CN106162698A - Network Abnormal problem analysis method and device - Google Patents
Network Abnormal problem analysis method and device Download PDFInfo
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Abstract
The open a kind of Network Abnormal problem analysis method of the present invention and device.The method comprise the steps that and determine the original data set of whole objects in network；The object of abnormal problem occurred from initial data screening；Traversal original data set determines complete or collected works' data of abnormal problem object；Determine the comprehensive assessment value of abnormal problem object；Abnormal problem analysis result is presented according to comprehensive assessment value.The present invention, by excluding the normal data of no problem object in mass data, is analyzed by the data of in-problem exception object, thus solves that the magnanimity abnormal problem data treatment effeciency when analyzing is low and the bottleneck problem of equipment disposal ability.
Description
Technical field
The present invention relates to network optimisation techniques field, particularly to a kind of Network Abnormal case study
Method and apparatus.
Background technology
Along with the universal progressively popularization with 4G network of 3G network, mobile network has become as use
The requisite communication infrastructure in family.But while operator provides good service, it is faced with into
The pressure that this control and profit increase, and along with network and the continuous expansion of userbase, how
Utilize existing resource, from a large amount of anomalous events, analyze problem rule, by strengthening at problem
Reason efficiency, thus promote user's perception and quality of service is also a problem the most urgent.
For the abnormal problem of mass data, the process that realizes of prior art is: according to user
Base values data needed for message registration extraction；Then use according to each index difference assessed value statistics
Family or the comprehensive scoring event of network, reflect user's perception or network quality with this.
Assume that certain districts and cities user's communication record data volume of continuous a week is 1.8 hundred million, in statistics
Whole 1.8 hundred million data will be analyzed, include the normal data of no problem among these and can reflect that user feels
Knowing or the abnormal data of network quality, then counting user or the comprehensive scoring event of network, be given
The analysis result of abnormal problem.
When using existing technical scheme that abnormal problem is analyzed, major part for be all
Under specific scope (the most a small amount of VIP user/test user or the network of little scope), right
The index of correlation of user's perception or network quality is analyzed, a user's perception of final offer or net
The statistic analysis result of network quality.
After existing technical scheme is in the construction being applied to reality and O&M environment, need analysis
Abnormal problem the data more and more scale of tens the most hundreds of hundred million (mass data can reach),
And owing to cost limits, there is limitation in the disposal ability of soft hardware equipment, will cause existing scheme
Cannot really land execution.
Summary of the invention
In view of above technical problem, the invention provides a kind of Network Abnormal problem analysis method and dress
Put, exclude the normal data of no problem object in mass data, use in-problem exception object
Data be analyzed, thus solve mass data abnormal problem analyze in analysis bottleneck.
According to an aspect of the present invention, it is provided that a kind of Network Abnormal problem analysis method, including:
Determine the original data set of whole objects in network；
The object of abnormal problem occurred from initial data screening；
Traversal original data set determines complete or collected works' data of abnormal problem object；
Determine the comprehensive assessment value of abnormal problem object；
Abnormal problem analysis result is presented according to comprehensive assessment value.
In one embodiment of the invention, from initial data screening, the right of abnormal problem occurred
The step of elephant includes:
Determine the screening conditions of abnormal problem data；
Abnormal problem data are filtered out from initial data according to described screening conditions；
The object that abnormal problem occurred is determined according to abnormal problem data.
In one embodiment of the invention, the step of the screening conditions of abnormal problem data is determined
Including:
Determine the filtration thresholding of screening index and screening index；
The screening conditions of abnormal problem data are determined according to described filtration thresholding.
In one embodiment of the invention, object is user, community or base station；Initial data
Set includes object set, also includes traffic statistics performance data set, message registration set, drive test
At least one in data acquisition system.
In one embodiment of the invention, the step of the comprehensive assessment value of abnormal problem object is determined
Suddenly include:
Determine the weight of evaluation index, evaluation index；
Weight according to each evaluation index and the assessed value of each evaluation index, obtain abnormal asking
The comprehensive assessment value of topic object.
In one embodiment of the invention, abnormal problem analysis knot is presented according to comprehensive assessment value
The step of fruit includes:
The degree of object generation abnormal problem is analyzed according to comprehensive assessment value；
The concrete condition of display object generation abnormal problem.
According to a further aspect in the invention, it is provided that a kind of Network Abnormal case study device, including former
Beginning data capture unit, exception object determine unit, complete or collected works' data determination unit, assessment unit,
Display unit, wherein:
Initial data acquiring unit, for determining the original data set of whole objects in network；
Exception object determines unit, for there is the object of abnormal problem from initial data screening；
Complete or collected works' data determination unit, determines abnormal problem object for traveling through original data set
Complete or collected works' data；
Assessment unit, for determining the comprehensive assessment value of abnormal problem object；
Display unit, for presenting abnormal problem analysis result according to comprehensive assessment value.
