CN113891190A - Algorithm for restoring topology of secondary optical splitter based on batch alarm - Google Patents
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Abstract
The invention discloses an algorithm for restoring a secondary optical splitter topology based on batch alarm, which is characterized by comprising the following steps of: 1) receiving alarm data of the total OLT, the PON port and the ONU in real time, and setting an alarm data interface for access; 2) configuring an alarm influence receiving rule, establishing an alarm level influence transmission rule, and performing alarm grouping; 3) and combining the alarm data in the step 2), recording and judging ONU (optical network unit) grouped data management of the optical splitter topology through a network clustering algorithm, continuously deducing and improving the accuracy of an optical splitter topology graph, and realizing the topology reduction of the PON optical splitter based on an optical splitter topology reduction algorithm. The method records fault recording information of the same ONU group and the recording of the on-line and the off-line of the ONU, continuously repeats probability confirmation of analysis, realizes possible topology connection structure analysis of two-stage light splitting under a one-stage light splitter, and realizes the purpose of deducing the topology structure of the two-stage light splitter without on-site checking and plugging and unplugging tail fibers of the light splitter. The method for processing the tail fiber without plugging is realized.
Description
Technical Field
The invention relates to the technical field of optical fiber networks, in particular to an algorithm for restoring a secondary optical splitter topology based on batch alarm.
Background
With the increasing expansion of wired broadband service of operators, the network scale is larger and larger, the number of managed PON network devices is increasing, and the number of home broadband users is continuously increasing in recent years. Because the accuracy of the network topology resource data line and the resource information recorded by service activation are inconsistent with the actual existing network resource information, the service activation efficiency and fault location are directly affected, wherein the primary optical splitter and the secondary optical splitter are passive devices, the association relationship between the OLT and the primary optical splitter and the secondary optical splitter corresponding to the ONU related to the network service resource data is lack of an automatic updating means, the data accuracy cannot be guaranteed, and accurate topology auxiliary information cannot be provided during fault location. At present, maintenance personnel are still required to arrive at the site for cleaning, the efficiency is low, the time consumption is long, and meanwhile, the maintenance cost is high.
In the prior art, the problem of accurate user resource line relationship can be solved to a certain extent through mobile phone APP on-site checking and professional instrument on-site checking, but the problems of long time consumption, high labor cost, difficult data verification and the like exist, so that the popularization of the tools is difficult, the application cases are few, and the specific defect analysis is as follows:
1. mobile phone APP and special line instrument clearing: the tail fiber is required to be plugged, and the hidden danger of user service interruption exists.
2. Manual field processing is inefficient: the manual on-site treatment causes low efficiency, long time consumption and high cost of resource investment and inventory.
The realization of fast and accurate restoration of the splitter topology is an urgent need for practical use.
Disclosure of Invention
Aiming at the defects in the prior art, the embodiment of the invention aims to receive the alarm data of the whole OLT, the PON port and the ONU in real time, configure the alarm influence receiving rule, establish the rule of the alarm level influencing the transmission, carry out alarm grouping and realize the topology reduction of the PON network optical splitter through the network clustering algorithm and the optical splitter topology reduction algorithm.
In order to achieve the purpose, the invention provides the following technical scheme:
an algorithm for restoring a secondary optical splitter topology based on batch alarm is characterized by comprising the following steps:
step 1), receiving alarm data of a total amount of OLT, PON ports and ONU in real time, and setting alarm data interface access;
step 2), configuring alarm influence receiving rules, establishing rules of influence transmission of alarm levels, and performing alarm grouping;
and 3) combining the alarm data in the step 2), recording and judging ONU (optical network unit) grouped data management of the optical splitter topology through a network clustering algorithm, continuously deducing and improving the accuracy of an optical splitter topology graph, realizing an optical splitter topology reduction algorithm and realizing PON (passive optical network) optical splitter topology reduction.
The step 1) of receiving the full alarm data comprises the following steps:
the related alarm data sources are synchronized at regular time through JDBC connection mode by managing and configuring the alarm data source types, database URLs, database user names, database passwords and connection parameters.
The step 2) receives the full alarm data and carries out receiving, transmitting and grouping according to the following steps:
alarm data filtering → data preprocessing → field mapping → alarm association binding → alarm record management.
