CN106970953B - Network construction management-control method and its platform based on big data analysis - Google Patents
Network construction management-control method and its platform based on big data analysis Download PDFInfo
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Abstract
The present invention relates to a kind of network construction management-control method and its platform based on big data analysis, by receiving the data information of user's input, according to the category attribute of data information by data information memory in the database of corresponding data-interface；The data analysis instructions sent by receiving data analysis processor, it wherein include data-interface mark, the data information in called interface is determined according to interface identifier, further according to preset algorithm, is generated statistical data and is stored in the corresponding data analysis processor for sending data analysis instructions；It further include receive capabilities assessment instruction, wherein including the mark of data analysis processor；According to the mark of data analysis processor, the statistical data called in data analysis processor, and generating functionality assessment result are determined.It realizes and the interaction of Various types of data information is called, make full use of data resource, based on the comprehensive utilization of multiple database resources, realize big data analysis, the accuracy of assurance function assessment result.
Description
Technical field
The present invention relates to technical field of data processing more particularly to a kind of network construction control sides based on big data analysis
Method and its platform.
Background technique
With the rapid progress of the communication technology, mobile communication experienced the quick update of 2G, 3G, 4G, synchronize with interconnection
The rapid development of net, so that the data volume of telecommunication carrier networks shows geometric growth.
Telecom operation quotient data would generally be related to market management data, telephone traffic and data traffic data, network O&M number
According to, network construction progress data, project control data, bidding data etc..Currently, telecom operators are to above-mentioned Various types of data base
This all establishes independent data supporting system and services for it, these data supporting systems are by respective specialized management dimension
System exploitation, database resource are relatively independent.This independent data management and data analyze system, are difficult to comply with big data and cloud
The developing steps in the high-speed data processing epoch combined are calculated, basic reason is the data between each data supporting system
There are compatibility issues for calling, therefore are difficult effectively to be associated with the data resource being dispersed in each data supporting system
Property utilize.For example, when needing in summary Various types of data progress network construction feasibility assessment, due to each data supporting system
The database resource of system is quite independent, so that the data type of the data stored in each database may be different, data volume
Amount may also be different, this allows for possibility between the associated data between each database and unmatches, and cause big in database
Amount data, which can not be utilized, to be assessed, and a large amount of valuable data resource wastes are caused；Secondly as the number of each database
According to independence, cause the relevance between data poor, easily causes the problems such as the result inaccuracy of analysis and assessment.Meanwhile for
Different data support system distinguishes Development Support software, and capital input is big, and easily causes redundancy exploitation and overlapping development, wastes people
Power material resources.
Summary of the invention
The present invention provides a kind of network construction management-control method and its platform based on big data analysis, for solving existing skill
The data supporting system of Various types of data is mutually indepedent in art, data resource mismatch, cause using each data supporting system into
Row data complicated degree of analysis is high, while analyzing the technical problem of result inaccuracy.
The present invention provides a kind of network construction management-control method based on big data analysis, comprising:
Receive the data information of user's input；
According to the category attribute of the data information, the data comprising the category attribute are sent by the data information
The storage of databases corresponding to interface；
The data analysis instructions that data analysis processor is sent are received, the data analysis instructions include data-interface mark
Know；
It is identified according to the data-interface, determines data-interface corresponding with data-interface mark, and described in calling
Data information in the corresponding database of data-interface；
Data processing is carried out to the data information called, and according to preset algorithm, generates statistical data；
Statistical data correspondence is stored in the data analysis processor for sending the data analysis instructions；
Receive capabilities assessment instruction, the functional assessment instruction include the mark of data analysis processor；
According to the mark of the data analysis processor, data corresponding with the mark of the data analysis processor are determined
Analysis processor calls corresponding statistical data, generating functionality assessment result in the data analysis processor.
The network construction control platform based on big data analysis that the present invention also provides a kind of, comprising:
Receiving module, for receiving the data information of user's input；
Memory module sends the data information to comprising described for the category attribute according to the data information
The storage of databases corresponding to the data-interface of category attribute；
The receiving module is also used to receive the data analysis instructions of data analysis processor transmission, the data analysis
Instruction includes data-interface mark；
Processing module determines that data corresponding with data-interface mark connect for identifying according to the data-interface
Mouthful, and call the data information in the corresponding database of the data-interface；Data processing is carried out to the data information called,
And according to preset algorithm, statistical data is generated；
The memory module is also used to for statistical data correspondence to be stored in the data for sending the data analysis instructions
In analysis processor；
The receiving module is also used to receive capabilities assessment instruction, and the functional assessment instruction includes data point
Analyse the mark of processor；
The processing module, is also used to the mark according to the data analysis processor, it is determining at the data analysis
The corresponding data analysis processor of mark for managing device, calls corresponding statistical data in the data analysis processor, generates
Functional assessment result.
The present invention provides network construction management-control methods and its platform based on big data analysis, by receiving user's input
Data information；According to the category attribute of data information, it is right that the institute of the data-interface comprising category attribute is sent by data information
The databases storage answered；The data analysis instructions that data analysis processor is sent are received, data analysis instructions include data
Interface identifier；It is identified according to data-interface, determines data-interface corresponding with data-interface mark, and call data-interface corresponding
Database in data information；Data processing is carried out to the data information called, and according to preset algorithm, generates statistical number
According to；It will be in the corresponding data analysis processor for being stored in transmission data analysis instructions of statistical data；Receive capabilities assessment instruction,
Functional assessment instruction includes the mark of data analysis processor；According to the mark of data analysis processor, determining and data
The corresponding data analysis processor of the mark of analysis processor calls corresponding statistical data in data analysis processor, raw
Functional assessment result.To realize that the interaction to Various types of data information is called, realization makes full use of data resource, based on more
The comprehensive utilization of a database resource realizes big data analysis, to guarantee and improve the accuracy of functional assessment result.
Detailed description of the invention
Fig. 1 is that the present invention is based on the flow charts of an exemplary embodiment of the network construction management-control method of big data analysis；
Fig. 2 is the system architecture schematic diagram for executing the network construction management-control method the present invention is based on big data analysis；
Fig. 3 is the sub- configuration diagram of system shown in Figure 2 framework；
Fig. 4 is the sub- configuration diagram of framework shown in Fig. 3；
Fig. 5 is an interface schematic diagram of framework shown in Fig. 4；
Fig. 6 is an interface schematic diagram of framework shown in Fig. 4；
Fig. 7 is an interface schematic diagram of framework shown in Fig. 4；
Fig. 8 is that the present invention is based on the structural representations of an exemplary embodiment of the network construction control platform of big data analysis
Figure.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Firstly, the basic conception of network construction control is introduced, under prior art conditions, usual telecom operators
Network construction management also rely on the circulation of electronic work order, rely primarily on Project Manager, designer, construction personnel, prison
Reason personnel carry out making a report on by hand on WorkForm System, project manager according to previous strategy by rule of thumb to service provider carry out examination with
Evaluation, can not quality to engineering and construction speed quantified and optimized, can not also be transported according to market development data and network
Row data make network Rolling Planning fast and accurately, and carry out the measuring and calculating of investment boundary, are finally completed Investment Allocation.
The so-called network construction control based on big data analysis, refers to and builds big data analysis platform by application network,
It instructs to complete network Rolling Planning at network construction initial stage, completes to manage the intelligence of construction progress in network construction mid-term
Control, and quantitatively complete in the network construction later period examination and assessment that construction project and service provider are built to net.Therefore, this is based on
It is slow and quasi- can to efficiently solve current network early construction Rolling Planning progress for the network construction management-control method of big data analysis
The not high problem of true property, network construction mid-term construction speed manage problem and network construction later period not in place to construction item
The problem of mesh, service provider's examination can not quantify with assessment.
With the development of big data technology, benefit is carried out to the data resource in the data supporting system dispersed in operator's hand
With these huge real-time or historical datas combinations, to play the value bigger than data itself, by Various types of data
Network construction management-control method is introduced in support system, is got through the original technology barrier of these data systems, is vitalized data assets, it is excellent
Change legacy data storage organization, flow chart of data processing, data analysis mode, data service capabilities, excavated by big data and divides
Analysis, while the idea in management of injection network construction realize to the accurately overall process intelligently control of network construction process, guarantee to build
If efficiency and quality, feasible means are provided for network construction maximizing the benefits.
Fig. 1 be the present invention is based on the flow chart of an exemplary embodiment of the network construction management-control method of big data analysis,
As shown in Figure 1, the network construction management-control method of the present embodiment specifically includes:
Step 101, the data information for receiving user's input.
