CN103501503A - Network problem analyzing method and network problem analyzing device - Google Patents
Network problem analyzing method and network problem analyzing device Download PDFInfo
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Abstract
The invention provides a network problem analyzing method and a network problem analyzing device. The network problem analyzing method includes the steps that N cells having the poorest key performance indexes and generating network problems are determined with a script program, wherein N is a natural number larger than or equal to 1; service interaction information data corresponding to the key performance indexes in the N cells are obtained with the script program, and the service interaction information data are stored to be N CDL files corresponding to the N cells; a CDL analyzing tool is called by the script program to analyze the service interaction information data stored in the N CDL files, and abnormal services in the N CDL files are determined; the abnormal services are analyzed according to a set rule, and causes of the abnormal services are determined. With the network problem analyzing method and the network problem analyzing device, the work objectives for fast improving the network performance and the network quality of the network optimizing work are achieved.
Description
Technical field
The present invention relates to communication technical field, particularly relate to a kind of network problem analytical method and device.
Background technology
Network quality is the lifeline of network operation, and basic network optimization is the core that promotes network quality.Along with 15 the TD-LTE(Time Division Long Term Evolution in the whole nation, time-division Long Term Evolution) progressively the completing of networking in network size try net city, the network optimization work in each scale try net city also actively launches.
KPI(Key Performance Indicator, Key Performance Indicator) extraction and analysis are the most important things in network optimization work.The KPI that the TD-LTE system is paid close attention to mainly comprises following several large class: access property index, retentivity index, mobility index, traffic carrying capacity index and network resource utilization index etc.Monitoring by the KPI index to communication network can reach: recognition network performance bursting problem; To giving warning in advance of network failure and network quality decline equivalent risk; Guarantee the progressively lifting of the stable and network performance quality of network KPI index.
At present, as shown in Figure 1, the method comprises the following steps a kind of method of according to KPI, carrying out the network optimization:
Step S102: determine the network optimization KPI index of being correlated with.
Step S104: network optimization personnel are at OMC(Operation and Maintenance Center, OMC operation and maintenance centre) above formulate KPI index template, extract the KPI index of the whole network every day, after initial analysis, determine and need emphasis to optimize improved KPI index.
Step S106: the index of extracting the corresponding cell-level of KPI index that fixed emphasis need to optimize.And use the EXCEL table to the community of extracting with and corresponding index added up, determine the poorest TopN community.
Step S108: network optimization personnel extract the CDL(Call Detail Log of TopN community, the detailed level logs of service call) daily record, alarm log etc. be optimized case study, provides optimization problem analysis report and solution.
Step S110: network optimization personnel, implement to optimize and improve and testing authentication by base station troubleshooting and system optimization with reference to prioritization scheme, and complete the optimization enforcement daily record of detailed complete.
Step S112: control the means micro-tensioning systems such as parameter and community selection parameter by optimization system.Contrast verification is optimized the front and back data, completes network optimization final report and the accumulation of network optimization case.
Yet, use above-mentioned network optimized approach to carry out the network optimization, analyze in the process of network problem, at first, many links, as every day the whole network level the KPI index extraction and the KPI index extraction of initial analysis, cell-level and to the KPI index sequence determine that the work of Top worst cell all needs network optimization personnel to complete; Secondly, in the network O&M process, due to the operating maintenance terminal limited amount of OMC, when the optimization personnel extract the relevant CDL daily record of the poorest TopN community and alarm log in the operating time, can and safeguard and bring certain negative effect the regular job of network.Moreover, in the CDL daily record, amount of information is very large, when to CDL, daily record is resolved, need network optimization personnel directly to CDL daily record analyzed, like this, not only require network optimization personnel that very high service technique ability is arranged, more require a great deal of time simultaneously, positioning problems and analysis efficiency are low, can't meet fast lifting network performance that network optimization need of work reaches and the target of quality.
Summary of the invention
The invention provides a kind of network problem analytical method and device, existing in the network problem analytic process to solve, the network problem analysis efficiency is low, can't meet the problem of the target of fast lifting network performance that network optimization need of work reaches and quality.
In order to address the above problem, the invention discloses a kind of network problem analytical method, comprising: use shell script to determine N the poorest community of Key Performance Indicator that produces network problem; Wherein, N is more than or equal to 1 natural number; Use that described shell script obtains in a described N community, the service interaction message data corresponding with described Key Performance Indicator, and described service interaction message data is saved as to N the CDL file corresponding with a described N community; Call the CDL analytical tool by described shell script the described service interaction message data of preserving in described N CDL file is resolved, determine described N the abnormal traffic in the CDL file; According to setting rule, described abnormal traffic is analyzed, determined the generation reason of described abnormal traffic.
Preferably, describedly call the CDL analytical tool by described shell script and the described service interaction message data of preserving in described N CDL file is carried out to analyzing step comprise: call the CDL analytical tool by described shell script, judge that whether the execution of every service interaction message of preserving in described N CDL file is normal; Be defined as abnormal traffic by carrying out business corresponding to abnormal service interaction message.
Preferably, describedly according to setting rule, described abnormal traffic is analyzed, determine that the generation reason step of described abnormal traffic comprises: each concrete business datum corresponding to the abnormal service interaction message of described execution analyzed; According to the abnormal traffic data of storage and the corresponding relation of service exception reason, the result of described analysis and described service exception reason are complementary, determine the service exception reason that the business corresponding with the abnormal service interaction message of described execution is complementary.
