CN103501503B - A kind of network problem analysis method and apparatus - Google Patents
A kind of network problem analysis method and apparatus Download PDFInfo
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Abstract
The invention provides a kind of network problem analysis method and apparatus, wherein, network problem analysis method includes: use shell script determines N number of community that the Key Performance Indicator of generation network problem is worst；Wherein, N is the natural number more than or equal to 1；Use shell script to obtain service interaction message data corresponding with Key Performance Indicator in N number of community, and service interaction message data is saved as the N number of CDL file corresponding with N number of community；Call CDL analytical tool by shell script the service interaction message data preserved in N number of CDL file is resolved, determine the abnormal traffic in N number of CDL file；According to setting rule, abnormal traffic is analyzed, determines the producing cause of abnormal traffic.Pass through the application, it is possible to meet fast lifting network performance and the target of quality that network optimization needs reach.
Description
Technical field
The present invention relates to communication technical field, particularly relate to a kind of network problem analysis method and apparatus.
Background technology
Network quality is the life line of network operation, and basic network optimization is an up the core of network quality.Along with the whole nation
15 TD-LTE(Time Division Long Term Evolution, time-division Long Term Evolution) network size try net city
Being gradually completing of networking, the network optimization in each pilot test net city is the most actively launched.
KPI(Key Performance Indicator, Key Performance Indicator) extraction and analysis be network optimization
In the most important thing.The KPI that TD-LTE system is paid close attention to mainly includes following several big class: access property index, retentivity index, movement
Property index, portfolio index and network resource utilization index etc..By the monitoring of the KPI index to communication network, Ke Yida
Arrive: identify network performance bursting problem；Network failure and network quality are declined equivalent risk give warning in advance；Ensure network KPI
Stepping up of the stable and network performance quality of index.
At present, a kind of the method for the network optimization is carried out according to KPI as it is shown in figure 1, the method comprises the following steps:
Step S102: determine that the network optimization is correlated with KPI index.
Step S104: network optimization personnel, at OMC(Operation and Maintenance Center, operate and tie up
Protect center) upper KPI indicator template of formulating, the KPI index of extraction the whole network every day, after preliminary analysis, determine and need emphasis optimization to change
The KPI index entered.
Step S106: extract the index of the corresponding cell-level of KPI index that fixed emphasis needs to optimize.And use
Community and its corresponding index of extraction are added up by EXCEL table, determine worst TopN community.
Step S108: network optimization personnel extract the CDL(Call Detail Log of TopN community, the detailed level of service call
Daily record) daily record, alarm log etc. be optimized case study, provides optimization problem analysis report and solution.
Step S110: network optimization personnel by base station troubleshooting and system optimization, implement Optimal improvements with reference to prioritization scheme
Verify with test, and complete detailed complete optimal enforcement daily record.
Step S112: by optimizing the means micro-tensioning system such as system control parameters and cell selection parameters.Contrast verification is excellent
Data before and after change, complete network optimization final report and the accumulation of network optimization case.
But, during using above-mentioned network optimized approach to carry out the network optimization, analysis network problem, first, many
Link, such as the KPI index extraction of the whole network level every day and preliminary analysis, the KPI index extraction of cell-level and sorts to KPI index
Determine that the work of Top worst cell all needs network optimization personnel to complete；Secondly, during network O&M, due to OMC
Operating maintenance terminal limited amount, optimization personnel operationally between extract relevant CDL daily record and the alarm of worst TopN community
During daily record, the regular job of network and maintenance can be brought certain negative effect.Furthermore, in CDL daily record, quantity of information is very big,
When CDL daily record is resolved, need network optimization personnel directly CDL daily record to be analyzed, so, not only require network
Optimization personnel have the highest service technique ability, and simultaneously with greater need for devoting a tremendous amount of time, positioning problems and analysis efficiency are low, nothing
Method meets fast lifting network performance and the target of quality that network optimization needs reach.
Summary of the invention
The invention provides a kind of network problem analysis method and apparatus, existing to network problem analysis process to solve
In, network problem analysis efficiency is low, it is impossible to meet fast lifting network performance that network optimization needs reach and quality
The problem of target.
In order to solve the problems referred to above, the invention discloses a kind of network problem analysis method, including: use shell script true
N number of community that the Key Performance Indicator of the raw network problem of fixed output quota is worst；Wherein, N is the natural number more than or equal to 1；Use institute
State shell script and obtain service interaction message data corresponding with described Key Performance Indicator in described N number of community, and by described
Service interaction message data saves as the N number of CDL file corresponding with described N number of community；CDL is called by described shell script
The described service interaction message data preserved in described N number of CDL file is resolved by analytical tool, determines described N number of CDL literary composition
Abnormal traffic in part；According to setting rule, described abnormal traffic is analyzed, determines the producing cause of described abnormal traffic.
Preferably, described by described shell script call CDL analytical tool in described N number of CDL file preserve institute
State service interaction message data to carry out analyzing step and include: call CDL analytical tool by described shell script, it is judged that described N
The execution of every the service interaction message preserved in individual CDL file is the most normal；Abnormal service interaction message pair will be performed
The business answered is defined as abnormal traffic.
Preferably, described according to set rule described abnormal traffic is analyzed, determine the generation of described abnormal traffic
Reason step includes: each concrete business datum corresponding to service interaction message abnormal to described execution is analyzed；Root
According to abnormal traffic data and the corresponding relation of service exception reason of storage, by former with described service exception for the result of described analysis
Because matching, determine the service exception reason that business corresponding to service interaction message abnormal with described execution matches.
Preferably, after the step of the described producing cause determining described abnormal traffic, also include: obtain described exception
The service exception information of business, wherein, described service exception information includes: the terminal of service exception, the mark of described terminal occur
When event before knowledge, the community of service exception generation, the time of service exception generation, service exception generation, service exception occur
Concrete business datum；Show described service exception information, select for user and check.
Preferably, after the step of the service exception information of the described abnormal traffic of described acquisition, also include: according to determining
Described service exception reason and described service exception information, according to matched rule from storage abnormal traffic positioning problems suggestion
Information in obtain solve described abnormal traffic suggestion；Described display described service exception information, for user select check and
The step browsed includes: shows described service exception information and solves the suggestion of described abnormal traffic, selects for user and check.
