CN107679076A - A kind of acquisition analysis system of electric power data - Google Patents
A kind of acquisition analysis system of electric power data Download PDFInfo
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- CN107679076A CN107679076A CN201710751234.3A CN201710751234A CN107679076A CN 107679076 A CN107679076 A CN 107679076A CN 201710751234 A CN201710751234 A CN 201710751234A CN 107679076 A CN107679076 A CN 107679076A
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- electric power
- power data
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- scrapy
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/957—Browsing optimisation, e.g. caching or content distillation
- G06F16/9577—Optimising the visualization of content, e.g. distillation of HTML documents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Abstract
The present invention relates to a kind of acquisition analysis system of electric power data, and for gathering electric power data information from the website with flow restriction and being analyzed, the system includes：Log-in module, for realizing logging in the website with flow restriction using multiple accounts simultaneously；Data acquisition module, electric power data is gathered for the means by reptile in the website logged in；Module is excavated, for the electric power data of data collecting module collected to be excavated and analyzed；Database, for the electric power data after the electric power data of data storage acquisition module collection and excavation module excavation.Compared with prior art, the present invention has the advantages that data mining is comprehensive, avoids flow restriction and be easily achieved.
Description
Technical field
The present invention relates to field of power, more particularly, to a kind of acquisition analysis system of electric power data.
Background technology
Web crawlers (be otherwise known as webpage spider, network robot) is a kind of according to certain rule, automatically crawl
The program or script of web message.The rarely needed name of other also has ant, automatic indexing, simulation program or
Worm.With developing rapidly for network, WWW turns into the carrier of bulk information, and search engine is as auxiliary people's retrieval
The instrument of information turns into the entrance and guide that user accesses WWW.By relevant information required on crawler capturing network simultaneously
Carry out big data analysis has turned into the main flow direction of research gradually, but has number of site at present, has flow restriction, causes
When carrying out the operation such as web crawlers on the web site, it can be limited by information such as identifying codes so that data can not be entered automatically
Row crawl, reduces analysis efficiency.
The content of the invention
The purpose of the present invention is to provide a kind of acquisition analysis system of electric power data regarding to the issue above.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of acquisition analysis system of electric power data, for gathering electric power data information from the website with flow restriction
And analyzed, the system includes：
Log-in module, for realizing logging in the website with flow restriction using multiple accounts simultaneously；
Data acquisition module, electric power data is gathered for the means by reptile in the website logged in；
Module is excavated, for the electric power data of data collecting module collected to be excavated and analyzed；
Database, for the electric power data after the electric power data of data storage acquisition module collection and excavation module excavation.
The log-in module includes：
Field acquiring unit, for reading the necessary field needed for the website logins with flow restriction；
Logon information injection unit, for the necessary field read according to field acquiring unit, it is automatically injected logon information；
Detection unit is logged in successfully, for judging whether successful log according to the return value of the website with flow restriction,
And sent after judging to log in successfully to data acquisition module and start order.
The necessary field includes server time, instant random number information and rsa encryption public key.
Server time, the instant random number information of reading, the rsa encryption of reading that the logon information includes reading are public
Key and the password crossed through rsa encryption.
The quantity of the data acquisition module and the quantity of account match.
The data acquisition module includes：
Scrapy reptile frameworks, for crawl collection by the means of reptile to electric power data, and by the electricity of collection
Force data is transmitted to database；
Message transmits queue, crawls record caused by Scrapy reptile frameworks for transmitting, will crawl record and transmit to number
Task distribution and load balance are carried out according to storehouse, and to Scrapy reptiles lower portion.
The Scrapy reptiles framework includes：
Scrapy engines, controlled for the core as Scrapy reptile frameworks at the data of whole Scrapy reptiles framework
Manage flow；
Dispatcher, for sending the request of crawl webpage and transmitting request to Scrapy engines；
Downloader, for the request for the crawl webpage for receiving to be transmitted by Scrapy engines, and grabbed according to request from network
Take webpage；
Spider, for being parsed to the webpage of crawl, gather electric power data and transmit electric power data to Scrapy and draw
Hold up, or the request of crawl webpage newly is produced according to analysis result and request is fed back into Scrapy engines；
Project conduit assembly, for the electric power data of spider collection to be obtained and preserved at Scrapy engines.
The excavation module includes：
First api interface, for calling the electric power data of data collecting module collected from database；
Data pre-processing unit, the electric power data for being called to the first api interface pre-process；
Cluster and taxon, for pretreated electric power data to be clustered and classified, and will cluster and classification
Electric power data afterwards is stored into database.
The system also includes data visualization module, and the data visualization module is connected with database, for that will dig
Electric power data after pick is illustrated, and shows the variation tendency of specific electric power data and electric power data.
The data visualization module includes：
Second api interface, the electric power data after module is excavated is excavated for being called from database；
Visualization, the data for the second api interface to be called graphically are shown.
