CN101765084A - Processing method for core network data and device thereof - Google Patents
Processing method for core network data and device thereof Download PDFInfo
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- CN101765084A CN101765084A CN200810240817A CN200810240817A CN101765084A CN 101765084 A CN101765084 A CN 101765084A CN 200810240817 A CN200810240817 A CN 200810240817A CN 200810240817 A CN200810240817 A CN 200810240817A CN 101765084 A CN101765084 A CN 101765084A
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Abstract
The embodiment of the invention discloses a processing method for core network data and a device thereof. In the method, an intelligent analysis platform accesses a system file containing the core network data, reads a key field about the system detection in the system file, obtains the system performance index through the key field according to preset rules, compares the system performance index with an early warning-optimization preset parameter and outputs the comparison result. The method of the embodiment of the invention can extract relevant index used for detecting the operation state of the system intellectually and accurately, thereby providing convenience for maintainers to analyze the server performance of user traffic business quickly and accurately.
Description
Technical field
The present invention relates to communication technical field, relate in particular to a kind of processing method for core network data and device.
Background technology
Along with the arrival in 3G epoch, TD-SCDMA technology is flourish, and is accompanied by economic powerful development, and wireless data communication is had higher requirement.
As shown in Figure 1, the local group-network construction of 2G core net employing at present is: the general all automated back-ups of system file, journal file and the CDR file that switch produces are to the LMT Local Maintenance Terminal of position switching mechanism place machine room.When handling failure alarm or Operation Log inquiry, the system file of backup need be imported to switch b AM (Back Administration Module) Back Administration Module database, perhaps the CDR file with backup imports to the ticket platform, recover historical data, file format commonly used when manually copying into text etc. then and safeguarding (as text file format etc.) is convenient to subsequent analysis and is handled.During file after resolving format conversion,, come the rank of failure judgement or cause the internal cause of fault, perhaps judge type, ticket duration of ticket or the like by the manual search key symbol of the attendant with certain maintenance experience.
System journal, Operation Log analysis and the ticket parsing work of 2G mobile core network at present all is to recover initial data by manual importing backup file, the text file format that file format is changed into easy editor and operation is preserved then, after attendant's searched key character comes the rank of failure judgement or causes the internal cause of fault, perhaps judge type, ticket duration of ticket or the like.
When in the prior art data being analyzed, the format conversion of switch system, daily record and CDR file and analyzing and processing such as all adopt manually at the method for non intelligentization, the analyzing and processing standard of unified standardization not, and its maintenance work efficient is low.And TD-SCDMA will introduce a large amount of novel business, strengthen the complexity of charging, daily record.Adopt above-mentioned traditional analysis processing method reply TD-SCDMA network obstacles promptly and accurately to diagnose and complaint handling.
Summary of the invention
The embodiment of the invention provides a kind of data processing method and device of core net, is used to solve the reply network obstacles diagnosis that prior art can't be promptly and accurately and the problem of complaint handling.
The embodiment of the invention provides a kind of processing method of core network data, comprising:
Intellectualized analysis platform obtains the system file that comprises core network data, and from described system file, read with system and detect relevant critical field, utilize described critical field to obtain system performance index according to predetermined rule, described system performance index and predefined early warning parameters optimization are compared, and the output comparison result.
Wherein, described system file comprises at least one in ALM data, syslog file, System Operation Log file and the syslog file.
After described system performance index and predefined early warning parameters optimization are compared, further comprise:
According to comparison result unusual performance index are carried out mark, extract the performance index and the output that have mark.
Described analysis report comprises: performance index in the fault message that exists in the system, calling information, the system, at processing method that described fault message and calling information proposed with at or several in the network index optimization method that described network index proposed.
The embodiment of the invention also provides a kind of system failure to handle and the index optimization method, comprising:
Intellectualized analysis platform obtains the system file that comprises core network data, and from described system file, read with system and detect relevant critical field, utilize described key character to obtain system performance index according to predetermined rule, described system performance index and predefined early warning parameters optimization are compared, and the output comparison result;
Carry out system failure processing, complaint handling or system performance index optimization according to described comparison result.