Data information is sent the data-interface comprising category attribute by step 102, the category attribute according to data information
Corresponding databases storage.
Network construction management-control method is based on the method for big data processing, and data source, which can be, passes through electronics by user
Terminal device, such as mobile phone, computer, the continuous typing acquisition of PAD carry out.The different data informations of user institute typing have not
Same category attribute, category attribute can log in the system property of different input systems (application APP etc.) not by user
With distinguishing, the data of typing can also be carried out according to the primitive rule of data base administration, under the control of background program
Classification, so that the data information of typing, which can be sent to, carries out number corresponding to the data-interface of classification differentiation with category attribute
It is stored respectively according in library.
Step 103 receives the data analysis instructions that data analysis processor is sent, and data analysis instructions include that data connect
Mouth mark.
Different according to the category attribute of data information, purpose, the target of the data of being carried out analysis are different, carry out data point
The processor of analysis can also have one or more, because being to carry out big data analysis,, will according to the difference of analysis target
Big data be dispersed in different data analysis processors handled respectively can effectively improve data analysis rate, improve point
The accuracy of analysis.Each data analysis processor needs to indicate called data when calling the data information needed for it
Database, the database indicate by data analysis instructions include data-interface identify, then system is according to the data
Interface identifier can find the database of corresponding storing data information.
Step 104 is identified according to data-interface, determines data-interface corresponding with data-interface mark, and call data
Data information in the corresponding database of interface.
Step 105 carries out data processing to the data information called, and according to preset algorithm, generates statistical data.
Step 106 corresponds to statistical data in the data analysis processor for being stored in and sending data analysis instructions.
Step 107, receive capabilities assessment instruction, functional assessment instruction include the mark of data analysis processor.
Step 108, the mark according to data analysis processor determine data corresponding with the mark of data analysis processor
Analysis processor calls corresponding statistical data, generating functionality assessment result in data analysis processor.
The network construction management-control method based on big data analysis of the present embodiment, the data by receiving user's input are believed
Breath；According to the category attribute of data information, data corresponding to the data-interface comprising category attribute are sent by data information
It is stored in library；The data analysis instructions that data analysis processor is sent are received, data analysis instructions include data-interface mark；
It is identified according to data-interface, determines data-interface corresponding with data-interface mark, and call the corresponding database of data-interface
Interior data information；Data processing is carried out to the data information called, and according to preset algorithm, generates statistical data；It will system
It counts in the corresponding data analysis processor for being stored in and sending data analysis instructions；Receive capabilities assessment instruction, it is functional
Assessment instruction includes the mark of data analysis processor；According to the mark of data analysis processor, it is determining at data analysis
The corresponding data analysis processor of mark for managing device, calls corresponding statistical data, systematic function in data analysis processor
Property assessment result.To realize that the interaction to Various types of data information is called, realization makes full use of data resource, is based on multiple data
The comprehensive utilization of base resource realizes big data analysis, to guarantee and improve the accuracy of functional assessment result.
Further, it on the basis of a upper embodiment, for step 102, according to the category attribute of data information, will count
It is believed that breath is sent to the storage of databases corresponding to the data-interface comprising category attribute.Data-interface therein can be at least
Including one of following each interface: Project Management Data interface, operation/maintenance data interface, is recruited and is thrown at network construction data-interface
Mark data-interface, marketing data-interface.
For the data analysis instructions that step 103, reception data analysis processor are sent, data analysis instructions include number
According to interface identifier.Data analysis processor therein can include at least one of following each processor: network operation class
Data analysis processor, construction efficiency class data analysis processor, market efficiency class data analysis processor, service provider examine class
Data analysis processor.
According to the difference of the classification of data analysis processor, which can be refined as following various embodiments:
If mode one, data analysis processor are network operation class data analysis processor, network operation class number is received
According to the network operation class data analysis instructions that analysis processor is sent, which includes O&M number
According to the mark of interface.
Correspondingly, identifying for step 104, according to data-interface, data-interface corresponding with data-interface mark is determined,
And call data information in the corresponding database of data-interface, specifically include: according to the mark of operation/maintenance data interface, determine with
The corresponding operation/maintenance data interface of the mark of operation/maintenance data interface, and the data in the corresponding database of operation/maintenance data interface is called to believe
Breath；Wherein, the data information in the corresponding database of operation/maintenance data interface includes at least at least one of following data information:
Network resource usage data, connect situation data, traffic data, data traffic data, network coverage number at fault condition data
According to, Network resource allocation data, resource inspection data.
Correspondingly, for step 105, carrying out data processing to the data information called, and according to preset algorithm, generate
Statistical data specifically includes: carrying out storage organization processing to the data information called, and according to preset algorithm, generates statistics
Data；Wherein, statistical data includes at least following at least one: resource utilization, failure rate, percent of call completed, coverage rate.
Correspondingly, being stored in the Data Analysis Services of transmission data analysis instructions for step 106, by statistical data correspondence
It in device, specifically includes: by the corresponding network operation class data for being stored in transmission network operation class data analysis instructions of statistical data
In analysis processor.
If mode two, data analysis instructions are construction efficiency class data analysis processor, construction efficiency class data are received
The construction efficiency class data analysis instructions that analysis processor is sent, which includes project management
Mark, the mark of network construction data-interface of data-interface.
Correspondingly, identifying for step 104, according to data-interface, data-interface corresponding with data-interface mark is determined,
And data information in the corresponding database of data-interface is called, it specifically includes: according to the mark of Project Management Data interface, really
Fixed Project Management Data interface corresponding with the mark of Project Management Data interface, and call Project Management Data interface corresponding
Data information in database；According to the mark of network construction data-interface, the determining mark pair with network construction data-interface
The network construction data-interface answered, and call the data information in the corresponding database of network construction data-interface；Wherein, project
The data information managed in the corresponding database of data-interface includes at least at least one of following data information: item attribute
Data, project implementation data；Data information in the corresponding database of network construction data-interface is believed including at least following data
At least one of breath: engineering progress data, network status data, planning execute performance data, network coverage data, net
Network framework data.
Correspondingly, for step 105, carrying out data processing to the data information called, and according to preset algorithm, generate
Statistical data specifically includes: carrying out storage organization processing to the data information called, and according to preset algorithm, generates statistics
Data；Wherein, statistical data includes at least following at least one: Engineering average response time the construction period, takes up rate, networks
Rate, delivery rate, branch scape performance analysis, unit price analysis.
Correspondingly, being stored in the Data Analysis Services of transmission data analysis instructions for step 106, by statistical data correspondence
It in device, specifically includes: by the corresponding construction efficiency class data for being stored in transmission construction efficiency class data analysis instructions of statistical data
In analysis processor.
If mode three, data analysis instructions are market efficiency class data analysis processor, market efficiency class data are received
The market efficiency class data analysis instructions that analysis processor is sent, which includes the marketing
The mark of data-interface.
Correspondingly, identifying for step 104, according to data-interface, data-interface corresponding with data-interface mark is determined,
And data information in the corresponding database of data-interface is called, it specifically includes: according to the mark of marketing data-interface, really
Fixed marketing data-interface corresponding with the mark of marketing data-interface, and call marketing data-interface corresponding
Data information in database；Wherein, the data information in the corresponding database of marketing data-interface includes at least following
At least one of data information: 2G service revenue data, 3G service revenue data, 4G service revenue data, userbase number
According to, mobile data and information service income data, fixed network services income data, network element is hired out and data communication income data, width
Band Internet service is taken in.
Correspondingly, for step 105, carrying out data processing to the data information called, and according to preset algorithm, generate
Statistical data specifically includes: carrying out storage organization processing to the data information called, and according to preset algorithm, generates statistics
Data；Wherein, statistical data include at least following at least one: port account in fact rate, income statistics data, 2G enter an item of expenditure in the accounts number of users and
Accounting rate, 3G enter an item of expenditure in the accounts number of users and accounting rate, 4G enter an item of expenditure in the accounts number of users and accounting rate, IPTV number of users and distribution, user distribution, mutually
Networking individual line subscriber number and distribution, number of users growth trend data.
Correspondingly, being stored in the Data Analysis Services of transmission data analysis instructions for step 106, by statistical data correspondence
It in device, specifically includes: by the corresponding market efficiency class data for being stored in transmission market efficiency class data analysis instructions of statistical data
In analysis processor.
If mode four, data analysis instructions are that service provider examines class data analysis processor, service provider's examination class is received
The service provider that data analysis processor is sent examines class data analysis instructions, and service provider examination class data analysis instructions include
The mark of bidding data-interface.