Compared with prior art, the invention has the advantages that：
(1) by setting log-in module, while multiple accounts logging in the website with flow restriction is realized, avoided
When single account carries out crawler operation to the website, the account is caused to be verified the operational means such as code because crawl information is excessive
Limited, so as to continue the crawl of electric power data, so as to reduce the degree of accuracy of analysis and efficiency, while more accounts are simultaneously
Row logs in crawl, can also accelerate the grasp speed of data, improves operating efficiency.
(2) log-in module, can be real with prestissimo by the cooperation of field acquiring unit and logon information injection unit
Now to logging in the acquisition of required field requirement, and the input of related logon information is carried out as requested, realization entirely logs in stream
The automation of journey, improve collection and the analysis efficiency of electric power data.
(3) whether log-in module also includes logging in successfully detection unit, can detect to log in and succeed, and is notified in success
Data acquisition module proceeds by the collection of data reptile, and it is accurate with analyzing on the one hand can to increase the system progress data grabber
Degree, on the other hand because the website with flow restriction typically can also carry out corresponding number limitation when logging in, therefore it is logical
Cross and log in successfully detection unit and can avoid repeatedly logging in unsuccessfully situations such as caused account is closed as far as possible.
(4) quantity of data acquisition module and account quantity match, it can be ensured that each account has corresponding number
The collection of data is carried out for it according to acquisition module, ensures that multiple accounts can capture data parallel, ensures the collecting efficiency of data
And analysis efficiency.
(5) data acquisition module is crawled by Scrapy reptile frameworks to network data, is carried compared with data business is called
The data API of confession is compared, and is obtained quantity greatly and is saved cost, while can also accelerate the picking rate of data.
(6) task distribution and load balance are carried out to multiple Scrapy reptiles frameworks using message queue, avoids appearance
The idle situation of part Scrapy reptiles framework, further increase the efficiency and quality of data acquisition.
(7) data visualization module is provided with, the data after analysis can be visualized, be easy to related personnel
Checking and applying to result, intuitive display and effect is good, it is adapted to popularity.
(8) module and data visualization module are excavated data is all obtained from database by api interface, and indirect tune
The data of a module are used, the situation for causing whole system to be collapsed this avoid the paralysis of a certain module, enhance system
Stability.
(9) whole system is divided into log-in module, data acquisition module, excavates module and the major part of database four, whole system
System modularization, is easy to safeguard and repairs.
Brief description of the drawings
Fig. 1 is the structural representation of the present invention；
Fig. 2 is the structural representation of Scrapy reptile frameworks；
Wherein, 1 is log-in module, and 2 be data acquisition module, and 3 is excavate module, and 4 be database, and 11 be that field obtains list
Member, 12 be logon information injection unit, and 13 is log in successfully detection unit, and 21 be Scrapy reptile frameworks, and 22 be that message is transmitted
Queue, 211 be Scrapy engines, and 212 be dispatcher, and 213 be downloader, and 214 be spider, and 215 be project conduit assembly, and 31 are
First api interface, 32 be data pre-processing unit, and 33 be cluster and taxon.
Embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention
Premised on implemented, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to
Following embodiments.
As shown in figure 1, it is a kind of acquisition analysis system of electric power data, for being gathered from the website with flow restriction
Electric power data information is simultaneously analyzed, including：Log-in module 1, for being realized using multiple accounts to flow restriction simultaneously
Website log in；Data acquisition module 2, electric power data is gathered for the means by reptile in the website logged in；Excavate
Module 3, the electric power data for being gathered to data acquisition module 2 are excavated and analyzed；Database 4, is adopted for data storage
Collect the electric power data after the electric power data that module 2 gathers excavates with excavation module 3.
Wherein, log-in module 1 includes：Field acquiring unit 11, for reading needed for the website logins with flow restriction
Necessary field；Logon information injection unit 12, for the necessary field read according to field acquiring unit 11, it is automatically injected and steps on
Land information；Detection unit 13 is logged in successfully, for judging whether successful log according to the return value of the website with flow restriction,
And sent after judging to log in successfully to data acquisition module 2 and start order.Necessary field includes server time, immediately random
Number information and rsa encryption public key.Logon information include read server time, read instant random number information, read
Rsa encryption public key and the password crossed through rsa encryption.The quantity of data acquisition module 2 and the quantity of account match.
The workflow of the log-in module 1 is such：Field acquiring unit 11 reads the net with flow restriction first
Station logs in required necessary field, such as server time, instant random number and rsa encryption public key, and by these necessary fields
Transmit to logon information injection unit 12, logon information injection unit 12 and filled in the information of these necessary fields, simultaneously
The password crossed through rsa encryption is together inputted to the website and logs in interface, detection unit 13 is logged in successfully and receives stepping on for website
The data that land interface is returned, then notify data acquisition module 2 to start working if successful message is logged in, if unsuccessful to
Field acquiring unit 11 sends message and re-starts aforesaid operations to realize logging in for website, in the present embodiment, takes 16
Account to website log in simultaneously, experiments verify that 16 accounts can disposably be completed to log in substantially simultaneously.
