CN104980950B - A kind of network optimization service device, the mobile device and system for realizing the network optimization - Google Patents
A kind of network optimization service device, the mobile device and system for realizing the network optimization Download PDFInfo
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Abstract
The mobile device and system that the embodiment of the present invention provides a kind of network optimization service device, realizes the network optimization, data acquisition unit, obtains and storage service perception data, network performance data and business use data；Grid service-aware computing unit is based on service-aware data, and the integrated service perception score of different grids is calculated according to the correspondence of base station and grid；Grid covering quality computing unit calculates the comprehensive quality index score of different grids according to the correspondence of base station and grid；Grid value index computing unit calculates the comprehensive value index of different grids according to the correspondence of base station and grid；Diagnosis unit is assessed in the network coverage automatically, using integrated service perception score, comprehensive quality index score and the comprehensive value index of grid, it determines that the Internet resources of grid network coverage optimization launch overall merit score using expert system rule engine, matches corresponding Optimized Diagnosis suggestion.Optimized Diagnosis suggestion is automatically formed.
Description
Technical field
The present invention relates to development of Mobile Internet technology, a kind of particularly relate to network optimization service device, realize the network optimization shifting
Dynamic equipment and system.
Background technology
With the development of mobile Internet, mobile terminal Internet access flow rapidly increases, and for effectively carrying and dredges outburst
Flow, operator accelerate the construction of 3G network one after another.3G network built environment is very different with 2G networks：Network construction
Directly facing huge storage user market, the requirement using the user of intelligent terminal to business changes, needs
Take into account the cooperative development with 2G networks and WLAN.The planning of 3G network and build the linkage for more emphasizing market and network, emphasize with
Customer value and service-aware are that the Internet resources being oriented to accurately are launched.
The dispensing of one wheel 3G network resource can be divided into the network planning and build two stages on the spot.People is planned in the network planning
Member obtains the basic market index for including number of users and portfolio etc. in planning region by operation analysis system, to rough
Estimating resource input proportioning, and according to existing net coverage condition and network construction experience, the network construction in region is planned；
Rolling Planning using year as the period, hand over to less variation after construction personnel by planning, until next dispensing period.It builds, builds on the spot
If personnel examine on the spot target area according to programme, and it is open-minded with tuning to organize the implementation of the project, generally to move into
Complexity and equipment arrival situation are major consideration, when encountering that situation conflicts with programme on the spot, with phone
Based on communication, formal record is not done usually.
It is promoted in the main means that Internet resources are accurately launched at present, planning personnel obtains market by operation analysis system
Development indicators or report；Base station performance index or report are obtained by network monitoring system；Pass through the shape of Excel and analysis report
Formula, analysis resource launch benefit；Construction personnel perceive index by testing acquisition for mobile terminal Internet service (experience).But
Reality is the dispersion storage of decision information：Customer value information storage is in business support system and operation analysis system, base station
Performance and network quality information are stored in network monitoring system, and service-aware data are stored in network optimization system (referred to as：
Network optimization system) in.Planning personnel can not three category information of confluence analysis, can not fully assess resource dispensing market value,
Causing base station planning, there are certain blindness.
Information flow is unsmooth：First, the variation of market environment can not be timely transmitted to network mouth personnel, by present with year
For the Rolling Planning period of unit, it can cause network construction and business demand that deviation occurs；Second is that network planning personnel and on the spot
Lack effective information flow support between construction personnel, the understanding that planning personnel is worth regional construction can not be by the personnel of construction
Understood, the field condition that construction personnel are grasped can not be also timely fed back in planning personnel's hand, cause base station planning and reality
There are certain disconnections for border construction.
Knowledge can not precipitate：Network planning personnel generally have network construction experience and the more mature net compared with horn of plenty
Network planing method, but the often Construction Problems in focal point region.Construction personnel will obtain planning guidance or optimum ideals needs
By repeatedly discussing, the efficiency of network construction and Optimization Work is affected.
There are the following problems for the prior art：During launching Internet resources, auxiliary programming personnel and construction personnel are real
It is immature to be now that the resource being oriented to launches technology with customer value and service-aware, relies primarily on planning personnel and builds personnel
Business experience lacks information-based data supporting to realize the dispensing of Internet resources.
Invention content
The technical problem to be solved in the present invention is to provide a kind of network optimization service device, the mobile devices of the realization network optimization
And system, it solves in the prior art, during launching Internet resources, depends on planning personnel and build the industry of personnel
Business experience but lacks information-based data as decision basis to realize the defect of Internet resources dispensing.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of network optimization service device, including：Data acquire
Unit, for acquisition and storage service perception data, network performance data and business use data；Grid service-aware calculates
Unit determines that different business perceives the business entropy weight of index, and according to base station for being based on service-aware data according to Information Entropy
The integrated service that different grids is calculated with the correspondence of grid perceives score；Grid covering quality computing unit is used for base
In network performance data, the performance weights of different performance are determined according to Information Entropy, and according to the correspondence meter of base station and grid
The comprehensive quality index score of different grids；Grid value index computing unit, for using data based on business, according to
Expert graded determines that different business uses the dimension weight of dimension, and calculates difference according to the correspondence of base station and grid
Grid comprehensive value index；Diagnosis unit is assessed in the network coverage automatically, for using grid integrated service perception score,
Comprehensive quality index score and comprehensive value index, the network of grid network coverage optimization is determined using expert system rule engine
Resource launches overall merit score, matches corresponding Optimized Diagnosis suggestion.
