CN110009238A - A kind of city operations Synthetic Decision Method, system, electronic equipment and storage medium - Google Patents
A kind of city operations Synthetic Decision Method, system, electronic equipment and storage medium Download PDFInfo
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Abstract
The present embodiments relate to big data analysis processing technology fields, and in particular to a kind of city operations Synthetic Decision Method, system, electronic equipment and storage medium.By using the real-time Computational frame of big data, data-handling capacity, treatment effeciency and timeliness are significantly improved, for user provide more comprehensively, more real-time decision basis data, and then improve decision science and accuracy；By the application of data visualization plan and GIS map, more intuitive, vivider usage experience is brought for user.
Description
Technical field
The present embodiments relate to big data analysis processing technology fields, and in particular to a kind of city operations integrated decision-making side
Method, system, electronic equipment and storage medium.
Background technique
Various regions smart city has built up multiple wisdom applications, also achieves the city integrated decision-making platform of many professions,
But still there are the following problems: 1) due to technical limitation, the processing capacity and treatment effeciency of big data are to be improved；2) it respectively answers
Basic data source is single, and the support data of all foundations of decision are not comprehensive, and leading to the result of decision, there are deviations；3) certainly
Plan data, the result of decision presentation mode on, be substantially the effect carried out based on 2 dimension maps and present, bandwagon effect and accurate
There are a certain distance in property.
Summary of the invention
For this purpose, the embodiment of the invention provides a kind of city operations Synthetic Decision Method, system and electronic equipment, to solve
Prior art basis data source is single, there are problems that a certain distance in bandwagon effect and accuracy.
To achieve the goals above, embodiments of the present invention provide the following technical solutions:
Embodiments of the present invention are in a first aspect, provide a kind of city operations Synthetic Decision Method, which comprises
It acquires and stores the historical data in multi-service source and the conduct basis data of incremental data；Basic data is pre-processed,
And by a variety of analysis mining tools, in conjunction with profession analysis model, carry out big data analysis excavation, find Various types of data between
Relationship；And data visualization presentation is carried out to the relationship between analysis result and Various types of data in a manner of immersion, it is city side entirely
The integrated decision-making of position, which provides, applies supporting；Wherein, it is counted in real time by the distributed big data that Spark Streaming is provided
Frame is calculated, data acquisition, data prediction, data analysis mining calculate, analysis model calculates verifying.
In one embodiment of the invention, the basic data includes: the business obtained by data adapter unit plug-in unit
Data, the data acquisition of terminal obtained by data standard access interface and the internet data obtained by web crawlers.
In one embodiment of the invention, the business datum includes: relational data, file and WebService/
RESTful api interface data；The data acquisition of terminal includes: each Internet of Things terminal data；The internet data includes:
Network data from government website, news, forum and microblogging.
It in one embodiment of the invention, is the data visualization by two kinds of interfaces of RESTful and WebService
Change to present and data service is provided, the tool that the data visualization is presented includes integrated JQuery demonstration tool, Echarts exhibition
Show tool, BootStrap demonstration tool, Angular demonstration tool, HTML5 demonstration tool and GIS demonstration tool.
In one embodiment of the invention, the application tool using supporting includes that integrated dispatch service is answered
Tool and prison are served by with tool, unified certification application tool, workflow application tool, search service application tool, notice
Control is served by tool.
In one embodiment of the invention, when carrying out big data analysis excavation, using machine learning, artificial intelligence
Can mode the analysis model is constantly verified, tuning, form suitable analysis model；And pass through semantic analysis, day
Will analyzes many algorithms, the data calculation processing of support various mechanism data analysis and unstructured data.