Correspondingly, identifying for step 104, according to data-interface, data-interface corresponding with data-interface mark is determined,
And data information in the corresponding database of data-interface is called, it specifically includes: according to the mark of bidding data-interface, determining
Bidding data-interface corresponding with the mark of bidding data-interface, and call in the corresponding database of bidding data-interface
Data information；Wherein, the data information in the corresponding database of bidding data-interface includes at least in following data information
At least one: purchase of goods and materials arrival data, bid share execute ratio data, service provider's score data, rewards and punishments data；
Correspondingly, for step 105, carrying out data processing to the data information called, and according to preset algorithm, generate
Statistical data specifically includes: carrying out storage organization processing to the data information called, and according to preset algorithm, generates statistics
Data；Wherein, statistical data includes at least following at least one: service provider examines fractional data, service provider's precedence data.
Correspondingly, being stored in the Data Analysis Services of transmission data analysis instructions for step 106, by statistical data correspondence
It in device, specifically includes: the corresponding service provider for being stored in transmission service provider examination class data analysis instructions of statistical data is examined into class
In data analysis processor.
Similarly, for step 107, receive capabilities assessment instruction, functional assessment instruction includes Data Analysis Services
The mark of device.Wherein, functional assessment instruction can include at least one in following each instruction: returns of investment recruitment evaluation
Instruction instructs mark attributive character parameter instruction, bid invitation risk prediction, examination instruction, network construction decision instruction.
According to the difference that functional assessment instructs, which can be refined as following various embodiments:
If the instruction of mode one, functional assessment is that returns of investment recruitment evaluation instructs, returns of investment recruitment evaluation is received
Instruction, returns of investment recruitment evaluation instruction include mark, the market efficiency class number of network operation class data analysis processor
According to the mark of analysis processor, the mark of construction efficiency class data analysis processor.
Correspondingly, for step 108, according to the mark of data analysis processor, the determining mark with data analysis processor
Know corresponding data analysis processor, corresponding statistical data, generating functionality assessment knot are called in data analysis processor
Fruit specifically includes: according to the mark of network operation class data analysis processor, the mark of market efficiency class data analysis processor
Know, the mark of construction efficiency class data analysis processor, respectively in network operation class data analysis processor, market efficiency class number
According to corresponding statistical data is called in analysis processor, construction efficiency class data analysis processor, construction scale and income are generated
The returns of investment recruitment evaluation knot of network construction project is calculated according to construction scale and Profit Assessment model in assessment models
Fruit.
If the instruction of mode two, functional assessment is, to mark attributive character parameter instruction, reception is to mark attributive character parameter
Instruction, this includes the mark of network operation class data analysis processor, construction efficiency class number to mark attributive character parameter instruction
According to the mark of analysis processor.
Correspondingly, for step 108, according to the mark of data analysis processor, the determining mark with data analysis processor
Know corresponding data analysis processor, corresponding statistical data, generating functionality assessment knot are called in data analysis processor
Fruit specifically includes: according to the mark of network operation class data analysis processor, the mark of construction efficiency class data analysis processor
Know, calls corresponding statistical number in network operation class data analysis processor, construction efficiency class data analysis processor respectively
According to according to the dynamic change that collects of statistical data, generation obtains to mark result the characteristic parameter of mark attribute.
If the instruction of mode three, functional assessment is bid invitation risk prediction instruction, bid invitation risk prediction instruction, the trick are received
Mark risk profile instruction includes the mark of construction efficiency class data analysis processor, service provider's examination class data analysis processor
Mark.
Correspondingly, for step 108, according to the mark of data analysis processor, the determining mark with data analysis processor
Know corresponding data analysis processor, corresponding statistical data, generating functionality assessment knot are called in data analysis processor
Fruit specifically includes: according to the mark of construction efficiency class data analysis processor, the mark of service provider's examination class data analysis processor
Know, calls corresponding statistics in construction efficiency class data analysis processor, service provider's examination class data analysis processor respectively
Data, by the statistical data progress in construction efficiency class data analysis processor and service provider's examination class data analysis processor
Match, bid invitation risk point is predicted according to matching result.
If the instruction of mode four, functional assessment is examination instruction, examination instruction is received, examination instruction includes network
Run the mark of class data analysis processor, the mark of construction efficiency class data analysis processor, the analysis of market efficiency class data
Mark, the mark of service provider's examination class data analysis processor of processor.
Correspondingly, for step 108, according to the mark of data analysis processor, the determining mark with data analysis processor
Know corresponding data analysis processor, corresponding statistical data, generating functionality assessment knot are called in data analysis processor
Fruit specifically includes: according to the mark of network operation class data analysis processor, the mark of construction efficiency class data analysis processor
Knowledge, the mark of market efficiency class data analysis processor, the mark of service provider's examination class data analysis processor, respectively in network
Run class data analysis processor, construction efficiency class data analysis processor, market efficiency class data analysis processor, service provider
It examines and calls corresponding statistical data in class data analysis processor, according to default examination algorithm, at least one performance assessment criteria
It is evaluated, performance assessment criteria is at least one of following index: construction quality, Project Benefit, service satisfaction.
If the instruction of mode five, functional assessment is network construction decision instruction, network construction decision instruction is received, the net
It includes the mark of network operation class data analysis processor, construction efficiency class data analysis processor that network, which builds decision instruction,
Mark, the mark of market efficiency class data analysis processor, the mark of service provider's examination class data analysis processor.
Correspondingly, for step 108, according to the mark of data analysis processor, the determining mark with data analysis processor
Know corresponding data analysis processor, corresponding statistical data, generating functionality assessment knot are called in data analysis processor
Fruit specifically includes: according to the mark of network operation class data analysis processor, the mark of construction efficiency class data analysis processor
Knowledge, the mark of market efficiency class data analysis processor, the mark of service provider's examination class data analysis processor, respectively in network
Run class data analysis processor, construction efficiency class data analysis processor, market efficiency class data analysis processor, service provider
Corresponding statistical data is called to determine network construction according to default big data analysis algorithm in examination class data analysis processor
Decision parameters.
Each data-interface, each data analysis processor, and the execution that each functional assessment is instructed are integrated below
Main body rely on send instruction each functional assessment system, to the network construction management-control method based on big data analysis into
Row is described in detail, and Fig. 2 is the system architecture schematic diagram for executing the network construction management-control method the present invention is based on big data analysis.Such as
Shown in Fig. 2, the system architecture for executing this method may include: Project Management Data interface 11, network construction data-interface 12, fortune
Dimension data interface 13, bidding data-interface 14, marketing data-interface 15, network operation class data analysis processor 21,
Construction efficiency class data analysis processor 22, market efficiency class data analysis processor 23, service provider examine at the analysis of class data
Manage device 24, returns of investment recruitment evaluation system 31, to mark attributive character parameter system 32, bid invitation risk forecasting system 33, examination
System 34, network construction decision system 35.
It should be noted that above interface, processor, system etc. can be hardware entities, to accelerate to big data
Processing speed, or integrated treatment conveniently is carried out to the decentralized data of diverse geographic location；It is also possible to software class (such as APP)
Functional module；Those skilled in the art can be according to the actual demands sets itself such as data volume and data area distribution.
Wherein, Project Management Data interface 11 obtains each stage letter of project for the database of interlocking item management system
Breath statistics (comprising project verification person liable, project verification department, project verification reply investment, the project verification reply time, purchases mark, feasibility study/design batch
The multiple time, feasibility study/designing unit, feasibility study/designer, construction unit, go into operation/completion date, delivery/arrival time, order
The amount of money, the final acceptance inspection time, inspection unit, the final accounts time, investment performance, turns money situation, Audit Report code at the initial test time
Deng), investment performance, project implementation situation, CAPEX performance, turn solid performance etc..
Network construction data-interface 12, for connecting the database of network construction management system, obtain project progress statistics,
Network presence, planning execute performance, coverage effect, network new capacity, the network architecture, divide model of place etc..
Operation/maintenance data interface 13, for connecting network optimization platform, electronic operation and maintenance system, resource scheduling system, monitoring point
The database of analysis system, business operation system, building information system etc. obtains network resource usage situation, fault condition, connection
Situation, network coverage situation, Network resource allocation situation, resource inspection situation, hands over money at portfolio (telephone traffic, data traffic)
Hand over dimension situation etc..
Bidding data-interface 14, for connecting the database of e-bidding system, obtain purchase of goods and materials arrival situation,
Bid share executes ratio performance, the monthly marking situation of service provider, each ranking of subject situation, service provider's promise and fulfils feelings
Condition, escape mechanism and punishment situation of honouring an agreement, administrative staff's scoring report timely situation etc..