In the server, further include：Internet service experiences acquisition interface, the industry for receiving mobile device acquisition
Business perception data.
In the server, data acquisition unit includes：Network optimization system module is acquired, is used for from network optimization system
System obtains the service-aware data；Customer service system module is acquired, for obtaining customer complaint information as institute from customer service system
State service-aware data；Network management system module is acquired, it is related for obtaining the network coverage from network management system with the frequency of day or the moon
Configuration and monitoring data are as the network performance data；Capturing service uses data module, is used for from customer relation management
CRM, business operation support system BOSS obtain the business and use data；Operation analysis system module is acquired, is used for from operation
Analysis system obtains refined user group information and uses data as the business.
In the server, the grid service-aware computing unit includes：Service-aware standardized module is used for needle
To all base stations, every service-aware index that service-aware data include is standardized, uniform traffic perception refers to
Target order of magnitude range；Service-aware entropy weight module, the entropy weight for calculating every service-aware index, the bigger business of entropy weight
The dispersion for perceiving index is bigger, shows that this service-aware index is more unstable, according to unstable degree from high to low suitable
The weight of corresponding service-aware index is arranged from high to low in sequence；Base station integrated service sensing module is used for for first base station,
Based on the entropy weight of every service-aware index, to every service-aware index weighted sum after the standardization of first base station
Obtain the service-aware score of the first base station；Grid integrated service sensing module, for being closed according to grid and the corresponding of base station
System summarizes the service-aware score of whole base stations in grid, is averaged and perceives score as the integrated service of the grid.
In the server, the grid covering quality computing unit includes：Network quality standardized module is used for needle
To all base stations, every network quality index is standardized, the order of magnitude range of Unified Network quality index；Network
The dispersion of quality entropy weight module, the entropy weight for calculating each index, the bigger network quality index of entropy weight is bigger, shows this
Network quality index is more unstable, and the weight of corresponding network quality index is arranged according to the sequence of unstable degree from high to low
From high to low；Base station Quality Calculation Module is used for for first base station, based on the entropy weight of every network quality index, to first
Every network quality index weighted sum after the standardization of base station obtains the network quality score of the first base station；Grid
Quality Calculation Module summarizes the network quality score of whole base stations in grid, takes for the correspondence according to grid and base station
Integrated network quality score of the average value as the grid.
In the server, the grid value index computing unit includes：Individual comprehensive value obtains sub-module, is used for
The weight that each essential attribute of client is predefined using expert graded is weighted read group total to each essential attribute
Go out the individual comprehensive value score of client；Base station score allocation module is used for by the individual comprehensive value score, according to client
The traffic occurred in first base station accounts for the pro rata distribution of the full period traffic to the first base station；Comprehensive value index mould
Block summarizes the individual comprehensive value score arrived apportioned by whole base stations in grid for the correspondence according to grid and base station
The sum of, the comprehensive value index as the grid.
In the server, the network coverage assesses diagnosis unit and includes automatically：Internet resources launch overall merit module,
For according to formula comprehensive quality index score/(comprehensive value index * 50%+ integrated services perceive score * 50%), calculating one
The Internet resources of a grid launch overall merit score.
In the server, the network coverage assesses diagnosis unit and includes automatically：Regularization module, for excellent according to network
Change policing rule and integrated service is perceived into score, comprehensive quality index score and the progress regularization processing of comprehensive value index, shape
At the rule condition that can be identified by Expert Rules engine；Expert engine module is used for the rule condition of the grid according to input, time
The rule tree in Network Optimization Strategy library is gone through, extraction meets the policy depiction of rule condition；Policy depiction module, for according to pre-
If description show template, the policy depiction of splicing Expert Rules engine output, the Optimized Diagnosis formed for different grids is built
View.
A kind of mobile device for realizing the network optimization, including：Wireless communication unit is realized for accessing wireless Internet
With the data transmission of server；Service-aware collecting unit, for accessing wireless Internet by the wireless communication unit, and
The service-aware data during respective session are recorded according to type of business, by service-aware data transmission to server；It is based on
The grid coverage evaluating of map shows unit, for map layer to be divided into grid according to longitude and latitude, and according to the network optimization
The Internet resources for the grid that server provides launch the height of overall merit score, fill the color lump of corresponding bright-dark degree；Network
Resource input diagnostic result shows unit, the Optimized Diagnosis suggestion that the expert system rule engine for display server exports.
A kind of system for realizing the network optimization, including：Network optimization service device and mobile device；Network optimization service device packet
It includes：Data acquisition unit, for acquisition and storage service perception data, network performance data and business use data；Grid
Service-aware computing unit determines that different business perceives the business entropy of index for being based on service-aware data according to Information Entropy
It weighs, and calculates the integrated service perception score of different grids according to the correspondence of base station and grid；Grid covering quality meter
Unit is calculated, for being based on network performance data, the performance weights of different performance are determined according to Information Entropy, and according to base station and grid
Correspondence calculate the comprehensive quality index score of different grids；Grid value index computing unit, for being based on business
Using data, determine that different business uses the dimension weight of dimension according to expert graded, and according to pair of base station and grid
It should be related to the comprehensive value index for calculating different grids；Diagnosis unit is assessed in the network coverage automatically, for using the comprehensive of grid
Service-aware score, comprehensive quality index score and comprehensive value index are closed, grid screen is determined using expert system rule engine
The Internet resources of network coverage optimization launch overall merit score, match corresponding Optimized Diagnosis suggestion；Mobile device is used for root
The height of overall merit score is launched according to the Internet resources of grid, fills the color lump of corresponding bright-dark degree；And display server
Expert system rule engine output Optimized Diagnosis suggestion.