In one embodiment of the invention, the analysis model includes: population analysis model, for by including people
The analysis mining for the theme that mouth portrait, personal credit and entrance are migrated provides data supporting for the population policy formulation in city；
Legal person's analysis model, for being city tax revenue by the analysis mining to the theme for including legal person's distribution, business standing distribution, producing
Industry helps decision to provide data supporting；Social public opinion analysis model, for by the theme for including hot spot public sentiment, diffusion path
Analysis mining for public sentiment disposition etc. decisions data supporting is provided；Didactic analysis model for analysis foundation educational resource and is fitted
The matching degree of age child base data, and then Added Management person carries out basic planning construction；Traffic analysis model, for analyzing public affairs
It hands over management data, congested link and congestion reason and then is optimization public bus network, controls and stifled provide Auxiliary support；Environmental protection analysis mould
Type provides data supporting including water quality, air quality, the basic data of noise for analyzing for pollution control；Comprehensive improvement, which is administered, divides
Model is analysed, for being Synthetic by the analysis mining to the theme for including the high-incidence analysis of event, geographical distribution and disposal efficiency
It manages key object and data supporting is provided；And credit analysis model, for by analysis include sincere feature, stain distribution, come
The basic data of source distribution, discovery break one's promise and faithful emphasis direction, and then provide data foundation to formulate credit decision.
The second aspect of embodiments of the present invention provides a kind of city operations synthetical decision system, the system packet
It includes: data source management module, for acquiring and storing the historical data in multi-service source and the conduct basis data of incremental data；
Big data mining analysis module for pre-processing to basic data, and passes through a variety of analysis mining tools, in conjunction with profession
Analysis model carries out big data analysis excavation, finds the relationship between Various types of data；Data service and application supporting module,
For providing for the comprehensive integrated decision-making in city using supporting；And data show visualization model, for immerse
Formula mode carries out data visualization presentation to the relationship between analysis result and Various types of data.
The third aspect of embodiments of the present invention, provides a kind of electronic equipment, and the electronic equipment includes: processing
Device, memory；The memory store code；The processor executes the code, for executing city described in first aspect
City runs Synthetic Decision Method.
The fourth aspect of embodiments of the present invention provides a kind of computer readable storage medium for storing program, institute
Stating program includes instruction, when described instruction is computer-executed, the computer is made to execute city operations described in first aspect
Synthetic Decision Method.
Embodiment according to the present invention, data administering method provided in an embodiment of the present invention, system, electronic equipment and is deposited
Storage media has the advantages that, by using the real-time Computational frame of big data, data-handling capacity, treatment effeciency and timeliness are aobvious
Write improve, for user provide more comprehensively, more real-time decision basis data, and then raising decision science and accuracy；It is logical
Data visualization plan and the application of GIS map are crossed, brings more intuitive, vivider usage experience for user.
Detailed description of the invention
It, below will be to embodiment party in order to illustrate more clearly of embodiments of the present invention or technical solution in the prior art
Formula or attached drawing needed to be used in the description of the prior art are briefly described.It should be evident that the accompanying drawings in the following description is only
It is merely exemplary, it for those of ordinary skill in the art, without creative efforts, can also basis
The attached drawing of offer, which is extended, obtains other implementation attached drawings.
Fig. 1 is a kind of building-block of logic for city operations synthetical decision system that one embodiment of the invention provides；
Fig. 2 is a kind of flow chart for city operations Synthetic Decision Method that one embodiment of the invention provides.
In figure: 01. data source management module, 02. big data mining analysis module, 03. data service and application support clothes
Business, 04. data show visualization model.
Specific embodiment
Embodiments of the present invention are illustrated by particular specific embodiment below, those skilled in the art can be by this explanation
Content disclosed by book is understood other advantages and efficacy of the present invention easily, it is clear that described embodiment is the present invention one
Section Example, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
The embodiment of the present invention uses big data technology and technology of Internet of things, capturing service unit business datum, terminal acquisition
Data and internet data；Using the real-time Computational frame of big data, analyzes, the relationship between excavation Various types of data, establish a variety of points
Model is analysed, and model is constantly verified, tuning, suitable analysis model is formed.With GIS technology and data visualization skill
Smart city analysis result data is presented in art, provides support for city integrated decision.
With reference to Fig. 1, a kind of city operations synthetical decision system provided in an embodiment of the present invention includes: data source management module
01, big data mining analysis module 02, data service and application supporting module 03 and data show visualization model 04.
