CN103596208B - Method and system for judging fault of network element - Google Patents

Method and system for judging fault of network element Download PDF

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Publication number
CN103596208B
CN103596208B CN201310576422.9A CN201310576422A CN103596208B CN 103596208 B CN103596208 B CN 103596208B CN 201310576422 A CN201310576422 A CN 201310576422A CN 103596208 B CN103596208 B CN 103596208B
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network element
fault
warning information
time
failure
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CN103596208A (en
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张恒
赵荣
郑勇
李重戬
张敏
战照鹏
侯磊
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Datang Mobile Communications Equipment Co Ltd
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Datang Mobile Communications Equipment Co Ltd
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Abstract

The invention relates to the wireless network technology, in particular to a method for judging a fault of a network element. The method for judging the fault of the network element comprises the steps of S1, collecting alarm information of the network element according to a preset time period; S2, obtaining unhandled alarm information according to alarm handling zone bits; S3, grouping the unhandled alarm information according to an ID of the network element, analyzing the unhandled alarm information, and determining the type of the fault of the network element; S4, carrying out fault prejudgment based on historical fault information if the type of the fault of the network element cannot be determined, and determining the log extraction type; S5, having access to the network element according to the log extraction type to obtain logs of the network element; S6, carrying out fault analysis according to the logs of the network element, comparing the fault analysis result and the fault prejudgment result, marking the alarm handling zone bits of the alarm information to be handled if the fault analysis result and the fault prejudgment result are consistent, modifying the fault prejudgment result to be the fault analysis result if the fault analysis result and the fault prejudgment result are not consistent, and marking the alarm handling zone bits to be handled. Due to the fact that fault prejudgment is carried out on an alarm of the network element, fault removal efficiency can be improved, and manpower can be saved.

Description

A kind of network element failure determination methods and system
Technical field
The present invention relates to radio network technique, more particularly, to a kind of network element failure determination methods and device.
Background technology
In wireless network, OMC is typically passed through in the accident analysis of network element(Operation and Management centre) The daily record running the alarm combination of shape and state network element reported up with administrative center carries out manual analyses.
The analysis of network element alarming at present typically adopts following steps:
1. extract network element alarming from OMC;
2. according to the dependency of time and network element, alarm is filtered, the related alarm of referred to as one group of the alarm filtering out;
3. the alarm form failure judgement reason according to related alarm, if can not judge to execute the 4th step;
4. access alarm network element;
5. obtain network element log;
6. pass through network element log positioning failure reason.
In terms of the analytical procedure situation of current network element alarming, if the network element producing alarm can not be accessed, can not execute Above-mentioned steps 4, then cannot normally execute above-mentioned 5th, 6 step, thus network element failure can not be judged, during causing distribute leaflets troubleshooting It is unable to the problem of positioning failure reason.
Content of the invention
The technical problem to be solved is in the case that network element produces alarm, if generation alarm can not be accessed Network element, then can not judge network element failure it is impossible to positioning failure reason.
For this purpose it is proposed, the present invention proposes a kind of network element failure determination methods, the method includes:
S1. the warning information of cycle Real-time Collection network element to schedule, and stored;
S2. untreated warning information is obtained from the warning information being stored according to alarming processing flag bit;
S3. according to NE ID, described untreated warning information is grouped and is carried out according to every group of untreated warning information Analysis, positions network element failure type;
If S4. network element failure type can not be positioned, carry out fault anticipation and position daily record based on historical failure information Extract type;
S5. type of access network element is extracted according to described daily record, obtain network element log.
S6. accident analysis is carried out according to described network element log, by the result of described accident analysis and described fault anticipation knot Fruit is compared, if both are consistent, the alarming processing flag bit of this warning information is labeled as processed;If differed Cause, then changing described fault anticipation result is described failure analysis result, and the alarming processing flag bit mark by this warning information It is designated as processed.
Optionally, it is numbered using the warning information that enumerator is described collection when gathering warning information, and record announcement Alert numbering.
Optionally, the alarming processing flag bit arranging gathered warning information after collection warning information is untreated.
Optionally, also include between step S5 and step S6:
Acquired network element log is stored in the storage device;
Type is extracted according to daily record and searches network element log from described storage device.