Marketing data-interface 15 is obtained for connecting the database for unifying operation platform etc. through subsystem and grid
2/3/4G main business income and userbase, mobile data and information service income, fixed network main business income, network element are hired out
And data communication income, ICT health service revenue, broadband internet health service revenue etc..
By operation/maintenance data interface 13 obtain network operation Various types of data, as network resource usage situation, fault condition,
Connect situation, portfolio (telephone traffic, data traffic), network coverage situation, Network resource allocation situation, resource inspection situation,
Money is handed over to hand over dimension situation etc., it can be by network operation class data analysis processor 21 of the invention to the multiple operation platforms got
Data carry out the optimization of storage organization, inject the big data intelligently managed based on network construction and excavate and analyze, existing according to network
Shape generates resource utilization, failure rate, percent of call completed, coverage rate, hands over tariff, hands over the information such as dimension rate.
Each session information of project, network are being obtained by Project Management Data interface 11 and network construction data-interface 12
It, can be by construction efficiency class Data Analysis Services of the invention after the basic information of the big data analysis such as construct effects of biology and ability
Device 22 carries out the optimization of storage organization, subdivided data process, by two dimension statistical items of project and task to the data got
Mesh details, progress chasing, service bid, procurement request, order arrival, coordination is marched into the arena, sign-out, engineering construction of registering, safety are examined
It looks into, final acceptance of construction, service the data such as marking, carry out construction project efficiency analysis, generate average response duration, the construction week of engineering
Phase, take up rate, networking rate, CAPEX completion rate, delivery rate, branch scape performance analysis, unit price analysis etc. data.
2G/3G/4G main business income and userbase, mobile data are being obtained by marketing data-interface 15
With information service income, the taxi of fixed network main business income, network element and data communication income, ICT health service revenue, broadband internet
Health service revenue etc. can be by market efficiency class data of the invention in conjunction with the user distribution information that operation/maintenance data interface 13 obtains
Analysis processor 23 carries out the optimization of storage organization to the data that get, subdivided data process flow, generate port account in fact rate,
Income class critical data, 2G/3G/4G enter an item of expenditure in the accounts number of users and accounting rate, IPTV number of users and distribution, user APRU distribution, interconnection
Net individual line subscriber number and distribution, number of users growth trend, Market Forecast Analysis etc..
By bidding data-interface 14 obtain purchase of goods and materials arrival situation, bid share execute ratio performance,
The service provider's moon/season/year marking situation, each ranking of subject situation, service provider promise to undertake degree of performance, escape mechanism and punishment of honouring an agreement
Situation, administrative staff scoring reports timely situation etc., open/complete in conjunction with the service provider obtained from Project Management Data interface 11 and
When situation, the timely situation of arrival, situation of registering etc., can examine class data analysis processor 24 to obtaining by service provider of the invention
The data got carry out the optimization of storage organization, inject big data analysis and idea in management, generate service provider from multiple dimensions
Score is examined, then ranking is carried out to service provider according to scores, ultimately forms kernel service quotient's list of each profession.
It is possible to further dock the analysis of network operation class data by returns of investment recruitment evaluation system 31 of the invention
Processor 21, construction efficiency class data analysis processor 22 and market efficiency class data analysis processor 23 generate construction scale
With income the multidimensional evaluation model, to the progress of network construction project, objectively returns of investment and effect are assessed.
Further, as shown in figure 3, may include preceding evaluation module 31A for returns of investment recruitment evaluation system 31
With rear evaluation module 31B, wherein before evaluation module 31A comprehensive assessment of economic benefit, shape can be carried out to project before project verification
At the whether feasible preceding assessment result of project；Afterwards evaluation module 31B be project formed production capacity or operation a period of time after,
By being analyzed the effect of the planning of investment in fixed assets, decision, implementation, production run and its generation, influence etc., being evaluated
And summary, it is compared with investment planning with the target and each economic target determined when project decision, knot is evaluated after formation
Fruit.
More specifically, as shown in figure 4, preceding evaluation module 31A may include: reasonability judging submodule 31A1 again, it is
Respectively newly-built, dilatation, the network construction project to renovate model index factor system, such as investment port comprehensive cost, covers
Building occupancy rate, investment payback time, port account for rate, broadband ports permeability etc. in fact, and setting meets the reasonable interval of project initiation.
Showing surface chart in fact can be with reference to shown in Fig. 5；Give a mark sorting sub-module 31A2, is wanted according to the model index of network construction project
Then the weight of element, respectively newly-built, dilatation, the network construction item setup score value to renovate are used and calculate the total of project
Score carries out marking sequence.Showing surface chart in fact can be with reference to shown in Fig. 6；Branch scape cost submodule 31A3 is for difference
Scene, such as open residential quarters, commercial office building area, colleges and universities, hospital, subway, transport hub scene, according to target port
City accounts for the factors such as rate, broadband user's cost of access flat cost, port cost, difficulty of construction, expense of marching into the arena and formulates different costs
Model.Showing surface chart in fact can be with reference to shown in Fig. 7.
It is possible to further which by of the invention, to mark attributive character parameter system 32, docking network operation class data are analyzed
Processor 21 and construction efficiency class data analysis processor 22 become according to the dynamic that each phase data of affiliated processor collects
Change situation, excavate and generate with to mark attribute characteristic parameter, generate each stage to mark result.Specifically, to mark attribute
Characteristic parameter system 32 is divided for following three parts: 1) dividing monthly, annual construction performance to mark；2) divide monthly, annual
Network capabilities is to mark；3) with the network index of competitor to mark.Wherein, competitor's network index is to all operators to calibration method
The network of (movement, connection and telecommunications) carries out indiscriminate seine test, the network electricity generated according to sampled point in test process
The parameters such as gentle quality, generate the whole network signal to mark evaluation result.
It is possible to further dock construction efficiency class Data Analysis Services by bid invitation risk forecasting system 33 of the invention
Device 22 and service provider examine class data analysis processor 24, by service provider's examination data and the progress of network construction links
Match, and is predicted according to the risk prevention point that matching result is likely to occur next round bid, while establishing kernel service quotient.
Establish kernel service trade mark standard be using natural season as the period, quarterly review marks sequencing preceding 30% and score be not less than 90 points
Service provider enter kernel service factor sequence, kernel service quotient is divided into A, B, C three grades according to the length of time for entering sequence.
It is possible to further dock network operation class data analysis processor 21, construction by checking system 34 of the invention
Efficiency class data analysis processor 22, market efficiency class data analysis processor 23, service provider examine class data analysis processor
24, in terms of construction quality control, Project Benefit, service satisfaction three, examine the effect of internal control and service provider's management.
Specifically, which can be divided into two parts: 1) internal submodule of giving a mark: by preceding assessment with rear evaluation, to mark
As a result own personnel are examined and is evaluated；Examination pipe is carried out to project management department by project verification progress, capital expenditures progress etc.
Reason；2) external submodule of giving a mark: by the monthly examination marking of service provider, promise is honoured an agreement, share executes performance and examined
Management.
It is possible to further dock network operation class Data Analysis Services by network construction decision system 35 of the invention
Device 21, construction efficiency class data analysis processor 22, market efficiency class data analysis processor 23, service provider's examination class data point
Processor 24 is analysed, result is excavated and analyzed using big data as foundation, instructs network construction, plans as a whole the inside and outside portion's management of guide company
Decision and investment decision.Specifically, year investment boundary calculation method can be in investment decision are as follows:
1. EBITDA adjusts=the n-th year EBITDA × EBITDA coefficient of investment
Tax interest passbook is old and profit EBITDA before amortizing (Earnings Before Interest, Taxes,
Depreciation and Amortization, referred to as " EBITDA "), i.e., no interest, tax item, depreciation and amortization before benefit
Profit.
Increase income configuration investment=(1 year main business income-the (n-1) every year main business income) × income increase
Coefficient；②
By formula 1.+formula is 2. available:
Benefit motivates investment=EBITDA adjusting is invested+to increase income configuration investment 3.
Grouping improvement requires investment after configuration investment=the n-th year year main business income × improvement to account for receipts ratio 4.