With reference to Fig. 2, a kind of city operations Synthetic Decision Method includes: that data source management module 01 acquires and stores multi-service
The historical data in source and the conduct basis data of incremental data；Big data mining analysis module 02 locates basic data in advance
Reason, and by a variety of analysis mining tools, in conjunction with profession analysis model, carry out big data analysis excavation, discovery Various types of data
Between relationship；And data service and application supporting module 03 in a manner of immersion to analysis result and Various types of data between pass
System carries out data visualization presentation, and data show that visualization model 04 provides for the comprehensive integrated decision-making in city using support clothes
Business；Wherein, the real-time Computational frame of distributed big data that the embodiment of the present invention is provided by Spark Streaming completes number
It is calculated according to acquisition, data prediction, data analysis mining, analysis model calculates verifying.
Spark is the class that UC Berkeley AMP lab (laboratory AMP of University of California Berkeley) is increased income
The universal parallel frame of Hadoop MapReduce, Spark possess advantage possessed by Hadoop MapReduce；But it is different
What it is in MapReduce is --- output result can save in memory among Job, to no longer need to read and write HDFS, therefore
Spark can preferably be suitable for the algorithm that data mining and machine learning etc. need the MapReduce of iteration.Spark is a kind of
Open source cluster computing environment similar with Hadoop, but there is also some differences, these useful differences between the two
Place makes Spark show in terms of certain workloads more superior, and in other words, Spark enables memory distributed data
Collection, other than being capable of providing interactive inquiry, it can be with Optimized Iterative workload.Spark is realized in Scala language
, Scala is used as its application framework by it.Different from Hadoop, Spark and Scala can be closely integrated, therein
Scala can easily operate distributed data collection as operating local collection object.Although creating Spark is to support
Iteration operation on distributed data collection, but actually it is supplement to Hadoop, it can be in Hadoop file system
Parallel operation.This behavior can be supported by third party's cluster frameworks of entitled Mesos.Spark is by University of California's Berkeley point
The school laboratory AMP (Algorithms, Machines, and People Lab) exploitation can be used to construct large size, low latency
Data analysis application program.Spark Streaming is for handling streaming computational problem.Can with other modules of Spark without
Seam is integrated.Spark Streaming is the frame of a coarseness, that is, can only be to batch of data designated treatment method, core
The heart is using micro- batch architecture.The difference handled with item used with Storm.Spark Streaming can run receiver
All data in time range, are broken into one at the time then configured according to program by the continuous data flow for receiving input
RDD is sent to SparkCore and goes to be handled.Successively play the calculating of paired data stream.Spark Streaming has it certainly
Oneself is abstract, is DStream Discretized Stream discretization stream.
In the embodiment of the present invention, basic data includes: business datum, data acquisition of terminal and internet data, wherein number
According to source control module 01 by data adapter unit plug-in unit obtain business datum, business datum includes: relational data, file and
Web service/RESTful api interface data；Web service is that a platform is independent, lower coupling, self-contained
, application program based on programmable web, open XML (a subset under standard generalized markup language) mark can be used
Standard describes, issues, finds, coordinates and configure these application programs, for developing the application program of distributed interoperability.
RESTful is a kind of software architecture style, design style, rather than standard, merely provides one group of design principle and constraint item
Part.It is mainly used for the software of client and server interactive class.Software based on this Style Design can be more succinct, more has
Level, it is easier to realize the mechanism such as caching.Data source management module 01 obtains terminal by data standard access interface and acquires number
According to data acquisition of terminal includes: each Internet of Things terminal data；The internet that data source management module 01 is obtained by web crawlers
Data, internet data include: the network data from government website, news, forum and microblogging, data source management module 01
Business datum, data acquisition of terminal and internet data are sent to big data mining analysis module 02 by data/address bus.
Data show that visualization model 04 integrates JQuery, Echarts, BootStrap, Angular, HTML5, GIS etc.