The steps specifically include the following:
(1) and (3) alarm interface processing: the mapping type, the interface IP and the address configuration of the field of the connectable interface are realized through the socket interface, and the real-time alarm data and the real-time performance data are identified according to the alarm unique number to generate an alarm source;
(2) data preprocessing: all the warning source data are respectively marked as a type of warning source name by adopting rules, a unique warning receiving rule is configured for the warning source name, and the field attribute is converted for the corresponding rule of the source related to the file stream;
(3) alarm receiving rules: writing the received data meeting the rules into an event source table according to the service requirements;
the alarm reception type rule includes:
alarm type: the ONU generates the type of the alarm, and if a plurality of ONUs hanging down from the PON generate an off-line alarm in a similar time, the data in the alarm time period and the last ONU alarm are used as alarm data to be processed.
Warning severity: and taking the alarm of ONU type severity 1 and 2 as alarm data needing to be processed.
And (4) alarming source: and distinguishing various interfaces according to the interface types of the alarm sources, such as Restful, socket and other alarm data needing to be processed.
(4) And (3) data filtering: performing MQ subscription on data of an event source, and performing data filtering on the related type, title, source and the like of the data source;
(5) preprocessing alarm data: merging, calculating and intercepting specific data, and preprocessing alarm data by adopting a formula or script calculation mode to generate related performance;
and (3) warning time: and regarding the time point of generating the alarm, as a key time point t0 of the clustering algorithm, the alarm closing time t1, and the alarm passing time tp is t1-t 0. Approximate start time clustering classification was performed for time t0, and similarity validation of the same group was performed for tp.
ONU performance data: the ONU receives optical power and ONU ranging data. And initially classifying the clustering records of the optical power received by the ONU, and updating the classification groups when the optical power jitters. Clustering grid calculation is carried out on ONU ranging data, weighting analysis is carried out on optical power grouping, similar value vectors are close to deduce grouping of the same type, and the grouping correctness is continuously improved after multiple calculations.
(6) And (3) field mapping: the preprocessed alarm data is associated according to the table attribute relationship between the alarm table attribute and the event source, and the relevant value is written into a configuration field for field mapping;
(7) and alarm association binding: performing CMDB configuration data source binding on the alarm data node attribute, and globally identifying an alarm object;
(7) an alarm table: storing the data processed by the process into an alarm table;
(8) and (3) alarm analysis: and selecting alarm data of related optical paths and related ONU, PON and OLT objects, filtering, associating and combining the alarm data, and analyzing batch interrupt information at the same time period.
The (2) alarm receiving rule comprises:
when only 1ONU is hung and simultaneously alarms, the PON port is not influenced to alarm: normal;
when 2-5 ONUs are hung, the PON port is affected and alarmed: an affected alarm;
when the hanging ONU is more than 6 and alarms at the same time, the PON port is alarmed by unavailable: no alarm is available.
The topology restoration deduction of the optical splitter comprises the following steps:
a, acquiring the corresponding relation between OLT, PON and ONU-SN through data;
b, monitoring OPM values of every 4 groups of ONTs, if the optical channel loss is about 20-25db, judging that the OPM value is 1: a topology of total split of 64;
c, according to the initial judgment, the default topology is 1: 64-level light splitting, then performing offline alarm according to batch ONUs of the same PON, recording possible probability and topology, calculating according to groups, and finishing calculation of all ONUs of the current optical splitter;
and D, continuously iteratively correcting the ONU grouping and topological connection relation through long-term alarm analysis and calculation.
The step 1) receives an alarm data source:
11) receiving alarm flow data pushed by a manufacturer network manager in real time by using a RestFul micro-service interface,
12) The self-development program is used for realizing that the relevant alarm data is taken out from the Cobra interface of the manufacturer at regular time,
13) And receiving alarm data of related third-party monitoring or other systems by using the customized socket interface.