Wherein, investment accounts for receipts ratio=rival's investment and accounts for receipts ratio × (1- grouping investment accounts for receipts than improving coefficient) after improvement
⑤
Final formula 3.+formula 4.: investment boundary=grouping improves requires configuration investment+benefit excitation investment
The present embodiment passes through Project Management Data interface, network construction data-interface, operation/maintenance data interface, bidding data
Interface, marketing data-interface, network operation class data analysis processor, construction efficiency class data analysis processor, market
Benefit class data analysis processor, service provider examine class data analysis processor, returns of investment recruitment evaluation system, to mark attribute
Characteristic parameter system, bid invitation risk forecasting system, checking system, network construction decision system, mention from the front end interface of operator
The information such as market management index, bidding situation, telephone traffic and data traffic tendency are taken, and extracts network from back end interface and builds
If the information such as construction speed and quality, network O&M index, project management, carries out big data and excavate and analyze, got through operation
The original technology barrier of quotient front end marketing interface and rear end construction maintenance interface, based on region and movement of population information, from
Big data analysis level excavates the connection relationship of the two, realizes that carrying out accurately overall process to network construction intelligently manages, guarantee
Construction efficiency and quality, and decision references are provided for network construction maximizing the benefits.
Fig. 8 is that the present invention is based on the structural representations of an exemplary embodiment of the network construction control platform of big data analysis
Figure, as shown in figure 8, the network construction control platform of the present embodiment specifically includes: receiving module 1, for receiving user's input
Data information；Memory module 2 sends data information to comprising category attribute for the category attribute according to data information
The storage of databases corresponding to data-interface；Receiving module 1 is also used to receive the data analysis of data analysis processor transmission
Instruction, data analysis instructions include data-interface mark；Processing module 3, for being identified according to data-interface, determining and data
The corresponding data-interface of interface identifier, and call the data information in the corresponding database of data-interface；To the data called
Information carries out data processing, and according to preset algorithm, generates statistical data；Memory module 2 is also used to deposit statistical data correspondence
It stores up in the data analysis processor for sending data analysis instructions；Receiving module 1 is also used to receive capabilities assessment instruction, function
Energy property assessment instruction includes the mark of data analysis processor；Processing module 3 is also used to the mark according to data analysis processor
Know, determine data analysis processor corresponding with the mark of data analysis processor, calls and correspond in data analysis processor
Statistical data, generating functionality assessment result.
Further, on the basis of a upper embodiment, data-interface includes at least one of following each interface: item
Mesh manages data-interface, network construction data-interface, operation/maintenance data interface, bidding data-interface, marketing data-interface；
Data analysis processor includes at least one of following each processor: network operation class data analysis processor, construction effect
Rate class data analysis processor, market efficiency class data analysis processor, service provider examine class data analysis processor；
If data analysis processor is network operation class data analysis processor, receiving module 1 is specifically used for receiving net
Network runs the network operation class data analysis instructions that class data analysis processor is sent, and network operation class data analysis instructions include
There is the mark of operation/maintenance data interface.Correspondingly, processing module 3 is determined and is transported specifically for the mark according to operation/maintenance data interface
The corresponding operation/maintenance data interface of the mark of dimension data interface, and the data in the corresponding database of operation/maintenance data interface is called to believe
Breath；Wherein, the data information in the corresponding database of operation/maintenance data interface includes at least at least one of following data information:
Network resource usage data, connect situation data, traffic data, data traffic data, network coverage number at fault condition data
According to, Network resource allocation data, resource inspection data；Storage organization processing is carried out to the data information called, and according to pre-
Imputation method generates statistical data；Wherein, statistical data includes at least following at least one: resource utilization, failure rate, connection
Rate, coverage rate.
If data analysis instructions are construction efficiency class data analysis processor, receiving module 1 is specifically used for receiving construction
The construction efficiency class data analysis instructions that efficiency class data analysis processor is sent, construction efficiency class data analysis instructions include
Mark, the mark of network construction data-interface of Project Management Data interface.Correspondingly, processing module 3, is specifically used for according to item
Mesh manages the mark of data-interface, determines Project Management Data interface corresponding with the mark of Project Management Data interface, and adjust
With the data information in the corresponding database of Project Management Data interface；According to the mark of network construction data-interface, determine with
The corresponding network construction data-interface of the mark of network construction data-interface, and call the corresponding data of network construction data-interface
Data information in library；Wherein, the data information in the corresponding database of Project Management Data interface includes at least following data
At least one of information: item attribute data, project implementation data；Number in the corresponding database of network construction data-interface
It is believed that breath includes at least at least one of following data information: engineering progress data, network status data, planning execute completion
Situation data, network coverage data, network architecture data；Data information progress storage organization processing to being called, and according to
Preset algorithm generates statistical data；Wherein, statistical data includes at least following at least one: Engineering average response time, construction
Period takes up rate, networking rate, delivery rate, branch scape performance analysis, unit price analysis.
If data analysis instructions are market efficiency class data analysis processor, receiving module 1 is specifically used for receiving market
The market efficiency class data analysis instructions that benefit class data analysis processor is sent, market efficiency class data analysis instructions include
The mark of marketing data-interface.Correspondingly, processing module 3, specifically for the mark according to marketing data-interface, really
Fixed marketing data-interface corresponding with the mark of marketing data-interface, and call marketing data-interface corresponding
Data information in database；Wherein, the data information in the corresponding database of marketing data-interface includes at least following
At least one of data information: 2G service revenue data, 3G service revenue data, 4G service revenue data, userbase number
According to, mobile data and information service income data, fixed network services income data, network element is hired out and data communication income data, width
Band Internet service is taken in；Storage organization processing is carried out to the data information called, and according to preset algorithm, generates statistical number
According to；Wherein, statistical data includes at least following at least one: port accounts for rate, income statistics data, 2G in fact enters an item of expenditure in the accounts and number of users and accounts for
Ratio, 3G enter an item of expenditure in the accounts number of users and accounting rate, 4G enter an item of expenditure in the accounts number of users and accounting rate, IPTV number of users and distribution, user distribution, interconnection
Net individual line subscriber number and distribution, number of users growth trend data.
If data analysis instructions are that service provider examines class data analysis processor, receiving module 1 is specifically used for receiving clothes
The service provider that business quotient examines class data analysis processor to send examines class data analysis instructions, and service provider's examination class data, which are analyzed, to be referred to
Order includes the mark of bidding data-interface.Correspondingly, processing module 3, specifically for the mark according to bidding data-interface
Know, determines bidding data-interface corresponding with the mark of bidding data-interface, and call bidding data-interface corresponding
Data information in database；Wherein, the data information in the corresponding database of bidding data-interface includes at least following number
It is believed that at least one of breath: purchase of goods and materials arrival data, bid share execute ratio data, service provider's score data, rewards and punishments
Data；Storage organization processing is carried out to the data information called, and according to preset algorithm, generates statistical data；Wherein, it counts
Data include at least following at least one: service provider examines fractional data, service provider's precedence data.
The device of the present embodiment can be used for executing the technical solution of embodiment of the method shown in FIG. 1, realization principle and skill
Art effect is similar, and details are not described herein again.
Further, functional assessment instruction includes at least one in following each instruction: returns of investment recruitment evaluation
Instruction instructs mark attributive character parameter instruction, bid invitation risk prediction, examination instruction, network construction decision instruction.
If functional assessment instruction is that returns of investment recruitment evaluation instructs, receiving module 1, it is specifically used for receiving investment effect
Beneficial recruitment evaluation instruction, the instruction of returns of investment recruitment evaluation include mark, the market of network operation class data analysis processor
Mark, the mark of construction efficiency class data analysis processor of benefit class data analysis processor.Correspondingly, processing module 3, tool
Body is used for according to the mark of network operation class data analysis processor, the mark of market efficiency class data analysis processor, construction
The mark of efficiency class data analysis processor is analyzed in network operation class data analysis processor, market efficiency class data respectively
Corresponding statistical data is called in processor, construction efficiency class data analysis processor, generates construction scale and Profit Assessment mould
The returns of investment recruitment evaluation result of network construction project is calculated according to construction scale and Profit Assessment model in type.
If functional assessment instruction is, to mark attributive character parameter instruction, receiving module 1 is specifically used for reception and belongs to mark
Property characteristic parameter instruction, to mark attributive character parameter instruction include network operation class data analysis processor mark, construction
The mark of efficiency class data analysis processor.Correspondingly, processing module 3, is specifically used at according to network operation class data analysis
Mark, the mark of construction efficiency class data analysis processor of device are managed, respectively in network operation class data analysis processor, construction
Corresponding statistical data is called in efficiency class data analysis processor, according to the dynamic change that collects of statistical data, is generated to mark
The characteristic parameter of attribute is obtained to mark result；
If functional assessment instruction is bid invitation risk prediction instruction, receiving module 1 is pre- specifically for receiving bid invitation risk
Instruction is surveyed, bid invitation risk prediction instruction includes the mark of construction efficiency class data analysis processor, service provider's examination class data
The mark of analysis processor.Correspondingly, processing module 3, specifically for according to the mark of construction efficiency class data analysis processor,
Service provider examines the mark of class data analysis processor, examines class in construction efficiency class data analysis processor, service provider respectively
Corresponding statistical data is called in data analysis processor, and construction efficiency class data analysis processor and service provider are examined into class number
It is matched according to the statistical data in analysis processor, bid invitation risk point is predicted according to matching result.