Describedly utilize described comparison result to carry out further comprising after system failure processing, complaint handling or the network index optimization:
Add up to analyze with repeatedly testing the analysis report that obtains, obtain the amplitude of variation of each performance index in the system, and according to this amplitude of variation prognoses system fault.
The embodiment of the invention also provides a kind of core network data processing unit, comprising:
Read module is used to obtain the system file that comprises core network data, and reads from described system file with system and detect relevant critical field;
Analysis module is used for utilizing described critical field to obtain system performance index according to predetermined rule;
Comparing module is used for described system performance index and predefined early warning parameters optimization are compared, and the output comparison result.
Mark module is used for according to comparison result unusual performance index being carried out mark, extracts the performance index and the output that have mark.
The embodiment of the invention also provides the device of a kind of system failure processing and index optimization, comprising:
Intelligent analysis module, be used to obtain the system file that comprises core network data, and from described system file, read with system and detect relevant critical field, utilize described critical field to obtain system performance index according to predetermined rule, described system performance index and predefined early warning parameters optimization are compared, and the output comparison result;
Application module is used for carrying out system failure processing, complaint handling or system performance index optimization according to described comparison result.
Prediction module is used for adding up to analyze with repeatedly testing the comparison result that obtains, and obtains the amplitude of variation of each performance index in the system, and according to this amplitude of variation prognoses system fault.
In embodiments of the present invention, to be converted into the system file of readable text format through significant data rapid analysis algorithm (Fast Data Parsing Algorithm, FDPA) extract the performance index relevant with regular maintenance, and these performance index and the early warning parameters optimization that sets in advance compared, and detect and early warning system hidden danger according to comparison result.
Description of drawings
Fig. 1 is the flow chart of prior art 2G core net to the data collection analysis;
Fig. 2 is the flow chart of a kind of processing method for core network data of the embodiment of the invention;
Fig. 3 is the flow chart of a kind of system failure processing of the embodiment of the invention and index optimization method;
Fig. 4 is the installation drawing of a kind of core network data processing unit of the embodiment of the invention;
Fig. 5 handles for a kind of system failure that provides in the embodiment of the invention and the installation drawing of index optimization device.
Embodiment
A kind of processing method for core network data of the embodiment of the invention, intellectualized analysis platform obtains the system file of readable text format, and from described system file, read with system and detect relevant critical field, utilize described key character to obtain system performance index according to predetermined rule, described system performance index and predefined early warning parameters optimization are compared, and the output comparison result.
As shown in Figure 2, the embodiment of the invention also provides a kind of processing method for core network data, and concrete steps comprise:
Described critical field is extracted according to the test needs, detect then extract the critical field relevant if this time is the warning information to system with alarm, in addition, described system file generally includes alarm data, syslog file, System Operation Log file and system's CDR file.
Wherein, as shown in table 1, the performance index of required in the present embodiment calculating and comparison include but are not limited to following several, if just a certain item is wherein detected then only need read the critical field relevant and calculate and compare with this:
| Alarm number of times and alert frequency calculate | The performance index early warning relatively |
| The switch log statistic calculates | Ticket is resolved the user and is dialed information extraction |
| The traffic indicator composite statistical calculations |
Table 1
Also comprise a plurality of events in above-mentioned every performance index, for example alarm in number of times and the alert frequency and just comprise: single board default, M3UA link failure, emergency work station's disconnection etc.
Alarm number of times and frequency computation part: wherein alarm the number of times statistics: with " so the BSG veneer is fault warning " be example, algorithm in the alarm data file according to the number of times of character string statistical computation (moon, season, half a year etc.) appearance in some cycles.
Alert frequency: the number of times of hardware alarm appears (moon, season, half a year etc.) in the algorithm statistical computation in some cycles, frequency=BSG single board default alarm number of times/hardware alarm number of times * 100%
The traffic indicator composite statistical calculations: with " call successful rate " is example, algorithm in system file according to character string statistical computation (minute, hour, day etc.) in some cycles:
Call successful rate=certain hour call is number of success/certain hour call count * 100%; And then can calculate average average call success rate hourly every day or the like.
The switch log statistic is analyzed: " board switchover " number of times statistic algorithm in journal file according to the number of times of character string statistical computation (moon, season, half a year etc.) appearance in some cycles.