Analysis result data and decision support data are presented in a variety of front-end technology, visualization, and data show in visualization model 04 and integrate
The tool that a variety of data visualizations are presented comprising JQuery demonstration tool, Echarts demonstration tool, BootStrap are shown
Tool, Angular demonstration tool, HTML5 demonstration tool and GIS demonstration tool.And pass through RESTFUL and two kinds of WebService
Mode provides data service for data visualization.
JQuery is a quick, succinct JavaScript frame, is that another is outstanding after Prototype
JavaScript code library (or JavaScript frame).Echarts is a pure JavaScript chart library, ECharts, contracting
It writes from Enterprise Charts, business level data drawing list, the chart library of a pure Javascript, fortune that can be smooth
It goes on PC and mobile device, the current overwhelming majority browser of compatibility (IE6/7/8/9/10/11, chrome, firefox,
Safari etc.), bottom relies on the Canvas class libraries ZRender of lightweight, provides intuitively, vividly, can interact, can height personalization
The data visualization chart of customization.The characteristics such as the dragging re-computation of innovation, Data View, codomain roaming greatly strengthen user's body
It tests, imparts the ability that user excavates data, integrates.Bootstrap is the designer Mark of Twitter company, the U.S.
Otto with Jacob Thornton cooperates succinct, intuitive, the intrepid front end exploitation developed based on HTML, CSS, JavaScript
Frame, so that Web exploitation is more quick.Angular is a MVC frame, and Angular reduces on the page to the greatest extent
DOM operation allows JavaScript to develop and is absorbed in service logic, and code structure is more reasonable, and maintenance cost is lower, by simply referring to
It enables and page structure and data is combined, modularization programming is realized by custom instruction.HTML5 be WWW kernel language,
Standard criterion after 5th material alteration of application hypertext markup language (HTML) under standard generalized markup language.
A variety of application tools using supporting are integrated in data service and application supporting module 03 comprising
Dispatch service application tool, unified certification application tool, workflow application tool, search service application tool, notice service are answered
With tool and monitoring service application tool.
Big data mining analysis module 02 is when carrying out big data analysis excavation, using machine learning, artificial intelligence
Mode constantly verifies the analysis model, tuning, forms suitable analysis model；And pass through semantic analysis, log
Analyze many algorithms, the data calculation processing of support various mechanism data analysis and unstructured data.
A variety of analysis models are integrated in big data mining analysis module 02 comprising: population analysis model, for passing through
Number is provided to including the analysis mining for the theme that population portrait, personal credit and entrance are migrated for the population policy formulation in city
According to support；Legal person's analysis model, for being city by the analysis mining to the theme for including legal person's distribution, business standing distribution
Tax revenue, industry help decision to provide data supporting；Social public opinion analysis model, for by including hot spot public sentiment, diffusion road
The analysis mining of the theme of diameter provides data supporting for decisions such as public sentiment disposition；Didactic analysis model is used for analysis foundation education
The matching degree of resource and school-age children's basic data, and then Added Management person carries out basic planning construction；Traffic analysis model is used
In analysis public transport management data, congested link and congestion reason so be optimization public bus network, control and stifled provide Auxiliary support；Environmental protection
Analysis model provides data supporting including water quality, air quality, the basic data of noise for analyzing for pollution control；Comprehensive improvement
Analysis model is administered, for being by the analysis mining to the theme for including the high-incidence analysis of event, geographical distribution and disposal efficiency
Comprehensive treatment key object provides data supporting；And credit analysis model, for including sincere feature, stain point by analysis
Cloth, the basic data for carrying out source distribution, discovery break one's promise and faithful emphasis direction, and then for formulation credit decision provide data according to
According to.
The real-time Computational frame of distributed big data that the embodiment of the present invention is provided by Spark Streaming is completed more
Historical data and the incremental data acquisition in business source, data prediction, data analysis mining calculates, analysis model calculating is tested
Card；By a variety of data visualization techniques such as GIS service, by city operations data, analysis result data, decision data, with heavy
Immersion effect is presented to policymaker；Combination technology means and management measure as far as possible in time, completely collect city business datum
And basic data, data are more comprehensively and accurately supported to provide for policymaker.