Preferably, after the step of the described generation reason of determining described abnormal traffic, also comprise: the service exception information of obtaining described abnormal traffic, wherein, described service exception information comprises: concrete business datum when event, service exception before community that the sign, service exception of the terminal of service exception, described terminal occur, time, service exception that service exception occurs occur occurs occurs; Show described service exception information, for the user, select and check.
Preferably, after the step of the described service exception information of obtaining described abnormal traffic, also comprise: according to described service exception reason and the described service exception information determined, according to matched rule, from the information of the abnormal traffic positioning problems suggestion of storage, obtain the suggestion that solves described abnormal traffic; The described service exception information of described demonstration, select the step of checking and browsing to comprise for the user: to show described service exception information and the suggestion that solves described abnormal traffic, for the user, select and check.
In order to address the above problem, the invention also discloses a kind of network problem analytical equipment, comprising: determination module, determine for using shell script N the poorest community of Key Performance Indicator that produces network problem; Wherein, N is more than or equal to 1 natural number; The first acquisition module, obtain a described N community, the service interaction message data corresponding with described Key Performance Indicator for using described shell script, and described service interaction message data saved as to N the CDL file corresponding with a described N community; The first parsing module, resolved for call the described service interaction message data that the CDL analytical tool preserves described N CDL file by described shell script, determines described N the abnormal traffic in the CDL file; The second parsing module, for according to setting rule, described abnormal traffic being analyzed, determine the generation reason of described abnormal traffic.
Preferably, described the first parsing module comprises: the judgement submodule, for by described shell script, calling the CDL analytical tool, judges that whether the execution of every service interaction message of preserving in described N CDL file is normal; Determine submodule, for carrying out business corresponding to abnormal service interaction message, be defined as abnormal traffic.
Preferably, described the second parsing module is being analyzed described abnormal traffic according to setting rule, and while determining the generation reason of described abnormal traffic: each concrete business datum corresponding to the abnormal service interaction message of described execution analyzed; According to the abnormal traffic data of storage and the corresponding relation of service exception reason, the result of described analysis and described service exception reason are complementary, determine the service exception reason that the business corresponding with the abnormal service interaction message of described execution is complementary.
Preferably, described network problem analytical equipment also comprises: the second acquisition module, for after described the second parsing module is determined the generation reason of described abnormal traffic, obtain the service exception information of described abnormal traffic, wherein, described service exception information comprises: concrete business datum when event, service exception before community that the sign, service exception of the terminal of service exception, described terminal occur, time, service exception that service exception occurs occur occurs occurs; Display module, for showing described service exception information, select and check for the user.
Preferably, described network problem analytical equipment also comprises: the 3rd acquisition module, for after described the second acquisition module obtains the service exception information of described abnormal traffic, according to described service exception reason and the described service exception information determined, according to matched rule, from the information of the abnormal traffic positioning problems suggestion of storage, obtain the suggestion that solves described abnormal traffic; Described display module is showing described service exception information, for the user, selects and while checking: show described service exception information and the suggestion that solves described abnormal traffic, for the user, select and check.
Compared with prior art, the present invention has the following advantages:
Network problem analytical method provided by the invention and device, in the reason to producing network problem is carried out analytic process, at first, use shell script by each independently process conformity get up, when location produces the reason of network problem, automation realizes each process successively, and needn't human intervention, greatly saved and realized cost, improved case study and location efficiency, secondly, use shell script automatically to determine N the poorest community of Key Performance Indicator that produces network problem, the relatively existing screening technique that relies on N the poorest community of network optimization personnel screening fully, reduced the input of manpower, promote screening effeciency, effectively reduced the cost of the network optimization, use shell script only to extract service interaction message data corresponding with the Key Performance Indicator that produces network problem in N community, generate N CDL file, make follow-up when carrying out the network problem analysis of causes and location, the data of using are few and more targeted, can effectively promote data analysis and process efficiency, and then improve the efficiency of the network problem analysis of causes and location, call the CDL analytical tool matched with the CDL file is resolved the service interaction message data of preserving in above-mentioned CDL file by shell script, analyze all abnormal traffics, determine the reason that abnormal traffic produces, in relatively existing many network problems analytic process, rely on network optimization personnel directly the bulk information in the CDL file to be analyzed fully, therefrom obtain abnormal traffic and the abnormal reason produced, not only save human cost, efficiency is higher, can to problem, position quickly, and the accuracy of analyzing and locating is also far away higher than manual operation.In a word, adopt the network problem analytical efficiency in the present invention high, can meet fast lifting network performance that network optimization need of work reaches and the target of quality.
The accompanying drawing explanation
Fig. 1 is a kind of flow chart of steps of 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 analytical method of the embodiment of the present invention one;
Fig. 3 is the flow chart of steps of a kind of network problem analytical method of the embodiment of the present invention two;
Fig. 4 is the flow chart of steps of a kind of network problem analytical method of the embodiment of the present invention three;
Fig. 5 is the structured flowchart of a kind of network problem analytical equipment of the embodiment of the present invention four.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation.
Embodiment mono-
With reference to Fig. 2, show the flow chart of steps of a kind of network problem analytical method of the embodiment of the present invention one.
The network problem analytical method step of the present embodiment is as follows:
Step S202: use shell script to determine N the poorest community of Key Performance Indicator that produces network problem; Wherein, N is more than or equal to 1 natural number.
The KPI that TD-LTE grid optimization is at present paid close attention to mainly comprises following several large class: access property index, retentivity index, mobility index, traffic carrying capacity index and Internet resources index.Detection by the KPI index to system can reach: recognition network performance bursting problem; To giving warning in advance of network failure and network quality decline equivalent risk; Ensure the progressively lifting of the stable and network performance quality of network KPI index.Concrete KPI index corresponding to above-mentioned several large class KPI index is as shown in table 1 below.