In the system, in network optimization service device：Data acquisition unit includes：Network optimization system module is acquired,
For obtaining the service-aware data from network optimization system；Customer service system module is acquired, is used for being obtained from customer service system
Family calling information is as the service-aware data；Acquire network management system module, for the frequency of day or the moon from network management system
Network coverage relevant configuration and monitoring data are obtained as the network performance data；Capturing service uses data module, is used for
The business, which is obtained, from manageming contacts CRM, business operation support system BOSS uses data；Acquire operation analysis system mould
Block uses data for obtaining refined user group information from operation analysis system as the business；The grid service-aware
Computing unit includes：Service-aware standardized module, for being directed to all base stations, the every business for including to service-aware data
Perception index is standardized, and uniform traffic perceives the order of magnitude range of index；Service-aware entropy weight module, for calculating
The dispersion of the entropy weight of every service-aware index, the bigger service-aware index of entropy weight is bigger, shows that this service-aware refers to
Mark is more unstable, and the weight of corresponding service-aware index is arranged from high to low according to the sequence of unstable degree from high to low；
Base station integrated service sensing module is used for for first base station, based on the entropy weight of every service-aware index, to first base station
Every service-aware index weighted sum after standardization obtains the service-aware score of the first base station；Grid integrates industry
Business sensing module summarizes the service-aware score of whole base stations in grid, makes even for the correspondence according to grid and base station
Mean value perceives score as the integrated service of the grid；The grid covering quality computing unit includes：Network quality standardizes
Module is standardized every network quality index, the quantity of Unified Network quality index for being directed to all base stations
Grade range；Network quality entropy weight module, the entropy weight for calculating each index, the dispersion of the bigger network quality index of entropy weight is more
Greatly, show that this network quality index is more unstable, corresponding network matter is set according to the sequence of unstable degree from high to low
The weight of figureofmerit is from high to low；Base station Quality Calculation Module is used for for first base station, based on every network quality index
Entropy weight obtains the network matter of the first base station to every network quality index weighted sum after the standardization of first base station
It measures point；Grid Quality Calculation Module summarizes the network of whole base stations in grid for the correspondence according to grid and base station
Quality score is averaged the integrated network quality score as the grid.
In the system, in network optimization service device, the network coverage assesses diagnosis unit and includes automatically：Internet resources are thrown
Overall merit module is put, for according to formula comprehensive quality index score/(comprehensive value index * 50%+ integrated services perceive
Divide * 50%), the Internet resources for calculating a grid launch overall merit score.
The above-mentioned technical proposal of the present invention has the beneficial effect that：In server side, it is based on service-aware data, network
Performance data and business use data, and integrated service perception, comprehensive quality are established according to Information Entropy or expert graded etc.
Index and comprehensive value index recycle expert system rule engine to determine the pressing degree grade of grid network coverage optimization,
Corresponding Optimized Diagnosis suggestion is matched, whole process participates in without artificial, automatically formed Optimized Diagnosis suggestion, realized network
The dispensing of resource.
Description of the drawings
Fig. 1 shows a kind of structural schematic diagrams of network optimization service device；
Fig. 2 indicates a kind of structural schematic diagram of mobile device that realizing the network optimization；
Fig. 3 A indicate that network optimization service device carries out the flow diagram one of the network optimization；
Fig. 3 B indicate that network optimization service device carries out the flow diagram two of the network optimization；
Fig. 4 indicates a kind of configuration diagram of system that realizing the network optimization.
Specific implementation mode
To keep the technical problem to be solved in the present invention, technical solution and advantage clearer, below in conjunction with attached drawing and tool
Body embodiment is described in detail.
The present invention provides the Technical Architecture of server+mobile device, and mobile device can be with server communication, server unification
Customer value, service-aware and network quality data are acquired, is evaluation unit with geographical grid, is assessed automatically using expert system
And diagnosis, show assessment and diagnosis on the mobile apparatus as a result, auxiliary construction personnel carry out field optimizing work.
As shown in Figure 1, network optimization service device 1, relates generally to data acquisition unit 11, Internet service experience acquisition connects
Mouth 12, grid service-aware computing unit 13, grid covering quality computing unit 14, grid value index computing unit 15 and net
The automatic assessment diagnosis unit 16 of network covering.Mobile device 2 relates generally to Internet service experience collecting unit 21, wireless transmission
Interface module 22, USB data interface module 23, the grid coverage evaluating based on map show unit 24 and Internet resources input is examined
Disconnected result presentation unit 25 etc..