Judge whether and to cause the switch significant trouble owing to switch number of times in conjunction with warning file.
The performance index early warning: the threshold value that " veneer CPU early warning " veneer CPU switch is set is 90% generation alarm automatically, and algorithm scanning CPU value is red to this numerical value mark immediately if numerical value reaches 85%, is convenient to attendant's advanced processing.
Ticket is resolved: original bill files is carried out the information extraction of associated user's critical data, by the key character search information of dialing that the attendant pays close attention to is extract, be convenient to the attendant and search fast.
Can also comprise a plurality of events during above-mentioned in embodiments of the present invention every analytical calculation, can add in the analysis project according to the needs of practical application.
For the ease of analyzing, can also unusual performance index be carried out mark according to comparison result in the present embodiment, for example, unusual index is carried out coloured marking.
Wherein, when defining described early warning parameters optimization, the factor of analysis comprises:
Syslog analysis: the analytical system journal file, conclude system log that may cause the great alarm of system and the key user's behavior that influences system safety operation of summing up.
Alarm data is analyzed: in conjunction with the index of self paying close attention to, extract valuable relatively warning information, carry out analysis, the diagnosis of system, propose the plant maintenance scheme targetedly.
Performance data analysis: wireless indexes such as the paging success rate of RNC, telephone traffic are paid close attention to, analyzed, cooperate wireless side that whole network is optimized; Be concerned about the relaying load condition of each network element, propose rational relaying planning.
In addition, because the particularity of TD business, the embodiment of the invention also can provide the analysis at the TD-SCDMA ticket, difference in the face of TD format of billing and the existence of 2G ticket, by data such as key character way of search definition ticket type, the duration of calls, data after will redefining are then analyzed the TD ticket, thereby improve accuracy and promptness that Users'Data Analysis is handled.
Significant data is analyzed: the dual-homed data of system, office data etc. are carried out analysis, the verification of intelligence, but the accuracy of intelligent decision data.
Further, for output variable that reduces data and the problem of being convenient to exist in the analytical system of attendant according to the output visual result, can also comprise in the present embodiment:
Wherein, in this analysis report, can comprise following content:
The fault message that exists in A, the system, calling information and network index.
B, at processing scheme that described fault message and calling information proposed and at network index prioritization scheme that described network index proposed.
In addition, the system index for the fault and the needs that exist in the embodiment system are more intuitively analyzed can only comprise the anomalous performance index that is labeled in the then described analysis report.
Wherein, the method that the embodiment of the invention provided is handled applicable to TD-SCDMA, the WCDMA of 3G, the core network data of CDMA2000 system, also handles applicable to the core network data of 2G system simultaneously.
As shown in Figure 3, a kind of system failure of the embodiment of the invention is handled and the index optimization method, specifically comprises step:
Wherein, described FDPA algorithm comprises: read from described system file and detect relevant critical field according to the requirement that detects, and utilize described critical field to obtain system performance index according to predetermined rule, described system performance index and predefined early warning parameters optimization are compared, output is exported comparison result with readable text format, i.e. system running state information.
Can also be before the reading system file by switch the binary system file of self preserving be converted into the file of readable text format for the ease of intellectualized analysis platform analysis, system file comprises: alarm data (Alarm.dat), syslog file (Log.dat), System Operation Log file (Xman.dat), system's CDR file (Bill.dat).
Further, provide the purpose of hidden danger in order to reach prediction, the embodiment of the invention also can comprise step:
As shown in Figure 4, the embodiment of the invention also provides a kind of core network data processing unit, comprises read module 401, analysis module 402, comparing module 403:
Read module 401 is used to obtain the system file that comprises core network data, and reads from described system file with system and detect relevant critical field;
Comparing module 403 is used for described system performance index and predefined early warning parameters optimization are compared, and the output comparison result.
Wherein, also be used for comparison result is exported with text file format in order to embody the described comparing module of analysis result intuitively.