Optionally, described fault anticipation is carried out based on historical failure information specifically include:
Determine network element failure repairing efficiency T;
Search the historical failure list of described network element, and every species in described repairing efficiency T is counted according to this historical failure list The frequency of type fault;
Record frequency in described repairing efficiency to rank forefront the fault type of several;
There is the probability of recorded fault type using time correlation coefficient estimate current alarm information.
Optionally, described estimation current alarm information occurs the probability of recorded fault type to specifically include:
Record the number of stoppages A of the most fault type a of number of times that breaks down in repairing efficiency;
In current alert time t<tLast time fault+ T or t=tLast time faultDuring+T, using formula A × [1+ (1/ current alert time The little time difference with the historical failure time) × B], B is inclination angle value coefficient, for dynamic adjustment fault frequency and time difference Relation, wherein tLast time faultRepresent the time that last time fault occurs;
In current alert time t>tLast time faultDuring+T, using formula A × [1+ (1/ current alert time and historical failure time The little time difference) × C], C is inclination angle value coefficient, for the relation of dynamic adjustment fault frequency and time difference.
Optionally, described network element is base station.
Present invention also offers a kind of network element failure judges system, this system includes:
Network element alarming acquisition module, for the warning information of cycle Real-time Collection network element to schedule and deposited Storage;
Network element failure analyzes anticipation module, is searched according to alarming processing flag bit and do not locate in the warning information of described storage Reason warning information, is grouped to described untreated warning information according to NE ID and is carried out according to every group of untreated warning information Analysis, positions network element failure type, or it is impossible to positions network element failure type and be based on historical failure information and carry out fault anticipation And position daily record extraction type, notify network element log extraction module that daily record is extracted, from storage device, finally search net First daily record;
Network element log extraction module, extracts type of access network element according to described daily record, obtains network element log and proposes daily record Success message is taken to notify network element failure analysis anticipation module.
Described accident analysis anticipation module carries out accident analysis according to described network element log, by the result of described accident analysis It is compared with described fault anticipation result, if both are consistent, the alarming processing flag bit of this warning information is labeled as Processed;If it is inconsistent, changing described fault anticipation result is described failure analysis result, and the announcement by this warning information Alert process flag bit is labeled as processed.
Optionally, described alarm collection module is numbered by the warning information that enumerator is collection, and records alarm Numbering.
Optionally, acquired network element log is stored in the storage device by described network element log extraction module, described event Barrier analysis anticipation module is extracted type according to the daily record of positioning and is searched network element log from described storage device.
Optionally, described accident analysis anticipation module specifically includes:
Determining unit, for determining network element failure repairing efficiency T;
Search statistic unit, for searching the historical failure list of described network element, and according to this historical failure list statistics The frequency of each type fault in repairing efficiency T;
Recording unit, ranks forefront the fault type of several for recording frequency in described repairing efficiency;
, for there are the several of recorded fault type using time correlation coefficient estimate current alarm information in evaluation unit Rate.
Optionally, break down in described recording unit records repairing efficiency the fault time of the most fault type a of number of times Number A;
In current alert time t<tLast time fault+ T or t=tLast time faultDuring+T, described evaluation unit utilizes formula A × [1+ (1/ Current alert time and the little time difference of historical failure time) × B], B is inclination angle value coefficient, occurs secondary for dynamic adjustment fault Number and the relation of time difference, in current alert time t>tLast time faultDuring+T, described evaluation unit is using formula A × [(1/ is current for 1+ The little time difference of alarm time and historical failure time) × C], C is inclination angle value coefficient, for dynamic adjustment fault frequency with The relation of time difference, wherein tLast time faultRepresent the time that last time fault occurs.
Optionally, described alarm collection module gathers warning information by accessing OMC server.
Optionally, described alarm collection module, network element log extraction module are disposed on one server, and accident analysis is pre- Survey module to be deployed on another server.
Optionally, described alarm collection module, network element log extraction module are all by SOCKET and accident analysis anticipation mould Block carries out data interaction.
Optionally, described network element log extraction module adopts SNMP to instruct, and is carried out with network element by radio network controller Communication.
Optionally, described network element is base station.