The embodiment of the present invention provides a kind of network optimization service device, as shown in Figure 1, including：
Data acquisition unit 11, for acquisition and storage service perception data, network performance data and business use number
According to；
Grid service-aware computing unit 13 determines different business sense for being based on service-aware data according to Information Entropy
Know the business entropy weight of index, and calculates the integrated service perception score of different grids according to the correspondence of base station and grid；
Grid covering quality computing unit 14 determines different performance for being based on network performance data according to Information Entropy
Performance weights, and calculate according to the correspondence of base station and grid the comprehensive quality index score of different grids；
Grid value index computing unit 15 determines different for using data based on business according to expert graded
Business uses the dimension weight of dimension, and the comprehensive value for calculating according to the correspondence of base station and grid different grids refers to
Mark；
Diagnosis unit 16 is assessed in the network coverage automatically, is referred to for the integrated service perception score using grid, comprehensive quality
Score and comprehensive value index are marked, it is comprehensive to determine that the Internet resources of grid network coverage optimization are launched using expert system rule engine
Evaluation score is closed, corresponding Optimized Diagnosis suggestion is matched.
Service-aware data are based in server side using the technology provided, network performance data and business use
Data establish integrated service perception, comprehensive quality index and comprehensive value index, and expert system rule engine is recycled to determine grid
The pressing degree grade of grid network coverage optimization, matches corresponding Optimized Diagnosis suggestion, and whole process participates in automatically without artificial
Optimized Diagnosis suggestion is formed, the dispensing of Internet resources is realized.
As shown in Figure 1, in a preferred embodiment, network optimization service device 1 further includes：
Internet service experiences collecting unit 21, the service-aware data for acquiring mobile device 2.The business of internet
Perception data includes HTTP browsings, the business such as download, video, Email, game and instant messaging on FTP；Internet service is experienced
Acquisition interface 12, the Internet service for receiving mobile device 2 experience the service-aware data that collecting unit 21 acquires.
Data acquisition unit 11 includes acquisition network optimization system module, acquisition network management system module, capturing service use
Data module and acquisition operation analysis system module：
Network optimization system module is acquired, for obtaining the service-aware data from network optimization system；
Customer service system module is acquired, for obtaining customer complaint information as the service-aware data from customer service system；
Network management system module is acquired, for obtaining network coverage relevant configuration and prison from network management system with the frequency of day or the moon
Data are controlled as the network performance data；
Capturing service uses data module, is used for from customer relation management (CRM, Customer Relationship
Management), business operation support system (BOSS, Business&Operation Support System) obtain described in
Business uses data；
Operation analysis system module is acquired, for obtaining refined user group information as the business from operation analysis system
Use data.Standard interface specifications are followed to be stored in data acquisition unit 11.
Grid service-aware computing unit 13, according to network optimization system provide the service-aware data based on base station,
Business entropy weight is determined according to Information Entropy, and is perceived according to the integrated service of base station and the correspondence computation grid of grid.Business
Perception data includes HTTP browsings, the emphasis business such as download, video, Email, game, instant messaging on FTP.
The service-aware data of 1 Internet service of table
In a preferred embodiment, grid service-aware computing unit 13 includes：
Service-aware standardized module, for being directed to all base stations, the every service-aware for including to service-aware data
Index is standardized, and uniform traffic perceives the order of magnitude range of index；
Service-aware entropy weight module, the entropy weight for calculating every service-aware index, the bigger service-aware of entropy weight refer to
Target dispersion is bigger, shows that this service-aware index is more unstable, is arranged according to the sequence of unstable degree from high to low
The weight of corresponding service-aware index is from high to low；
Base station integrated service sensing module, for for first base station, based on the entropy weight of every service-aware index, to the
Every service-aware index weighted sum after the standardization of one base station obtains the service-aware score of the first base station；
Grid integrated service sensing module summarizes whole base stations in grid for the correspondence according to grid and base station
Service-aware score, be averaged as the grid integrated service perceive score.
Grid covering quality computing unit 14, two generations (2G) network provided according to network management system, three generations (3G) network base
It stands configuration and performance data, performance index weights is determined according to Information Entropy, and grid are calculated according to the correspondence of base station and grid
The comprehensive quality index of lattice.
In a preferred embodiment, grid covering quality computing unit 14 includes：
Network quality standardized module, for for all base stations, being standardized to every network quality index,
The order of magnitude range of Unified Network quality index；
Network quality entropy weight module, the entropy weight for calculating each index, the dispersion of the bigger network quality index of entropy weight
It is bigger, show that this network quality index is more unstable, corresponding network is set according to the sequence of unstable degree from high to low
The weight of quality index is from high to low；
Base station Quality Calculation Module is used for for first base station, based on the entropy weight of every network quality index, to the first base
Every network quality index weighted sum after the standardization stood obtains the network quality score of the first base station；
Grid Quality Calculation Module summarizes the net of whole base stations in grid for the correspondence according to grid and base station
Network quality score is averaged the integrated network quality score as the grid.
Grid value index computing unit 15, according to systems such as manageming contacts CRM, BOSS, customer service and performance analyses
The user of offer and business use data, according to dimensions such as user group's attribute, business usage amount, customer service complaint amounts, according to special
Family's scoring determines dimension weight, and is referred to using the comprehensive value of base station and the correspondence computation grid of grid according to user
Mark.
In a preferred embodiment, grid value index computing unit 15 includes：
Individual comprehensive value obtains sub-module, the power of each essential attribute for predefining client using expert graded
Weight, the individual comprehensive value score that read group total goes out client is weighted to each essential attribute；
Base station score allocation module, for by the individual comprehensive value score, occurring in first base station according to client
The traffic account for the pro rata distribution of the full period traffic to the first base station；
Comprehensive value Index module summarizes whole base stations in grid and divides for the correspondence according to grid and base station
The sum of individual comprehensive value score spread out, the comprehensive value index as the grid.