In order to solve the problems referred to above, the invention also discloses a kind of network problem analysis device, comprise determining that module, use
N number of community that the Key Performance Indicator of network problem is worst is produced in using shell script to determine；Wherein, N is more than or equal to 1
Natural number；First acquisition module, is used for using described shell script to obtain in described N number of community and refers to described key performance
The service interaction message data that mark is corresponding, and described service interaction message data is saved as the N corresponding with described N number of community
Individual CDL file；First parsing module, for calling CDL analytical tool in described N number of CDL file by described shell script
The described service interaction message data preserved resolves, and determines the abnormal traffic in described N number of CDL file；Second resolves mould
Block, for being analyzed described abnormal traffic according to setting rule, determines the producing cause of described abnormal traffic.
Preferably, described first parsing module includes: judge submodule, solves for calling CDL by described shell script
Analysis instrument, it is judged that the execution of every the service interaction message preserved in described N number of CDL file is the most normal；Determine submodule, use
In the business performing abnormal service interaction message corresponding is defined as abnormal traffic.
Preferably, described abnormal traffic is being analyzed by described second parsing module according to setting rule, determines described
During the producing cause of abnormal traffic: each concrete business datum corresponding to service interaction message abnormal to described execution is carried out
Analyze；Abnormal traffic data according to storage and the corresponding relation of service exception reason, by the result of described analysis and described industry
Business abnormal cause matches, and determines the service exception that business corresponding to service interaction message abnormal with described execution matches
Reason.
Preferably, described network problem analysis device also includes: the second acquisition module, at described second parsing module
After determining the producing cause of described abnormal traffic, obtaining the service exception information of described abnormal traffic, wherein, described business is different
Often information includes: community, service exception generation that the terminal of service exception, the mark of described terminal, service exception occur occur
Time, service exception occur before event, service exception occur time concrete business datum；Display module, is used for showing institute
State service exception information, select for user and check.
Preferably, described network problem analysis device also includes: the 3rd acquisition module, at described second acquisition module
After obtaining the service exception information of described abnormal traffic, believe according to the described service exception reason determined and described service exception
Breath, obtains from the information of the abnormal traffic positioning problems suggestion of storage according to matched rule and solves building of described abnormal traffic
View；Described display module is showing described service exception information, when selecting for user and check: show described service exception information
With the suggestion of the described abnormal traffic of solution, select for user and check.
Compared with prior art, the invention have the advantages that
The network problem analysis method and apparatus that the present invention provides, is being analyzed process to the reason producing network problem
In, first, use shell script to be got up by the process conformity that each is independent, when the reason of location generation network problem successively certainly
Dynamicization realizes each process, without human intervention, is greatly saved and realizes cost, improves case study and location efficiency；
Secondly, use shell script to automatically determine and produce N number of community that the Key Performance Indicator of network problem is worst, the most existing complete
The full screening technique relying on network optimization personnel to screen worst N number of community, reduces the input of manpower, improves screening effect
Rate, effectively reduces the cost of the network optimization；Use shell script only extract in N number of community with produce network problem key
Can service interaction message data corresponding to index, generate N number of CDL file so that follow-up carry out the network problem analysis of causes and
During location, the data of use are few and more targeted, it is possible to effectively promote data analysis and process efficiency, and then raising network is asked
The topic analysis of causes and the efficiency of location；The CDL analytical tool matched with CDL file is called to above-mentioned CDL by shell script
The service interaction message data preserved in file resolves, and analyzes all of abnormal traffic, determines what abnormal traffic produced
Reason, during the most existing Multi net voting case study, fully relies on network optimization personnel directly a large amount of in CDL file
Information is analyzed, and therefrom obtains abnormal traffic and abnormal Producing reason, not only saves human cost, in hgher efficiency, it is possible to
Quickly problem is positioned, and analyze and the accuracy also significantly larger than manual operation of location.In a word, the present invention is used
In network problem analysis methods analyst efficiency high, it is possible to meet the fast lifting network performance that network optimization needs reach
Target with quality.
Accompanying drawing explanation
Fig. 1 is a kind of flow chart of steps carrying out network optimized approach according to KPI of the prior art；
Fig. 2 is the flow chart of steps of a kind of network problem analysis method of the embodiment of the present invention one；
Fig. 3 is the flow chart of steps of a kind of network problem analysis method of the embodiment of the present invention two；
Fig. 4 is the flow chart of steps of a kind of network problem analysis method of the embodiment of the present invention three；
Fig. 5 is the structured flowchart of a kind of network problem analysis device of the embodiment of the present invention four.
Detailed description of the invention
Understandable for enabling the above-mentioned purpose of the present invention, feature and advantage to become apparent from, real with concrete below in conjunction with the accompanying drawings
The present invention is further detailed explanation to execute mode.
Embodiment one
With reference to Fig. 2, it is shown that the flow chart of steps of a kind of network problem analysis method of the embodiment of the present invention one.
The network problem analysis method step of the present embodiment is as follows:
Step S202: use shell script determines N number of community that the Key Performance Indicator of generation network problem is worst；Its
In, N is the natural number more than or equal to 1.
The KPI that the TD-LTE system network optimization at present is paid close attention to mainly includes following several big class: access property index, retentivity refer to
Mark, mobility index, portfolio index and Internet resources index.By the detection of the KPI index to system, can reach: know
Other network performance bursting problem；Network failure and network quality are declined equivalent risk give warning in advance；Logistics networks KPI index
Stable stepping up with network performance quality.Concrete KPI index corresponding to above-mentioned several big class KPI index is as shown in table 1 below.
Table 1
Number N of the present embodiment small area can be appropriately arranged with according to demand by those skilled in the art, can be one,
Can also be any appropriate number, as five, ten the most, the invention is not limited in this regard.Determining the number of community
The network problem that Shi Yineng reflection produces is for determining foundation.
When the Key Performance Indicator producing network problem is analyzed, except being analyzed in units of community
Outward, it is also possible to select the community that some network problem is serious, each terminal in community is analyzed, that is, with terminal
It is analyzed for unit.