Data acquisition module 2 includes：Scrapy reptiles framework 21, for being climbed to electric power data by the means of reptile
Collection is taken, and the electric power data of collection is transmitted to database 4；Message transmits queue 22, for transmitting Scrapy reptile frameworks
Record is crawled caused by 21, record will be crawled and transmitted to database 4, and task distribution is carried out to the inside of Scrapy reptiles framework 21
And load balance.Wherein, Scrapy reptiles framework 21 includes：Scrapy engines 211, for as Scrapy reptiles framework 21
Core controls the flow chart of data processing of whole Scrapy reptiles framework 21；Dispatcher 212, for sending the request of crawl webpage simultaneously
Request is transmitted to Scrapy engines 211；Downloader 213, for receiving to capture asking for webpage by what Scrapy engines 211 transmitted
Ask, and webpage is captured from network according to request；Spider 214, for being parsed to the webpage of crawl, collection electric power data is simultaneously
Electric power data is transmitted to Scrapy engines 211, or the request of crawl webpage newly is produced according to analysis result and please be negate
It is fed to Scrapy engines 211；Project conduit assembly 215, gathered for being obtained at Scrapy engines 211 and preserving spider 214
Electric power data.
The whole crawl flow (cycle) of spider 214 is such：First obtain first URL initial request, when please
A call back function is transferred after asking return.First request is by calling start_requests () method.This method is given tacit consent to
Request is generated from the Url in start_urls, and performs parsing to call call back function.In call back function, it can parse
Webpage responds and returns to item objects and ask the iteration of object or both.These request also will include one readjustment, then by
Scrapy is downloaded, and then has the readjustment processing specified.In call back function, the content of website is parsed, Xpath is used with journey
Selector (but BeautifuSoup can also be used, lxml or other any programs that you like), and generate the number of parsing
According to item.Finally, the project returned from spider 214 would generally be moved into project conduit assembly 215.
Excavating module 3 includes：First api interface 31, for the electricity for calling data acquisition module 2 to gather from database 4
Force data；Data pre-processing unit 32, the electric power data for being called to the first api interface 31 pre-process, i.e., to calling
Electric power data carry out pretreatment include segmenting, character representation and feature extraction；Cluster and taxon 33, for pretreatment
Electric power data afterwards is clustered and classified, and cluster and sorted electric power data are stored into database 4.
In the present embodiment, system also includes data visualization module, specifically includes：Second api interface, for from database
Called in 4 and excavate the electric power data after module 3 is excavated；Visualization, for the data of calling the second api interface with chart
Form be shown, wherein visualization can use Echarts, Google Charts, Leaflet, Dygraphs or
FushionCarts is realized.Wherein FusionCharts is provided more than 90 kinds of charts and diagram, from most basic money to entering
Rank version, such as crater blasting, hotspot map, scaling line chart and multiple axis chart etc..Dygraphs be it is a it is quick, flexibly increase income
JavaScript charts storehouse, user freely can explore and compile Method on Dense Type of Data Using collection.It has extremely strong interactivity, for example contracts
Put, translate and mouse-over etc. is all default-action.More rod, it also has very strong support to error line.Dygraphs
It is highly compatible, all major browsers all can normal operation (including the IE8 not being fond of).Leaflet is for movement
The JavaScript storehouses of increasing income that end friendly interaction map is done, are required for wherein containing most of Online Map developer
All features.Leaflet is designed to easy to use, function admirable instrument.HTML5 and CSS3 are attributed to the fact that, it is propped up
Hold all main flow computers and mobile platform.Google Charts provide perfect data visualization processing for website.From simple
For line chart to the classification arborescence of complexity, the masterplate that magnanimity is provided in his chart storehouse is available.Google Charts are such as
Class (classes) with JavaScript be equally it is open, can with on-demand customization, but generally the default style just can meet own
Demand.All chart styles are all to fill data using the table class of database 4 (DataTable class), it means that
Can when perfect expression effect is selected light converting form type.
