CN108289031A - Home broadband network method for diagnosing faults and device - Google Patents
Home broadband network method for diagnosing faults and device Download PDFInfo
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- CN108289031A CN108289031A CN201710013936.1A CN201710013936A CN108289031A CN 108289031 A CN108289031 A CN 108289031A CN 201710013936 A CN201710013936 A CN 201710013936A CN 108289031 A CN108289031 A CN 108289031A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G06F16/90344—Query processing by using string matching techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/93—Document management systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2801—Broadband local area networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
- H04L41/065—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis involving logical or physical relationship, e.g. grouping and hierarchies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
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Abstract
The embodiment of the present application discloses a kind of home broadband network method for diagnosing faults and device.This method includes：For the user in home broadband network, the execution reverse diagnosis from the lowermost level associate device of the user, wherein reverse diagnosis includes：According to the achievement data of target association equipment, confirm target association equipment with the presence or absence of abnormal；Determine the neighboring user of the user, wherein the same level-one associate device upper level associate device having the same of target association equipment and neighboring user；According to the achievement data of the same level-one associate device of neighboring user, confirm the same level-one associate device of neighboring user with the presence or absence of abnormal；In the case of the designation date exception of the same level-one associate device of neighboring user, using upper level associate device as target association equipment, reverse diagnosis is executed for target association equipment.The embodiment of the present application carries out beneficial complement to traditional positive fault diagnosis, reduces the invalid complaint of user, promotes failure demarcation efficiency.
Description
Technical field
This application involves fault diagnosis technology field, more particularly to a kind of method for diagnosing faults of cable home broadband network
And device.
Background technology
The trouble-shooter in cable home broadband faces a line user directly as pretreated nucleus module is complained, for
Shorten fault location, customer in response is complained, raised brand value with Great significance.
In the prior art, home broadband fault diagnosis is all based on the positive fault verification of account, i.e., combs and be based on first
Resource tree " account-optical network unit (Optical Network Unit, ONU)-optical splitter-optical line terminal of account
(Optical Line Terminal, OLT)-Broadband Remote Access Server (Broadband Access Server, BAS) ",
Then the account data of bed-by-bed analysis alarm data and user finally determines the complaint of user according to each node state,
Instruct user's troubleshooting or forwarding interdependent node troubleshooting.Since current fault diagnosis is sentenced based on single user, the logic of single node
Disconnected diagnosis lacks the degree of association, and group hinders function and is based on equipment alarm active reporting, and means are single, without effective verification scheme；Nothing
Method is based on population effect, gives report user's feedback of macroscopic view.
Invention content
A kind of home broadband network method for diagnosing faults of the embodiment of the present application offer and device, at least to solve diagnostic means
The inaccurate problem in failure judgement region caused by single.
The application one embodiment provides a kind of home broadband network method for diagnosing faults, the method includes：For family
User in the broadband network of front yard, the execution reverse diagnosis from the lowermost level associate device of the user, by the minimum of the user
Grade associate device is as target association equipment, wherein each user has respiratory sensation equipment,
Wherein, the reverse diagnosis includes：
According to the achievement data of the target association equipment, confirm the target association equipment with the presence or absence of abnormal；
In the case where determining the target association unit exception, the neighboring user of the user is determined, wherein the mesh
Mark the same level-one associate device upper level associate device having the same of associate device and the neighboring user；
According to the achievement data of the same level-one associate device of the neighboring user, the described of the neighboring user is confirmed
With level-one associate device with the presence or absence of abnormal；
In the case of the designation date exception of the same level-one associate device of the neighboring user, by the upper level
Associate device executes the reverse diagnosis as target association equipment, for the target association equipment.
Further, further include before the reverse diagnosis：
Respiratory sensation equipment based on each user establishes index database.
Further, the respiratory sensation equipment based on each user establishes index database, including：
The set of the achievement data of the respiratory sensation equipment of each user of inquiry, the set based on the achievement data
It is abstracted three alarm, performance, flow dimension indexs, establishes index document library, and described in the index document library is stored in
In index database.