Table 1
The number N of the present embodiment small area can suitably be arranged according to demand by those skilled in the art, can be one, can be also suitable number arbitrarily, and as five, ten are even more, the present invention is not restricted this.Take when determining the number of community and can reflect that the network problem produced is as determining foundation.
When the Key Performance Indicator to producing network problem is analyzed, except take community as unit is analyzed, also can select each terminal in the serious ，Dui community, community of some network problems to be analyzed, i.e., the terminal of take is analyzed as unit.
A kind of preferred version of N the community that the Key Performance Indicator of definite generation network problem is the poorest is: the network problem of at first paying close attention at present according to base station, determine the KPI index relevant to network problem.For example: at the initial stage of building a station, what pay close attention to is the foundation of service connection between terminal and base station, will determine that so access property index, retentivity index, mobility index are the index classification that the network optimization is paid close attention to, correspondingly determine concrete KPI index corresponding to each index classification analysis indexes of attaching most importance to, as: RRC is created as power, E-RAB is created as the indexs such as power, wireless interface passband.After having determined the KPI index relevant to the network optimization, the above-mentioned KPI index of extracting the whole network every day is contrasted, and therefrom selects the obvious KPI index of one or more variation tendencies.Extract the obvious KPI index of above-mentioned variation tendency of each community, sorted, select N the poorest community of KPI index, further analyze the concrete reason that causes network problem.
Step S204: use that shell script obtains in N community, the service interaction message data corresponding with Key Performance Indicator, and service interaction message data is saved as and N N the CDL file that community is corresponding.
Traditional CDL file is that base station is as ENB(Evolved Node B, evolved base station) in order to facilitate Sampling network ruuning situation, to review orientation problem, and a kind of daily record of exploitation.The service interaction data description of preserving in the CDL file a large amount of UE(User Equipment, subscriber equipment) for example mobile phone terminal when business occurs, event on the SI/X2/Uu interface, and in the inside of base station event.Carry out whole relevant information data of business except comprising UE in base station, also comprise whole signalings and business datum that network is surveyed, network side has been received any signaling, has been issued what signaling and business datum is included in the CDL file.And in the present embodiment, data in above-mentioned traditional CDL have been carried out to the second extraction processing, in CDL file after extraction process, only preserved by shell script service interaction message data corresponding with paid close attention to Key Performance Indicator that extract from traditional CDL file, the CDL file that amount of information is relatively traditional is much smaller.When the data analysis in these CDL files, data volume is few and more targeted, can effectively promote data analysis and process efficiency, and then improves the efficiency of the network problem analysis of causes and location.
Step S206: call the CDL analytical tool by shell script the service interaction message data of preserving in N CDL file is resolved, determine N the abnormal traffic in the CDL file; According to setting rule, abnormal traffic is analyzed, determined the generation reason of abnormal traffic.
In the present embodiment, the CDL analytical tool is the instrument matched with the CDL file of step S204 generation, for the CDL file generated for the present embodiment, is analyzed.At first this CDL analytical tool loads the CDL file generated in the present embodiment, then the interaction message of each business in the CDL file is analyzed, analyze the generation reason of abnormal traffic and abnormal traffic, and analysis result can be presented with interface form, for subsequent network optimization, personnel check and browse.Use the CDL analytical tool to be resolved the service interaction message data in the CDL file, the reference that can quick discovery is provided and solve network problem to network optimization personnel intuitively.
It should be noted that, the Key Performance Indicator that produces network problem may be one, may be also a plurality of.When the Key Performance Indicator that produces network problem has when a plurality of, can adopt the scheme of the present embodiment one by one each Key Performance Indicator to be analyzed, provide analysis result for each Key Performance Indicator respectively; Also can layout order or concurrently a plurality of Key Performance Indicators are analyzed simultaneously, provide analysis result for each Key Performance Indicator respectively.
The network problem analytical method provided by the present embodiment, in the reason to producing network problem is carried out analytic process, at first, use shell script by each independently process conformity get up, when location produces the reason of network problem, automation realizes each process successively, and needn't human intervention, greatly saved and realized cost, improved case study and location efficiency; Secondly, use shell script automatically to determine N the poorest community of Key Performance Indicator that produces network problem, the relatively existing screening technique that relies on N the poorest community of network optimization personnel screening fully, reduced the input of manpower, promote screening effeciency, effectively reduced the cost of the network optimization; Use shell script only to extract service interaction message data corresponding with the Key Performance Indicator that produces network problem in N community, generate N CDL file, make follow-up when carrying out the network problem analysis of causes and location, the data of using are few and more targeted, can effectively promote data analysis and process efficiency, and then improve the efficiency of the network problem analysis of causes and location; Call the CDL analytical tool matched with the CDL file is resolved the service interaction message data of preserving in above-mentioned CDL file by shell script, analyze all abnormal traffics, determine the reason that abnormal traffic produces, in relatively existing many network problems analytic process, rely on network optimization personnel directly the bulk information in the CDL file to be analyzed fully, therefrom obtain abnormal traffic and the abnormal reason produced, efficiency is higher, can to problem, position faster, and the accuracy of analysis and location is also far away higher than manual operation.In a word, adopt the network problem analytical efficiency in the present invention high, can meet fast lifting network performance that network optimization need of work reaches and the target of quality.
Embodiment bis-
With reference to Fig. 3, show the flow chart of steps of a kind of network problem analytical method of the embodiment of the present invention two.