If functional assessment instruction is examination instruction, receiving module 1 is specifically used for receiving examination instruction, examination instruction
It include mark, mark, the market efficiency of construction efficiency class data analysis processor of network operation class data analysis processor
Mark, the mark of service provider's examination class data analysis processor of class data analysis processor.Correspondingly, processing module 3, specifically
For being imitated according to the mark of network operation class data analysis processor, the mark of construction efficiency class data analysis processor, market
Mark, the mark of service provider's examination class data analysis processor of beneficial class data analysis processor, respectively in network operation class number
Class number is examined according to analysis processor, construction efficiency class data analysis processor, market efficiency class data analysis processor, service provider
According to corresponding statistical data is called in analysis processor, according to default examination algorithm, at least one performance assessment criteria is evaluated,
Performance assessment criteria is at least one of following index: construction quality, Project Benefit, service satisfaction.
If functional assessment instruction is network construction decision instruction, receiving module 1 is determined specifically for receiving network construction
Plan instruction, network construction decision instruction include the mark of network operation class data analysis processor, construction efficiency class data point
Analyse the mark of processor, the mark of market efficiency class data analysis processor, service provider examination class data analysis processor mark
Know.Correspondingly, processing module 3, specifically for mark, the construction efficiency class data according to network operation class data analysis processor
The mark of analysis processor, the mark of market efficiency class data analysis processor, service provider examine class data analysis processor
Mark, respectively in network operation class data analysis processor, construction efficiency class data analysis processor, market efficiency class data point
Processor, the corresponding statistical data of the interior calling of service provider's examination class data analysis processor are analysed, is calculated according to default big data analysis
Method determines network construction decision parameters.
The device of the present embodiment can be used for executing the technical solution of above method embodiment, realization principle and technology effect
Seemingly, details are not described herein again for fruit.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above-mentioned each method embodiment can lead to
The relevant hardware of program instruction is crossed to complete.Program above-mentioned can be stored in a computer readable storage medium.The journey
When being executed, execution includes the steps that above-mentioned each method embodiment to sequence；And storage medium above-mentioned include: ROM, RAM, magnetic disk or
The various media that can store program code such as person's CD.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (6)
1. a kind of network construction management-control method based on big data analysis characterized by comprising
Receive the data information of user's input；
According to the category attribute of the data information, the data-interface comprising the category attribute is sent by the data information
Corresponding databases storage；
The data analysis instructions that data analysis processor is sent are received, the data analysis instructions include data-interface mark；
Wherein, the data analysis processor includes at least one of following each processor: network operation class Data Analysis Services
Device, construction efficiency class data analysis processor, market efficiency class data analysis processor, service provider examine class Data Analysis Services
Device；
It is identified according to the data-interface, determines data-interface corresponding with data-interface mark, and call the data
Data information in the corresponding database of interface；
Data processing is carried out to the data information called, and according to preset algorithm, generates statistical data；
Statistical data correspondence is stored in the data analysis processor for sending the data analysis instructions；
Receive capabilities assessment instruction, the functional assessment instruction include the mark of data analysis processor；
According to the mark of the data analysis processor, data analysis corresponding with the mark of the data analysis processor is determined
Processor calls corresponding statistical data, generating functionality assessment result in the data analysis processor.
2. the method according to claim 1, wherein the data-interface includes at least in following each interface
It is a kind of: Project Management Data interface, network construction data-interface, operation/maintenance data interface, bidding data-interface, marketing number
According to interface；
If the data analysis processor is the network operation class data analysis processor, the reception Data Analysis Services
The data analysis instructions that device is sent, the data analysis instructions include data-interface mark, comprising:
Receive the network operation class data analysis instructions that the network operation class data analysis processor is sent, the network operation
Class data analysis instructions include the mark of the operation/maintenance data interface；
Correspondingly, described identify according to the data-interface, data-interface corresponding with data-interface mark is determined, and adjust
With the data information in the corresponding database of the data-interface, comprising:
According to the mark of the operation/maintenance data interface, the operation/maintenance data corresponding with the mark of the operation/maintenance data interface is determined
Interface, and call the data information in the corresponding database of the operation/maintenance data interface；Wherein, the operation/maintenance data interface is corresponding
Database in data information include at least at least one of following data information: network resource usage data, failure feelings
Condition data connect situation data, traffic data, data traffic data, network coverage data, Network resource allocation data, money
Data are verified in source；
Correspondingly, described carry out data processing to the data information called, and according to preset algorithm, generate statistical data, packet
It includes:
Storage organization processing is carried out to the data information called, and according to preset algorithm, generates statistical data；Wherein, described
Statistical data includes at least following at least one: resource utilization, failure rate, percent of call completed, coverage rate；
If the data analysis instructions are the construction efficiency class data analysis processor, the reception data analysis processor
The data analysis instructions of transmission, the data analysis instructions include data-interface mark, comprising:
Receive the construction efficiency class data analysis instructions that the construction efficiency class data analysis processor is sent, the construction efficiency
Class data analysis instructions include the mark of the Project Management Data interface, the mark of the network construction data-interface；
Correspondingly, described identify according to the data-interface, data-interface corresponding with data-interface mark is determined, and adjust
With the data information in the corresponding database of the data-interface, comprising:
According to the mark of the Project Management Data interface, determine corresponding with the mark of the Project Management Data interface described
Project Management Data interface, and call the data information in the corresponding database of the Project Management Data interface；According to described
The mark of network construction data-interface determines the network construction data corresponding with the mark of the network construction data-interface
Interface, and call the data information in the corresponding database of the network construction data-interface；Wherein, the Project Management Data
Data information in the corresponding database of interface includes at least at least one of following data information: item attribute data, item
Mesh executes data；Data information in the corresponding database of the network construction data-interface includes at least in following data information
At least one: engineering progress data, network status data, planning execute performance data, network coverage data, network rack
Structure data；
Correspondingly, described carry out data processing to the data information called, and according to preset algorithm, generate statistical data, packet
It includes:
Storage organization processing is carried out to the data information called, and according to preset algorithm, generates statistical data；Wherein, described
Statistical data include at least following at least one: Engineering average response time, the construction period, take up rate, networking rate, delivery rate,
Branch scape performance analysis, unit price analysis；
If the data analysis instructions are the market efficiency class data analysis processor, the reception data analysis processor
The data analysis instructions of transmission, the data analysis instructions include data-interface mark, comprising:
Receive the market efficiency class data analysis instructions that the market efficiency class data analysis processor is sent, the market efficiency
Class data analysis instructions include the mark of the marketing data-interface；
Correspondingly, described identify according to the data-interface, data-interface corresponding with data-interface mark is determined, and adjust
With the data information in the corresponding database of the data-interface, comprising:
According to the mark of the marketing data-interface, determine corresponding with the mark of the marketing data-interface described
Marketing data-interface, and call the data information in the corresponding database of the marketing data-interface；Wherein, described
Data information in the corresponding database of marketing data-interface includes at least at least one of following data information: 2G industry
Business income data, 3G service revenue data, 4G service revenue data, userbase data, mobile data and information service are taken in
Data, fixed network services income data, network element is hired out and data communication income data, broadband internet health service revenue；
Correspondingly, described carry out data processing to the data information called, and according to preset algorithm, generate statistical data, packet
It includes:
Storage organization processing is carried out to the data information called, and according to preset algorithm, generates statistical data；Wherein, described
Statistical data includes at least following at least one: port accounts for rate, income statistics data, 2G in fact and enters an item of expenditure in the accounts number of users and accounting rate, 3G
It enters an item of expenditure in the accounts number of users and accounting rate, 4G enters an item of expenditure in the accounts number of users and accounting rate, IPTV number of users and distribution, user distribution, internet special line
Number of users and distribution, number of users growth trend data；
If the data analysis instructions are that the service provider examines class data analysis processor, the reception Data Analysis Services
The data analysis instructions that device is sent, the data analysis instructions include data-interface mark, comprising:
Receive service provider's examination class data analysis instructions that service provider's examination class data analysis processor is sent, the service
It includes the mark of the bidding data-interface that quotient, which examines class data analysis instructions,；
Correspondingly, described identify according to the data-interface, data-interface corresponding with data-interface mark is determined, and adjust
With the data information in the corresponding database of the data-interface, comprising:
According to the mark of the bidding data-interface, determine that the trick corresponding with the mark of the bidding data-interface is thrown
Data-interface is marked, and calls the data information in the corresponding database of the bidding data-interface；Wherein, the bidding number
At least one of following data information: purchase of goods and materials arrival number is included at least according to the data information in the corresponding database of interface
According to, bid share execute ratio data, service provider's score data, rewards and punishments data；
Correspondingly, described carry out data processing to the data information called, and according to preset algorithm, generate statistical data, packet
It includes:
Storage organization processing is carried out to the data information called, and according to preset algorithm, generates statistical data；Wherein, described
Statistical data includes at least following at least one: service provider examines fractional data, service provider's precedence data.