Further, after the respiratory sensation equipment based on each user establishes index database, further include：Work as institute
When stating the achievement data update of the respiratory sensation equipment of user, it is based on updated achievement data, by the rope in the index database
Draw document library synchronized update.
Further, the respiratory sensation equipment based on each user establishes index database, including：
Structural data in the set of the achievement data of the respiratory sensation equipment of each user of inquiry；
Field in the set of the achievement data is established into mapping relations with respective value, obtains map field；
Preset matching condition is formed according to the respective value of the map field, according to the preset matching condition by input
Character string is matched with mechanical dictionary entry；
The mechanical dictionary entry is ranked up, is arranged in descending order according to frequency of occurrence, index document is generated
Library, and the index document library is saved in the index database.
Further, the index document library synchronized update by the index database, including：
According to the alarm report message of each user, increment alarm data is obtained, and by the increment alarm data
Update the achievement data collection；
It will be in increment alarm data storage to list of modification；
The increment alarm data is obtained, increment index document library is established according to the increment alarm data, and will be described
Increment index document library is stored in the index database.
Further, the reverse diagnosis includes：Reverse diagnosis is carried out according to search mechanisms, described search mechanism includes：
Input inquiry character string；
According to the inquiry string, the index document library is searched in the index database, is found and the inquiry word
The corresponding index document library of symbol string；
According at least one of described dimension index, by the corresponding index document library classification system of the inquiry string
Meter, output category statistical result.
The embodiment of the present invention additionally provides a kind of home broadband network trouble-shooter, and described device is used to be directed to family
The fault diagnosis of user in broadband network, the execution reverse diagnosis from the lowermost level associate device of the user will the described use
The lowermost level associate device at family is as target association equipment, wherein there is each user respiratory sensation equipment, described device to include：
Target association unit exception confirmation module confirms target association for the achievement data according to target association equipment
Equipment is with the presence or absence of abnormal；
Neighboring user confirmation module, in the case where determining target association unit exception, determining the phase of the user
Adjacent user, wherein the same level-one associate device upper level having the same of the target association equipment and the neighboring user closes
Join equipment；
With level-one associate device exception confirmation module, for according to the same level-one associate device of the neighboring user
Achievement data confirms the same level-one associate device of the neighboring user with the presence or absence of abnormal；
Upper level associate device exception confirmation module, the finger for the same level-one associate device in the neighboring user
In the case of showing data exception, using the upper level associate device as target association equipment, the target association equipment is returned to
Abnormal confirmation module.
Further, described device further includes：
Index database establishes module, and index database is established for the respiratory sensation equipment based on each user.
Further, the index database establishes module and includes：
Query unit, the set of the achievement data of the respiratory sensation equipment for inquiring each user；
Unit is established, three alarm, performance, flow dimension indexs are abstracted for the set based on the achievement data,
Establish index document library；
Storage unit, for storing in the index document library to the index database.
Further, described device further includes index database update module, for the respiratory sensation equipment as the user
When achievement data updates, it is based on updated achievement data, by the index document library synchronized update in the index database.
Further, the index database establishes module and further includes：
Structure extraction unit, the knot in the set of the achievement data of the respiratory sensation equipment for inquiring each user
Structure data；
Field map unit is obtained for the field in the set of the achievement data to be established mapping relations with respective value
To map field；
Matching unit, for forming preset matching condition according to the respective value of the map field, according to described default
The character string of input is matched with mechanical dictionary entry with condition；
Index database generation unit, it is suitable from high to low according to frequency of occurrence for being ranked up to the mechanical dictionary entry
Sequence arranges, and generates index document library, and the index document library is saved in the index database.
Further, the index database update module includes：
Data updating unit obtains increment alarm data, and will for the alarm report message according to each user
The increment alarm data updates the achievement data collection；
Database trigger, for storing the increment alarm data into list of modification；
Index database updating unit establishes increment for obtaining the increment alarm data according to the increment alarm data
Document library is indexed, and the increment index document library is stored in the index database.