In conclusion, compared with the prior art, the invention has the following beneficial effects:
the method comprises the steps of receiving alarm data of the whole OLT, the PON port and the ONU in real time, configuring an alarm influence receiving rule, establishing an alarm level influence transmission rule, carrying out alarm grouping, recording fault recording information of the same ONU group and the on-line and off-line records of the ONU through a network clustering algorithm and an optical splitter topology reduction algorithm, analyzing the probability confirmation of continuous repeated analysis for a long time, realizing possible topology connection structure analysis of two-stage optical splitting under a one-stage optical splitter, realizing the purpose of deducing the topology structure of the two-stage optical splitter without on-site checking and plugging and unplugging tail fibers of the optical splitter. Therefore, the method is separated from maintenance personnel to go to the site and does not need to plug and pull the tail fiber for processing.
The process of restoring the optical splitter topology is improved and optimized: firstly, data cleaning is carried out on alarm source data and types influencing topology through a configurable alarm interface and a preprocessing flow, original data influencing a convergence algorithm result are removed, then clustering algorithm is carried out on optical power data and distance data corresponding to original ONU to carry out deduction of splitter topology, then iterative data analysis is carried out through batch alarm to correct ONU grouping and topology connection relation, and alarm influence rule weighting calculation influence relation deduction and topology connection relation determination of PON ports are carried out through batch ONU disconnection.
To more clearly illustrate the structural features and effects of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
Drawings
FIG. 1 is a flow chart of step 2) of the present invention;
FIG. 2 is two schematic diagrams of the topology reduction deduction step B of the optical splitter according to the present invention, wherein the topology may appear;
fig. 3 shows grouping and topological connection relationships in the topology reduction deduction step D of the optical splitter according to the present invention;
fig. 4 is a schematic diagram of ONU list connection obtained by the present invention;
FIG. 5 is a reference diagram of ONU list display obtained after batch alarm analysis according to the present invention;
fig. 6 is a reference diagram showing the ONU list obtained after the re-repeat alarm analysis is performed according to the present invention.
Detailed Description
The technical solution of the present invention is further described with reference to the accompanying drawings and specific embodiments.
An algorithm for restoring a secondary optical splitter topology based on batch alarm is characterized by comprising the following steps:
step 1), receiving alarm data of a total amount of OLT, PON ports and ONU in real time, and setting alarm data interface access;
step 2), configuring alarm influence receiving rules, establishing rules of influence transmission of alarm levels, and performing alarm grouping;
and 3) combining the alarm data in the step 2), recording and judging ONU (optical network unit) grouped data of the optical splitter topology through a network clustering algorithm, continuously deducing to improve the accuracy of an optical splitter topology graph, realizing an optical splitter topology reduction algorithm and realizing PON (passive optical network) optical splitter topology reduction.
The step 1) of receiving the full alarm data comprises the following steps:
the related alarm data sources are synchronized at regular time through JDBC connection mode by managing and configuring the alarm data source types, database URLs, database user names, database passwords and connection parameters.
The step 2) receives the full alarm data and carries out receiving, transmitting and grouping according to the following steps:
alarm data filtering → data preprocessing → field mapping → alarm association binding → alarm record management.
The flow of steps can refer to FIG. 1
The steps specifically include the following:
(1) and (3) alarm interface processing: the mapping type, the interface IP and the address configuration of the field of the connectable interface are realized through the socket interface, and the real-time alarm data and the real-time performance data are identified according to the alarm unique number to generate an alarm source;
(2) data preprocessing: all the warning source data are respectively marked as a type of warning source name by adopting rules, a unique warning receiving rule is configured for the warning source name, and the field attribute is converted for the corresponding rule of the source related to the file stream;
(3) alarm receiving rules: the received data conforming to the rule is written into an event source by an alarm receiving program;
(4) and (3) data filtering: performing MQ subscription on data of an event source, and filtering required data by related types, titles, sources and the like; preprocessing alarm data: the specific data is combined, calculated, intercepted, and calculated by a formula or a script, the alarm data is preprocessed, and the related performance is generated;
(5) and (3) field mapping: performing relation connection on the preprocessed data according to the alarm table attribute and the table attribute of the event source, writing related values and configured fields, and performing field mapping;
(6) and alarm association binding: CMDB data source binding is carried out on the alarm data node attribute, and an alarm object is globally identified;
(7) an alarm table: storing the data processed by the process into an alarm table;
(8) and (3) alarm analysis: and selecting alarm data of related optical paths and related ONU, PON and OLT objects, filtering, associating and combining the alarm data, and analyzing batch interrupt information at the same time period.