By carrying out alerting anticipation using historical failure using a kind of network element failure determination methods disclosed in this invention, First with respect to the method currently carrying out network element failure analysis using manual type, this method provide the event of automated analysiss network element The means of barrier, secondly, temporarily cannot extract the network element of daily record for needing daily record to judge, can only manually process at present, and The method carries out fault deduction using the historical analysises method of sampling of science, according to the safe formula through checking, can be lifted Existing network troubleshooting efficiency, saving manpower.
Brief description
The features and advantages of the present invention can be more clearly understood from by reference to accompanying drawing, accompanying drawing is schematic and should not manage Solution is to carry out any restriction to the present invention, in the accompanying drawings:
Fig. 1 shows the workflow diagram of base station alarm information gathering;
Fig. 2 shows the workflow diagram that BTS log extracts;
Fig. 3 shows that base station fault analyzes the workflow diagram of anticipation;
Fig. 4 shows that network element failure analyzes the workflow diagram of anticipation;
Fig. 5 shows that base station fault judges the workflow diagram of system;
Fig. 6 shows that base station fault analyzes the cut-away view of anticipation module;
Fig. 7 shows that network element failure judges the workflow diagram of system;
Fig. 8 shows that network element failure analyzes the cut-away view of anticipation module;
Fig. 9 shows that base station fault judges the network topology schematic diagram of system;
Figure 10 shows that network element failure judges the network topology schematic diagram of system.
Specific embodiment
The present invention provides a kind of network element failure decision method and system, below in conjunction with accompanying drawing, embodiments of the invention is entered Row describes in detail.
Embodiment 1:
Specifically disclose in the present embodiment a kind of to TD-SCDMA (Time Division-Syn-chronization Code Division Multiple Access) method that carries out fault verification of the base station NODEB in network.
First, the warning information of cycle Real-time Collection base station to schedule, and stored.As shown in figure 1, according to The predetermined time cycle accesses OMC(Operation and Management centre)Server, judging whether can be with OMC sets up and connects if it is possible to set up normal connection, then obtain all of base station alarm information in the described time cycle, Obtain and counted and number using every warning information that enumerator is described collection during described base station alarm information, at one After time cycle terminates, record the numbering of gathered the last item warning information so that next time cycle collection alerts During information, the numbering of warning information is added up on the basis of described the last item warning information is numbered, that is, each cycle adopt The starting point of collection warning information is that last alarm numbering of last cycle warning information collection Jia 1.Collect the last item After warning information, all warning information of collection are labeled as untreated, and store in data base.By such collection side Formula can control the Real-time Collection of warning information, due to alerting numbering by counter records, ensure that warning information will not Lose.
Next, as shown in Fig. 2 accessing storage base station alarm information database, institute is retrieved according to alarming processing flag bit There is untreated warning information.According to base station IDs, sorting and grouping is carried out to described untreated warning information, by sort out find and The related warning information of fault(I.e. crucial warning information), such as cell is moved back and is taken warning information, and every group of crucial warning information can be entered One step is according to time span(Such as 3 minutes)It is grouped further.Every group of crucial warning information accompanying alarm dependency is entered Row analysis, locating base station fault type if it is possible to directly judge failure cause, then the fault judged described in record, and The process flag bit of described warning information is revised as processed, in this case it is not necessary to extract BTS log;If can not Judge failure cause, then positioning daily record is extracted type and carried out fault anticipation based on historical failure information.
After type is extracted in positioning daily record, described daily record extraction type is added to log acquisition notification queue.As Fig. 3 institute Show, after receiving the instruction obtaining daily record, can be extracted according to the daily record extracted Bao Kuo the daily record of described positioning including type and require, group Knit SNMP (Simple Network Management Protocol, Simple Network Management Protocol) instruction, being capable of just frequentation When asking base station, issue SNMP and instruct corresponding base station, base station prepares corresponding daily record and uploads described daily record according to described instruction. After log acquisition success, remove corresponding alarm information in log acquisition notification queue, and be embodied in obtaining successful daily record In log acquisition success notification queue.It is likely to asynchronous with fault anticipation analysis process because BTS log extracts(As base station The fault occurring makes base station can not be accessed), the BTS log of extraction preferably according to (Log Types base station IP alarm compile Number) file path storage.