The network problem analytical method concrete steps of the present embodiment are as follows:
Step S302: use shell script to determine N the poorest community of Key Performance Indicator that produces network problem; Wherein, N is more than or equal to 1 natural number.
It should be noted that, the purpose of N the community that the Key Performance Indicator of definite generation network problem is the poorest is, in order to take this N community, it is analytic target, analyze the service interaction message data of end side when mutual with network side in N community, analyze abnormal traffic from business interaction message data, and the reason of abnormal traffic generation.Community number N can suitably be arranged according to demand by those skilled in the art, can be one, can be also arbitrarily suitable number.When determining the number of community, the number of the community chosen of take can reflect that the main cause that produces network problem is foundation.
Shell script can be realized by any appropriate languages, as used c language or Python or other language compilation, realizes.
The scheme of N the community that a kind of Key Performance Indicator that preferably uses shell script to determine the generation network problem is the poorest is as follows:
Use shell script every day on one's own time (for example 0:00-9:00) extract the relevant KPI index of the whole network; The for example relevant KPI index of the whole network of one week interior every day in certain time limit is compared.For example relevant KPI index is under access property index classification, concrete KPI index: RRC is created as power, E-RAB is created as power, determines the KPI index that the KPI index of obvious variation is attached most importance to and analyzed, and for example RRC is created as power; The RRC that extracts each community of the whole network is created as power, the RRC of each community is created as to power and is sorted, and selects RRC to be created as N the community that power is minimum.
Step S304: use that shell script obtains in N community, the service interaction message data corresponding with Key Performance Indicator, and service interaction message data is saved as and N N the CDL file that community is corresponding.
After having determined N the poorest community of Key Performance Indicator, extract the cell information of N community, according to cell information extraction service interaction message data corresponding with Key Performance Indicator from other daily record of works such as the CDL file of corresponding community, alarm log, device log.
Step S306: call the CDL analytical tool by shell script the service interaction message data of preserving in N CDL file is resolved, determine N the abnormal traffic in the CDL file.
Preferably, when calling service interaction message data that the CDL analytical tool preserves in to N CDL file by shell script and resolved, whether the CDL analytical tool is normal by the execution that judges every service interaction message of preserving in N CDL file; Be defined as abnormal traffic by carrying out business corresponding to abnormal service interaction message, thereby determine the abnormal traffic in N CDL file.
For example: under normal circumstances, the RRC connection procedure needs between UE and ENB to carry out three times alternately, comprising: UE sends out the REQUEST request to ENB, and request is set up RRC and connected; When Internet resources are sufficient, ENB replys SETUP message to UE, agrees to set up RRC and connects; UE returns to successful RESPONSE message to ENB, successfully sets up RRC and connects.Yet the reciprocal process that the RRC preserved in the CDL file connects comprises: UE sends out the REQUEST request to ENB; ENB replys to UE is not SETUP message and other failed messages can judge 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, determined the generation reason of abnormal traffic.
Preferably, abnormal traffic is being analyzed, can realized in the following manner while determining the reason that abnormal traffic produces: analyzed carrying out each concrete business datum corresponding to abnormal service interaction message; According to the abnormal traffic data of storage and the corresponding relation of service exception reason, the result of analysis and service exception reason are complementary, determine the service exception reason that the business corresponding with carrying out abnormal service interaction message is complementary.
Preserve the corresponding relation of abnormal traffic data and service exception reason in the CDL analytical tool, this relation has been indicated the reason that various abnormal traffic interaction messages and/or abnormal traffic data occur.According to this corresponding relation, the result of abnormal traffic analysis and service exception reason are complementary, can determine the service exception reason.
For example: the CDL analytical tool parses a certain UE and is setting up when RRC is connected and occurring extremely with base station, and the service interaction message that will connect this RRC so be analyzed.Occur that the interaction message that abnormal RRC connects is: UE sends out the REQUEST request to ENB; ENB replys to UE is not SETUP message and other failed messages, corresponding relation according to abnormal traffic data and service exception reason, this failure interaction message and service exception reason are complementary, can determine that the service exception of this abnormal traffic is former because the service exception that ENB side reason causes.
Step S310: the service exception information of obtaining abnormal traffic.
Wherein, service exception information comprises: concrete business datum when event, service exception before the sign of terminal, the terminal of service exception, community that service exception occurs, time, service exception that service exception occurs occur occurs occurs.The CDL analytical tool can show this information after obtaining the service exception information of abnormal traffic, for the user, selects and checks.
Step S312: according to definite service exception reason and service exception information, according to matched rule, from the information of the abnormal traffic positioning problems suggestion of storage, obtain the suggestion that solves abnormal traffic.
In obtaining the approaches process of N the abnormal traffic in the CDL file, at first, obtain service exception reason and the service exception information of abnormal traffic; Then, with the information that the abnormal traffic positioning problems of storage is advised, mated, obtained the abnormal traffic positioning problems suggestion be complementary with this service exception reason.For example: when definite a certain RRC sets up service exception, the service exception information of obtaining this business is: UE sends out the REQUEST request to ENB, and ENB does not have return messages.Wherein, UE to ENB send out REQUEST request for service exception the event before occurring, and ENB not have return messages be the concrete business datum of service exception while occurring, can judge that by these two information service exception is former because the upward signal interference; Search the approaches mated with the upward signal interference the information of advising from the abnormal traffic positioning problems of storage so, obtain the solution upward signal and disturb to advise being the investigation of carrying out upward signal.Wherein, the information of abnormal traffic positioning problems suggestion can be set approaches for the KPI statistical value of some easy abnormals in advance by the staff, and is stored in the CDL analytical tool.Certainly, the CDL analytical tool also can obtain from third party's application by other approach, and then provides suggestion accordingly.