The (2) alarm receiving rule comprises:
when only 1ONU is hung and simultaneously alarms, the PON port is not influenced to alarm: normal;
when 2-5 ONUs are hung, the PON port is affected and alarmed: an affected alarm;
when the hanging ONU is more than 6 and alarms at the same time, the PON port is alarmed by unavailable: no alarm is available.
The topology restoration deduction of the optical splitter comprises the following steps:
a, through the corresponding relation between OLT, PON and ONU-SN;
b, monitoring OPM values of every 4 groups of ONTs, if the optical channel loss is about 20-25db, judging that the OPM value is 1: a topology of total split of 64;
the topology of which may be as shown in figure 2.
C, according to the initial judgment, the default topology is 1: 64-level light splitting, then performing offline alarm according to batch ONUs of the same PON, recording possible probability and topology, calculating according to groups, and finishing calculation of all ONUs of the current optical splitter;
presumably, in case of a possible alarm, two ONTs are simultaneously hung under the level 2 splitter, and it is determined that the changed ONTs belong to the same level 2 splitter with a probability of-90%, or it is not determined whether the ONTs are hung under the same level 2 splitter with a probability of-10%;
the second possible optical channel loss change condition is that the changed ONT belongs to the same 2-level optical splitter with a probability of 90 percent, or whether the ONT is hung under the same 2-level optical splitter is not determined with a probability of 10 percent;
and D, continuously iteratively correcting the ONU grouping and topology connection relation through long-term alarm analysis and calculation, as shown in figure 3.
The step 1) receives an alarm data source:
11) receiving alarm flow data pushed by a manufacturer network manager in real time by using a RestFul micro-service interface,
12) The self-development program is used for realizing that the relevant alarm data is taken out from the Cobra interface of the manufacturer at regular time,
13) And receiving alarm data of related third-party monitoring or other systems by using the customized socket interface.
Further specific examples are as follows:
the first step is as follows: the source of the alarm data is as follows: the method comprises the following steps of alarming information such as OLT disconnection, PON port downtime, ONU batch offline and the like, and user offline information;
1) and (3) analyzing the alarm data rule:
a manufacturer:
alarm information msgType 0, timeStamp 1598461259, body Len 882, body { "alamSeq": 107247672, "alamStable": GPON ONT Power Down (DGi), "alamStatus": 1, "alamType": qualityofServiceAlarm "," origSeverity ":3," eventTime ": 2020-08-2700: 56:17", "alamId": 764357592"," specficProblemID ": 45_772907019", "speci ficProblim": "ONtPower Exception", "neUID": 4201HWCSFOLT76b58c55559c8c86"," nenme ": NENaXOLT 001-HW-XXXA 56 5680T (Qingshan 08A/transmission-no": OLT "," negType "," 4201HW object ": 4201:" 31 ": NaxOAmStable"; WH-U2000-2-P; ManagedElement; 7361996, respectively; RU; 1/shelf-0/slot-14/port-11/ONU-20, object type-ONU, locationInfo-subrack-0, slot-14, subslot-65535, port-11, oneuid-20, ONU name-XXXX/corridor 006-FTTH-AUTO, ONU IP-info, -addlnfo, -HW olp-192.38.0.1 device type-HG 266GU ONT DESCRIPTION information (visible only by the webmaster) -ONT _ NO _ descriptionlan "," holetype ": H805GPFD", "alarmcll": nun "," layer ":1}
And (3) field matching rule mapping:
eventTime: time of alarm
alarmtile: type of alarm
OLTIP: OLT management IP address