According to the log analysis failure cause extracted, described failure cause is compared with described fault anticipation result, If consistent, directly corresponding alarming processing is masked as being revised as processed, otherwise correction anticipation result, and will be corresponding Alarming processing is masked as being revised as processed.
Fault anticipation is carried out based on historical failure information, specifically includes:
Determine network element failure repairing efficiency T first;
Secondly search the historical failure list of base station, and each type event in repairing efficiency T is counted according to this historical failure list The frequency of barrier;
Then in record repairing efficiency T, frequency ranks forefront the fault type of several;
Finally there is the probability of recorded fault type using time correlation coefficient estimate current alarm information.
Estimation current alarm information occurs the probability of recorded fault type to specifically include:
Record the number of stoppages A of the most fault type a of number of times that breaks down in repairing efficiency;
In current alert time t<tHistorical failure+ T or t=tHistorical failureDuring+T, using formula A × [1+ (1/ current alert time The little time difference with historical failure time of origin) × B], B is inclination angle value coefficient, for dynamic adjustment fault frequency and time The relation of difference, wherein tHistorical failureRepresent the time that historical failure occurs;
In current alert time t>tHistorical failureDuring+T, using formula A × [(1/ current alert time is occurred 1+ with historical failure The little time difference of time) × C], C is inclination angle value coefficient, for the relation of dynamic adjustment fault frequency and time difference.
For the fault in repairing efficiency, i.e. current alert time t<tHistorical failure+ T or t=tHistorical failureDuring+T, anticipation from The nearer probability of failure of current time is bigger, and according to actual measurement situation, the present embodiment inclination value coefficient B is statistical prejudgement when 0.618 Success rate highest.
For the fault outside repairing efficiency, i.e. current alert time t>tHistorical failureDuring+T, anticipation from current time more close to Probability of failure is bigger, and according to actual measurement situation, the present embodiment inclination angle value coefficient C is statistical prejudgement success rate highest when 0.382.
Historical failure inside and outside repairing efficiency is all had an impact to anticipation result based on temporal correlation, going through outside the modification cycle History fault is less on the impact of anticipation result, and the historical failure in repairing efficiency affects larger on anticipation result.
Embodiment 2
Base station in embodiment 1 can be replaced the RNC in 3G network(Radio Network Management)Wireless network Any network element in any networks such as the base station in network controller, wireless terminal, 4G network, that is, present embodiments provide a kind of net First fault judgment method, as shown in figure 4, the method includes:S1. the alarm of cycle Real-time Collection network element is believed to schedule Breath, and stored;S2. untreated warning information is obtained from the warning information being stored according to alarming processing flag bit; S3. according to NE ID, described untreated warning information is grouped and is analyzed according to every group of untreated warning information, fixed Position network element failure type;If S4. network element failure type can not be positioned, fault anticipation is carried out based on historical failure information and determines Type is extracted in position daily record;S5. type of access network element is extracted according to described daily record, obtain network element log.S6. according to described network element day Will carries out accident analysis, and the result of described accident analysis is compared with described fault anticipation result, if both are consistent, The alarming processing flag bit of this warning information is labeled as processed;If it is inconsistent, change described fault anticipation result being Described failure analysis result, and the alarming processing flag bit of this warning information is labeled as processed.
Specifically the operation of each step is same as Example 1, will not be described here.
Embodiment 3:
Specifically disclose a kind of base station fault in the present embodiment and judge system, this system includes:
As shown in figure 5, base station fault judges that system includes three modules:Base station alarm acquisition module, base station fault analysis Anticipation module, BTS log extraction module.Each module work is as follows:
Base station alarm acquisition module, for the warning information of cycle Real-time Collection base station to schedule and deposited Storage, during storage, the process flag bit of the warning information of setting collection is untreated.It is collection that alarm collection module passes through enumerator Warning information be numbered, and record alarm numbering.
Base station fault analyzes anticipation module, is searched according to alarming processing flag bit and do not locate in the warning information of described storage Reason warning information, is grouped to described untreated warning information according to NE ID and is carried out according to every group of untreated warning information Analysis, locating base station fault type, or it is impossible to locating base station fault type and be based on historical failure information and carry out fault anticipation And position daily record extraction type, the daily record according to positioning is extracted type notification BTS log extraction module and daily record is extracted, Last lookup BTS log from storage device.