A kind of preferred version determining the worst N number of community of Key Performance Indicator producing network problem is: be first depending on
The network problem that base station is paid close attention at present, determines the KPI index relevant to network problem.Such as: at the initial stage of building a station, emphasis closes
Note is the foundation of service connection between terminal and base station, then it is determined that access property index, retentivity index, mobility refer to
It is designated as the index classification that the network optimization is paid close attention to, correspondingly determines that the analysis of attaching most importance to of concrete KPI index corresponding to each index classification refers to
Mark, such as: RRC is created as power, E-RAB is created as the index such as power, wireless percent of call completed.Relevant to the network optimization determining
After KPI index, the above-mentioned KPI index extracting the whole network every day contrasts, and therefrom selects one or more variation tendency bright
Aobvious KPI index.Extract the above-mentioned variation tendency obvious KPI index of each community, be ranked up, select KPI index worst
N number of community, analyze further the concrete reason causing network problem.
Step S204: use shell script to obtain service interaction message count corresponding with Key Performance Indicator in N number of community
According to, and service interaction message data is saved as the N number of CDL file corresponding with N number of community.
Traditional CDL file is base station such as ENB(Evolved Node B, evolved base station) detect network fortune for convenience
Market condition, review orientation problem, and a kind of daily record developed.The service interaction data preserved in CDL file describe substantial amounts of
UE(User Equipment, subscriber equipment) such as mobile phone terminal when there is business, event on SI/X2/Uu interface,
And in inside of base station event.Carry out whole relevant information data of business except comprising UE in base station, also comprise net
Whole signalings and business datum, i.e. network side that network is surveyed have received any signaling, issued what signaling and business datum is all wrapped
It is contained in CDL file.And in the present embodiment, the data in above-mentioned traditional CDL have been carried out second extraction process, through extracting
CDL file after process only saves extracted from traditional CDL file by shell script with the key paid close attention to
The service interaction message data that performance indications are corresponding, the relatively conventional CDL file of quantity of information is much smaller.To these CDL literary compositions
When data in part are analyzed, data volume is few and more targeted, it is possible to effectively promote data analysis and process efficiency, and then
Improve the network problem analysis of causes and the efficiency of location.
Step S206: call the CDL analytical tool service interaction message to preserving in N number of CDL file by shell script
Data resolve, and determine the abnormal traffic in N number of CDL file；According to setting rule, abnormal traffic is analyzed, determines different
The producing cause of regular profession business.
In the present embodiment, CDL analytical tool is the instrument that matches of CDL file generated with step S204, for for
The CDL file generated in the present embodiment is analyzed.First this CDL analytical tool loads the CDL file generated in the present embodiment,
Then the interaction message of each business in CDL file is analyzed, analyzes the generation of abnormal traffic and abnormal traffic
Reason, and also analysis result can be presented with interface form, optimize personnel for subsequent network and check and browse.Use
Service interaction message data in CDL file is resolved by CDL analytical tool, can provide to network optimization personnel intuitively
Quickly find and solve the reference of network problem.
It should be noted that the Key Performance Indicator producing network problem is probably one, it is also possible to multiple.Work as generation
When the Key Performance Indicator of network problem has multiple, the scheme of the present embodiment can be used one by one each Key Performance Indicator to be entered
Row is analyzed, and is respectively directed to each Key Performance Indicator and provides analysis result；Can also layout order or concurrently to multiple keys
Performance indications are analyzed simultaneously, are respectively directed to each Key Performance Indicator and provide analysis result.
The network problem analysis method provided by the present embodiment, is being analyzed process to the reason producing network problem
In, first, use shell script to be got up by the process conformity that each is independent, when the reason of location generation network problem successively certainly
Dynamicization realizes each process, without human intervention, is greatly saved and realizes cost, improves case study and location efficiency；
Secondly, use shell script to automatically determine and produce N number of community that the Key Performance Indicator of network problem is worst, the most existing complete
The full screening technique relying on network optimization personnel to screen worst N number of community, reduces the input of manpower, improves screening effect
Rate, effectively reduces the cost of the network optimization；Use shell script only extract in N number of community with produce network problem key
Can service interaction message data corresponding to index, generate N number of CDL file so that follow-up carry out the network problem analysis of causes and
During location, the data of use are few and more targeted, it is possible to effectively promote data analysis and process efficiency, and then raising network is asked
The topic analysis of causes and the efficiency of location；The CDL analytical tool matched with CDL file is called to above-mentioned CDL by shell script
The service interaction message data preserved in file resolves, and analyzes all of abnormal traffic, determines what abnormal traffic produced
Reason, during the most existing Multi net voting case study, fully relies on network optimization personnel directly a large amount of in CDL file
Information is analyzed, and therefrom obtains abnormal traffic and abnormal Producing reason, in hgher efficiency, it is possible to it is fixed to carry out problem faster
Position, and analyze and the accuracy also significantly larger than manual operation of location.In a word, the network problem analysis side in the present invention is used
Method analysis efficiency is high, it is possible to meet fast lifting network performance and the target of quality that network optimization needs reach.
Embodiment two
With reference to Fig. 3, it is shown that the flow chart of steps of a kind of network problem analysis method of the embodiment of the present invention two.
The network problem analysis method of the present embodiment specifically comprises the following steps that
Step S302: use shell script determines N number of community that the Key Performance Indicator of generation network problem is worst；Its
In, N is the natural number more than or equal to 1.
It should be noted that determine that the purpose of the worst N number of community of Key Performance Indicator producing network problem is, in order to
With this N number of community for analyzing object, analyze end side in N number of community with network side service interaction message count time mutual
According to, from business interaction message data, analyze abnormal traffic, and abnormal traffic Producing reason.Community number N can be by
Those skilled in the art are appropriately arranged with according to demand, can be one, it is also possible to be any appropriate number.Determining the individual of community
During number, the number of the community to choose can reflect that the main cause producing network problem is as foundation.
Shell script can be realized by any appropriate languages, as compiled with c language or Python or other language
Realistic existing.
A kind of shell script that is preferably used determines the side of the worst N number of community of Key Performance Indicator producing network problem
Case is as follows:
Shell script every day (such as 0:00-9:00) on one's own time is used to extract the relevant KPI index of the whole network；By one
Periodically the relevant KPI index of the whole network of the every day in such as a week in limit compares.Such as relevant KPI index is for accessing
Property index classification under concrete KPI index: RRC is created as power, E-RAB is created as power, determines the KPI index of substantially variation
Attach most importance to analyze KPI index, such as RRC is created as power；The RRC extracting each community of the whole network is created as power, and each is little
The RRC in district is created as power and is ranked up, and selects RRC to be created as N number of community that power is minimum.