locationInfo: information warning information
The slot is the plate slot position
Port-to-port information
ONUID (ONU registration ID) on OLT
B, manufacturer:
and (3) warning information: 2020-08-2711: 40:21 alarm information msgType:0, timetag: 1598499260, body Len:971, body { "alarmSeqj": 33464, "alarmTile": "[ GPON alarm ] ONU signal weakening", "alarmStatus":1, "alarmType": equi "," alignSenverity ":3," evenTime ": 2020-08-2710: 04:05", "alignId": 1595324541905"," specficProblemID ": 722449", "specficProblity": ": gpON ] ONU signal weakening", "necID": 4213ZTCS1OLT02 PU 36UU 0"," nenme ": XXX-ZX-C600", "XXXneType": OLT ", and" UXJ ":2, UXJ-190" FTXJ ": FTP": 2, FTX-3, FTOIN ":2, FTOIN-19, FTOINT": 2, FTID ":2, the ONU type name is ZTE-F622, the ONU registration information is SN HWTC9DC1109B, aid is 1705391, specific proplem is 1, the optical fiber link quality decreases; ONU service quality is degraded. Trail is provided; VendorAlarmId 722449, HolderType:, ' alarmCheck: ' NULL ', ' layer: ' 1}
Trail:；VendorAlarmId:35273","holderType":"GTGH","alarmCheck":"NULL","layer":1}
And (3) field matching rule mapping:
eventTime: time of alarm
alarmtile: type of alarm
The neName: prefecture/county/device name
locationInfo: alarm information
an slot
an _ port ═ port
an _ ONU ═ ONU number
C, manufacturer:
and (3) warning information: 2020-08-2711: 00:05 alarm information msgType:0, timeStamp:1598497206, body Len:851, body { "alarmSeeq": 11180380, "alarmTile": LINK _ LOSS "," alarmStatus ":1," alarmType ":2," communicative sAlar "," origSeverity ":2," evenTime ": 2020-08-2710:59:59", "alarmId": 133752312"," specific Problid ": 734", "specific Problim": The "The optical fiber area connected or branched device, radial 000k innormal.", "NE": 2 FHCCS 1. Na2 f "," NEXXXNEEDN-4208 ": FH-19, ONU": FTN 20, FTN-19, FTN 20-OCK # 19, "FTNOT" "FTNOT": FTN 2 ": 2FHCS 1": 2 ": FH 2": 19, "FEXYNEOTN-OB 16", "SANTO": FTNEYOB ": 8, FTNEYNTO",5516, TYPE HG260, MAC FHTT58b7dbda, LOID, ADDINFO ═ holderType ": HG260, alarmCheck": and layer ":0}
And (3) field matching rule mapping:
eventTime: time of alarm
alarmtile: type of alarm
locationInfo: alarm information
SLOT (SLOT)
PON (Passive optical network) port
ONU is numbered as ONU
OLTIP ═ OLT device address
The second step is that: configuring an alarm influence receiving rule:
alarm influence rule pre-configuration: a) when only 1ONU is hung and simultaneously alarms, the PON port is not influenced to alarm: normal; b) when 2-5 ONUs are hung, the PON port is affected and alarmed: an affected alarm; c) when the hanging ONU is more than 6 and alarms at the same time, the PON port is alarmed by unavailable: no alarm is available.
The method comprises the steps of firstly receiving all alarms of all manufacturers, wherein the alarms matched with the filtering rules need to be processed according to the filtering rules, and the unmatched alarms are not important or do not need to be processed in other states. The ONU alarm quantity of each grade under the PON port executes a corresponding rule according to the quantity, and then the grade in the ONU alarm is judged, and if the grade is a secondary grade, the alarm shadow grade affecting the PON port is a grade configured when the secondary alarm is affected; when the level is unavailable, the alarm level influencing the PON port is a configured level when the influence of the unavailable alarm is generated; all grades come out and then a grade of the high grade is taken. For example, three unavailable ONUs have serious impact; the two severe ONU impacts are minor and the PON ends up being most severe.