In one embodiment of the invention, exception object determines that unit includes that screening conditions determine
Module, abnormal data acquisition module and abnormal data acquisition module, wherein:
Screening conditions determine module, for determining the screening conditions of abnormal problem data；
Abnormal data acquisition module, for filtering out different according to described screening conditions from initial data
Often problem data；
Exception object determines module, for determining abnormal problem occurred according to abnormal problem data
Object.
In one embodiment of the invention, screening conditions determine that module includes that thresholding determines submodule
Block and condition determine submodule, wherein:
Thresholding determines submodule, for determining the filtration thresholding of screening index and screening index；
Condition determines submodule, for determining the sieve of abnormal problem data according to described filtration thresholding
Select condition.
In one embodiment of the invention, object is user, community or base station；Initial data
Set includes object set, also includes traffic statistics performance data set, message registration set, drive test
At least one in data acquisition system.
In one embodiment of the invention, assessment unit includes Weight Acquisition module and comprehensively comments
Estimate module, wherein:
Weight Acquisition module, for determining the weight of evaluation index, evaluation index；
Comprehensive assessment module, for according to the weight of each evaluation index and each evaluation index
Assessed value, obtains the comprehensive assessment value of abnormal problem object.
In one embodiment of the invention, display unit includes analyzing module and display module,
Wherein:
Analyze module, for analyzing the degree of object generation abnormal problem according to comprehensive assessment value；
Display module, for showing the concrete condition of object generation abnormal problem.
The present invention, by excluding the normal data of no problem object in mass data, asks with existence
The data of the exception object of topic are analyzed, thus solve magnanimity abnormal problem data and analyzing
Time treatment effeciency is low and the bottleneck problem of equipment disposal ability.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will
The accompanying drawing used required in embodiment or description of the prior art is briefly described, it is clear that
Ground, the accompanying drawing in describing below is only some embodiments of the present invention, skill common for this area
From the point of view of art personnel, on the premise of not paying creative work, it is also possible to obtain according to these accompanying drawings
Obtain other accompanying drawing.
Fig. 1 is the schematic diagram that inventive network abnormal problem analyzes one embodiment of method.
Fig. 2 is the schematic diagram of anomaly sieving problem objects in one embodiment of the invention.
Fig. 3 is the schematic diagram of inventive network abnormal problem analytical equipment embodiment.
Fig. 4 is the schematic diagram that in one embodiment of the invention, exception object determines unit.
Fig. 5 is the schematic diagram that in one embodiment of the invention, screening conditions determine module.
Fig. 6 is the schematic diagram assessing unit in one embodiment of the invention.
Fig. 7 is the schematic diagram of display unit in one embodiment of the invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, to the technical scheme in the embodiment of the present invention
It is clearly and completely described, it is clear that described embodiment is only that a part of the present invention is real
Execute example rather than whole embodiments.Description at least one exemplary embodiment is actual below
On be merely illustrative, never as to the present invention and application thereof or any restriction of use.Base
Embodiment in the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, broadly falls into the scope of protection of the invention.
Unless specifically stated otherwise, the parts illustrated the most in these embodiments are relative with step
Layout, numerical expression and numerical value do not limit the scope of the invention.
Simultaneously, it should be appreciated that for the ease of describing, the size of the various piece shown in accompanying drawing
It is not to draw according to actual proportionate relationship.
May not make in detail for technology, method and apparatus known to person of ordinary skill in the relevant
Discuss, but in the appropriate case, described technology, method and apparatus should be considered to authorize description
A part.
Shown here with in all examples discussed, any occurrence should be construed as merely and show
Example rather than as limit.Therefore, other example of exemplary embodiment can have not
Same value.
It should also be noted that similar label and letter expression similar terms in following accompanying drawing, therefore,
The most a certain Xiang Yi accompanying drawing is defined, then need not it is entered in accompanying drawing subsequently
One step discussion.
Fig. 1 is the schematic diagram that inventive network abnormal problem analyzes one embodiment of method.Preferably
, the present embodiment can be performed by inventive network abnormal problem analytical equipment.The method include with
Lower step:
Step 101, determines the original data set DATA_ALL of whole objects in network.
In one embodiment of the invention, object includes user, community or base station.
In one embodiment of the invention, original data set DATA_ALL includes object
Set, also includes traffic statistics performance data set COUNTER_ALL, user's communication record set
Close at least one in CDL_ALL, drive test data set DT_ALL, wherein traffic statistics performance
Data, i.e. traffic statistics, be to calling network, congestion ratio, percent of call completed, cutting off rate,
Handover success rate, channel are distributed into the statistical data of the various index such as power, telephone traffic.
Step 102, from original data set, there is the object of abnormal problem in screening.
In one embodiment of the invention, abnormal problem includes but not limited to there is call drop, gathers around
The situations such as plug.