Step S304: use shell script to obtain service interaction message count corresponding with Key Performance Indicator in N number of community
According to, and service interaction message data is saved as the N number of CDL file corresponding with N number of community.
After determining N number of community that Key Performance Indicator is worst, extract the cell information of N number of community, believe according to community
Cease and extract and Key Performance Indicator pair from other daily record of works such as the corresponding CDL file of community, alarm log, device log
The service interaction message data answered.
Step S306: call the CDL analytical tool service interaction message to preserving in N number of CDL file by shell script
Data resolve, and determine the abnormal traffic in N number of CDL file.
Preferably, called by shell script CDL analytical tool to N number of CDL file in preserve service interaction message
When data resolve, CDL analytical tool is by judging that the execution of every the service interaction message preserved in N number of CDL file is
No normally；The business performing abnormal service interaction message corresponding is defined as abnormal traffic, so that it is determined that N number of CDL file
In abnormal traffic.
Such as: under normal circumstances, RRC connection procedure need to carry out between UE and ENB three times mutual, including: UE sends out to ENB
REQUEST asks, and request is set up RRC and connected；When Internet resources abundance, ENB replys SETUP message to UE, agrees to set up RRC
Connect；UE returns successful RESPONSE message to ENB, is successfully established RRC and connects.But, the RRC preserved in CDL file is even
The interaction connect includes: UE sends out REQUEST request to ENB；ENB to UE reply be not SETUP message and other unsuccessfully disappear
Breath, then can determine that business corresponding to this service interaction message is abnormal traffic, namely this RRC connect occur abnormal.
Step S308: according to setting rule, abnormal traffic is analyzed, determines the producing cause of abnormal traffic.
Preferably, abnormal traffic is being analyzed, can be in the following manner when determining abnormal traffic Producing reason
Realize: each the concrete business datum performing abnormal service interaction message corresponding is analyzed；Different according to store
Often business datum and the corresponding relation of service exception reason, match the result of analysis with service exception reason, determine and hold
The service exception reason that row business corresponding to abnormal service interaction message matches.
Preserving the corresponding relation of abnormal traffic data and service exception reason in CDL analytical tool, this relation indicates
Various abnormal traffic interaction message and/or the reason of abnormal traffic data occur.According to this corresponding relation, by abnormal traffic analysis
Result match with service exception reason, i.e. can determine that service exception reason.
Such as: CDL analytical tool parses a certain UE and occurs in that exception setting up when RRC is connected with base station, then by right
The service interaction message that this RRC connects is analyzed.Occur that the interaction message that abnormal RRC connects is: UE sends out to ENB
REQUEST asks；ENB is not SETUP message and other failed messages to what UE replied, different with business according to abnormal traffic data
Often the corresponding relation of reason, matches this failure interaction message with service exception reason, i.e. can determine that the industry of this abnormal traffic
Business abnormal cause is the service exception that ENB side reason causes.
Step S310: obtain the service exception information of abnormal traffic.
Wherein, service exception information includes: occur that the terminal of service exception, the mark of terminal, service exception occur little
District, service exception occur time, service exception occur before event, service exception occur time concrete business datum.CDL solves
Analysis instrument can show this information after the service exception information obtaining abnormal traffic, selects for user and checks.
Step S312: according to the service exception reason determined and service exception information, different from store according to matched rule
The information of regular profession business positioning problems suggestion obtains the suggestion solving abnormal traffic.
During the solution suggestion of the abnormal traffic in obtaining N number of CDL file, first, obtain the business of abnormal traffic
Abnormal cause and service exception information；Then, with storage abnormal traffic positioning problems suggestion information mate, obtain with
The abnormal traffic positioning problems suggestion that this service exception reason matches.Such as: when determining that a certain RRC sets up service exception, obtain
The service exception information taking this business is: UE sends out REQUEST request to ENB, and ENB does not return message.Wherein, UE to
ENB sends out the event before REQUEST request occurs for service exception, and ENB does not return when message is service exception generation
By the two information, concrete business datum, may determine that service exception reason is that upward signal disturbs；So different from store
The information that regular profession business positioning problems is advised is searched the solution suggestion mated with upward signal interference, obtains solution upward signal and do
Disturbing suggestion is the investigation carrying out upward signal.Wherein, abnormal traffic positioning problems suggestion information can by staff for
Some easily occur abnormal KPI statistical value that solution suggestion is previously set, and are stored in CDL analytical tool.Certainly, CDL resolves
Instrument can also be obtained from third-party application by other approach, and then provides suggestion accordingly.
Step S314: display service exception information and the suggestion of solution abnormal traffic, selects for user and checks.
Wherein, the suggestion of service exception information, service exception reason and solution abnormal traffic can be with the form of Excel form
Generate information list and show, information list contains the terminal of occurred abnormal traffic in N number of CDL file, terminal
Mark, time of occurring of the community that occurs of service exception, service exception, service exception occur before event, service exception sends out
Concrete business datum, service exception reason and the suggestion of solution abnormal traffic time raw.This information list can be excellent according to network
The file path changing personnel selection and input is derived.Preferably, network optimization personnel double-click and a certain in information list business occur
Abnormal terminal, CDL analytical tool can automatic jump to show this service interaction messaging list display interface of this terminal, just
In the further more rapid analysis of network optimization personnel, position the possible cause that this service exception occurs.
Preferably, CDL analytical tool also has the function that the producing cause to abnormal traffic and abnormal traffic is added up.
Service connection in N number of CDL file is added up, obtains total degree and the abnormal traffic total degree of service connection, draw different
Regular profession business total degree accounts for the ratio of the total degree of service chaining；According to the producing cause of abnormal traffic, whole abnormal traffics are carried out
Classified statistic, obtains a variety of causes respectively and causes the number of times of abnormal traffic, and a variety of causes causes the number of times of abnormal traffic to account for
The ratio of abnormal traffic total degree；The time occurred according to the service exception in service exception information, add up each time respectively
The number of times of Duan Fasheng abnormal traffic, and each time period occur abnormal traffic number of times account for the ratio of abnormal traffic total degree also
Export above-mentioned statistical result.