(1) ONU-PON port influence rule:
1) ONU impact rule 1 denotes: when an (x ═ 1) 'unavailable' (indicating an alarm level) alarm is generated, the influence on the port of the PON where the ONUs are located results in 'early warning'; when an (x ═ 1) 'affected' (indicating an alarm level) alarm is generated, the effect on the port of the PON where the ONUs are located is 'normal'; when an alarm of (x ═ 1) 'secondary influence' (indicating an alarm level) is generated, the influence on the ports of the PON where the ONUs are located results in 'normal'; when an alarm of (x ═ 1) 'early warning' (indicating an alarm level) is generated, the influence result on the port of the PON where the ONUs are located is 'normal';
2) ONU impact rule 2 indicates: when 2 to 4 (2< ═ x and x <5) 'unavailable' (indicating alarm level) alarms are generated by an ONU, the effect on the port of the PON where the ONUs are located results in 'unavailable'; when 2 to 4 ONUs (2< ═ x and x <5) 'affected' (indicating alarm level) alarms are generated, the effect on the port of the PON where the ONUs are located results in 'unavailable'; when 2 to 4 (2< ═ x and x <5) 'secondary impact' (representing an alarm level) alarms are generated by an ONU, the impact on the port of the PON where the ONUs are located results in 'impacted'; when there are 2 to 4 (2< ═ x and x <5) 'warning' (indicating warning level) alarms generated by the ONUs, the effect on the ports of the PON where the ONUs are located results in 'affected';
3) ONU impact rule 3 indicates: when 5 or more (x > -5) 'unavailable' (indicating an alarm level) alarms of the ONUs are generated, the influence on the ports of the PON where the ONUs are located results in 'unavailable'; when 5 or more (x > -5) 'affected' (indicating an alarm level) alarms are generated by the ONUs, the effect on the ports of the PON where the ONUs are located results in 'unavailable'; when 5 or more (x > -5) 'secondary influence' (indicating an alarm level) alarms are generated by the ONUs, the influence on the ports of the PON where the ONUs are located results in 'unavailable'; when 5 or more (x > -5) 'warning' (indicating warning level) alarms are generated by the ONUs, the influence result on the ports of the PON where the ONUs are located is 'influenced';
note: the configured ONU-PON influence rules need to be activated and taken into effect at the same time, so that the alarm of the ONU can generate the configuration containing a plurality of alarm related scenes.
When a plurality of ONUs are influenced under the same PON, the influence on the PON is the highest influence result.
(2) OLT alarm influence rules:
the current PON port impact rule indicates that when the highest impact alarm of one of the PON ports is "unavailable" (indicating an alarm level), the alarm impact on the OLT in which the PON port is located is 20% "affected"; when the alarm with the highest influence of one of the PON ports is 'affected' (indicating the alarm level), the alarm influence on the OLT where the PON port is located is 20% 'affected'; when the highest impact alarm of one of the PON ports is "secondary impact" (indicating alarm level), the alarm impact on the OLT in which the PON port is located is 20% "affected"; when the alarm with the highest influence of one PON port is 'early warning' (indicating the alarm level), the alarm influence on the OLT used by the PON port is 20% 'influenced'; if the influence on the entire OLT is the sum of the influence on all the PON ports under the OLT, for example, if 3 PON ports are unavailable, the influence on the OLT is calculated to be 3 × 20% — 60% — 0.6 weight, and the "alarm level configuration table (see later) indicates that the priority (result) of the influence is affected;
and when the addition result is greater than 1, calculating by a weight of 1.
∑A*B％
Batch alarm influence rules: the severity of the disruption is estimated based on the affected configuration items.
The impact rule [ em _ impact _ rule ] table contains impact rules showing applicable configuration items, business services and impact settings.
The following default impact rules are available: upward transfer based on network path; the influence transmission coefficient is 100%, 60%, 40% and 20%; the CI delivery values of the same class are added, but up to 100%
Alarm level configuration:
alarm influence rules: the relationship between the configuration items and the relative percentage impact of each sub-item configuration item is shown, representing the service mapping with configuration items in the service configuration item association [ svc _ ci _ assoc ] table. Finding configuration items containing alerts using severity color:
The third step: and (3) carrying out batch alarm grouping reduction topology analysis:
when the ONU batch original value alarms are generated simultaneously, the ONU batch original value alarms are identified as the same ONU group; the same area, the same equipment, the same PON board card, the same PON port, the same level optical splitter and the same level optical splitter can be marked as the same group; the schematic process is as follows:
1) acquiring all ONU lists of PON ports under the OLT through an acquisition tool;
reference is made to the figure as shown in figure 4
2) And through batch alarm, in the same time, the ONU which is off-line simultaneously carries out identification, and the attribution of the ONU is preliminarily judged to be the same secondary optical splitter.
