CN108446318A - A kind of mass data intelligent decision analysis system - Google Patents
A kind of mass data intelligent decision analysis system Download PDFInfo
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- CN108446318A CN108446318A CN201810127198.8A CN201810127198A CN108446318A CN 108446318 A CN108446318 A CN 108446318A CN 201810127198 A CN201810127198 A CN 201810127198A CN 108446318 A CN108446318 A CN 108446318A
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Abstract
The present invention provides a kind of mass data intelligent decision analysis system, and the system comprises data acquisition module, data models to establish module, data monitoring module, Analysis of Policy Making module, coordinated scheduling module, alarming and managing module and statement management module；The system is used for the mass data at real-time reception internet end, carries out data modeling, intelligence computation analysis according to the data obtained, the data information of each server of real-time tranception is simultaneously controlled according to the operating status of each server.Mass data intelligent decision analysis system of the present invention distributes according to need to each server, front end to the advanced row data pick-up of mass data information sort out, write typesetting again, data screening condition is carried out to each server again and generates option inventory, then corresponding data distribution is carried out to each server, so as to shorten data processing cycle, time cost is saved.
Description
Technical field
The present invention relates to big data technical fields, and in particular to a kind of mass data intelligent decision analysis system.
Background technology
In recent years, with the development of network, the Various types of data that circulates on network be even more increase it is surprising, with data volume
Increase, most of company all creates data informationization storage processing system, but data are also growing day by day, how effectively to integrate
These data improve working efficiency, are current urgent problems to help quickly and accurately to make a policy.
Invention content
To overcome the problems, such as at least to a certain extent present in the relevant technologies, the application provides a kind of mass data intelligence
Decision analysis system.
The purpose of the present invention is what is realized using following technical proposals：
The present invention provides a kind of mass data intelligent decision analysis system, it is improved in that the system comprises numbers
Module, data monitoring module, Analysis of Policy Making module, coordinated scheduling module, alarming and managing mould are established according to acquisition module, data model
Block and statement management module；The system is used for the mass data at real-time reception internet end, is carried out according to the data obtained
Data modeling, intelligence computation analysis, the data information of each server of real-time tranception are simultaneously carried out according to the operating status of each server
Control.
Further, the data acquisition module provides data, including acquisition mass data and each clothes for system modelling
The data information of business device is preserved into volatile data base.
Further, the data model establishes module, and model is established according to mass data, according to the data of each server
Information analyzes the storage state of each server, carries out the task distribution of each server.
Further, it is described according to mass data establish model include in volatile data base data carry out unified structure
Change is handled；To sort out data pick-up according to content and/or important news, data are write with typesetting output result and input system again
Database.
Further, described by data pick-up classification includes that data are carried out classification processing according to label rule, according to setting
Set pattern then extracts key content from the extraction content and sorts out；
It includes writing articles algorithm according to intelligence to count that the data write typesetting output result and input system database again
It is write according to typesetting again, typesetting again is write to the data of rear data source, according to different classes of arrangement storage to system database.
Further, the Analysis of Policy Making module is used to carry out Analysis of Policy Making to each server and issues control instruction,
Storage state including analyzing each server, the option combination that carry out data analysis is chosen from each server, fills in number
According to screening conditions, a option inventory is generated；Option inventory and corresponding attribute information, data screening condition are stored to data
Model building module；
The Analysis of Policy Making module further includes, to the historical data curve, prediction data curve, real data of each server
Curve, operating condition and implementation of the plan are analyzed.
Further, the coordinated scheduling module is held according to option inventory and corresponding attribute information, data screening condition
Row mass data parser, traverses and verifies mass data parser, complete data after verification according to option inventory and
Corresponding attribute information, data screening result are issued to each server.
Further, the data monitoring module is used for the mass data at system real-time collecting internet end, and with chart
Form is shown；It is described to be shown in graphical form including carrying out data distribution displaying, and according to the application of different data
Scene carries out the displaying of different diagrammatic forms；
The alarming and managing module, for system during the mass data for receiving internet end executes, if data are
Flame, then alert, analyzes and executes into row information feedback and to the processing data information in time；
The statement management module, system quickly generate report statement while receiving the mass data at internet end, raw
At report statement can be directly stored in system, system decision-making analysis module carries out multidimensional point to report data acquisition system on report statement
Analysis generates Analysis of Policy Making report.
Further, the server establishes the network connection of real-time online with system, and the server is carried out with system
Both-way communication, the data for reporting the data information of each server and reception system to issue and dispatch command, the communication with system pass through
Encryption and verification.
Further, the server include be locally stored with data breakpoint transmission, even if casual network interrupt, remain to by
Plan executes regulation and control task, and records regulation and control result；Data when by network interruption are automatically stored, and upload in time and be
System, to ensure the integrality of data information.