Step S314: display business abnormal information and the suggestion that solves abnormal traffic, select and check for the user.
Wherein, service exception information, service exception reason and solve the form information generated list that the suggestion of abnormal traffic can the Excel form and show, the suggestion of concrete business datum, service exception reason and solution abnormal traffic when the event before having comprised the sign of terminal, the terminal of the abnormal traffic that occurs in N CDL file, community that service exception occurs, time, service exception that service exception occurs in information list and occurring, service exception generation.This information list can be derived according to the file path of network optimization personnel selection and input.Preferably, network optimization personnel double-click a certain terminal that service exception occurs in information list, the CDL analytical tool can automatically jump to and show this service interaction messaging list display interface of this terminal, is convenient to further more rapid analysis of network optimization personnel, locates the possible cause that this service exception occurs.
Preferably, the CDL analytical tool also has the function that the generation reason of abnormal traffic and abnormal traffic is added up.Service connection in N CDL file is added up, obtained total degree and the abnormal traffic total degree of service connection, shown that the abnormal traffic total degree accounts for the ratio of the total degree of service chaining; Generation reason according to abnormal traffic is carried out statistic of classification to whole abnormal traffics, obtains respectively the number of times that a variety of causes causes 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 respectively the number of times of each time period abnormal business, and the number of times of each time period abnormal business accounts for the ratio of abnormal traffic total degree and exports above-mentioned statistics.
The network problem analytical method provided by the present embodiment, use shell script automatically to extract on one's own time the KPI index of each community in the whole network, the whole network, and the CDL file of the poorest N the community of KPI index, effectively promoted the extraction efficiency of KPI index and relevant CDL file, while having avoided extracting KPI index and relevant CDL file in the operating time on the impact of the O&M work of daily network, participate in work without network optimization personnel when extracting, reduced the input of manpower.Use shell script only to extract service interaction message data corresponding with the Key Performance Indicator that produces network problem in N community, generate N CDL file, make follow-up when carrying out the network problem analysis of causes and location, the data of using are few and more targeted, can effectively promote data analysis and process efficiency, and then improve the efficiency of the network problem analysis of causes and location.Pre-configured and the corresponding analysis of each KPI index and statistics configuration file in the CDL analytical tool, KPI index for the needs analysis provides corresponding analysis and statistics, calling the CDL analytical tool is resolved the service interaction message data in the CDL file, abnormal traffic in output CDL file, the generation reason of abnormal traffic and the suggestion that solves abnormal traffic, carry out the analysis of CDL file without network optimization personnel, technical capability to network optimization personnel does not have too high requirement, promoted the efficiency to the network problem location, effectively assisted network is optimized the operating efficiency of man winding the whole network network performance and quality of service, fast lifting network performance that network optimization need of work reaches and the target of quality have been realized.
Embodiment tri-
With reference to Fig. 4, show the flow chart of steps of a kind of network problem analytical method of the embodiment of the present invention three.
The network problem analytical method concrete steps of the present embodiment are as follows:
Step S402: determine relevant KPI index.
The situation that network optimization personnel are current according to network, determine the problem of paying close attention to, and then determine relevant KPI index.For example: if at the initial stage of building a station, network optimization work may be closed being connected between injection terminal and base station more, will determine so access property index, retentivity index and the mobility index classification analytic target of attaching most importance to, the concrete KPI index that correspondingly index of definite above-mentioned each classification comprises, as: RRC is created as power, E-RAB is created as handover success rate and the interior handover success rate of ENB between power, wireless interface passband, wireless cutting off rate, ENB, is relevant KPI index.When in the situation that base station and terminal are set up the communication process maturation, when the network optimization, may more pay close attention to traffic carrying capacity and Internet resources index classification so, so just can determine the KPI index relevant to traffic carrying capacity and Internet resources index classification.
Step S404: use automation Python software scripts automatically to extract on one's own time the KPI index of the whole network every day and the network performance datas such as KPI of cell-level 1 every day on OMC.
In the present embodiment, the software scripts (referred to as the Python software scripts) of using Python to write realizes each process of network problem analysis and location.For ease of distinguishing the each several part script of realizing each process in the Python software scripts, the Python software scripts is divided into a plurality of, as Python software scripts 1,2,3,4 etc.But it should be understood by those skilled in the art that in actual applications, the as a whole script of Python software scripts, or, also can be integrated and be called a plurality of different scripts by control program, realize network problem analysis and location with integral way.
OMC adds up the data of each KPI index that can obtain the whole network by the content in the daily record of work to each community in the whole network, each community in the whole network, or even the corresponding network data of each KPI index of each terminal.Extract the KPI index of the whole network every day, KPI index in one week is carried out to Macro or mass analysis, the index on the same day and KPI index are in the past contrasted, can see corresponding KPI variation tendency, preliminary definite which index has decline, and then determines the subject matter that affects network.For example: it is 94.11% that the RRC extracted the same day is created as power, and the RRC that in a week, extract other working day is created as power all more than 97%, other KPI index does not significantly change simultaneously, by finding out in the statistics that RRC was created as in a week power, it is the subject matter that affects network that RRC is created as the power index so.
Step S406: by extract every day cell-level the KPI index adopt Python software scripts 2 to carry out auto-sequencing, determine and TopN community that screening is the poorest.
Step S408: use Python software scripts 3 will comprise the TopN community as a result the cell information of the first row in form carry out the automation extraction.