Diagnosis unit 16 is assessed in the network coverage automatically, according to the perception of the integrated service of grid, comprehensive quality index and synthesis
Value index, the reasonability of computation grid Internet resources input, determines the pressing degree grade of grid network coverage optimization.It utilizes
Expert system rule engine, according to coverage optimization policing rule, according to the configuration of grid base station and base station performance situation, matching corresponds to
Optimized Diagnosis suggestion.
In a preferred embodiment, the network coverage assesses diagnosis unit 16 and includes automatically：
Internet resources launch overall merit module, for according to formula
Comprehensive quality index score/(comprehensive value index * 50%+ integrated services perceive score * 50%), calculates a grid
The Internet resources of lattice launch overall merit score.
In a preferred embodiment, the network coverage assesses diagnosis unit 16 and includes automatically：
Regularization module, for integrated service to be perceived score according to Network Optimization Strategy rule, comprehensive quality index obtains
Divide and comprehensive value index carries out regularization processing, forms the rule condition that can be identified by Expert Rules engine；
Expert engine module, for the rule condition according to the grid of input, in traverses network optimisation strategy library
Rule tree, extraction meet the policy depiction of rule condition；
Policy depiction module is retouched for showing template according to preset description to splice the strategy of Expert Rules engine output
It states, forms the Optimized Diagnosis suggestion for different grids.
In an application scenarios, as shown in Figure 3A and Figure 3B, the flow in two attached drawings is integrated, process flow packet
It includes：
Step 301, it in target geographical area, is moved to maximum longitude and latitude since minimum longitude and latitude, every hundred meters of pictures of N
One line is handled until completing the rasterizing to target geographical area.According to the longitude and latitude of base station, base station is divided into corresponding
In grid.
Step 302, according to the essential attribute-of client net duration, whether VIP etc., revenue contributions-ARPU, campus network
Deng and complain work order amount, using the predetermined weight of expert graded, the individual that client is calculated by weighted sum is comprehensive
It is worth score.
Step 303, the traffic occurs on a certain base station according to client and accounts for the ratio of the client whole month traffic (when call
Long or surfing flow) share individual comprehensive value score to the base station.
Further according to the correspondence of grid and base station, summarize in grid apportioned by whole base stations to individual comprehensive value obtain
/ and, the synthesis customer value score as the grid.
Step 304, for all base stations, the service-aware (table 1) of every Internet service is standardized, is united
One index order of magnitude range, and calculate the entropy weight of each index.The bigger index dispersion of entropy is bigger, and experience performance is more unstable
It is fixed, the weight of corresponding index also higher.
Step 305, the index power for the service-aware of certain base station being standardized, and step 304 being combined to determine
Indices after standardization are weighted summation, calculate the service-aware score of the base station by weight.
Further according to the correspondence of grid and base station, summarizes the service-aware score of whole base stations in grid, be averaged
Integrated service as the grid perceives score.
Step 306, for all base stations, to progress such as every network quality index-station spacing, the weak covering sampling ratios of MR
Standardization, unified metric order of magnitude range, and calculate the entropy weight of every network quality index.The bigger index of entropy is discrete
Degree is bigger, and experience performance is more unstable, the weight of corresponding index also higher.
Step 307, the all-network quality index within the scope of grid is standardized, and combines step 306 true
Fixed index weights are weighted summation, the synthesis matter as the grid to every network quality index after standardization
Figureofmerit score.
Step 308, according to formula：Comprehensive quality index/(comprehensive customer value * 50%+ integrated services perception * 50%), meter
The Internet resources calculated in particular grid launch overall merit score.
Step 309, the base station quality index specified in grid is inputted, is referred to all kinds of quality according to Network Optimization Strategy rule
Mark carries out regularization processing, and being formed can be by rule condition format that Expert Rules engine identifies.
Wherein, base station quality index refers to that integrated service perceives score, comprehensive quality index score and comprehensive value index,
And calculate the detailed index of these scores.These indexs will be used as rule condition, match and trigger expert opinion.
The basic format of rule condition：
Matching condition 1and/or matching conditions 2 ... and/or matching condition N=s >Expert diagnosis suggestion；Wherein match item
Part basic format is " index name { relational operator } metrics-thresholds ", relational operator Bao Kuo >,=,<Deng arrow=>It indicates to derive
Go out.
Typical rule has：
Base station MR counts the flat sampled point Zhan Bi > of light current;5%=>The base station is the weak coverage base stations of MR；
The weak coverage base stations of MR/grid Ji Zhanzongshuo > in grid;50%=>The weak coverage base station ratio of the grid is excessively high；
Grid station spacing;750 meters of (physical region average value)=>The grid station spacing is excessive.
Step 310, Expert Rules engine handles the base station condition in the grid of input, traverses network optimisation strategy
Rule tree in library, and extract the policy depiction for meeting rule condition.
Step 311, template is showed according to preset description, the policy depiction of splicing Expert Rules engine output forms needle
To the network optimization diagnostic recommendations of particular grid.So far, whole flows are finished.