The network problem analysis method provided by the present embodiment, uses shell script to automatically extract on one's own time entirely
The KPI index of each community in net, the whole network, and the CDL file of the worst N number of community of KPI index, effectively improve KPI
Index and the extraction efficiency of relevant CDL file, it is to avoid to daily when extracting KPI index and relevant CDL file between operationally
The impact of the maintenance work of network, participates in work when extracting without network optimization personnel, reduces the input of manpower.Use foot
This program only extracts service interaction message data corresponding with the Key Performance Indicator producing network problem in N number of community, generates N
Individual CDL file so that follow-up when carrying out the network problem analysis of causes and location, the data of use are few and more targeted, energy
Enough effectively lifting data analysis and process efficiency, and then improve the network problem analysis of causes and the efficiency of location.Work is resolved at CDL
Tool is pre-configured with and corresponding with each KPI index analyze and add up configuration file, provide phase for needing the KPI index analyzed
The analysis answered and statistics, call CDL analytical tool and resolve the service interaction message data in CDL file, output CDL literary composition
Abnormal traffic, the producing cause of abnormal traffic and the suggestion of solution abnormal traffic in part, it is not necessary to network optimization personnel are carried out
The analysis of CDL file, does not has too high requirement to the technical capability of network optimization personnel, improves the effect to network problem location
Rate, effectively can optimize man winding full-mesh network performance and the work efficiency of quality of service by assisted network, it is achieved that network is excellent
Change fast lifting network performance and the target of quality that job demand reaches.
Embodiment three
With reference to Fig. 4, it is shown that the flow chart of steps of a kind of network problem analysis method of the embodiment of the present invention three.
The network problem analysis method of the present embodiment specifically comprises the following steps that
Step S402: determine relevant KPI index.
The situation that network optimization personnel foundation network is current, determines issues that need special attention, and then determines that relevant KPI refers to
Mark.Such as: if in the initial stage of building a station, network optimization may focus more on the connection between terminal and base station, then just
Can determine whether that access property index, retentivity index and mobility index classification are attached most importance to analysis object, correspondingly determine above-mentioned respectively
The concrete KPI index that the index of individual classification includes, such as: RRC is created as power, E-RAB is created as power, wireless percent of call completed, nothing
Handover success rate in handover success rate and ENB between line cutting off rate, ENB, for relevant KPI index.When building with terminal in base station
In the case of vertical communication process maturation, then when the network optimization, may more pay close attention to portfolio and Internet resources index classification,
So will determine the KPI index relevant to portfolio and Internet resources index classification.
Step S404: use automatization's Python software scripts 1 to automatically extract every day on one's own time on OMC every day
The network performance datas such as the KPI index of the whole network and the KPI of cell-level.
In the present embodiment, the software scripts (referred to as Python software scripts) using Python to write realizes network
Each process of case study and location.For ease of distinguishing each several part script realizing each process in Python software scripts,
Python software scripts is divided into multiple, such as Python software scripts 1,2,3,4 etc..But those skilled in the art should be bright
, in actual applications, Python software scripts is an overall script, or, it is also possible to by control program to multiple not
Same script is integrated and is called, and realizes network problem analysis and location in an integral manner.
OMC can obtain each of the whole network by the content in the daily record of work of each community in the whole network carries out statistics
The data of KPI index, each corresponding network data of KPI index of each community in the whole network, even each terminal.Extract
Every day the whole network KPI index, the KPI index in a week is carried out Macro or mass analysis, the index on the same day is entered with conventional KPI index
Row contrast, it can be seen that corresponding KPI variation tendency, primarily determines which index has decline, and then determines the master affecting network
Want problem.Such as: it is 94.11% that the RRC of extraction on the same day is created as power, and the RRC that in a week, other working day extracts is created as
Power is all more than 97%, and other KPI index does not changes significantly simultaneously, then by one week, RRC is created as power
It can be seen that it is the subject matter affecting network that RRC is created as power index in statistical data.
Step S406: by extract every day cell-level KPI index use Python software scripts 2 automatically arrange
Sequence, determines and screens worst TopN community.
Step S408: use Python software scripts 3 to be believed the community of the first row comprised in TopN cell results form
Breath carries out automatization's extraction.
By extract every day cell-level KPI index carry out automatization's sequence after, generate a result form, form
In recorded cell information, and corresponding KPI index.By each community according to KPI index by differing from excellent sequence successively, accordingly
Cell information also can be ranked up in order.
Step S410: use Python software scripts 4 by relevant CDL daily record, alarm log and the public day of TopN community
Will automatically extracts, and extracts the service interaction message data that KPI instruction is corresponding, and correspondingly saves as and TopN community
Corresponding N number of CDL file.
A kind of network problem analysis method used in the present embodiment, uses automated software script every day when inoperative
Between (such as 0:00-9:00) carry out relevant KPI index the whole network level and cell-level index carries out extracting and automatically generate result form,
Finally carry out automatically extracting and being stored in specified path by the relevant CDL daily record of Top N community worst for index, alarm log etc.
Implementation method specifically comprise the following steps that
(1) by the PC(Personal Computer of auto-control software scripts, PC) it is connected to extract KPI
The OMC operating board of index；
(2) PC preserves Python software scripts, according to the demand configuration of the KPI index extracted required for existing network every day
Parameter needed for the operation of Python software scripts；
(3) running automatization and extract the Python software scripts 1 of KPI index, the operating maintenance terminal triggering OMC carries automatically
Take corresponding KPI index；
(4) by extract every day cell-level KPI index use Python software scripts 2 carry out auto-sequencing, and
Determine and screen worst Top N community, automatically generating corresponding result form simultaneously；
(5) cell information of the first row comprised above in Top N cell results form is used Python software scripts 3
Carry out automatization's extraction；
(6) use Python software scripts 4 by the relevant CDL file of Top N cell information the most obtained, alarm day
Will etc. automatically extract, and deposit path by above-mentioned achievement data and form and relevant CDL literary composition according to specify in advance
Part, alarm log etc. were stored in corresponding service server according to the date, carried out further problem for network optimization personnel
Location and analysis use.