Further, described device further includes indexed search module, and the indexed search module includes：
Input unit is used for input inquiry character string；
Search unit, for according to the inquiry string, the index document library being searched in the index database, is found
Index document library corresponding with the inquiry string；
Output unit is used for according at least one of described dimension index, by the corresponding index of the inquiry string
Document library statistic of classification, output category statistical result.
By the above technical solution provided by the embodiments of the present application as it can be seen that the throwing that the embodiment of the present application passes through single user single node
It tells or the broadband state of fault correlation diagnosis neighboring user, avoids the simple single means for relying on equipment alarm and reporting troubleshooting,
It fans out from point to area and shows population effect, to more accurately infer node or the region of network failure, to traditional forward direction event
Barrier diagnosis carries out beneficial complement, reduces the invalid complaint of user, promotion failure delimits efficiency；And by using Lucene high
The method and index synchronization mechanism in real time that mass data can intelligently be inquired realize efficient instant intelligent diagnostics.
Description of the drawings
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments described in application, for those of ordinary skill in the art, in the premise of not making the creative labor property
Under, other drawings may also be obtained based on these drawings.
Fig. 1 is home broadband network structure connection diagram in the embodiment of the present application one；
Fig. 2 is that the reverse diagnosis flow in the home broadband network method for diagnosing faults that the embodiment of the present application one provides is shown
It is intended to；
Fig. 3 is the part flow diagram in the home broadband network method for diagnosing faults that the embodiment of the present application one provides；
Fig. 4 is the signal for establishing index database in the home broadband network method for diagnosing faults that the embodiment of the present application one provides
Figure；
Fig. 5 is the signal of the update index database in the home broadband network method for diagnosing faults that the embodiment of the present application one provides
Figure；
Fig. 6 is the signal of the search mechanisms in the home broadband network method for diagnosing faults that the embodiment of the present application one provides
Figure；
Fig. 7 is the schematic diagram for the home broadband network trouble-shooter that the embodiment of the present application two provides.
Specific implementation mode
In order to make those skilled in the art better understand the technical solutions in the application, below in conjunction with the application reality
The attached drawing in example is applied, technical solutions in the embodiments of the present application is clearly and completely described, it is clear that described implementation
Example is merely a part but not all of the embodiments of the present application.Based on the embodiment in the application, this field is common
The every other embodiment that technical staff is obtained without making creative work should all belong to the application protection
Range.
Embodiment one：
Multi-user accesses whole network by logical construction as shown in Figure 1, each user be not it is single existing, all
It is intercommunication.Such as：One secondary light-splitting device of user attaching of one floor；The user attaching in one building is divided in a level-one
Device；The user attaching of one cell is to an OLT.So during carrying out fault verification, the data information of neighboring user,
To sole user, there are clear directive significances.
The embodiment of the present invention one provides a kind of home broadband network method for diagnosing faults, in home broadband network
User, the execution reverse diagnosis from the lowermost level associate device of the user, using the lowermost level associate device of the user as target
Associate device, wherein each user has respiratory sensation equipment,
Wherein, as shown in Fig. 2, reverse diagnosis may include following step S1-S4：
S1, according to the achievement data of target association equipment, confirm target association equipment with the presence or absence of abnormal.If so, executing
S2.If it is not, reverse diagnosis can be terminated.
S2, the neighboring user for determining the user, wherein the same level-one associate device of target association equipment and neighboring user
Upper level associate device having the same.
S3, the achievement data according to the same level-one associate device of neighboring user confirm that the same level-one association of neighboring user is set
It is standby to whether there is exception.If so, executing S4.If it is not, reverse diagnosis can be terminated.