The embodiment of the present invention provide it is a kind of realizing the mobile device of the network optimization, as shown in Fig. 2, including：
Wireless communication unit 20 realizes the data transmission with server for accessing wireless Internet；
Service-aware collecting unit 21, for accessing wireless Internet by the wireless communication unit, and according to business
Service-aware data during type records respective session, by service-aware data transmission to network optimization service device；
Grid coverage evaluating based on map shows unit 24, for map layer to be divided into grid according to longitude and latitude,
And the Internet resources of the grid provided according to network optimization service device launch the height of overall merit score, fill corresponding light and shade journey
The color lump of degree；
Internet resources input diagnostic result shows unit 25, what the expert system rule engine for display server exported
Optimized Diagnosis suggestion.
As shown in Figure 1, in mobile device 2,
Wireless communication unit 20, including：Wireless transmission interface module 22 and USB data interface module 23.
Service-aware collecting unit 21, for passing through simulation browser, ftp client, video player, Email client
The client softwares such as end generate service conversation request, and unit 20 accesses wireless Internet by radio communication, and according to business kind
Class records service-aware data as shown in Table 1 during respective session.Achievement data is cached in mobile device 2, and can
Selection is wirelessly or USB modes import network optimization service device 1.
Grid coverage evaluating based on map shows unit 24, for being based on map layer, according to longitude and latitude by Map
Layer is divided into grid, and according to the assessing network index height of grid, fills the color lump of corresponding bright-dark degree.Assessing network index
Client perception, customer value, network quality and overall merit can be selected, grid color is deeper, and index score is lower.
Internet resources input diagnostic result shows unit 25, for being advised by the expert system of written form display server
The then Optimized Diagnosis suggestion of engine output.
Wireless transmission interface module 22 is a simplified wireless communication unit, and limitation carries out dial-up, for wireless
Data traffic business, mobile device 2 are exchanged data with server 1 using this wireless transmission interface module 22 and carry out internet
Business experience is tested.
USB data interface module 23, it is contemplated that in actual use, mobile device possibly into the poor region of the network coverage,
Lead to not carry out real-time data exchange by wireless transmission interface module 22 and server, therefore USB data interface mould is set
Block 23 assesses the prior importing of diagnostic message for realizing server, and open air is supported to use on the spot in a manner of wrapping offline.
The embodiment of the present invention provides a kind of system for realizing the network optimization, as shown in figure 4, including：Network optimization service device
1, mobile device 2 and base station；
Network optimization service device 1 includes：
Data acquisition unit 11, for acquisition and storage service perception data, network performance data and business use number
According to；
Grid service-aware computing unit 13 determines different business sense for being based on service-aware data according to Information Entropy
Know the business entropy weight of index, and calculates the integrated service perception score of different grids according to the correspondence of base station and grid；
Grid covering quality computing unit 14 determines different performance for being based on network performance data according to Information Entropy
Performance weights, and calculate according to the correspondence of base station and grid the comprehensive quality index score of different grids；
Grid value index computing unit 15 determines different for using data based on business according to expert graded
Business uses the dimension weight of dimension, and the comprehensive value for calculating according to the correspondence of base station and grid different grids refers to
Mark；
Diagnosis unit 16 is assessed in the network coverage automatically, is referred to for the integrated service perception score using grid, comprehensive quality
Score and comprehensive value index are marked, it is comprehensive to determine that the Internet resources of grid network coverage optimization are launched using expert system rule engine
Evaluation score is closed, corresponding Optimized Diagnosis suggestion is matched；
Mobile device 2, the height for launching overall merit score according to the Internet resources of grid fill corresponding light and shade journey
The color lump of degree；And the Optimized Diagnosis suggestion of the expert system rule engine output of display server.
In a preferred embodiment, in network optimization service device：
Data acquisition unit includes：
Network optimization system module is acquired, for obtaining the service-aware data from network optimization system；
Customer service system module is acquired, for obtaining customer complaint information as the service-aware data from customer service system；
Network management system module is acquired, for obtaining network coverage relevant configuration and prison from network management system with the frequency of day or the moon
Data are controlled as the network performance data；
Capturing service uses data module, for obtaining institute from manageming contacts CRM, business operation support system BOSS
It states business and uses data；
Operation analysis system module is acquired, for obtaining refined user group information as the business from operation analysis system
Use data；
The grid service-aware computing unit includes：
Service-aware standardized module, for being directed to all base stations, the every service-aware for including to service-aware data
Index is standardized, and uniform traffic perceives the order of magnitude range of index；
Service-aware entropy weight module, the entropy weight for calculating every service-aware index, the bigger service-aware of entropy weight refer to
Target dispersion is bigger, shows that this service-aware index is more unstable, is arranged according to the sequence of unstable degree from high to low
The weight of corresponding service-aware index is from high to low；
Base station integrated service sensing module, for for first base station, based on the entropy weight of every service-aware index, to the
Every service-aware index weighted sum after the standardization of one base station obtains the service-aware score of the first base station；
Grid integrated service sensing module summarizes whole base stations in grid for the correspondence according to grid and base station
Service-aware score, be averaged as the grid integrated service perceive score
The grid covering quality computing unit includes：
Network quality standardized module, for for all base stations, being standardized to every network quality index,
The order of magnitude range of Unified Network quality index；
Network quality entropy weight module, the entropy weight for calculating each index, the dispersion of the bigger network quality index of entropy weight
It is bigger, show that this network quality index is more unstable, corresponding network is set according to the sequence of unstable degree from high to low
The weight of quality index is from high to low；
Base station Quality Calculation Module is used for for first base station, based on the entropy weight of every network quality index, to the first base
Every network quality index weighted sum after the standardization stood obtains the network quality score of the first base station；
Grid Quality Calculation Module summarizes the net of whole base stations in grid for the correspondence according to grid and base station
Network quality score is averaged the integrated network quality score as the grid.