Described base station fault analysis anticipation module carries out accident analysis according to described BTS log, by described accident analysis Result is compared with described fault anticipation result, if both are consistent, by the alarming processing flag bit mark of this warning information It is designated as processed;If it is inconsistent, changing described fault anticipation result is described failure analysis result, and by this warning information Alarming processing flag bit be labeled as processed.
BTS log extraction module, extracts type of access base station according to described daily record, obtains BTS log, and will be acquired BTS log be stored in daily record local disk, by BTS log extract successfully message deposit daily record extract success notification team In row.
Described base station fault judges that the Whole Work Flow of system is:
System overall operation from the beginning of base station alarm acquisition module, by the data storage collecting in data base, base station Accident analysis anticipation module obtains data from data base and is analyzed, for needing to check the fault that daily record just can confirm that, institute Stating base station fault analysis anticipation module needs to carry out anticipation, and detailed process is as described in example 1 above.Then triggering BTS log carries Delivery block carries out the extraction of daily record.When daily record extract after the completion of BTS log adopt extraction block daily record is left in local disk, and BTS log collection success message is left in daily record extracts successfully in notification queue, to notify base station fault to analyze anticipation module The BTS log having extracted from local acquisition is analyzed, and after the completion of analysis is compared analysis result with fault anticipation result Right, if both are consistent, the alarming processing flag bit of this warning information is labeled as processed;If it is inconsistent, modification Described fault anticipation result is described failure analysis result, and the alarming processing flag bit of this warning information is labeled as locating Reason.
As shown in fig. 6, described base station fault analysis anticipation module specifically may include:
Determining unit 1, for determining base station fault repairing efficiency T;
Search statistic unit 2, for searching the historical failure list of described base station, and according to this historical failure list statistics The frequency of each type fault in repairing efficiency T;
Recording unit 3, ranks forefront the fault type of several for recording frequency in described repairing efficiency;
, for there is recorded fault type using time correlation coefficient estimate current alarm information in evaluation unit 4 Probability, this element can be analyzed the formula in pre-judging method using the base station fault described in embodiment 1 and be estimated.
Embodiment 4
The present embodiment specifically discloses a kind of network element failure and judges system, as shown in fig. 7, this system includes:
Network element alarming acquisition module, for the warning information of cycle Real-time Collection network element to schedule and deposited Storage;
Network element failure analyzes anticipation module, is searched according to alarming processing flag bit and do not locate in the warning information of described storage Reason warning information, is grouped to described untreated warning information according to NE ID and is carried out according to every group of untreated warning information Analysis, positions network element failure type, or it is impossible to positions network element failure type and be based on historical failure information and carry out fault anticipation And position daily record extraction type, notify network element log extraction module that daily record is extracted, from storage device, finally search net First daily record;
Network element log extraction module, extracts type of access network element according to described daily record, obtains network element log, and daily record is carried Success message is taken to notify network element failure analysis anticipation module.
Described accident analysis anticipation module carries out accident analysis according to described network element log, by the result of described accident analysis It is compared with described fault anticipation result, if both are consistent, the alarming processing flag bit of this warning information is labeled as Processed;If it is inconsistent, changing described fault anticipation result is described failure analysis result, and the announcement by this warning information Alert process flag bit is labeled as processed.
As shown in figure 8, described network element failure analysis anticipation module specifically includes:
Determining unit 1, for determining network element failure repairing efficiency T;
Search statistic unit 2, for searching the historical failure list of described network element, and according to this historical failure list statistics The frequency of each type fault in repairing efficiency T;
Recording unit 3, ranks forefront the fault type of several for recording frequency in described repairing efficiency;
, for there is recorded fault type using time correlation coefficient estimate current alarm information in evaluation unit 4 Probability.
Described network element is preferably the base station in the various network system of 3G/4G/5G, alternatively radio network controller, movement Other network element such as terminal.