Step S412: increase automated analysis and the function of statistics in CDL analytical tool, the CDL literary composition to NGe Cha community
Data in part are analyzed statistics, and network optimization personnel combination automatically analyzes result and provides network optimization analysis report and solution
Scheme.
In the present embodiment, set and utilize existing CDL analytical tool, increase corresponding in this existing CDL analytical tool
Analysis and statistical function.But it is not limited to this, as in the preceding embodiment, analysis and the statistics merit to the CDL file generated
Can realization may be used without independent CDL analytical tool, or custom-designed be analyzed for the CDL file generated and
The special CDL analytical tool of statistics.
In CDL analytical tool, increase automated analysis and the function of statistics, be primarily directed to CDL file and carry out further
Process, it is thus achieved that the essential information of terminal, extract the relevant information that terminal traffic flow process is failed, carry out traffic signaling procedure failure and divide
Analysis and statistics.
When implementing,
(1) with reference first to the demand of existing network KPI index analysis, increase in CDL analytical tool corresponding KPI index from
Dynamic fractional analysis and statistical function.As a example by access property index, in CDL analytical tool, increase RRC and be created as power and E-RAB
It is created as analysis and the statistical function of the index service exception terminal of power.
(2) for each concrete KPI indicator-specific statistics analysis item, CDL analytical tool to be given in realization and be occurred
What service exception terminal was relevant is available for the information list that contingency question is analyzed, and specifying information includes:
Measurement before the community of sequence number, terminal iidentification, service exception generation, the time of service exception generation, service exception
Information, service exception occur before event, service exception occur time be correlated with the i.e. service exception of exception record information occur time tool
Body business datum, service exception reason (whether can tentatively distinguish is that core net causes exception or base station or terminal to cause), different
Regular profession business positioning problems suggestion i.e. solves the fields such as the suggestion of abnormal traffic.
Abnormal traffic positioning problems is advised i.e. after determining service exception reason, is given accordingly according to service exception reason
Solve the scheme of this problem.Such as: when when KPI index RRC being created as power and being analyzed, by the survey before service exception
Amount information, service exception occur before event, service exception exception record information of being correlated with when occurring obtain the reason of service exception
The service exception caused is disturbed, then the service exception reason corresponding at this abnormal traffic is: upward signal for upward signal
Interference, meanwhile, the abnormal traffic positioning problems suggestion be given accordingly is: carry out the investigation of uplink detection signal.Such
The problem that information field can help outfield staff faster positioning effects network.
(3) in above-mentioned information list, double-clicking the terminal of service exception, CDL analytical tool can be automatically brought to display should
The list of thing display interface of this service exception correlated process of terminal, it is simple to network optimization personnel the most quickly analyze, determine
The possible cause of this service exception is caused in position.
(4) above-mentioned information list can be derived with Excel file form, and file path and filename can be by the network optimizations
Personnel selection and input.In the information list derived, except comprising above-mentioned sequence number, there is place in terminal iidentification, service exception
Outside the fields such as the time that community, service exception occur, also include the name storing the CDL file of the end message of this service exception
Claim, facilitate network optimization personnel to go targetedly to search relevant CDL file.
(5) at CDL analytical tool for a certain KPI index except the automated analysis of above-mentioned service exception can be provided
Outward, it is also possible to the statistics to this index.After using CDL analytical tool that a certain concrete KPI index is analyzed statistics, except
Outside output information list, it is also possible to list is added up in output accordingly.It is created as a example by power by RRC, except rough is given into
The statistics of power, it is also possible to providing concrete statistical information: RRC further and set up total degree, RRC sets up unsuccessfully total degree；Press
According to service exception causality classification (exhaustive division), statistics miscellaneous service abnormal cause and the RRC that causes set up the frequency of failure and
Failure accounting；The terminal traffic frequency of failure and failure accounting thereof in statistics Top N community at times；Classify by terminal brand, give
Go out number of times and the failure accounting thereof of the terminal generation service fail of various brands, wherein, when determining terminal brand, pass through terminal country
Border mobile subscriber equipment mark judges the brand of terminal, adds up the most again.
Network optimization personnel are by analyzing the information list being related to service exception of CDL analytical tool output, statistics row
Table and other daily record of works, such as: alarm log, device log, public daily record, enter the concrete reason causing network problem
Row is analyzed.The abnormal traffic information analysis result be given by CDL analytical tool and statistical information, network optimization personnel can be fast
Speed carries out quick positioning analysis to the possible problem of KPI Indexes Abnormality, provides corresponding optimal solution.
Step S414: network optimization personnel, implement to optimize by base station troubleshooting and system optimization with reference to optimal solution
Improve and test checking, and complete detailed and complete optimal enforcement daily record.
At present, general mainly by take base station alarm troubleshooting, base station equipment inspection, frequency planning optimization, tested rotating platform,
Switching neighboring BS relationship amendment, database parameter amendment, interference elimination etc. reach the purpose of the network optimization.Reduced by the network optimization
Network congestion rate, reduction cutting off rate, raising percent of call completed, improvement cover, improve Network performance quality.
Step S416: by optimizing the means such as system control parameters and cell selection parameters fine setting communications network system, right
Data before and after optimizing than checking, complete network optimization final report and the accumulation of network optimization case.
There is provided network problem analysis method by this enforcement, use automatized script program the most such as to exist
OMC Operation and Maintenance relative free time period 0:00 9:00 carries out the extraction of KPI index, preliminary analysis arrangement and index of correlation
The correlation log of difference Top N community extracts.So, not only can save relevant KPI index to greatest extent and CDL file extracts
Time, effectively promote the efficiency of KPI index extraction；And said extracted can be reduced and work to regular maintenance and operation analysis
The negative effect of band；Further, this process participates in without network optimization personnel, saves manpower, thus contributes to network optimization people
Member can have the result that more sufficient time emphasis goes statistical analysis CDL to export, and determines the reason of problem and provides corresponding solution
Certainly scheme.The automated analysis for corresponding K PI index and statistical function is increased in CDL analytical tool, and by CDL file
Interactive information auto-associating detailed when the failure cause of abnormal traffic and abnormal traffic generation, is given and solves suggestion accordingly,
Export corresponding analytic statistics report.Use CDL analytical tool that the data in CDL file are resolved, solve current
In network analysis method, when CDL file is analyzed, by network optimization personnel, the bulk information in CDL file is entered completely
Row is analyzed, and the workload brought is big and network optimization personnel's technical capability is required high problem, is greatly improved network problem
Analysis efficiency, reach the target of the performance quality of fast lifting network.