In a preferred embodiment, in network optimization service device, the network coverage assesses diagnosis unit and includes automatically：
Internet resources launch overall merit module, for according to formula
Comprehensive quality index score/(comprehensive value index * 50%+ integrated services perceive score * 50%), calculates a grid
The Internet resources of lattice launch overall merit score.
It is using the advantage after this programme：In server side, it is based on service-aware data, network performance data and industry
It make sures and uses data, integrated service perception, comprehensive quality index and comprehensive valence are established according to Information Entropy or expert graded etc.
It is worth index, expert system rule engine is recycled to determine that the pressing degree grade of grid network coverage optimization, matching are corresponding excellent
Change diagnostic recommendations, whole process participates in without artificial, automatically formed Optimized Diagnosis suggestion, realized the dispensing of Internet resources.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principles of the present invention, it can also make several improvements and retouch, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (12)
1. a kind of network optimization service device, which is characterized in that including：
Data acquisition unit, for acquisition and storage service perception data, network performance data and business use data；
Grid service-aware computing unit determines that different business perceives index for being based on service-aware data according to Information Entropy
Business entropy weight, and calculate according to the correspondence of base station and grid the integrated service perception score of different grids；
Grid covering quality computing unit determines that the performance of different performance is weighed for being based on network performance data according to Information Entropy
Again, and according to the correspondence of base station and grid the comprehensive quality index score of different grids is calculated；
Grid value index computing unit determines that different business makes for using data based on business according to expert graded
With the dimension weight of dimension, and calculate according to the correspondence of base station and grid the comprehensive value index of different grids；
Diagnosis unit is assessed in the network coverage automatically, for integrated service perception score, the comprehensive quality index score using grid
With comprehensive value index, determine that the Internet resources of grid network coverage optimization launch overall merit using expert system rule engine
Score matches corresponding Optimized Diagnosis suggestion.
2. server according to claim 1, which is characterized in that further include：
Internet service experiences acquisition interface, the service-aware data for receiving mobile device acquisition.
3. server according to claim 1, which is characterized in that data acquisition unit includes：
Network optimization system module is acquired, for obtaining the service-aware data from network optimization system；
Customer service system module is acquired, for obtaining customer complaint information as the service-aware data from customer service system；
Network management system module is acquired, for obtaining network coverage relevant configuration and monitoring number from network management system with the frequency of day or the moon
According to as the network performance data；
Capturing service uses data module, for obtaining the industry from manageming contacts CRM, business operation support system BOSS
It make sures and uses data；
Operation analysis system module is acquired, is used as the business for obtaining refined user group information from operation analysis system
Data.
4. server according to claim 1, which is characterized in that the grid service-aware computing unit includes：
Service-aware standardized module, for being directed to all base stations, the every service-aware index for including to service-aware data
It is standardized, uniform traffic perceives the order of magnitude range of index；
Service-aware entropy weight module, the entropy weight for calculating every service-aware index, the bigger service-aware index of entropy weight
Dispersion is bigger, shows that this service-aware index is more unstable, is arranged according to the sequence of unstable degree from high to low and corresponds to
Service-aware index weight from high to low；
Base station integrated service sensing module is used for for first base station, based on the entropy weight of every service-aware index, to the first base
Every service-aware index weighted sum after the standardization stood obtains the service-aware score of the first base station；
Grid integrated service sensing module summarizes the industry of whole base stations in grid for the correspondence according to grid and base station
Business perception score, is averaged and perceives score as the integrated service of the grid.
5. server according to claim 1, which is characterized in that the grid covering quality computing unit includes：
Network quality standardized module is standardized every network quality index, unification for being directed to all base stations
The order of magnitude range of network quality index；
The dispersion of network quality entropy weight module, the entropy weight for calculating each index, the bigger network quality index of entropy weight is bigger,
Show that this network quality index is more unstable, corresponding network quality, which is arranged, according to the sequence of unstable degree from high to low refers to
Target weight is from high to low；
Base station Quality Calculation Module is used for for first base station, based on the entropy weight of every network quality index, to first base station
Every network quality index weighted sum after standardization obtains the network quality score of the first base station；
Grid Quality Calculation Module summarizes the network matter of whole base stations in grid for the correspondence according to grid and base station
It measures point, is averaged the integrated network quality score as the grid.
6. server according to claim 1, which is characterized in that the grid value index computing unit includes：
Individual comprehensive value obtains sub-module, the weight of each essential attribute for predefining client using expert graded,
The individual comprehensive value score that read group total goes out client is weighted to each essential attribute；
Base station score allocation module, for by the individual comprehensive value score, occurring in first base station according to client logical
Traffic accounts for the pro rata distribution of the full period traffic to the first base station；
Comprehensive value Index module summarizes in grid and is arrived apportioned by whole base stations for the correspondence according to grid and base station
The sum of individual comprehensive value score, the comprehensive value index as the grid.