And 1, round: assume that the alarm is received: and when the ONU1, the ONU2, the ONU3, the ONU4 and the ONU5 are off-line simultaneously, judging the same secondary optical splitter. Continuously iteratively correcting the calculated PON network topology as a basic version, such as V1.0, based on the V1.01 version;
and 2, round 2: assume that the alarm is received: when the system receives the simultaneous offline alarm of ONU3, ONU4, ONU5, ONU6 and ONU7, the same secondary optical splitter is judged. Continuously iteratively correcting the calculated PON network topology as V1.01 based on the version;
and (3) round: assume that the alarm is received: when the system receives the simultaneous offline alarm of ONU2, ONU3, ONU4, ONU5 and ONU8, the same secondary optical splitter is judged. Continuously iteratively correcting the calculated PON network topology as V1.02 based on the version;
and 4, round: assume that the alarm is received: when the system receives simultaneous offline alarms of ONU1, ONU2, ONU3, ONU4, ONU5 and ONU7, the same two-level optical splitter is judged. And the restored ONU3, ONU4 and ONU5 are estimated to be the same two-stage optical splitter through multiple iterations.
Reference is made to the figure as shown in figure 5
3) And repeating the second step, and continuously iterating through batch alarm analysis, and grouping the off-line ONUs at the same time so as to restore other same secondary optical splitters.
When the system receives the simultaneous offline alarm of ONU3, ONU4, ONU5, ONU6 and ONU7, the system checks whether ONU8 under the same optical splitter as ONU9 goes offline and judges the same secondary optical splitter.
The reference figure is shown in fig. 6.
And (3) improvement and optimization: firstly, data cleaning is carried out on alarm source data and types influencing topology through a configurable alarm interface and a preprocessing flow, original data influencing a convergence algorithm result are removed, then clustering algorithm is carried out on optical power data and distance data corresponding to original ONU to carry out deduction of splitter topology, then iterative data analysis is carried out through batch alarm to correct ONU grouping and topology connection relation, and alarm influence rule weighting calculation influence relation deduction and topology connection relation determination of PON ports are carried out through batch ONU disconnection.
Through the embodiment, the method can also fully explain that the alarm data of the whole OLT, the PON port and the ONU are received in real time, the alarm influence receiving rule is configured, the rule of the alarm level influence transmission is established, the alarm grouping is carried out, the fault recording information of the ONU in the same group and the on-line and off-line records of the ONU are recorded through a network clustering algorithm and an optical splitter topology reduction algorithm, the probability confirmation of continuous repeated analysis is analyzed for a long time, the possible topology connection structure analysis of two-stage optical splitting under one-stage optical splitter is realized, the purposes of not checking and plugging and unplugging tail fibers on the spot of the optical splitter and deducing the topology structure of the two-stage optical splitter are realized. Therefore, the method is separated from maintenance personnel to go to the site and does not need to plug and pull the tail fiber for processing.
The technical principle of the present invention has been described above with reference to specific embodiments, which are merely preferred embodiments of the present invention. The protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. Other embodiments of the invention will occur to those skilled in the art without the exercise of inventive faculty, and such will fall within the scope of the invention.
Claims (7)
1. An algorithm for restoring a secondary optical splitter topology based on batch alarm is characterized by comprising the following steps:
step 1), receiving alarm data of a total amount of OLT, PON ports and ONU in real time, and setting alarm data interface access;
step 2), configuring alarm influence receiving rules, establishing rules of influence transmission of alarm levels, and performing alarm grouping;
and 3) combining the alarm data in the step 2), recording and judging ONU (optical network unit) grouped data of the optical splitter topology through a network clustering algorithm, continuously deducing to improve the accuracy of an optical splitter topology graph, realizing an optical splitter topology reduction algorithm and realizing PON (passive optical network) optical splitter topology reduction.
2. The batch alarm reduction two-stage optical splitter topology based algorithm according to claim 1, wherein the step 1) of receiving the full alarm data comprises the following steps:
the related alarm data sources are synchronized at regular time through JDBC connection mode by managing and configuring the alarm data source types, database URLs, database user names, database passwords and connection parameters.
3. The batch alarm reduction two-stage optical splitter topology based algorithm according to claim 1, wherein the step 2) receiving the full alarm data is performed by receiving, transmitting and grouping according to the following steps:
alarm data filtering → data preprocessing → field mapping → alarm association binding → alarm record management.