S4, using the upper level associate device as target association equipment, execute execution for the target association equipment
S1。
Be sequentially completed according to the logic of the above method " secondary light-splitting, level-one light splitting, OLT passive optical-fiber network
Private virtual local area network (the Private Virtual Local of (Passive Optical Network, PON) mouth, OLT
Area Network, SVLAN), OLT device 500, the ports BAS 600, BAS equipment 700 " in total be up to seven iteration.In S1
In, if target association equipment is normal, terminate iteration, if target association equipment is the lowermost level associate device of user at this time,
It is confirmed as user side single failure, if target association equipment is not the lowermost level associate device of user, confirms that target association is set
Standby next stage associate device breaks down.In S3, if normal with level-one associate device, terminate iteration, it is possible to determine that this
Target association equipment in S1 in secondary iterative process breaks down.
Specifically, when the lowermost level that the target association equipment in S1 is the user 1 that any of user breaks down is closed
It is the lowermost level associate device that user 1 at the same level is in target association equipment, target with level-one associate device when joining equipment
Associate device is to generate associated, such as lowermost level target association equipment by upper level associate device and with level-one associate device
Upper level associate device be secondary light-splitting, the upper level associate device of secondary light-splitting is level-one light splitting, upper the one of level-one light splitting
Grade associate device is the PON mouths 300 of OLT, and the upper level associate device of the PON mouths 300 of OLT is the SVLAN400 of OLT, OLT's
The upper level associate device of SVLAN400 is OLT device 500, and the upper level associate device of OLT device 500 is the ports BAS 600,
The upper level associate device of the ports BAS 600 is BAS equipment 700.Cycle executes above-mentioned S1 to S4, up to BRAS equipment or works as
Preceding target association equipment is normal, terminates.
For example, when successively from secondary light-splitting iterate to target association equipment be in OLT SVLAN400 when, execute S1
When, target association unit exception continues to execute S2, S3, and the same level-one associate device of target association equipment is normal in S3, that
It is determined that failure at this time occurs from the PON mouths 300 of OLT, the SVLAN400 of OLT and its upper layer be it is normal, can
To stop iteration.
What the neighboring user by inquiring the access device (ONU100 or MDU200, OLT, BRAS) of user-association reported
Whether service quality information reports normal quality of service index according on same optical splitter, PON mouthfuls, PON plates, BRAS,
Auxiliary judgment optical splitter, PON mouthfuls, PON plates, BRAS it is whether normal, delimit intra-office failure or user side failure, and confirm former
Which regional extent barrier specifically occurs from.If it is determined that being user side single failure, user can be instructed to carry out this machine maintenance
Multiple, non-general character network problem does not need maintenance personnel and visits processing.The embodiment of the present application by the complaint of single user single node or
Fault correlation diagnoses the broadband state of neighboring user, the simple single means for relying on equipment alarm and reporting troubleshooting is avoided, with point
Zone face shows population effect, to more accurately infer node or the region of network failure, examines traditional positive failure
It is disconnected to carry out beneficial complement, it reduces the invalid complaint of user, promote failure demarcation efficiency.
The above method needs the judgement to target association equipment to establish model；The model need to resource information, warning information,
More than 100 type such as performance data store and retrieve, the data volume total amount for the province of million grades of user volumes for a long time
It is very huge.If directly very low to data target progress operating characteristics, so being searched for by Lucene in calculating process
Engine establishes information model to single node, and auxiliary carries out promoting big data retrieval capability, this method effectively raises performance.
Therefore, as shown in figure 3, further including S101 and S102 before S1：
S101：Respiratory sensation equipment based on each user establishes index database.
S101 includes：The set for inquiring the achievement data of respiratory sensation equipment, announcement is abstracted based on the set of achievement data
Three police, performance, flow dimension indexs establish index, and index are stored in index database.Though the achievement data in database
It is so the data of structuring, but does not have word segmentation processing, character string and the relationship of document need to be established, in order to which opening relationships then needs
Index is created, and is stored in index database.
S102：When the update of the achievement data of the respiratory sensation equipment of user, it is based on updated achievement data, will be indexed
Index document library synchronized update in library.