3. according to the method described in claim 2, it is characterized in that, functional assessment instruction includes at least following each finger
One in order: the instruction of returns of investment recruitment evaluation refers to mark attributive character parameter instruction, bid invitation risk prediction instruction, examination
It enables, network construction decision instruction；
If the functional assessment instruction is that the returns of investment recruitment evaluation instructs, the receive capabilities assessment instruction,
The functional assessment instruction includes the mark of data analysis processor, comprising:
The returns of investment recruitment evaluation instruction is received, the returns of investment recruitment evaluation instruction includes the network operation class
The mark of data analysis processor, the mark of the market efficiency class data analysis processor, the construction efficiency class data point
Analyse the mark of processor；
Correspondingly, the mark according to the data analysis processor, the determining mark pair with the data analysis processor
The data analysis processor answered calls corresponding statistical data, generating functionality assessment knot in the data analysis processor
Fruit, comprising:
According to the mark of the network operation class data analysis processor, the mark of the market efficiency class data analysis processor
Know, the mark of the construction efficiency class data analysis processor, respectively in the network operation class data analysis processor, described
Corresponding statistical data is called in market efficiency class data analysis processor, the construction efficiency class data analysis processor, it is raw
Network construction project is calculated according to the construction scale and Profit Assessment model at construction scale and Profit Assessment model
Returns of investment recruitment evaluation result；
If the functional assessment instruction is described pair of mark attributive character parameter instruction, the receive capabilities assessment instruction,
The functional assessment instruction includes the mark of data analysis processor, comprising:
Described pair of mark attributive character parameter instruction is received, described pair of mark attributive character parameter instruction includes the network operation class
The mark of the mark of data analysis processor, the construction efficiency class data analysis processor；
Correspondingly, the mark according to the data analysis processor, the determining mark pair with the data analysis processor
The data analysis processor answered calls corresponding statistical data, generating functionality assessment knot in the data analysis processor
Fruit, comprising:
According to the mark of the network operation class data analysis processor, the mark of the construction efficiency class data analysis processor
Know, calls correspond in the network operation class data analysis processor, the construction efficiency class data analysis processor respectively
Statistical data the characteristic parameter to mark attribute is generated according to the dynamic change that collects of statistical data, obtain to mark result；
If the functional assessment instruction is bid invitation risk prediction instruction, the receive capabilities assessment instruction is described
Functional assessment instruction includes the mark of data analysis processor, comprising:
The bid invitation risk prediction instruction is received, the bid invitation risk prediction instruction includes the construction efficiency class data analysis
The mark of the mark of processor, service provider examination class data analysis processor；
Correspondingly, the mark according to the data analysis processor, the determining mark pair with the data analysis processor
The data analysis processor answered calls corresponding statistical data, generating functionality assessment knot in the data analysis processor
Fruit, comprising:
According to the mark of the construction efficiency class data analysis processor, the mark of service provider examination class data analysis processor
Know, respectively the calling pair in the construction efficiency class data analysis processor, service provider examination class data analysis processor
The statistical data answered, will be in the construction efficiency class data analysis processor and service provider examination class data analysis processor
Statistical data matched, bid invitation risk point is predicted according to matching result；
If the functional assessment instruction is that the examination instructs, the receive capabilities assessment instruction, the functionality is commented
Estimate the mark that instruction includes data analysis processor, comprising:
The examination instruction is received, the examination instruction includes mark, the institute of the network operation class data analysis processor
State the mark of construction efficiency class data analysis processor, the mark of the market efficiency class data analysis processor, the service
The mark of quotient's examination class data analysis processor；
Correspondingly, the mark according to the data analysis processor, the determining mark pair with the data analysis processor
The data analysis processor answered calls corresponding statistical data, generating functionality assessment knot in the data analysis processor
Fruit, comprising:
According to the mark of the network operation class data analysis processor, the mark of the construction efficiency class data analysis processor
Knowledge, the mark of the market efficiency class data analysis processor, the mark of service provider examination class data analysis processor, point
Not in the network operation class data analysis processor, the construction efficiency class data analysis processor, the market efficiency class
Corresponding statistical data is called in data analysis processor, service provider examination class data analysis processor, is examined according to default
Accounting method evaluates at least one performance assessment criteria, and the performance assessment criteria is at least one of following index: construction matter
Amount, Project Benefit, service satisfaction；
If the functional assessment instruction is the network construction decision instruction, the receive capabilities assessment instruction is described
Functional assessment instruction includes the mark of data analysis processor, comprising:
The network construction decision instruction is received, the network construction decision instruction includes the network operation class data analysis
The mark of processor, the mark of the construction efficiency class data analysis processor, the market efficiency class data analysis processor
Mark, the service provider examination class data analysis processor mark；
Correspondingly, the mark according to the data analysis processor, the determining mark pair with the data analysis processor
The data analysis processor answered calls corresponding statistical data, generating functionality assessment knot in the data analysis processor
Fruit, comprising:
According to the mark of the network operation class data analysis processor, the mark of the construction efficiency class data analysis processor
Knowledge, the mark of the market efficiency class data analysis processor, the mark of service provider examination class data analysis processor, point
Not in the network operation class data analysis processor, the construction efficiency class data analysis processor, the market efficiency class
Corresponding statistical data is called in data analysis processor, service provider examination class data analysis processor, according to default big
Data analysis algorithm determines network construction decision parameters.
4. a kind of network construction control platform based on big data analysis characterized by comprising
Receiving module, for receiving the data information of user's input；
Memory module sends the data information to comprising the classification for the category attribute according to the data information
The storage of databases corresponding to the data-interface of attribute；
The receiving module is also used to receive the data analysis instructions of data analysis processor transmission, the data analysis instructions
It include data-interface mark；Wherein, the data analysis processor includes at least one of following each processor: network
Run class data analysis processor, construction efficiency class data analysis processor, market efficiency class data analysis processor, service provider
Examine class data analysis processor；
Processing module, for being identified according to the data-interface, determining data-interface corresponding with data-interface mark, and
Call the data information in the corresponding database of the data-interface；Data processing, and root are carried out to the data information called
According to preset algorithm, statistical data is generated；
The memory module is also used to for statistical data correspondence to be stored in the data analysis for sending the data analysis instructions
In processor；
The receiving module is also used to receive capabilities assessment instruction, and the functional assessment instruction includes at data analysis
Manage the mark of device；
The processing module is also used to the mark according to the data analysis processor, the determining and data analysis processor
The corresponding data analysis processor of mark, corresponding statistical data, systematic function are called in the data analysis processor
Property assessment result.