7. server according to claim 1, which is characterized in that the network coverage assesses diagnosis unit and includes automatically：
Internet resources launch overall merit module, for according to formula：
Comprehensive quality index score/(comprehensive value index * 50%+ integrated services perceive score * 50%), calculates a grid
Internet resources launch overall merit score.
8. server according to claim 1, which is characterized in that the network coverage assesses diagnosis unit and includes automatically：
Regularization module, for according to Network Optimization Strategy rule by integrated service perceive score, comprehensive quality index score and
Comprehensive value index carries out regularization processing, forms the rule condition that can be identified by Expert Rules engine；
Expert engine module, is used for the rule condition of the grid according to input, and the rule tree in traverses network optimisation strategy library carries
Take the policy depiction for meeting rule condition；
Policy depiction module, for showing template, the policy depiction of splicing Expert Rules engine output, shape according to preset description
At the Optimized Diagnosis suggestion for different grids.
9. a kind of mobile device for realizing the network optimization, which is characterized in that including：
Wireless communication unit realizes the data transmission with server for accessing wireless Internet；
Service-aware collecting unit for accessing wireless Internet by the wireless communication unit, and is remembered according to type of business
The service-aware data during respective session are recorded, by service-aware data transmission to server；
Grid coverage evaluating based on map shows unit, for map layer to be divided into grid according to longitude and latitude, and according to
The Internet resources for the grid that network optimization service device provides launch the height of overall merit score, fill the color of corresponding bright-dark degree
Block；
Internet resources input diagnostic result shows unit, and the optimization that the expert system rule engine for display server exports is examined
It is disconnected to suggest.
10. a kind of system for realizing the network optimization, which is characterized in that including：Network optimization service device and mobile device；
Network optimization service device includes：
Data acquisition unit, for acquisition and storage service perception data, network performance data and business use data；
Grid service-aware computing unit determines that different business perceives index for being based on service-aware data according to Information Entropy
Business entropy weight, and calculate according to the correspondence of base station and grid the integrated service perception score of different grids；
Grid covering quality computing unit determines that the performance of different performance is weighed for being based on network performance data according to Information Entropy
Again, and according to the correspondence of base station and grid the comprehensive quality index score of different grids is calculated；
Grid value index computing unit determines that different business makes for using data based on business according to expert graded
With the dimension weight of dimension, and calculate according to the correspondence of base station and grid the comprehensive value index of different grids；
Diagnosis unit is assessed in the network coverage automatically, for integrated service perception score, the comprehensive quality index score using grid
With comprehensive value index, determine that the Internet resources of grid network coverage optimization launch overall merit using expert system rule engine
Score matches corresponding Optimized Diagnosis suggestion；
Mobile device, the height for launching overall merit score according to the Internet resources of grid fill corresponding bright-dark degree
Color lump；And the Optimized Diagnosis suggestion of the expert system rule engine output of display server.
11. system according to claim 10, which is characterized in that in network optimization service device：
Data acquisition unit includes：
Network optimization system module is acquired, for obtaining the service-aware data from network optimization system；
Customer service system module is acquired, for obtaining customer complaint information as the service-aware data from customer service system；
Network management system module is acquired, for obtaining network coverage relevant configuration and monitoring number from network management system with the frequency of day or the moon
According to as the network performance data；
Capturing service uses data module, for obtaining the industry from manageming contacts CRM, business operation support system BOSS
It make sures and uses data；
Operation analysis system module is acquired, is used as the business for obtaining refined user group information from operation analysis system
Data；
The grid service-aware computing unit includes：
Service-aware standardized module, for being directed to all base stations, the every service-aware index for including to service-aware data
It is standardized, uniform traffic perceives the order of magnitude range of index；
Service-aware entropy weight module, the entropy weight for calculating every service-aware index, the bigger service-aware index of entropy weight
Dispersion is bigger, shows that this service-aware index is more unstable, is arranged according to the sequence of unstable degree from high to low and corresponds to
Service-aware index weight from high to low；
Base station integrated service sensing module is used for for first base station, based on the entropy weight of every service-aware index, to the first base
Every service-aware index weighted sum after the standardization stood obtains the service-aware score of the first base station；
Grid integrated service sensing module summarizes the industry of whole base stations in grid for the correspondence according to grid and base station
Business perception score, is averaged and perceives score as the integrated service of the grid；
The grid covering quality computing unit includes：
Network quality standardized module is standardized every network quality index, unification for being directed to all base stations
The order of magnitude range of network quality index；
The dispersion of network quality entropy weight module, the entropy weight for calculating each index, the bigger network quality index of entropy weight is bigger,
Show that this network quality index is more unstable, corresponding network quality, which is arranged, according to the sequence of unstable degree from high to low refers to
Target weight is from high to low；
Base station Quality Calculation Module is used for for first base station, based on the entropy weight of every network quality index, to first base station
Every network quality index weighted sum after standardization obtains the network quality score of the first base station；
Grid Quality Calculation Module summarizes the network matter of whole base stations in grid for the correspondence according to grid and base station
It measures point, is averaged the integrated network quality score as the grid.
12. system according to claim 10, which is characterized in that in network optimization service device, the network coverage is assessed automatically
Diagnosis unit includes：
Internet resources launch overall merit module, for according to formula：
Comprehensive quality index score/(comprehensive value index * 50%+ integrated services perceive score * 50%), calculates a grid
Internet resources launch overall merit score.
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