Embodiment 5
Base station fault described in embodiment 3 judges system when implementing, as shown in figure 9, base station alarm can be gathered mould Block, BTS log extraction module are disposed on one server, and base station fault analyses and prediction module is deployed in another service On device, described base station alarm acquisition module, BTS log extraction module all are realized analyzing anticipation with base station fault by SOCKET The data interaction of module, data base can individually dispose or be deployed on described another server, described base station alarm collection Module gathers warning information by accessing OMC server, described BTS log extraction module passes through to access base station(NodeB)Obtain Take BTS log, access and can be communicated with base station by RNC transparent transmission using SNMP instruction during base station.
Embodiment 6
The network element failure implemented in 4 judges system when implementing, and as shown in Figure 10, network element alarming can be gathered mould Block, network element log extraction module are disposed on one server, and network element failure analyses and prediction module is deployed in another service On device, described network element alarming acquisition module, network element log extraction module all are realized analyzing anticipation with network element failure by SOCKET The data interaction of module, data base can individually dispose or be deployed on described another server, described network element alarming collection By accessing, network element data administrative center gathers warning information to module, described network element log extraction module is obtained by access network element Take network element log, access and can be communicated with network element by wireless network connection unit transparent transmission using SNMP instruction during network element.
Application technical scheme, it is possible to achieve be independent of manually-operated in the case of carry out base station alarm and divide Analysis, by for needing to extract the fault that daily record just can confirm that, first carrying out fault anticipation, being automatically performed base station alarm daily record simultaneously Extraction, and automatically carry out log analysis, compare anticipation result and be modified, be that existing network base station alarm processes and provides new approaches With new tool, with respect to currently carrying out base station fault analysis using manual type, this method provide the event of automated analysiss base station The means of barrier.
The base station of daily record temporarily cannot be extracted for needing daily record to judge, can only manually go up station at present and process, and this Invention carries out fault deduction using the historical analysises method of sampling of science, according to the safe formula through checking.Can be lifted existing Net troubleshooting efficiency, saving manpower simultaneously improve accident analysis reliability and accuracy, and with low cost, effect is obvious.
The design model scheme is based entirely on the windows platform of PC it is not necessary to any special hardware device, has and joins Put advantage simple, easy to use, with low cost, and multiple business type can be supported, there is good autgmentability.
Although being described in conjunction with the accompanying embodiments of the present invention, those skilled in the art can be without departing from this Various modifications and variations are made, such modification and modification each fall within by claims in the case of bright spirit and scope Within limited range.

Claims (13)

1. a kind of network element failure determination methods are it is characterised in that the method includes:
S1. the warning information of cycle Real-time Collection network element to schedule, and stored;
S2. untreated warning information is obtained from the warning information being stored according to alarming processing flag bit;
S3. according to NE ID, described untreated warning information is grouped and is carried out according to every group of untreated warning information point Analysis, positions network element failure type;
If S4. network element failure type can not be positioned, fault anticipation is carried out based on historical failure information and positions daily record extraction Type;
S5. type of access network element is extracted according to described daily record, obtain network element log;
S6. accident analysis is carried out according to described network element log, the result of described accident analysis is entered with described fault anticipation result Row compares, if both are consistent, the alarming processing flag bit of this warning information is labeled as processed;If it is inconsistent, Changing described fault anticipation result is described failure analysis result, and the alarming processing flag bit of this warning information is labeled as Process;
Described fault anticipation is carried out based on historical failure information specifically include:
Determine network element failure repairing efficiency T;
Search the historical failure list of described network element, and each type event in described repairing efficiency T is counted according to this historical failure list The frequency of barrier;
Record frequency in described repairing efficiency to rank forefront the fault type of several;
There is the probability of recorded fault type using time correlation coefficient estimate current alarm information;
Described estimation current alarm information occurs the probability of recorded fault type to specifically include:
Record the number of stoppages A of the most fault type a of number of times that breaks down in repairing efficiency;
In current alert time t<tLast time fault+ T or t=tLast time faultDuring+T, using formula A × [1+ (and 1/ current alert time with go through The little time difference of history fault time) × B], B is the first inclination angle value coefficient, for dynamic adjustment fault frequency and time difference Relation, wherein tLast time faultRepresent the time that last time fault occurs;
In current alert time t>tLast time faultDuring+T, using formula A × [(1/ current alert time is little with the historical failure time for 1+ The time difference) × C], C is the second inclination angle value coefficient, for the relation of dynamic adjustment fault frequency and time difference.