In order to the embodiment to disclosure some aspects there are one basic understanding, simple summary is shown below.It should
Summarized section is not extensive overview, nor to determine key/critical component or describe the protection domain of these embodiments.
Its sole purpose is that some concepts are presented with simple form, in this, as the preamble of following detailed description.
Compared with the immediate prior art, the excellent effect that technical solution provided by the invention has is：
Mass data intelligent decision analysis system of the present invention distributes according to need to each server, in front end to magnanimity number
Sort out it is believed that ceasing advanced row data pick-up, write typesetting again, then is clear to each server progress data screening condition generation option
It is single, corresponding data distribution then is carried out to each server, so as to shorten data processing cycle, saves time cost.
The present invention also carries out data monitoring, alarming and managing and report management, the progress of real-time monitoring data and ensures data
Safety.
For above-mentioned and relevant purpose, certain illustrative aspects are described in detail in the following description and the annexed drawings, and
Some modes in its only utilizable various mode of principle of each embodiment indicated.Other benefits and novelty
Property feature by as following detailed description is considered in conjunction with the accompanying and becomes apparent, the disclosed embodiments be to include it is all this
A little aspects and they be equal.
Description of the drawings
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the application
Example, and the principle together with specification for explaining the application.
Fig. 1 is a kind of mass data intelligent decision analysis system structural schematic diagram provided by the invention.
Specific implementation mode
The specific implementation mode of the present invention is described in further detail below in conjunction with the accompanying drawings.
The following description and drawings fully show specific embodiments of the present invention, to enable those skilled in the art to
Put into practice them.Other embodiments may include structure, logic, it is electrical, process and other change.Embodiment
Only represent possible variation.Unless explicitly requested, otherwise individual component and function are optional, and the sequence operated can be with
Variation.The part of some embodiments and feature can be included in or replace part and the feature of other embodiments.This hair
The range of bright embodiment includes equivalent obtained by the entire scope of claims and all of claims
Object.Herein, these embodiments of the invention can individually or generally be indicated that this is only with term " invention "
For convenience, it and if in fact disclosing the invention more than one, is not meant to automatically limit ranging from appointing for the application
What single invention or inventive concept.
As shown in Figure 1, the present invention provides a kind of mass data intelligent decision analysis system, the system comprises data acquisitions
Module, data model establish module, data monitoring module, Analysis of Policy Making module, coordinated scheduling module, alarming and managing module and report
Table management module；The system is used for the mass data at real-time reception internet end, and carrying out data according to the data obtained builds
Mould, intelligence computation analysis, the data information of each server of real-time tranception are simultaneously controlled according to the operating status of each server.
In above-mentioned technical proposal, the data acquisition module provides data, including acquisition mass data for system modelling
With the data information of each server；
In above-mentioned technical proposal, the data information of the acquisition mass data and each server includes to be climbed according to network
Worm, which captures to obtain data information, to be stored into volatile data base.
In above-mentioned technical proposal, the data model establishes module, and model is established according to mass data, according to each server
Data information analyze the storage state of each server, carry out the task distribution of each server, make storage standard appropriate
It is standby.
In above-mentioned technical proposal, it is described according to mass data establish model include to the data in the volatile data base into
The processing of row unified structureization；To sort out data pick-up according to content and/or important news, data are write with typesetting output knot again
Fruit and input system database.
In above-mentioned technical proposal, it is described by data pick-up classification include that data are subjected to classification processing according to label rule,
Key content is extracted from the extraction content and sort out according to setting rule；
It includes writing articles algorithm according to intelligence to count that the data write typesetting output result and input system database again
It is write according to typesetting again, the data of rear data source is write into typesetting again and according to different classes of arrangement storage to system data
Library.
In above-mentioned technical proposal, the system database can carry out data query, data modification, real time data to data and adopt
Sample rule editing.
In above-mentioned technical proposal, the Analysis of Policy Making module is used to carry out Analysis of Policy Making to each server and issue control to refer to
It enables comprising the storage state for analyzing each server is chosen the option combination that carry out data analysis from each server, filled out
Data screening condition is write, a option inventory is generated；By option inventory and corresponding attribute information, data screening condition store to
Data model establishes module.
In above-mentioned technical proposal, the Analysis of Policy Making module further includes historical data curve, prediction number to each server
It is analyzed according to curve, real data curve, operating condition and implementation of the plan, the shape of different server can be got information about
State information.
In above-mentioned technical proposal, the coordinated scheduling module is according to option inventory and corresponding attribute information, data screening
Condition executes mass data parser, traverses and verify mass data parser, completes data after verifying according to option
Inventory and corresponding attribute information, data screening result are issued to each server.