By extract every day cell-level the KPI index carry out the automation sequence after, generate a form as a result, put down in writing cell information in form, and corresponding KPI index.Sorted to excellent by poor successively according to the KPI index in each community, corresponding cell information also can be sorted in order.
Step S410: use Python software scripts 4 that relevant CDL daily record, alarm log and the public daily record of TopN community are extracted automatically, extract KPI and indicate corresponding service interaction message data, and correspondingly save as and TopN N the CDL file that community is corresponding.
A kind of network problem analytical method adopted in the present embodiment, use the automated software script every day of (for example 0:00-9:00) be correlated with KPI index the whole network level and the cell-level index is extracted and automatic generation form as a result on one's own time, finally by index the relevant CDL daily record of the poorest Top N community, alarm log etc. automatically to extract and be stored in the implementation method concrete steps of specified path as follows:
(1) by the PC(Personal Computer of auto-control software scripts, PC) be connected to the OMC operating desk that extracts the KPI index;
(2) preserve the Python software scripts in PC, according to the demand configuration Python software scripts of the KPI index of existing network required extraction every day, move required parameter;
(3) the Python software scripts 1 of KPI index is extracted in the operation automation, and the operating maintenance terminal that triggers OMC extracts corresponding KPI index automatically;
(4) by extract every day cell-level the KPI index adopt Python software scripts 2 to carry out auto-sequencing, and determine and screening the poorest Top N community, automatically generate corresponding form as a result simultaneously;
(5) will above comprise Top N community as a result the cell information of the first row in form use Python software scripts 3 to carry out the automation extraction;
(6) use Python software scripts 4 that the relevant CDL file of the top Top N cell information obtained, alarm log etc. are extracted automatically, and according to the path of depositing of prior appointment, above-mentioned achievement data and form and relevant CDL file, alarm log etc. were stored in corresponding service server according to the date, carry out further positioning problems and analyze for network optimization personnel.
Step S412: increase the function of automated analysis and statistics in the CDL analytical tool, to the statistics of the data analysis in the CDL file of N Ge Cha community, network optimization personnel provide network optimization analysis report and solution in conjunction with the automatic analysis result.
In the present embodiment, set and utilize existing CDL analytical tool, increase corresponding the analysis and statistical function in this existing CDL analytical tool.But be not limited to this, described in previous embodiment, to the analysis of the CDL file that generates and the realization of statistical function, also can adopt independently CDL analytical tool, or the custom-designed special-purpose CDL analytical tool of being analyzed and adding up for the CDL file generated.
Increasing the function of automated analysis and statistics in the CDL analytical tool, is mainly to be further processed for the CDL file, obtains the essential information of terminal, extracts the relevant information of terminal traffic flow process failure, carries out the analysis of traffic signaling procedure failure and statistics.
During specific implementation,
(1) at first with reference to the demand of existing network KPI index analysis, increase automated analysis and the statistical function of corresponding KPI index in the CDL analytical tool.The access property index of take is example, in the CDL analytical tool, increases RRC and is created as analysis and the statistical function that power and E-RAB are created as the index service exception terminal of power.
(2) concrete KPI indicator-specific statistics analysis item for each, the CDL analytical tool will provide the information list of Gong the contingency question analysis that occurred service exception terminal is relevant in realization, and specifying information comprises:
Whether concrete business datum when when event, the service exception before the community that sequence number, terminal iidentification, service exception occur, time, the metrical information before service exception, service exception that service exception occurs occur occurs, relevant abnormalities recorded information service exception occurs, service exception reason (can tentatively distinguish be core net cause abnormal or base station or terminal to cause), the suggestion of abnormal traffic positioning problems solve the fields such as suggestion of abnormal traffic.
The suggestion of abnormal traffic positioning problems after definite service exception reason, provides the scheme addressed this problem accordingly according to the service exception reason.For example: when KPI index RRC being created as to power being analyzed, when event, the service exception before occurring by the metrical information before service exception, service exception occurs, the relevant abnormalities recorded information obtains the former of service exception because upward signal disturbs the service exception caused, at this abnormal traffic, corresponding service exception reason is so: upward signal disturbs, simultaneously, the abnormal traffic positioning problems suggestion provided accordingly is: the investigation of carrying out uplink detection signal.Such information field can help the outfield staff to locate faster the problem that affects network.
(3) in above-mentioned information list, double-click the terminal of service exception, the CDL analytical tool can be automatically brought to the list of thing display interface that shows this service exception correlated process of this terminal, is convenient to the further rapid analysis of network optimization personnel, locates the possible cause that causes this service exception.
(4) above-mentioned information list can be derived with the Excel file format, and file path and filename can be by network optimization personnel selection and inputs.In the information list of deriving, except comprising above-mentioned sequence number, terminal iidentification, service exception, occur the community at place, fields such as time that service exception occurs, the title that also comprises the CDL file of the end message that stores this service exception, facilitate the network optimization personnel to remove targetedly to search relevant CDL file.
(5) the CDL analytical tool for a certain KPI index except the automated analysis that above-mentioned service exception can be provided, can also be to the statistics of this index.After adopting the CDL analytical tool to carry out analytic statistics to a certain concrete KPI index, except the output information list, can also export corresponding statistics list.The RRC of take is created as power as example, and except the rough statistics that provides success rate, can also further provide concrete statistical information: RRC sets up total degree, and RRC sets up failed total degree; According to service exception causality classification (exhaustive division), statistics miscellaneous service abnormal cause and the RRC that causes sets up the frequency of failure and failed accounting thereof; Add up at times the terminal traffic frequency of failure and failed accounting thereof in Top N community; By the classification of terminal brand, provide number of times and the failed accounting thereof of the terminal generation service fail of various brands, wherein, when definite terminal brand, by the brand of the international mobile subscriber equipment sign of terminal judgement terminal, and then added up.