In addition, a kind of electronic equipment that the embodiment of the present invention proposes, the equipment includes: one or more processors；It deposits
Reservoir, for storing one or more programs；When one or more of programs are executed by one or more of processors, make
It obtains one or more of processors and realizes city operations Synthetic Decision Method as described above.
In addition, a kind of computer storage medium that the embodiment of the present invention proposes, the computer storage medium are stored with meter
Calculation machine program instruction, the computer program instructions are for executing city operations Synthetic Decision Method as described above.
In an embodiment of the present invention, modules or system can be the processor formed by computer program instructions,
Processor can be a kind of IC chip, the processing capacity with signal.Processor can be general processor, number letter
Number processor (Digital Signal Processor, abbreviation DSP), specific integrated circuit (Application Specific
Integrated Circuit, abbreviation ASIC), field programmable gate array (FieldProgrammable GateArray, letter
Claim FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hardware components.
It may be implemented or execute disclosed each method, step and the logic diagram in the embodiment of the present invention.General procedure
Device can be microprocessor or the processor is also possible to any conventional processor etc..In conjunction with disclosed in the embodiment of the present invention
Method the step of can be embodied directly in hardware decoding processor and execute completion, or with hardware in decoding processor and soft
Part block combiner executes completion.Software module can be located at random access memory, and flash memory, read-only memory may be programmed read-only storage
In the storage medium of this fields such as device or electrically erasable programmable memory, register maturation.Processor reads storage medium
In information, in conjunction with its hardware complete the above method the step of.
Storage medium can be memory, such as can be volatile memory or nonvolatile memory, or may include
Both volatile and non-volatile memories.
Wherein, nonvolatile memory can be read-only memory (Read-Only Memory, abbreviation ROM), may be programmed
Read-only memory (Programmable ROM, abbreviation PROM), Erasable Programmable Read Only Memory EPROM (Erasable PROM, letter
Claim EPROM), electrically erasable programmable read-only memory (Electrically EPROM, abbreviation EEPROM) or flash memory.
Volatile memory can be random access memory (Random Access Memory, abbreviation RAM), be used as
External Cache.By exemplary but be not restricted explanation, the RAM of many forms is available, such as static random-access is deposited
Reservoir (Static RAM, abbreviation SRAM), dynamic random access memory (Dynamic RAM, abbreviation DRAM), synchronous dynamic with
Machine accesses memory (Synchronous DRAM, abbreviation SDRAM), double data speed synchronous dynamic RAM
(Double Data RateSDRAM, abbreviation DDRSDRAM), enhanced Synchronous Dynamic Random Access Memory (Enhanced
SDRAM, abbreviation ESDRAM), synchronized links dynamic random access memory (Synchlink DRAM, abbreviation SLDRAM) and directly
Rambus random access memory (DirectRambus RAM, abbreviation DRRAM).
The storage medium of description of the embodiment of the present invention is intended to include but is not limited to depositing for these and any other suitable type
Reservoir.
Those skilled in the art are it will be appreciated that in said one or multiple examples, function described in the invention
It can be realized with hardware with combination of software.When application software, corresponding function can be stored in computer-readable medium
In or as on computer-readable medium one or more instructions or code transmitted.Computer-readable medium includes meter
Calculation machine storage medium and communication media, wherein communication media includes convenient for transmitting computer journey from a place to another place
Any medium of sequence.Storage medium can be any usable medium that general or specialized computer can access.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
These modifications or improvements without departing from theon the basis of the spirit of the present invention are fallen within the scope of the claimed invention.
Claims (10)
1. a kind of city operations Synthetic Decision Method, which is characterized in that the described method includes:
It acquires and stores the historical data in multi-service source and the conduct basis data of incremental data；
Basic data is pre-processed, and by a variety of analysis mining tools, in conjunction with profession analysis model, carry out big data
Analysis mining finds the relationship between Various types of data；And
Data visualization presentation is carried out to the relationship between analysis result and Various types of data in a manner of immersion, is that city is comprehensive
Integrated decision-making, which provides, applies supporting；
Wherein, the real-time Computational frame of distributed big data provided by Spark Streaming, data acquisition, data
Pretreatment, data analysis mining calculate, analysis model calculates verifying.