As shown in figure 4, above-mentioned S101 is specifically included：
Open connection：Idle connection is obtained from the connection pool of the set of achievement data.
Inquire data：Pass through the structural data in the set of SQL query achievement data；In order to reduce database server
Load and I/O pressure, data are obtained using paging query mode.
Field maps：Field in the set of achievement data is established into mapping relations with respective value, obtains map field.
Morphological analysis：Preset matching condition is formed according to the respective value of map field, will be inputted according to preset matching condition
Character string matched with mechanical dictionary entry；If finding current string in mechanical dictionary entry, successfully export
The entry of identification.
Semantic analysis：The respective value of map field is carried out parallel by entry, syntax, semantic analysis, utilizes syntax, semanteme
Information handles the ambiguity of participle.
Word frequency statistics：The respective value of map field is all merged, word frequency statistics are carried out；The frequency that adjacent word collocation occurs
Rate is more, is more likely to form a fixed word.Weight calculation is carried out to fixed entry to be ranked up, according to appearance frequency
It is secondary it is high come front, frequency of occurrence is low to be come below.
Create index：Index document library is generated, and index document library is saved in index database.
Generating index database for the first time realizes the full dose synchronization of alarm data, and the data of increment, which synchronize, to be needed to be triggered by database
Device is completed, by store incremental data, occur Notification of Changes and etc. realization.As shown in figure 5, S102 includes：
It updates the data：Pass through the set of alarm report information updating achievement data；
Trigger stores incremental data：Increment alarm data is stored into list of modification by database trigger；
Send Notification of Changes：Increment alarm data is obtained using Lucenu servers；
Return to incremental data：Inquiry change data simultaneously return；
Morphological analysis：Preset matching condition is formed according to the respective value of map field, will be inputted according to preset matching condition
Character string matched with mechanical dictionary entry；
Semantic analysis：The respective value of map field is carried out parallel by entry, syntax, semantic analysis, utilizes syntax, semanteme
Information handles the ambiguity of participle；
Word frequency statistics：The respective value of map field is all merged, word frequency statistics are carried out；
Update index：The index document library of original index database is updated.
As shown in fig. 6, preferably, reverse diagnosis packet in home broadband network method for diagnosing faults in the present embodiment
It includes：Reverse diagnosis is carried out according to search mechanisms, wherein search mechanisms include：
Input inquiry character string.
Search index：According to inquiry string, search index.
Search indexes：Morphological analysis is carried out to inquiry string come identify fixed entry and keyword, according to inquiry
The syntax rule of sentence come formed a syntax tree, by merge with difference operation find at least one of document.
Hit index：Index is searched, document corresponding with inquiry string is found；
Export statistical classification search result：Querying condition for inputting single entry is united by the full word section of alarm
Meter, output category statistical result.
Display data：Show statistic of classification result.
Check classifying search results.
Classified search request：Triggering is asked by classification results binary search.Search index：It is triggered according to classifying search results
Binary search is asked.
Search index：Secondary morphology, semantic analysis are carried out according to statistic of classification result.
Secondary hit index：Index is searched, the corresponding document of index is found.
Export result：It exports the search result hit by class entry entry and is shown to display window, display data.
Embodiment two：
As shown in fig. 7, the embodiment of the present invention additionally provides a kind of home broadband network trouble-shooter 10, described device
10, for the fault diagnosis for the user in home broadband network, execute from the lowermost level associate device of the user and reversely examine
It is disconnected, using the lowermost level associate device of the user as target association equipment, wherein each user has respiratory sensation equipment, it is described
Device 10 includes：It is target association unit exception confirmation module 11, neighboring user confirmation module 12, extremely true with level-one associate device
Recognize module 13, upper level associate device exception confirmation module 14.The operation principle of the device 10 is as in the first embodiment, herein not one by one
It repeats.
Target association unit exception confirmation module 11 confirms that target is closed for the achievement data according to target association equipment
Join equipment with the presence or absence of abnormal.