2. method according to claim 1, is further characterized in that, utilizes enumerator to be described collection during collection warning information Warning information be numbered, and record alarm numbering.
3. method according to claim 1, is further characterized in that, arranges gathered warning information after collection warning information Alarming processing flag bit be untreated.
4. method according to claim 1, is further characterized in that, also includes between step S5 and step S6:
Acquired network element log is stored in the storage device;
Type is extracted according to daily record and searches network element log from described storage device.
5. the method according to any one of claim 1-4, is further characterized in that, described network element is base station.
6. a kind of network element failure judges system it is characterised in that this system includes:
Network element alarming acquisition module, for the warning information of cycle Real-time Collection network element to schedule and stored;
Network element failure analyzes anticipation module, searches untreated announcement according to alarming processing flag bit in the warning information of described storage Alarming information, is grouped to described untreated warning information according to NE ID and is carried out according to every group of untreated warning information point Analysis, positions network element failure type, or it is impossible to positions network element failure type and be based on historical failure information and carry out fault anticipation simultaneously Type is extracted in positioning daily record, notifies network element log extraction module that daily record is extracted, and finally searches network element from storage device Daily record;
Network element log extraction module, extracts type of access network element according to described daily record, obtains network element log, and daily record is extracted into Work(message informing network element failure analyzes anticipation module;
Described accident analysis anticipation module carries out accident analysis according to described network element log, by the result of described accident analysis and institute State fault anticipation result to be compared, if both are consistent, the alarming processing flag bit of this warning information is labeled as locating Reason;If it is inconsistent, changing described fault anticipation result is described failure analysis result, and by the alarm of this warning information Reason flag bit is labeled as processed;
Described accident analysis anticipation module specifically includes:
Determining unit, for determining network element failure repairing efficiency T;
Search statistic unit, for searching the historical failure list of described network element, and described reparation is counted according to this historical failure list The frequency of each type fault in cycle T;
Recording unit, ranks forefront the fault type of several for recording frequency in described repairing efficiency;
, for there is the probability of recorded fault type using time correlation coefficient estimate current alarm information in evaluation unit;
Break down in described recording unit records repairing efficiency the number of stoppages A of the most fault type a of number of times;
In current alert time t<tLast time fault+ T or t=tLast time faultDuring+T, described evaluation unit is using formula A × [(1/ is current for 1+ Alarm time and the little time difference of historical failure time) × B], B is the first inclination angle value coefficient, occurs secondary for dynamic adjustment fault Number and the relation of time difference, in current alert time t>tLast time faultDuring+T, described evaluation unit is using formula A × [(1/ is current for 1+ Alarm time and the little time difference of historical failure time) × C], C is the second inclination angle value coefficient, occurs secondary for dynamic adjustment fault Number and the relation of time difference, wherein tLast time faultRepresent the time that last time fault occurs.
7. system according to claim 6, is further characterized in that:
Described alarm collection module is numbered by the warning information that enumerator is collection, and records alarm numbering.
8. system according to claim 6, is further characterized in that:
Acquired network element log is stored in the storage device by described network element log extraction module, described accident analysis anticipation mould Tuber extracts type according to the daily record of positioning and searches network element log from described storage device.
9. the system according to any one of claim 6-8, is further characterized in that:Described alarm collection module passes through to access OMC server is gathering warning information.
10. the system according to any one of claim 6-8, is further characterized in that:
Described alarm collection module, network element log extraction module are disposed on one server, and accident analysis prediction module is disposed On another server.
11. systems according to any one of claim 6-8, are further characterized in that:Described alarm collection module, network element log Extraction module all carries out data interaction by SOCKET with accident analysis anticipation module.
12. systems according to any one of claim 6-8, are further characterized in that:Described network element log extraction module adopts SNMP instructs, and is communicated with network element by radio network controller.
13. systems according to any one of claim 6-8, are further characterized in that, described network element is base station.
CN201310576422.9A 2013-11-15 2013-11-15 Method and system for judging fault of network element Active CN103596208B (en)

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