2. city operations Synthetic Decision Method according to claim 1, which is characterized in that the basic data includes: logical
The business datum for crossing the acquisition of data adapter unit plug-in unit, the data acquisition of terminal that obtains by data standard access interface and pass through net
The internet data that network crawler obtains.
3. city operations Synthetic Decision Method according to claim 2, which is characterized in that the business datum includes: closing
It is type data, file and WebService/RESTful api interface data；The data acquisition of terminal includes: that each Internet of Things are whole
End data；The internet data includes: the network data from government website, news, forum and microblogging.
4. city operations Synthetic Decision Method according to claim 1, which is characterized in that by RESTful and
Two kinds of interfaces of WebService provide data service, the tool that the data visualization is presented for data visualization presentation
Including integrated JQuery demonstration tool, Echarts demonstration tool, BootStrap demonstration tool, Angular demonstration tool,
HTML5 demonstration tool and GIS demonstration tool.
5. city operations Synthetic Decision Method according to claim 1, which is characterized in that the answering using supporting
It include integrated dispatch service application tool, unified certification application tool, workflow application tool, search service application with tool
Tool, notice are served by tool and monitoring service application tool.
6. city operations Synthetic Decision Method according to claim 1, which is characterized in that carrying out the big data analysis
When excavation, the analysis model is constantly verified using machine learning, artificial intelligence mode, tuning, it is suitable to be formed
Analysis model；And by semantic analysis, log analysis many algorithms, support various mechanism data are analyzed and unstructured data
Data calculation processing.
7. city operations Synthetic Decision Method according to claim 1, which is characterized in that the analysis model includes:
Population analysis model, for by the analysis mining for including the theme that population portrait, personal credit and entrance are migrated
Data supporting is provided for the population policy formulation in city；
Legal person's analysis model, for being city tax by the analysis mining to the theme for including legal person's distribution, business standing distribution
It receives, industry helps decision to provide data supporting；
Social public opinion analysis model, for being at public sentiment by the analysis mining to the theme for including hot spot public sentiment, diffusion path
It the decisions such as sets and data supporting is provided；
Didactic analysis model, for the matching degree of analysis foundation educational resource and school-age children's basic data, and then Added Management
Person carries out basic planning construction；
Traffic analysis model, for analyze public transport management data, congested link and congestion reason so that be optimization public bus network, control
It is stifled that Auxiliary support is provided；
Environmentally friendly analysis model provides data branch including water quality, air quality, the basic data of noise for analyzing for pollution control
Support；
Comprehensive improvement administers analysis model, for passing through point to the theme for including the high-incidence analysis of event, geographical distribution and disposal efficiency
Analysis, which is excavated, provides data supporting for comprehensive treatment key object；And
Credit analysis model, for including sincere feature, stain distribution, come the basic data of source distribution by analysis, discovery is lost
Letter and faithful emphasis direction, and then data foundation is provided to formulate credit decision.
8. a kind of city operations synthetical decision system, which is characterized in that the system comprises:
Data source management module, number based on the historical data and incremental data for acquiring and storing multi-service source
According to；
Big data mining analysis module for pre-processing to basic data, and passes through a variety of analysis mining tools, in conjunction with special
The analysis model of industry carries out big data analysis excavation, finds the relationship between Various types of data；
Data service and application supporting module, for providing for the comprehensive integrated decision-making in city using supporting；With
And
Data show visualization model, can for carrying out data to the relationship between analysis result and Various types of data in a manner of immersion
It is presented depending on changing.
9. a kind of electronic equipment, which is characterized in that the electronic equipment includes: processor, memory；
The memory store code；
The processor executes the code, requires the described in any item city operations integrated decision-making sides 1-7 for perform claim
Method.
10. a kind of computer readable storage medium for storing program, which is characterized in that described program includes instruction, described instruction
When being computer-executed, the computer perform claim is made to require the described in any item city operations Synthetic Decision Methods of 1-7.
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