Embodiment four
With reference to Fig. 5, it is shown that the structured flowchart of a kind of network problem analysis device of the embodiment of the present invention four.
The network problem analysis device of the present embodiment comprises determining that module 502, is used for using shell script to determine generation net
N number of community that the Key Performance Indicator of network problem is worst；Wherein, N is the natural number more than or equal to 1；First acquisition module
504, for using shell script to obtain service interaction message data corresponding with Key Performance Indicator in N number of community, and by industry
Business interaction message data save as the N number of CDL file corresponding with N number of community；First parsing module 506, is used for passing through script
The service interaction message data preserved in N number of CDL file is resolved by routine call CDL analytical tool, determines N number of CDL literary composition
Abnormal traffic in part；Second parsing module 508, for being analyzed abnormal traffic according to setting rule, determines abnormal industry
The producing cause of business.
Preferably, the first parsing module 506 includes: judge submodule 5062: resolve for calling CDL by shell script
Instrument, it is judged that the execution of every the service interaction message preserved in N number of CDL file is the most normal；Determine submodule 5064: be used for
The business performing abnormal service interaction message corresponding is defined as abnormal traffic.
Preferably, abnormal traffic is being analyzed by the second parsing module 508 according to setting rule, determines abnormal traffic
During producing cause: each the concrete business datum performing abnormal service interaction message corresponding is analyzed；According to storage
The corresponding relation of abnormal traffic data and service exception reason, the result of analysis is matched with service exception reason, determines
The service exception reason that the business corresponding with performing abnormal service interaction message matches.
Preferably, the network problem analysis device of the present embodiment also includes: the second acquisition module 510, for solving second
After analysis module 508 determines the producing cause of abnormal traffic, obtain the service exception information of abnormal traffic, wherein, service exception
Information includes: occur that community that the terminal of service exception, the mark of described terminal, service exception occur, service exception occur
Time, service exception occur before event, service exception occur time concrete business datum；Display module 512, is used for showing industry
Business abnormal information, selects for user and checks.
Preferably, the network problem analysis device of the present embodiment also includes: the 3rd acquisition module 514, for obtaining second
After delivery block 510 obtains the service exception information of abnormal traffic, according to the service exception reason determined and service exception information,
From the information of the abnormal traffic positioning problems suggestion of storage, the suggestion solving abnormal traffic is obtained according to matched rule；Display mould
Block 512 is in display service exception information, when selecting for user and check: display service exception information is built with solution abnormal traffic
View, selects for user and checks.
The network problem analysis device of the present embodiment is used for realizing corresponding network problem in aforesaid plurality of embodiment of the method
Analysis method, and there is the beneficial effect that corresponding method is implemented, do not repeat them here.
The invention provides a kind of TD-LTE network KPI(Key Performance Indicator key performance that promotes to refer to
Mark) automatization's implementation of On Index positioning analysis efficiency.By the program, KPI achievement data is carried out automatization and carries
Take and analyze, and relevant daily record is carried out automatization's extraction and use instrument further refines analysis, can effectively reduce
The time of network KPI index extraction, the efficiency of fast lifting network KPI Indexes Abnormality Analysis on Issues Related location, thus effectively
Improve and promote performance quality and the KPI index of network, improve user's perception.
Each embodiment in this specification all uses the mode gone forward one by one to describe, what each embodiment stressed is with
The difference of other embodiments, between each embodiment, identical similar part sees mutually.For device embodiment
For, due to itself and embodiment of the method basic simlarity, so describe is fairly simple, relevant part sees the portion of embodiment of the method
Defend oneself bright.
Above a kind of network problem analysis method and apparatus provided by the present invention is described in detail, herein should
Being set forth principle and the embodiment of the present invention by specific case, the explanation of above example is only intended to help reason
Solve method and the core concept thereof of the present invention；Simultaneously for one of ordinary skill in the art, according to the thought of the present invention,
All will change in detailed description of the invention and range of application, in sum, this specification content should not be construed as this
Bright restriction.
Claims (8)
1. a network problem analysis method, it is characterised in that including:
Use shell script determines N number of community that the Key Performance Indicator of generation network problem is worst；Wherein, N for more than or etc.
In the natural number of 1；
Described shell script is used to obtain service interaction message count corresponding with described Key Performance Indicator in described N number of community
According to, and described service interaction message data is saved as the N number of CDL file corresponding with described N number of community；
The CDL analytical tool described service interaction message count to preserving in described N number of CDL file is called by described shell script
According to resolving, determine the abnormal traffic in described N number of CDL file；According to setting rule, described abnormal traffic is analyzed,
Determine the producing cause of described abnormal traffic；
Described by described shell script call CDL analytical tool in described N number of CDL file preserve described service interaction disappear
Breath data carry out analyzing step and include: call CDL analytical tool by described shell script, it is judged that protect in described N number of CDL file
The execution of every the service interaction message deposited is the most normal；The business performing abnormal service interaction message corresponding is defined as
Abnormal traffic.
Method the most according to claim 1, it is characterised in that described described abnormal traffic carried out point according to setting rule
Analysis, determines that the producing cause step of described abnormal traffic includes:
Each concrete business datum corresponding to service interaction message abnormal to described execution is analyzed；
Abnormal traffic data according to storage and the corresponding relation of service exception reason, by the result of described analysis and described business
Abnormal cause matches, and determines that the service exception that business corresponding to service interaction message abnormal with described execution matches is former
Cause.
Method the most according to claim 2, it is characterised in that in the step of the described producing cause determining described abnormal traffic
After Zhou, also include:
Obtaining the service exception information of described abnormal traffic, wherein, described service exception information includes: the end of service exception occur
End, the mark of described terminal, service exception occur community, service exception occur time, service exception occur before event,
Concrete business datum when service exception occurs；
Show described service exception information, select for user and check.