Echarts, ECharts are have finally chosen in the present embodiment, abbreviation comes from Enterprise Charts, business level
Data drawing list, pure Javascript chart storehouse, smooth it can operate on PC and mobile device, it is compatible current big absolutely
Partial view device (IE6/7/8/9/10/11, chrome, firefox, Safari etc.), bottom rely on the Canvas classes of lightweight
Storehouse ZRender, there is provided it is directly perceived, vividly, can interact, can height personalized customization data visualization chart.The dragging weight of innovation
The characteristics such as calculating, Data View, codomain roaming greatly strengthen Consumer's Experience, imparts user and data are excavated, integrated
Ability.Support line chart (administrative division map), block diagram (bar graph), scatter diagram (bubble diagram), K line charts, pie chart (circular chart), thunder
The 12 class charts such as layout, map, instrument board, crater blasting, event river figure are oriented to up to figure (filling radar map), chord figure, power,
Simultaneously provide title, details bubble, legend, codomain, data area, time shaft, tool box etc. 7 can interactive component, support it is more
Chart, component linkage and mashed up show.Echarts can be seamlessly connected with Baidu map, supported large-scale data displaying, gathered around
There are very detailed development technique document, data-driven version development cost efficiency high.And so final choice Echarts conducts
The data visualization developing instrument of our project.
Claims (10)
- A kind of 1. acquisition analysis system of electric power data, for gathering electric power data information simultaneously from the website with flow restriction Analyzed, it is characterised in that the system includes：Log-in module, for realizing logging in the website with flow restriction using multiple accounts simultaneously；Data acquisition module, electric power data is gathered for the means by reptile in the website logged in；Module is excavated, for the electric power data of data collecting module collected to be excavated and analyzed；Database, for the electric power data after the electric power data of data storage acquisition module collection and excavation module excavation.
- 2. the acquisition analysis system of electric power data according to claim 1, it is characterised in that the log-in module includes：Field acquiring unit, for reading the necessary field needed for the website logins with flow restriction；Logon information injection unit, for the necessary field read according to field acquiring unit, it is automatically injected logon information；Detection unit is logged in successfully, for judging whether successful log according to the return value of the website with flow restriction, and Judgement is sent after logging in successfully to data acquisition module starts order.
- 3. the acquisition analysis system of electric power data according to claim 2, it is characterised in that the necessary field includes clothes Business device time, instant random number information and rsa encryption public key.
- 4. the acquisition analysis system of electric power data according to claim 2, it is characterised in that the logon information includes reading The server time taken, the instant random number information read, the rsa encryption public key read and the password crossed through rsa encryption.
- 5. the acquisition analysis system of electric power data according to claim 1, it is characterised in that the data acquisition module The quantity of quantity and account matches.
- 6. the acquisition analysis system of electric power data according to claim 1, it is characterised in that the data acquisition module bag Include：Scrapy reptile frameworks, for crawl collection by the means of reptile to electric power data, and by the electric power number of collection According to transmitting to database；Message transmits queue, crawls record caused by Scrapy reptile frameworks for transmitting, will crawl record and transmit to database, And task distribution and load balance are carried out to Scrapy reptiles lower portion.
- 7. the acquisition analysis system of electric power data according to claim 6, it is characterised in that the Scrapy reptiles framework Including：Scrapy engines, for controlling the data processing stream of whole Scrapy reptiles framework as the core of Scrapy reptile frameworks Journey；Dispatcher, for sending the request of crawl webpage and transmitting request to Scrapy engines；Downloader, for the request for the crawl webpage for receiving to be transmitted by Scrapy engines, and net is captured from network according to request Page；Spider, for being parsed to the webpage of crawl, gather electric power data and transmit electric power data to Scrapy engines, or The request of new crawl webpage is produced according to analysis result and request is fed back into Scrapy engines；Project conduit assembly, for the electric power data of spider collection to be obtained and preserved at Scrapy engines.
- 8. the acquisition analysis system of electric power data according to claim 6, it is characterised in that the excavation module includes：First api interface, for calling the electric power data of data collecting module collected from database；Data pre-processing unit, the electric power data for being called to the first api interface pre-process；Cluster and taxon, for pretreated electric power data to be clustered and classified, and will cluster and it is sorted Electric power data is stored into database.
- 9. the acquisition analysis system of electric power data according to claim 1, it is characterised in that the system also includes data Visualization model, the data visualization module are connected with database, for the electric power data after excavation to be illustrated, exhibition Show the variation tendency of specific electric power data and electric power data.
- 10. the acquisition analysis system of electric power data according to claim 9, it is characterised in that the data visualization mould Block includes：Second api interface, the electric power data after module is excavated is excavated for being called from database；Visualization, the data for the second api interface to be called graphically are shown.
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| CN109766373A (en) * | 2018-11-30 | 2019-05-17 | 厦门亿力吉奥信息科技有限公司 | Electric network data methods of exhibiting and computer readable storage medium |
| CN110059236A (en) * | 2019-03-27 | 2019-07-26 | 国网福建省电力有限公司泉州供电公司 | A kind of application network crawler technology carries out the data sampling and processing method of power planning receipts money |
| CN113343065A (en) * | 2021-07-01 | 2021-09-03 | 广东电网有限责任公司 | Power grid data acquisition system |
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Application publication date: 20180209 |