Network optimization personnel for example, by the information list relevant for service exception, statistics list and other daily record of works of analyzing the output of CDL analytical tool: alarm log, device log, public daily record, the concrete reason that causes network problem is analyzed.The abnormal traffic information analysis result and the statistical information that by the CDL analytical tool, provide, network optimization personnel can carry out quick positioning analysis to the possible problem of KPI Indexes Abnormality fast, provide corresponding optimal solution.
Step S414: network optimization personnel, implement to optimize and improve and testing authentication by base station troubleshooting and system optimization with reference to optimal solution, and complete detailed and complete optimization enforcement daily record.
At present, generally main base station alarm troubleshooting, base station equipment inspection, frequency planning optimization, antenna adjustment, switching neighboring BS relationship are revised, database parameter is revised by taking, interference elimination etc. reaches the purpose of the network optimization.Reduce network congestion rate, reduce cutting off rate, improve call completing rate, improve covering, improve the Network performance quality by the network optimization.
Step S416: control the means fine setting communications network systems such as parameter and community selection parameter by optimization system, contrast verification is optimized the front and back data, completes network optimization final report and the accumulation of network optimization case.
Provide the network problem analytical method by this enforcement, adopt the automatized script program for example at OMC Operation and Maintenance section 0:00-9:00 of relative free time, to carry out on one's own time the relevant daily record extraction of extraction, initial analysis arrangement and the poorest Top N of the index of correlation community of KPI index.Like this, not only can save to greatest extent the time that relevant KPI index and CDL file extract, effectively promote the efficiency of KPI index extraction; And can reduce the negative effect of said extracted work to regular maintenance and Operations Analyst band; And this process participates in without network optimization personnel, has saved manpower, thereby contribute to network optimization personnel can have more sufficient time emphasis to go the result of statistical analysis CDL output, the reason of problem identificatioin also provides corresponding solution.Increase automated analysis and the statistical function for corresponding K PI index in the CDL analytical tool, and detailed interactive information auto-associating when the failure cause of abnormal traffic in the CDL file and abnormal traffic are occurred, provide corresponding approaches, export corresponding analytic statistics report.Adopt the CDL analytical tool to be resolved the data in the CDL file, solved in current network analysis method, when the CDL file is analyzed, by network optimization personnel, the bulk information in the CDL file is analyzed fully, the workload of bringing is large and network optimization personnel technical capability is required to high problem, greatly improve the analysis efficiency of network problem, reach the target of the performance quality of fast lifting network.
Embodiment tetra-
With reference to Fig. 5, show the structured flowchart of a kind of network problem analytical equipment of the embodiment of the present invention four.
The network problem analytical equipment of the present embodiment comprises: determination module 502, determine for using shell script N the poorest community of Key Performance Indicator that produces network problem; Wherein, N is more than or equal to 1 natural number; The first acquisition module 504, obtain N community, the service interaction message data corresponding with Key Performance Indicator for using shell script, and service interaction message data saved as and N N the CDL file that community is corresponding; The first parsing module 506, resolved for call the service interaction message data that the CDL analytical tool preserves N CDL file by shell script, determines N the abnormal traffic in the CDL file; The second parsing module 508, for according to setting rule, abnormal traffic being analyzed, determine the generation reason of abnormal traffic.
Preferably, the first parsing module 506 comprises: judgement submodule 5062: for call the CDL analytical tool by shell script, judge that whether the execution of every service interaction message of preserving in N CDL file is normal; Determine submodule 5064: for carrying out business corresponding to abnormal service interaction message, be defined as abnormal traffic.
Preferably, the second parsing module 508 is being analyzed abnormal traffic according to setting rule, while determining the generation reason of abnormal traffic: analyzed carrying out each concrete business datum corresponding to abnormal service interaction message; According to the abnormal traffic data of storage and the corresponding relation of service exception reason, the result of analysis and service exception reason are complementary, determine the service exception reason that the business corresponding with carrying out abnormal service interaction message is complementary.
Preferably, the network problem analytical equipment of the present embodiment also comprises: the second acquisition module 510, for after the second parsing module 508 is determined the generation reason of abnormal traffic, obtain the service exception information of abnormal traffic, wherein, service exception information comprises: concrete business datum when event, service exception before community that the sign, service exception of the terminal of service exception, described terminal occur, time, service exception that service exception occurs occur occurs occurs; Display module 512, for the display business abnormal information, select and check for the user.
Preferably, the network problem analytical equipment of the present embodiment also comprises: the 3rd acquisition module 514, for after the second acquisition module 510 obtains the service exception information of abnormal traffic, according to definite service exception reason and service exception information, according to matched rule, from the information of the abnormal traffic positioning problems suggestion of storage, obtain the suggestion that solves abnormal traffic; Display module 512 is in the display business abnormal information, for the user, selects and while checking: display business abnormal information and the suggestion that solves abnormal traffic, and select and check for the user.
The network problem analytical equipment of the present embodiment is used for realizing the corresponding network problem analytical method of aforementioned a plurality of embodiment of the method, and has the beneficial effect that corresponding method is implemented, and does not repeat them here.