Neighboring user confirmation module 12, in the case where determining target association unit exception, determining the user's
Neighboring user, wherein target association equipment is associated with the same level-one associate device upper level having the same of the neighboring user
Equipment.
With level-one associate device exception confirmation module 13, it to be used for the index number of the same level-one associate device according to neighboring user
According to confirming the same level-one associate device of neighboring user with the presence or absence of abnormal.
Upper level associate device exception confirmation module 14, the designation date for the same level-one associate device in neighboring user
In the case of exception, using upper level associate device as target association equipment, returns to the target association unit exception and confirm mould
Block 11.
Preferably, described device 10 further includes：Index database establishes module, index database update module, indexed search module.
Wherein, index database establishes module and establishes index database for the respiratory sensation equipment based on each user.Index database is built
Formwork erection block includes：Query unit, the set of the achievement data of the respiratory sensation equipment for inquiring each user；Unit is established,
For the set based on achievement data come three abstract alarm, performance, flow dimension indexs, index document library is established；Storage is single
Member, for storing in index document library to index database.Further include：Structure extraction unit is closed for inquiring the multistage of each user
Join the structural data in the set of the achievement data of equipment；Field map unit is used for the word in the set of achievement data
Section establishes mapping relations with respective value, obtains map field；Matching unit, it is default for being formed according to the respective value of map field
Matching condition matches the character string of input with mechanical dictionary entry according to preset matching condition；Index database generation unit,
It for being ranked up to mechanical dictionary entry, is arranged in descending order according to frequency of occurrence, generates index document library, and by rope
Draw document library to be saved in index database.
Index database update module is used to, when the update of the achievement data of the respiratory sensation equipment of user, be based on updated finger
Data are marked, by the index document library synchronized update in index database.Index database update module includes：Data updating unit is used for root
According to the alarm report message of each user, increment alarm data is obtained, and increment alarm data is updated into the achievement data collection；
Database trigger, for storing increment alarm data into list of modification；Index database updating unit, for obtaining increment alarm
Data establish increment index document library according to increment alarm data, and increment index document library are stored in the index database.
Indexed search module includes：Input unit is used for input inquiry character string；Search unit, for according to inquiry word
Symbol string, search index document library, finds index document library corresponding with inquiry string in index database；Output unit is used for
According at least one of dimension index, by the corresponding index document library statistic of classification of inquiry string, output category statistics knot
Fruit.
Above is only an example of the present application, it is not intended to limit this application.For those skilled in the art
For, the application can have various modifications and variations.It is all within spirit herein and principle made by any modification, equivalent
Replace, improve etc., it should be included within the scope of claims hereof.
Claims (14)
1. a kind of home broadband network method for diagnosing faults, which is characterized in that the method includes：For in home broadband network
User, the execution reverse diagnosis from the lowermost level associate device of the user, using the lowermost level associate device of the user as mesh
Associate device is marked, wherein each user has respiratory sensation equipment,
Wherein, the reverse diagnosis includes：
According to the achievement data of the target association equipment, confirm the target association equipment with the presence or absence of abnormal；
In the case where determining the target association unit exception, the neighboring user of the user is determined, wherein the target is closed
Join the same level-one associate device upper level associate device having the same of equipment and the neighboring user；
According to the achievement data of the same level-one associate device of the neighboring user, the described same of the neighboring user is confirmed
Grade associate device is with the presence or absence of abnormal；
In the case of the designation date exception of the same level-one associate device of the neighboring user, the upper level is associated with
Equipment executes the reverse diagnosis as target association equipment, for the target association equipment.
2. home broadband network method for diagnosing faults as described in claim 1, which is characterized in that before the reverse diagnosis also
Including：
Respiratory sensation equipment based on each user establishes index database.
3. home broadband network method for diagnosing faults as claimed in claim 2, which is characterized in that described based on each use
The respiratory sensation equipment at family establishes index database, including：
The set of the achievement data of the respiratory sensation equipment of each user of inquiry, is taken out based on the set of the achievement data
As three alarm, performance, flow dimension indexs, index document library is established, and the index document library is stored in the index
In library.