In above-mentioned technical proposal, the data monitoring module is used for the mass data at system real-time collecting internet end, and
It is shown in graphical form；It is described to be shown in graphical form including carrying out data distribution displaying, and according to different data
Application scenarios carry out the displayings of different diagrammatic forms.
In above-mentioned technical proposal, the alarming and managing module is executed for system in the mass data for receiving internet end
Period, if data are flame, alert is analyzed into row information feedback and to the processing data information in time
And it executes；System intelligent shielding principle shielding sensitive data can be used or manually handle.
In above-mentioned technical proposal, the statement management module, system receives quick while the mass data at internet end
Report statement is generated, the report statement of generation can be directly stored in system, convenient for checking later, and can customize title；Report report
Table can carry out the operations such as preview, search, download, deletion, and report is supported export and directly printed.
In above-mentioned technical proposal, the report statement is stored in system, and system decision-making analysis module is to report on report statement
Data acquisition system carries out multidimensional analysis, generates Analysis of Policy Making report.
In above-mentioned technical proposal, the server and system establish the network connection of real-time online, server and system into
On the one hand row both-way communication reports the data information of each server, the data and dispatch command that another aspect reception system issues,
Meanwhile with the communication of system it is encrypted and verification, to ensure that data are not tampered and eavesdrop.
In above-mentioned technical proposal, the server include be locally stored with data breakpoint transmission function, can store data,
Store tasks after receiving task, even if casual network interrupts, still can execute regulation and control task according to plan, and record regulation and control knot
Fruit；Data when by network interruption are automatically stored, and upload to system in time, to ensure the integrality of data information.
In above-mentioned technical proposal, the relevant all basic parameters of Analysis of Policy Making of the present invention are stored to system database.
In above-mentioned detailed description, various features are combined together in single embodiment, to simplify the disclosure.No
This published method should be construed to reflect such intention, that is, the embodiment of theme claimed needs clear
The more features of feature stated in each claim to Chu.On the contrary, that reflected such as appended claims
Sample, the present invention are in the state fewer than whole features of disclosed single embodiment.Therefore, appended claims is special
This is expressly incorporated into detailed description, and wherein each claim is used as alone the individual preferred embodiment of the present invention.
Finally it should be noted that：The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, to the greatest extent
Invention is explained in detail with reference to above-described embodiment for pipe, and those of ordinary skill in the art still can be to this hair
Bright specific implementation mode is modified or replaced equivalently, these without departing from spirit and scope of the invention any modification or
Equivalent replacement, within the claims for applying for the pending present invention.
Claims (10)
1. a kind of mass data intelligent decision analysis system, which is characterized in that the system comprises data acquisition module, data moulds
Type establishes module, data monitoring module, Analysis of Policy Making module, coordinated scheduling module, alarming and managing module and statement management module；
The system is used for the mass data at real-time reception internet end, and data modeling, intelligence computation are carried out according to the data obtained
Analysis, the data information of each server of real-time tranception are simultaneously controlled according to the operating status of each server.
2. a kind of mass data intelligent decision analysis system as described in claim 1, which is characterized in that the data acquisition module
Block provides data for system modelling, including the data information of acquisition mass data and each server is preserved to volatile data base
In.
3. a kind of mass data intelligent decision analysis system as described in claim 1, which is characterized in that the data model is built
Formwork erection block establishes model according to mass data, and the storage state of each server is analyzed according to the data information of each server,
Carry out the task distribution of each server.
4. a kind of mass data intelligent decision analysis system as claimed in claim 3, which is characterized in that described according to magnanimity number
Include that unified structure processing is carried out to the data in volatile data base according to model is established；Will be counted according to content and/or important news
Sort out according to extracting, data are write with typesetting output result and input system database again.
5. a kind of mass data intelligent decision analysis system as claimed in claim 4, which is characterized in that
Described by data pick-up classification includes that data are carried out classification processing according to label rule, according to setting rule from the pumping
It takes and extracts key content in content and sort out；
It includes writing articles algorithm by data weight according to intelligence that the data write typesetting output result and input system database again
New typesetting is write, and typesetting again is write to the data of rear data source, according to different classes of arrangement storage to system database.
6. a kind of mass data intelligent decision analysis system as described in claim 1, which is characterized in that
The Analysis of Policy Making module is used to carry out Analysis of Policy Making to each server and issues control instruction comprising each clothes of analysis
The storage state of business device, the option combination that carry out data analysis is chosen from each server, fills in data screening condition, is generated
A option inventory；Option inventory and corresponding attribute information, data screening condition are stored to data model and establish module；
The Analysis of Policy Making module further includes, bent to the historical data curve, prediction data curve, real data of each server
Line, operating condition and implementation of the plan are analyzed.