Method the most according to claim 3, it is characterised in that in the service exception information of the described abnormal traffic of described acquisition
Step after, also include:
According to the described service exception reason determined and described service exception information, according to matched rule from the abnormal traffic of storage
The information of positioning problems suggestion obtains the suggestion solving described abnormal traffic；
Described display described service exception information, selects the step checked and browse to include for user: to show described service exception
Information and the suggestion of the described abnormal traffic of solution, select for user and check.
5. a network problem analysis device, it is characterised in that including:
Determine module, produce N number of community that the Key Performance Indicator of network problem is worst for using shell script to determine；Its
In, N is the natural number more than or equal to 1；
First acquisition module, is used for using described shell script to obtain in described N number of community corresponding with described Key Performance Indicator
Service interaction message data, and described service interaction message data is saved as the N number of CDL corresponding with described N number of community
File；
First parsing module, for calling CDL analytical tool to preservation in described N number of CDL file by described shell script
Described service interaction message data resolves, and determines the abnormal traffic in described N number of CDL file；
Second parsing module, for being analyzed described abnormal traffic according to setting rule, determines the product of described abnormal traffic
Raw reason；
Described first parsing module includes:
Judge submodule, for calling CDL analytical tool by described shell script, it is judged that described N number of CDL file preserves
The execution of every service interaction message is the most normal；
Determine submodule, for the business performing abnormal service interaction message corresponding is defined as abnormal traffic.
Device the most according to claim 5, it is characterised in that described second parsing module is according to setting rule to described
Abnormal traffic is analyzed, when determining the producing cause of described abnormal traffic: service interaction message abnormal to described execution
Each corresponding concrete business datum is analyzed；
Abnormal traffic data according to storage and the corresponding relation of service exception reason, by the result of described analysis and described business
Abnormal cause matches, and determines that the service exception that business corresponding to service interaction message abnormal with described execution matches is former
Cause.
Device the most according to claim 6, it is characterised in that described network problem analysis device also includes:
Second acquisition module, for after described second parsing module determines the producing cause of described abnormal traffic, obtains institute
Stating the service exception information of abnormal traffic, wherein, described service exception information includes: the terminal of service exception, described end occur
Event before the community of the mark of end, service exception generation, the time of service exception generation, service exception generation, service exception
Concrete business datum during generation；
Display module, is used for showing described service exception information, selects for user and checks.
Device the most according to claim 7, it is characterised in that described network problem analysis device also includes:
3rd acquisition module, after obtain the service exception information of described abnormal traffic at described second acquisition module, root
According to the described service exception reason determined and described service exception information, fixed from the abnormal traffic problem of storage according to matched rule
The information of position suggestion obtains the suggestion solving described abnormal traffic；
Described display module is showing described service exception information, when selecting for user and check: show that described service exception is believed
Cease and solve the suggestion of described abnormal traffic, select for user and check.
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Families Citing this family (13)
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| CN104363073B (en) * | 2014-10-31 | 2017-12-01 | 上海大唐移动通信设备有限公司 | The method and device that a kind of CDL data to signaling sub-process are handled |
| CN106162698A (en) * | 2015-04-15 | 2016-11-23 | 中国电信股份有限公司 | Network Abnormal problem analysis method and device |
| CN106714190B (en) * | 2015-11-16 | 2020-01-03 | 中国移动通信集团上海有限公司 | Method, device and system for generating network data |
| CN107135090B (en) * | 2016-02-29 | 2020-06-16 | 华为技术有限公司 | Method and device for realizing network poor quality problem positioning |
| CN107347016B (en) * | 2016-05-06 | 2022-03-25 | 中兴通讯股份有限公司 | Signaling flow model identification method and abnormal signaling flow identification method |
| CN106156362A (en) * | 2016-08-01 | 2016-11-23 | 陈包容 | A kind of method and device automatically providing solution for early warning |
| CN107920360B (en) * | 2016-10-08 | 2022-07-29 | 中兴通讯股份有限公司 | Method, device and system for positioning network problem |
| CN108540298B (en) * | 2017-03-01 | 2022-06-17 | 中兴通讯股份有限公司 | Method and device for automatically processing garbage service |
| CN109963293A (en) * | 2017-12-25 | 2019-07-02 | 中国移动通信集团上海有限公司 | A kind of performance indicator optimization method and device |
| CN110650488B (en) * | 2018-06-26 | 2021-07-23 | 大唐移动通信设备有限公司 | Communication quality monitoring method and system |
| CN111163489B (en) * | 2018-11-08 | 2023-04-28 | 中国移动通信集团广东有限公司 | Positioning method and device for abnormal interaction problem between terminal and network |
| CN112506900A (en) * | 2020-11-27 | 2021-03-16 | 中广核工程有限公司 | Method, device and equipment for checking three-dimensional data of ventilation pipe of nuclear power plant and storage medium |
| CN114071515B (en) * | 2021-11-08 | 2023-07-04 | 北京东土拓明科技有限公司 | Network optimization method, device, equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101227316A (en) * | 2007-09-12 | 2008-07-23 | 华为技术有限公司 | Method and system for managing network cell |
| CN101925101A (en) * | 2009-06-09 | 2010-12-22 | 中兴通讯股份有限公司 | Method and device for information collection and statistic analysis in process of user calling |
| CN102571406A (en) * | 2010-12-30 | 2012-07-11 | 中国移动通信集团河北有限公司 | Data service node quality analysis method and device and data service short plate analysis system |
| CN102905291A (en) * | 2012-09-06 | 2013-01-30 | 大唐移动通信设备有限公司 | Method for prompting network optimization and network optimization server |
-
2013
- 2013-09-06 CN CN201310404419.9A patent/CN103501503B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101227316A (en) * | 2007-09-12 | 2008-07-23 | 华为技术有限公司 | Method and system for managing network cell |
| CN101925101A (en) * | 2009-06-09 | 2010-12-22 | 中兴通讯股份有限公司 | Method and device for information collection and statistic analysis in process of user calling |
| CN102571406A (en) * | 2010-12-30 | 2012-07-11 | 中国移动通信集团河北有限公司 | Data service node quality analysis method and device and data service short plate analysis system |
| CN102905291A (en) * | 2012-09-06 | 2013-01-30 | 大唐移动通信设备有限公司 | Method for prompting network optimization and network optimization server |
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