4. home broadband network method for diagnosing faults as claimed in claim 3, which is characterized in that described based on each use
The respiratory sensation equipment at family is established after index database, further includes：When the achievement data update of the respiratory sensation equipment of the user
When, it is based on updated achievement data, by the index document library synchronized update in the index database.
5. home broadband network method for diagnosing faults as claimed in claim 4, which is characterized in that described based on each use
The respiratory sensation equipment at family establishes index database, including：
Structural data in the set of the achievement data of the respiratory sensation equipment of each user of inquiry；
Field in the set of the achievement data is established into mapping relations with respective value, obtains map field；
Preset matching condition is formed according to the respective value of the map field, according to the preset matching condition by the character of input
String is matched with mechanical dictionary entry；
The mechanical dictionary entry is ranked up, is arranged in descending order according to frequency of occurrence, index document library is generated, and
The index document library is saved in the index database.
6. home broadband network method for diagnosing faults as claimed in claim 5, which is characterized in that it is described will be in the index database
Index document library synchronized update, including：
According to the alarm report message of each user, increment alarm data is obtained, and the increment alarm data is updated
The achievement data collection；
It will be in increment alarm data storage to list of modification；
The increment alarm data is obtained, increment index document library is established according to the increment alarm data, and by the increment
Index document library is stored in the index database.
7. home broadband network method for diagnosing faults as claimed in claim 6, which is characterized in that the reverse diagnosis includes：
Reverse diagnosis is carried out according to search mechanisms, described search mechanism includes：
Input inquiry character string；
According to the inquiry string, the index document library is searched in the index database, is found and the inquiry string
Corresponding index document library；
It is defeated by the corresponding index document library statistic of classification of the inquiry string according at least one of described dimension index
Go out statistic of classification result.
8. a kind of home broadband network trouble-shooter, described device is used for for the user in home broadband network, from this
The lowermost level associate device of user, which rises, executes reverse diagnosis, using the lowermost level associate device of the user as target association equipment,
Wherein each user has respiratory sensation equipment, which is characterized in that described device includes：
Target association unit exception confirmation module confirms target association equipment for the achievement data according to target association equipment
With the presence or absence of exception；
Neighboring user confirmation module, the adjacent use in the case where determining target association unit exception, determining the user
Family, wherein the target association equipment is associated with the same level-one associate device upper level having the same of the neighboring user and sets
It is standby；
With level-one associate device exception confirmation module, it to be used for the index of the same level-one associate device according to the neighboring user
Data confirm the same level-one associate device of the neighboring user with the presence or absence of abnormal；
Upper level associate device exception confirmation module, the indicated number for the same level-one associate device in the neighboring user
In the case of according to exception, using the upper level associate device as target association equipment, the target association unit exception is returned to
Confirmation module.
9. home broadband network trouble-shooter as claimed in claim 8, which is characterized in that described device further includes：
Index database establishes module, and index database is established for the respiratory sensation equipment based on each user.
10. home broadband network trouble-shooter as claimed in claim 9, which is characterized in that the index database establishes mould
Block includes：
Query unit, the set of the achievement data of the respiratory sensation equipment for inquiring each user；
Unit is established, for the set based on the achievement data come three abstract alarm, performance, flow dimension indexs, is established
Index document library；
Storage unit, for storing in the index document library to the index database.
11. home broadband network trouble-shooter as claimed in claim 10, which is characterized in that described device further includes rope
Draw library update module, for when the achievement data of the respiratory sensation equipment of the user updates, being based on updated index number
According to by the index document library synchronized update in the index database.