In addition, for the output variable that reduces data and maintain easily personnel inquiry, in this device, can also comprise:
As shown in Figure 5, the embodiment of the invention also provides the device of a kind of system failure processing and index optimization, comprises intelligent analysis module 501, application module 502:
For further, the problem that exists in the analytical system and in this device, can also comprise to the prediction of the system failure:
The method of utilizing the embodiment of the invention to provide has realized parsing, statistics and the conversion storage backup to significant data, provides the significant data foundation for solving equipment fault processing and customer complaint processing, for network performance index optimization provides theoretical reference.
In the embodiment of the invention, the FDPA algorithm detect can this is unusual after the performance index unusual in the system performance index carry out mark, in the output result, select just output to have the performance index of mark then, thereby, also reduced the data volume that the attendant need analyze simultaneously reducing the system data output variable.
Realize the intellectual analysis of the User operation log of core network, and utilize early warning mechanism to risky operation behavior effectively supervise and control; Finish analysis, the conclusion of the alarm log of equipment, propose plant maintenance scheme with strong points.
In addition, can also realize the analysis of TD ticket at the TD-SCDMA system, intelligence is extracted the related data of user in the ticket accurately, is convenient to attendant's professional operating position of analysis user traffic rapidly and accurately.
Method of the present invention is not limited to the embodiment described in the embodiment, and those skilled in the art's technical scheme according to the present invention draws other execution mode, belongs to technological innovation scope of the present invention equally.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.
Claims (14)
1. a processing method for core network data is characterized in that, comprising:
Intellectualized analysis platform obtains the system file that comprises core network data, and reads from described system file with system and detect relevant critical field;
Utilize described critical field to obtain system performance index according to predetermined rule, described system performance index and predefined early warning parameters optimization are compared, and the output comparison result.
2. the method for claim 1 is characterized in that, described system file comprises at least one in ALM data, syslog file, System Operation Log file and the syslog file.
3. the method for claim 1 is characterized in that, described comparison result is exported with text file format.
4. the method for claim 1 is characterized in that, after described system performance index and predefined early warning parameters optimization are compared, further comprises:
According to comparison result unusual performance index are carried out mark, extract the performance index and the output that have mark.
5. method as claimed in claim 3 is characterized in that, described analysis report comprises:
Performance index in the fault message that exists in the system, calling information, the system, at processing method that described fault message and calling information proposed with at one or several in the network index optimization method that described network index proposed.
6. as the described method of the arbitrary claim of claim 1～5, it is characterized in that described core net is the TD-SCDMA core net.
7. a system failure is handled and the index optimization method, it is characterized in that, comprising:
Intellectualized analysis platform obtains the system file that comprises core network data, and from described system file, read with system and detect relevant critical field, utilize described key character to obtain system performance index according to predetermined rule, described system performance index and predefined early warning parameters optimization are compared, and the output comparison result;
Carry out system failure processing, complaint handling or system performance index optimization according to described comparison result.
8. method as claimed in claim 7 is characterized in that described comparison result is exported with text file format.
9. method as claimed in claim 7 is characterized in that, describedly utilizes described comparison result to carry out further comprising after system failure processing, complaint handling or the network index optimization:
Add up to analyze with repeatedly testing the comparison result that obtains, obtain the amplitude of variation of each performance index in the system, and according to this amplitude of variation prognoses system fault.
10. a core network data processing unit is characterized in that, comprising:
Read module is used to obtain the system file that comprises core network data, and reads from described system file with system and detect relevant critical field;
Analysis module is used for utilizing described critical field to obtain system performance index according to predetermined rule;
Comparing module is used for described system performance index and predefined early warning parameters optimization are compared, and the output comparison result.
11. device as claimed in claim 10 is characterized in that, described comparing module also is used for exporting described comparison result with the text formatting file.
12. device as claimed in claim 10 is characterized in that, this device also comprises:
Mark module is used for according to comparison result unusual performance index being carried out mark, extracts the performance index and the output that have mark.
13. the system failure is handled and the device of index optimization, it is characterized in that, comprising:
Intelligent analysis module, be used to obtain the system file that comprises core network data, and from described system file, read with system and detect relevant critical field, utilize described critical field to obtain system performance index according to predetermined rule, described system performance index and predefined early warning parameters optimization are compared, and the output comparison result;
Application module is used for carrying out system failure processing, complaint handling or system performance index optimization according to described comparison result.