4. The batch alarm reduction secondary optical splitter topology based algorithm according to claim 4, wherein the steps further comprise:
(1) and (3) alarm interface processing: the mapping type, the interface IP and the address configuration of the field of the connectable interface are realized through the socket interface, and the real-time alarm data and the real-time performance data are identified according to the alarm unique number to generate an alarm source;
(2) data preprocessing: all the warning source data are respectively marked as a type of warning source name by adopting rules, a unique warning receiving rule is configured for the warning source name, and the field attribute is converted for the corresponding rule of the source related to the file stream;
(3) alarm receiving rules: writing the received data meeting the rules into an event source table according to the service requirements;
(4) and (3) data filtering: performing MQ subscription on data of an event source, and performing data filtering on the related type, title, source and the like of the data source;
(5) preprocessing alarm data: merging, calculating and intercepting specific data, and preprocessing alarm data by adopting a formula or script calculation mode to generate related performance;
(6) and (3) field mapping: the preprocessed alarm data is associated according to the table attribute relationship between the alarm table attribute and the event source, and the relevant value is written into a configuration field for field mapping;
(7) and alarm association binding: performing CMDB configuration data source binding on the alarm data node attribute, and globally identifying an alarm object;
(8) an alarm table: storing the data processed by the process into an alarm table;
(9) and (3) alarm analysis: and selecting alarm data of related optical paths and related ONU, PON and OLT objects, filtering, associating and combining the alarm data, and analyzing batch interrupt information at the same time period.
5. The batch alarm reduction two-stage optical splitter topology based algorithm according to claim 3, wherein the (2) alarm receiving rule comprises:
when only 1ONU is hung and simultaneously alarms, the PON port is not influenced to alarm: normal;
when 2-5 ONUs are hung, the PON port is affected and alarmed: an affected alarm;
when the hanging ONU is more than 6 and alarms at the same time, the PON port is alarmed by unavailable: no alarm is available.
6. The batch alarm reduction two-stage optical splitter topology based algorithm according to claim 1, wherein the optical splitter topology reduction deduction comprises:
a, acquiring a corresponding relation of basic data of an OLT, a PON and an ONU-SN through an external system;
b, monitoring OPM values of every 4 groups of ONTs, if the optical channel loss is about 20-25db, judging that the OPM value is 1: a topology of total split of 64;
c, according to the initial judgment, the default topology is 1: 64-level light splitting, then alarming according to the fact that batch ONU of the same PON is off-line, recording possible probability and topology, calculating according to grouping, and finishing calculating all ONU under the current light splitter;
and D, continuously iteratively correcting the ONU grouping and topological connection relation through long-term alarm analysis and calculation.
E, a grid-based clustering method: dividing ONU receiving optical power into grid units, mapping an ONU object set into the grid units, calculating the density of each unit, judging whether each grid unit is a high-density unit or not according to a preset quantity threshold, forming the same optical splitter group E1 by adjacent dense unit groups, if the optical power greatly jitters, subdividing the optical power data group of the ONU exceeding the jittering optical power threshold in a time range into E2, judging whether the groups of E2 and E1 are overlapped or not, and basically determining the unification of the same group by the overlapped content; the changed groups are marked and identified, and the re-verification deduction is carried out by a batch alarm method.
F, distance vector clustering method based on ONU: calculating a distance radius set Eds according to the distance of the ONU: according to the obtained d-distance sets E of all the ONUs, the sets E are sorted in an ascending order to obtain d-distance sets E ', a change curve graph of d-distances in the sorted E' sets is fitted, then a curve is drawn, the value of the d-distance corresponding to the position where the change occurs rapidly is determined as a distance weight of the grouping optical splitter through observation, and the sorting of the optical splitter is obtained through weighting of the distance weight and the last E network clustering method.
7. The batch alarm reduction two-stage optical splitter topology based algorithm according to claim 2, wherein the step 1) receives an alarm data source:
11) receiving alarm flow data pushed by a manufacturer network manager in real time by using a RestFul micro-service interface,
12) The self-development program is used for realizing that the relevant alarm data is taken out from the Cobra interface of the manufacturer at regular time,
13) And receiving alarm data of related third-party monitoring or other systems by using the customized socket interface.
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