12. home broadband network trouble-shooter as claimed in claim 11, which is characterized in that the index database establishes mould
Block further includes：
Structure extraction unit, the structuring in the set of the achievement data of the respiratory sensation equipment for inquiring each user
Data；
Field map unit is reflected for the field in the set of the achievement data to be established mapping relations with respective value
Penetrate field；
Matching unit, for forming preset matching condition according to the respective value of the map field, according to the preset matching item
Part matches the character string of input with mechanical dictionary entry；
Index database generation unit is arranged for being ranked up to the mechanical dictionary entry according to frequency of occurrence in descending order
Row generate index document library, and the index document library are saved in the index database.
13. home broadband network trouble-shooter as claimed in claim 12, which is characterized in that the index database updates mould
Block includes：
Data updating unit obtains increment alarm data, and will be described for the alarm report message according to each user
Increment alarm data updates the achievement data collection；
Database trigger, for storing the increment alarm data into list of modification；
Index database updating unit establishes increment index for obtaining the increment alarm data according to the increment alarm data
Document library, and the increment index document library is stored in the index database.
14. home broadband network trouble-shooter as claimed in claim 13, which is characterized in that described device further includes rope
Draw search module, the indexed search module includes：
Input unit is used for input inquiry character string；
Search unit searches for the index document library for according to the inquiry string in the index database, finds and institute
State the corresponding index document library of inquiry string；
Output unit is used for according at least one of described dimension index, by the corresponding index document of the inquiry string
Library statistic of classification, output category statistical result.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113872817A (en) * | 2021-10-20 | 2021-12-31 | 中国电信股份有限公司 | Network connection control method, device, equipment, storage medium and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07245609A (en) * | 1994-03-07 | 1995-09-19 | Nippon Telegr & Teleph Corp <Ntt> | Method for diagnosing fault of network based on network fault propagation model |
| CN101640617A (en) * | 2008-07-30 | 2010-02-03 | 华为技术有限公司 | Method, system and device for detecting and positioning network failure |
| CN101777997A (en) * | 2010-01-21 | 2010-07-14 | 中兴通讯股份有限公司 | Method and system for switching flow of network link |
| CN101924697A (en) * | 2010-06-30 | 2010-12-22 | 北京科技大学 | Two-way startup recovery method based on link back backtracking strategy |
| US20110320857A1 (en) * | 2010-06-23 | 2011-12-29 | Electronics And Telecommunications Research Institute | Bottom-up multilayer network recovery method based on root-cause analysis |
| CN104597892A (en) * | 2014-12-16 | 2015-05-06 | 北京航天测控技术有限公司 | Hierarchical fault diagnosis method for electronic information equipment |
-
2017
- 2017-01-09 CN CN201710013936.1A patent/CN108289031B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07245609A (en) * | 1994-03-07 | 1995-09-19 | Nippon Telegr & Teleph Corp <Ntt> | Method for diagnosing fault of network based on network fault propagation model |
| CN101640617A (en) * | 2008-07-30 | 2010-02-03 | 华为技术有限公司 | Method, system and device for detecting and positioning network failure |
| CN101777997A (en) * | 2010-01-21 | 2010-07-14 | 中兴通讯股份有限公司 | Method and system for switching flow of network link |
| US20110320857A1 (en) * | 2010-06-23 | 2011-12-29 | Electronics And Telecommunications Research Institute | Bottom-up multilayer network recovery method based on root-cause analysis |
| CN101924697A (en) * | 2010-06-30 | 2010-12-22 | 北京科技大学 | Two-way startup recovery method based on link back backtracking strategy |
| CN104597892A (en) * | 2014-12-16 | 2015-05-06 | 北京航天测控技术有限公司 | Hierarchical fault diagnosis method for electronic information equipment |
Non-Patent Citations (1)
| Title |
|---|
| 王占孔 等: "《：基于贝叶斯网络的分层网络故障诊断》", 《软件》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113872817A (en) * | 2021-10-20 | 2021-12-31 | 中国电信股份有限公司 | Network connection control method, device, equipment, storage medium and system |
| CN113872817B (en) * | 2021-10-20 | 2024-04-12 | 中国电信股份有限公司 | Network connection control method, device, equipment, storage medium and system |
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