7. a kind of mass data intelligent decision analysis system as described in claim 1, which is characterized in that
The coordinated scheduling module executes mass data point according to option inventory and corresponding attribute information, data screening condition
Algorithm is analysed, mass data parser is traversed and verify, believes data according to option inventory and corresponding attribute after completing verification
Breath, data screening result are issued to each server.
8. a kind of mass data intelligent decision analysis system as described in claim 1, which is characterized in that
The data monitoring module, is used for the mass data at system real-time collecting internet end, and is shown in graphical form；
It is described to be shown in graphical form including carrying out data distribution displaying, and carry out different figures according to the application scenarios of different data
The displaying of sheet form；
The alarming and managing module, for system during the mass data for receiving internet end executes, if data are bad
Information, then alert, analyzes and executes into row information feedback and to the processing data information in time；
The statement management module, system quickly generate report statement while receiving the mass data at internet end, generation
Report statement can be directly stored in system, and system decision-making analysis module carries out multidimensional analysis to report data acquisition system on report statement,
Generate Analysis of Policy Making report.
9. a kind of mass data intelligent decision analysis system as described in claim 1, which is characterized in that
The server establishes the network connection of real-time online with system, and the server carries out both-way communication with system, reports
The data and dispatch command that the data information and reception system of each server issue, with the communication of system it is encrypted and verification.
10. a kind of mass data intelligent decision analysis system as claimed in claim 9, which is characterized in that
The server includes being locally stored to remain to execute regulation and control according to plan even if casual network interrupts with data breakpoint transmission
Task, and record regulation and control result；Data when by network interruption are automatically stored, and upload to system in time, to ensure to count
It is believed that the integrality of breath.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109992417A (en) * | 2019-03-20 | 2019-07-09 | 跬云(上海)信息科技有限公司 | Precomputation OLAP system and implementation method |
| CN110377421A (en) * | 2019-06-26 | 2019-10-25 | 联动优势科技有限公司 | Data source access method and device based on single data items label |
| CN110727516A (en) * | 2019-10-12 | 2020-01-24 | 江苏卫健信息科技有限公司 | Data analysis task allocation method |
| CN111239523A (en) * | 2020-02-21 | 2020-06-05 | 江西三晶电气有限公司 | Frequency converter testing system, method and device and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101615176A (en) * | 2009-08-07 | 2009-12-30 | 北京协成致远网络科技有限公司 | A kind of data monitoring system and implementation method |
| US20140330968A1 (en) * | 2011-12-15 | 2014-11-06 | Telefonaktiebolaget L M Ericsson (Publ) | Method and trend analyzer for analyzing data in a communication network |
| CN106060149A (en) * | 2016-06-24 | 2016-10-26 | 北京交通大学 | Mobile internet mass data analysis and audit technical architecture |
| CN106649718A (en) * | 2016-12-22 | 2017-05-10 | 盐城工学院 | Large data acquisition and processing method for PDM system |
| CN107066550A (en) * | 2017-03-23 | 2017-08-18 | 广州速鸿信息科技有限公司 | A kind of intelligent decision system construction method based on big data |
-
2018
- 2018-02-08 CN CN201810127198.8A patent/CN108446318A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101615176A (en) * | 2009-08-07 | 2009-12-30 | 北京协成致远网络科技有限公司 | A kind of data monitoring system and implementation method |
| US20140330968A1 (en) * | 2011-12-15 | 2014-11-06 | Telefonaktiebolaget L M Ericsson (Publ) | Method and trend analyzer for analyzing data in a communication network |
| CN106060149A (en) * | 2016-06-24 | 2016-10-26 | 北京交通大学 | Mobile internet mass data analysis and audit technical architecture |
| CN106649718A (en) * | 2016-12-22 | 2017-05-10 | 盐城工学院 | Large data acquisition and processing method for PDM system |
| CN107066550A (en) * | 2017-03-23 | 2017-08-18 | 广州速鸿信息科技有限公司 | A kind of intelligent decision system construction method based on big data |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109992417A (en) * | 2019-03-20 | 2019-07-09 | 跬云(上海)信息科技有限公司 | Precomputation OLAP system and implementation method |
| CN110377421A (en) * | 2019-06-26 | 2019-10-25 | 联动优势科技有限公司 | Data source access method and device based on single data items label |
| CN110377421B (en) * | 2019-06-26 | 2021-06-29 | 联动优势科技有限公司 | Data source access method and device based on single data item label |
| CN110727516A (en) * | 2019-10-12 | 2020-01-24 | 江苏卫健信息科技有限公司 | Data analysis task allocation method |
| CN110727516B (en) * | 2019-10-12 | 2020-08-28 | 江苏卫健信息科技有限公司 | Data analysis task allocation method |
| CN111239523A (en) * | 2020-02-21 | 2020-06-05 | 江西三晶电气有限公司 | Frequency converter testing system, method and device and storage medium |
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