5. platform according to claim 4, which is characterized in that the data-interface includes at least in following each interface
It is a kind of: Project Management Data interface, network construction data-interface, operation/maintenance data interface, bidding data-interface, marketing number
According to interface；
If the data analysis processor is the network operation class data analysis processor, the receiving module is specific to use
In the network operation class data analysis instructions for receiving the network operation class data analysis processor transmission, the network operation class
Data analysis instructions include the mark of the operation/maintenance data interface；
Correspondingly, the processing module, specifically for the mark according to the operation/maintenance data interface, the determining and operation/maintenance data
The corresponding operation/maintenance data interface of the mark of interface, and the data in the corresponding database of the operation/maintenance data interface is called to believe
Breath；Wherein, the data information in the corresponding database of the operation/maintenance data interface includes at least in following data information at least
A kind of: network resource usage data, connect situation data, traffic data, data traffic data, network at fault condition data
Cover data, Network resource allocation data, resource inspection data；Storage organization processing is carried out to the data information called, and
According to preset algorithm, statistical data is generated；Wherein, the statistical data includes at least following at least one: resource utilization, event
Barrier rate, percent of call completed, coverage rate；
If the data analysis instructions are the construction efficiency class data analysis processor, the receiving module is specifically used for
Receive the construction efficiency class data analysis instructions that the construction efficiency class data analysis processor is sent, the construction efficiency class number
It include the mark of the Project Management Data interface, the mark of the network construction data-interface according to analysis instruction；
Correspondingly, the processing module, specifically for the mark according to the Project Management Data interface, the determining and project
The corresponding Project Management Data interface of mark of data-interface is managed, and calls the Project Management Data interface corresponding
Data information in database；According to the mark of the network construction data-interface, the determining and network construction data-interface
The corresponding network construction data-interface of mark, and call the number in the corresponding database of the network construction data-interface
It is believed that breath；Wherein, the data information in the corresponding database of the Project Management Data interface includes at least following data information
At least one of: item attribute data, project implementation data；Number in the corresponding database of the network construction data-interface
It is believed that breath includes at least at least one of following data information: engineering progress data, network status data, planning execute completion
Situation data, network coverage data, network architecture data；Data information progress storage organization processing to being called, and according to
Preset algorithm generates statistical data；Wherein, the statistical data is including at least following at least one: Engineering average response time,
Construction period takes up rate, networking rate, delivery rate, branch scape performance analysis, unit price analysis；
If the data analysis instructions are the market efficiency class data analysis processor, the receiving module is specifically used for
Receive the market efficiency class data analysis instructions that the market efficiency class data analysis processor is sent, the market efficiency class number
It include the mark of the marketing data-interface according to analysis instruction；
Correspondingly, the processing module, specifically for the mark according to the marketing data-interface, the determining and market
The corresponding marketing data-interface of the mark of marketing data interface, and call the marketing data-interface corresponding
Data information in database；Wherein, the data information in the corresponding database of the marketing data-interface includes at least
At least one of following data information: 2G service revenue data, 3G service revenue data, 4G service revenue data, Yong Hugui
Modulus evidence, mobile data and information service income data, fixed network services income data, network element is hired out and data communication income number
According to, broadband internet health service revenue；Storage organization processing is carried out to the data information called, and according to preset algorithm, is generated
Statistical data；Wherein, the statistical data includes at least following at least one: port accounts for rate, income statistics data, 2G in fact and enters an item of expenditure in the accounts
Number of users and accounting rate, 3G enter an item of expenditure in the accounts number of users and accounting rate, 4G enter an item of expenditure in the accounts number of users and accounting rate, IPTV number of users and distribution, use
Family distribution, leased line subscriber's number and distribution, number of users growth trend data；
If the data analysis instructions are that the service provider examines class data analysis processor, the receiving module is specific to use
Class data analysis instructions, the service provider are examined in receiving the service provider that service provider's examination class data analysis processor is sent
Examination class data analysis instructions include the mark of the bidding data-interface；
Correspondingly, the processing module, specifically for the mark according to the bidding data-interface, the determining and bidding
The corresponding bidding data-interface of the mark of data-interface, and call in the corresponding database of the bidding data-interface
Data information；Wherein, the data information in the corresponding database of the bidding data-interface is believed including at least following data
At least one of breath: purchase of goods and materials arrival data, bid share execute ratio data, service provider's score data, rewards and punishments data；
Storage organization processing is carried out to the data information called, and according to preset algorithm, generates statistical data；Wherein, the statistics
Data include at least following at least one: service provider examines fractional data, service provider's precedence data.
6. platform according to claim 5, which is characterized in that the functional assessment instruction includes at least following each finger
One in order: the instruction of returns of investment recruitment evaluation refers to mark attributive character parameter instruction, bid invitation risk prediction instruction, examination
It enables, network construction decision instruction；
If the functional assessment instruction is that the returns of investment recruitment evaluation instructs, the receiving module, specifically for connecing
The returns of investment recruitment evaluation instruction is received, the returns of investment recruitment evaluation instruction includes the network operation class data point
Analyse mark, the mark of the market efficiency class data analysis processor, the construction efficiency class Data Analysis Services of processor
The mark of device；
Correspondingly, the processing module, specifically for the mark according to the network operation class data analysis processor, the city
Mark, the mark of the construction efficiency class data analysis processor of field benefit class data analysis processor, respectively in the net
Network runs class data analysis processor, the market efficiency class data analysis processor, at the construction efficiency class data analysis
It manages and calls corresponding statistical data in device, generate construction scale and Profit Assessment model, commented according to the construction scale and income
Estimate model, the returns of investment recruitment evaluation result of network construction project is calculated；
If the functional assessment instruction is described pair of mark attributive character parameter instruction, the receiving module, specifically for connecing
Described pair of mark attributive character parameter instruction is received, described pair of mark attributive character parameter instruction includes the network operation class data point
Analyse mark, the mark of the construction efficiency class data analysis processor of processor；
Correspondingly, the processing module, specifically for according to the mark of the network operation class data analysis processor, described build
If the mark of efficiency class data analysis processor, respectively in the network operation class data analysis processor, the construction efficiency
Corresponding statistical data is called in class data analysis processor, according to the dynamic change that collects of statistical data, is generated to mark attribute
Characteristic parameter, obtain to mark result；
If the functional assessment instruction is bid invitation risk prediction instruction, the receiving module is specifically used for receiving institute
Bid invitation risk prediction instruction is stated, the bid invitation risk prediction instruction includes the mark of the construction efficiency class data analysis processor
Know, the mark of service provider examination class data analysis processor；
Correspondingly, the processing module, specifically for the mark according to the construction efficiency class data analysis processor, the clothes
Business quotient examines the mark of class data analysis processor, respectively in the construction efficiency class data analysis processor, the service provider
Examine and call corresponding statistical data in class data analysis processor, by the construction efficiency class data analysis processor with it is described
Statistical data in service provider's examination class data analysis processor is matched, and is carried out according to matching result to bid invitation risk point pre-
It surveys；
If the functional assessment instruction is that the examination instructs, the receiving module, refer to specifically for receiving the examination
It enables, the examination instruction includes the mark of the network operation class data analysis processor, the construction efficiency class data point
The analysis mark of processor, the mark of the market efficiency class data analysis processor, the service provider examine at the analysis of class data
Manage the mark of device；
Correspondingly, the processing module, specifically for according to the mark of the network operation class data analysis processor, described build
If the mark of efficiency class data analysis processor, the mark of the market efficiency class data analysis processor, the service provider examine
The mark of core class data analysis processor, respectively in the network operation class data analysis processor, the construction efficiency class number
It examines in class data analysis processor and adjusts according to analysis processor, the market efficiency class data analysis processor, the service provider
At least one performance assessment criteria is evaluated according to default examination algorithm with corresponding statistical data, the performance assessment criteria be with
At least one of lower index: construction quality, Project Benefit, service satisfaction；
If the functional assessment instruction is the network construction decision instruction, the receiving module is specifically used for receiving institute
Network construction decision instruction is stated, the network construction decision instruction includes the mark of the network operation class data analysis processor
It is knowledge, the mark of the construction efficiency class data analysis processor, the mark of the market efficiency class data analysis processor, described
The mark of service provider's examination class data analysis processor；
Correspondingly, the processing module, specifically for according to the mark of the network operation class data analysis processor, described build
If the mark of efficiency class data analysis processor, the mark of the market efficiency class data analysis processor, the service provider examine
The mark of core class data analysis processor, respectively in the network operation class data analysis processor, the construction efficiency class number
It examines in class data analysis processor and adjusts according to analysis processor, the market efficiency class data analysis processor, the service provider
Network construction decision parameters are determined according to default big data analysis algorithm with corresponding statistical data.
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| CN107944658A (en) * | 2017-10-23 | 2018-04-20 | 深圳前海风车科技服务有限公司 | The data processing method and device of health resources configuration are guided by combinatory analysis |
| CN109101539B (en) * | 2018-06-29 | 2021-07-02 | 东软集团股份有限公司 | Service data quality evaluation method and device, storage medium and electronic equipment |
| CN109636190B (en) * | 2018-12-13 | 2020-11-17 | 中国联合网络通信集团有限公司 | Method and device for acquiring base station operation information |
| CN109828988A (en) * | 2019-01-25 | 2019-05-31 | 重庆科技学院 | A kind of big data statistical method and the system for big data statistics |
| CN109743216B (en) * | 2019-03-06 | 2021-08-17 | 中国联合网络通信集团有限公司 | Method and device for predicting metropolitan area network traffic |
| CN110309194A (en) * | 2019-03-19 | 2019-10-08 | 武汉轻工大学 | A kind of data analysis set-up, Data Analysis Services system and data analysing method |
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