The invention provides a kind of lifting TD-LTE network KPI(Key Performance Indicator Key Performance Indicator) the automation implementation of On Index positioning analysis efficiency.By this scheme, the KPI achievement data is carried out to automation extraction and analysis, and relevant daily record is carried out to automation extraction and the further refinement analysis of tool using, can effectively reduce the time of network KPI index extraction, the efficiency of fast lifting network KPI Indexes Abnormality Analysis on Issues Related location, thereby effectively improve and promote performance quality and the KPI index of network, improve user awareness.
Each embodiment in this specification all adopts the mode of going forward one by one to describe, and what each embodiment stressed is and the difference of other embodiment that between each embodiment, identical similar part is mutually referring to getting final product.For device embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, relevant part gets final product referring to the part explanation of embodiment of the method.
Above a kind of network problem analytical method provided by the present invention and device are described in detail, applied specific case herein principle of the present invention and execution mode are set forth, the explanation of above embodiment is just for helping to understand method of the present invention and core concept thereof; , for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention simultaneously.
Claims (10)
1. a network problem analytical method, is characterized in that, comprising:
Use shell script to determine N the poorest community of Key Performance Indicator that produces network problem; Wherein, N is more than or equal to 1 natural number;
Use that described shell script obtains in a described N community, the service interaction message data corresponding with described Key Performance Indicator, and described service interaction message data is saved as to N the CDL file corresponding with a described N community;
Call the CDL analytical tool by described shell script the described service interaction message data of preserving in described N CDL file is resolved, determine described N the abnormal traffic in the CDL file; According to setting rule, described abnormal traffic is analyzed, determined the generation reason of described abnormal traffic.
2. method according to claim 1, is characterized in that, describedly calls the CDL analytical tool by described shell script and the described service interaction message data of preserving in described N CDL file is carried out to analyzing step comprise:
Call the CDL analytical tool by described shell script, judge that whether the execution of every service interaction message of preserving in described N CDL file is normal; Be defined as abnormal traffic by carrying out business corresponding to abnormal service interaction message.
3. method according to claim 2, is characterized in that, describedly according to setting rule, described abnormal traffic analyzed, and determines that the generation reason step of described abnormal traffic comprises:
Each concrete business datum corresponding to the abnormal service interaction message of described execution analyzed;
According to the abnormal traffic data of storage and the corresponding relation of service exception reason, the result of described analysis and described service exception reason are complementary, determine the service exception reason that the business corresponding with the abnormal service interaction message of described execution is complementary.
4. method according to claim 3, is characterized in that, after the step of the described generation reason of determining described abnormal traffic, also comprises:
Obtain the service exception information of described abnormal traffic, wherein, described service exception information comprises: concrete business datum when event, service exception before community that the sign, service exception of the terminal of service exception, described terminal occur, time, service exception that service exception occurs occur occurs occurs;
Show described service exception information, for the user, select and check.
5. method according to claim 4, is characterized in that, after the step of the described service exception information of obtaining described abnormal traffic, also comprises:
According to described service exception reason and the described service exception information determined, according to matched rule, from the information of the abnormal traffic positioning problems suggestion of storage, obtain the suggestion that solves described abnormal traffic;
The described service exception information of described demonstration, select the step of checking and browsing to comprise for the user: to show described service exception information and the suggestion that solves described abnormal traffic, for the user, select and check.
6. a network problem analytical equipment, is characterized in that, comprising:
Determination module, determine for using shell script N the poorest community of Key Performance Indicator that produces network problem; Wherein, N is more than or equal to 1 natural number;
The first acquisition module, obtain a described N community, the service interaction message data corresponding with described Key Performance Indicator for using described shell script, and described service interaction message data saved as to N the CDL file corresponding with a described N community;
The first parsing module, resolved for call the described service interaction message data that the CDL analytical tool preserves described N CDL file by described shell script, determines described N the abnormal traffic in the CDL file;
The second parsing module, for according to setting rule, described abnormal traffic being analyzed, determine the generation reason of described abnormal traffic.
7. device according to claim 6, is characterized in that, described the first parsing module comprises:
The judgement submodule, for by described shell script, calling the CDL analytical tool, judge that whether the execution of every service interaction message of preserving in described N CDL file is normal;
Determine submodule, for carrying out business corresponding to abnormal service interaction message, be defined as abnormal traffic.
8. device according to claim 7, it is characterized in that, described the second parsing module is being analyzed described abnormal traffic according to setting rule, and while determining the generation reason of described abnormal traffic: each concrete business datum corresponding to the abnormal service interaction message of described execution analyzed;
According to the abnormal traffic data of storage and the corresponding relation of service exception reason, the result of described analysis and described service exception reason are complementary, determine the service exception reason that the business corresponding with the abnormal service interaction message of described execution is complementary.
9. device according to claim 8, is characterized in that, described network problem analytical equipment also comprises:
The second acquisition module, for after described the second parsing module is determined the generation reason of described abnormal traffic, obtain the service exception information of described abnormal traffic, wherein, described service exception information comprises: concrete business datum when event, service exception before community that the sign, service exception of the terminal of service exception, described terminal occur, time, service exception that service exception occurs occur occurs occurs;
Display module, for showing described service exception information, select and check for the user.
10. device according to claim 9, is characterized in that, described network problem analytical equipment also comprises:
The 3rd acquisition module, for after described the second acquisition module obtains the service exception information of described abnormal traffic, according to described service exception reason and the described service exception information determined, according to matched rule, from the information of the abnormal traffic positioning problems suggestion of storage, obtain the suggestion that solves described abnormal traffic;
Described display module is showing described service exception information, for the user, selects and while checking: show described service exception information and the suggestion that solves described abnormal traffic, for the user, select and check.
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