14. device as claimed in claim 13 is characterized in that, this device also comprises:
Prediction module is used for adding up to analyze with repeatedly testing the comparison result that obtains, and obtains the amplitude of variation of each performance index in the system, and according to this amplitude of variation prognoses system fault.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102662794A (en) * | 2012-03-09 | 2012-09-12 | 无锡华御信息技术有限公司 | System and method for document data backup |
| CN102790695A (en) * | 2012-07-23 | 2012-11-21 | 华为技术有限公司 | Diagnostic system and method for performance bottleneck of server I/O (input/output) subsystem |
| CN103473370A (en) * | 2013-09-29 | 2013-12-25 | 贵州省广播电视信息网络股份有限公司 | Method for realizing dynamic backtracing of broadcasting and TV (television) systems |
| WO2015027816A1 (en) * | 2013-08-26 | 2015-03-05 | Tencent Technology (Shenzhen) Company Limited | Devices and methods for acquiring abnormal information |
| CN105205144A (en) * | 2015-09-18 | 2015-12-30 | 北京百度网讯科技有限公司 | Method and system used for data diagnosis and optimization |
| CN107528740A (en) * | 2017-09-26 | 2017-12-29 | 北京思特奇信息技术股份有限公司 | A kind of method and system that alarm is sent based on ticket |
| CN110362545A (en) * | 2019-05-27 | 2019-10-22 | 平安科技（深圳）有限公司 | Log monitoring method, device, terminal and computer readable storage medium |
| CN110611576A (en) * | 2018-06-14 | 2019-12-24 | 亿阳信通股份有限公司 | Data quality monitoring method, device, equipment and storage medium |
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- 2008-12-24 CN CN200810240817A patent/CN101765084A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102662794A (en) * | 2012-03-09 | 2012-09-12 | 无锡华御信息技术有限公司 | System and method for document data backup |
| CN102790695A (en) * | 2012-07-23 | 2012-11-21 | 华为技术有限公司 | Diagnostic system and method for performance bottleneck of server I/O (input/output) subsystem |
| CN102790695B (en) * | 2012-07-23 | 2015-03-25 | 华为技术有限公司 | Diagnostic system and method for performance bottleneck of server I/O (input/output) subsystem |
| CN104424094B (en) * | 2013-08-26 | 2019-04-23 | 腾讯科技（深圳）有限公司 | A kind of exception information acquisition methods, device and intelligent terminal |
| WO2015027816A1 (en) * | 2013-08-26 | 2015-03-05 | Tencent Technology (Shenzhen) Company Limited | Devices and methods for acquiring abnormal information |
| CN104424094A (en) * | 2013-08-26 | 2015-03-18 | 腾讯科技（深圳）有限公司 | Method and device for obtaining abnormal information and intelligent terminal device |
| US9489292B2 (en) | 2013-08-26 | 2016-11-08 | Tencent Technology (Shenzhen) Company Limited | Devices and methods for acquiring abnormal information |
| CN103473370A (en) * | 2013-09-29 | 2013-12-25 | 贵州省广播电视信息网络股份有限公司 | Method for realizing dynamic backtracing of broadcasting and TV (television) systems |
| CN105205144A (en) * | 2015-09-18 | 2015-12-30 | 北京百度网讯科技有限公司 | Method and system used for data diagnosis and optimization |
| CN105205144B (en) * | 2015-09-18 | 2019-03-26 | 北京百度网讯科技有限公司 | Method and system for data diagnosis optimization |
| CN107528740A (en) * | 2017-09-26 | 2017-12-29 | 北京思特奇信息技术股份有限公司 | A kind of method and system that alarm is sent based on ticket |
| CN110611576A (en) * | 2018-06-14 | 2019-12-24 | 亿阳信通股份有限公司 | Data quality monitoring method, device, equipment and storage medium |
| CN110611576B (en) * | 2018-06-14 | 2023-05-09 | 亿阳信通股份有限公司 | Data quality monitoring method, device, equipment and storage medium |
| CN110362545A (en) * | 2019-05-27 | 2019-10-22 | 平安科技（深圳）有限公司 | Log monitoring method, device, terminal and computer readable storage medium |
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Application publication date: 20100630 |