In one embodiment of the invention, step 102 may include that for whole objects
User's communication record data (user's communication set of records ends CDL_ALL) are screened and are filtered,
Filter out and the user of abnormal problem, community or base station once occurred.
Step 103, traversal original data set determines complete or collected works' data of abnormal problem object again.
In one embodiment of the invention, step 103 may include that again travel through whole
User's communication record, will appear from all records of the user of abnormal problem, community or base station all
Preserve, be divided into normal user data, call drop user data, congested according to its problem characteristic
User data etc..
Step 104, determines the comprehensive assessment value of abnormal problem object.
In one embodiment of the invention, step 104 specifically may include that based on filtering out
Data, with user, community or base station as dimension, add up each user, community or base station
Comprehensive assessment value, wherein assesses the index related to and includes: total talk times, the duration of call, fall
Words rate, congestion ratio, average call duration etc..
In one embodiment of the invention, step 104 specifically may include that with abnormal problem
User SUBBAD_i or network element ELEMENTBAD_i is dimension, and according to evaluation index
INDICATOR_i, calculates the comprehensive assessment value of each user or network element
SUBBADSCORE_i, ELEMENTBADSCORE_i, add abnormal problem user's
Scoring set SUBBAD_SCORE or the scoring set of abnormal problem network element
ELEMENTBAD_SCORE。
In one embodiment of the invention, step 104 specifically may include that and determines that assessment refers to
Mark, the weight of evaluation index；And according to the weight of each evaluation index and each evaluation index
Assessed value, obtain abnormal problem object comprehensive assessment value.
Step 105, presents abnormal problem analysis result according to comprehensive assessment value.
In one embodiment of the invention, step 105 specifically may include that according to comprehensively commenting
Valuation filters out the object (user, community or base station) that there is abnormal problem；According to comprehensively commenting
The degree of object generation abnormal problem is analyzed in valuation；And show the concrete of object generation abnormal problem
Situation, in order to client checks use or the ruuning situation of object.
The Network Abnormal problem analysis method provided based on the above embodiment of the present invention, for magnanimity
Total data carries out statistical disposition, thus ensure that analysis result is undistorted.
Meanwhile, the above embodiment of the present invention carries out screening and filtering to magnanimity abnormal problem data, right
In user or network element that abnormal problem did not occur, then it is assumed that user's perception or network quality are just
Often, these data are not analyzed；Only for user or net that abnormal problem once occurred
Unit, the achievement data of statistical correlation also calculates its comprehensive score.I.e., in data processing,
Process for mass data is only data filtering, the aggregation process of mass data that it goes without doing, because of
This is relatively low to the internal memory of server and the requirement of CPU.
Additionally, the data volume rationally filtered out is only the 10%～30% of original anomaly problem data
Left and right (is affected by difference scenes), and therefore the investment of the storage device such as server can be dropped significantly
Low, can effectively control cost, reduce by the operation cost input of 30%～40%；Simultaneously as
Data volume reduces, and reduces the performance requirement of system, reduces the complexity of platform, can improve
The stability of platform.
Fig. 2 is the schematic diagram of anomaly sieving problem objects in one embodiment of the invention.Such as Fig. 2 institute
Showing, the step 102 in Fig. 1 embodiment may include that
Step 201, determines the screening conditions of abnormal problem data.Step 201 specifically can be wrapped
Include: determine screening index INDICATOR for anomaly sieving data and described screening
The filtration thresholding VALUE of index；The sieve of abnormal problem data is determined according to described filtration thresholding
Select condition.
In one embodiment of the invention, screening index includes total talk times
CALL_COUNT, duration of call CALL_LEN, cutting off rate DROP_RATE, gather around
Plug rate CONGEST_RATE, average call duration CALL_LEN_AVG etc..
In one embodiment of the invention, screening conditions are for filtering out more than or less than filtering door
The abnormal problem data of limit.
Step 202, occurred abnormal problem according to described screening conditions from initial data screening
Data acquisition system DATA_BAD, wherein, abnormal problem includes but not limited to cutting off rate
The situations such as DROP_RATE is abnormal, congestion ratio CONGEST_RATE is abnormal, ask extremely
Topic data acquisition system DATA_BAD include abnormal traffic statistics data acquisition system COUNTER_BAD,
The subsets such as abnormal user message registration set CDL_BAD.
Step 203, determines object abnormal problem occurred according to abnormal problem data.
In one embodiment of the invention, step 203 may include that according in step 202
Abnormal problem data, determine that the user that there is abnormal problem gathers SUB_BAD_ALL or net
Unit set ELEMENT_BAD_ALL, i.e. the user of problem will once occur
SUBBAD_i or network element ELEMENTBAD_i increases in above-mentioned two set and locates
Reason.
The above embodiment of the present invention is based on the whole network operation/maintenance data, at existing abnormal problem
Carry out upgrading innovation on analytical plan, screen out the normal data of a large amount of no problem, based on existence
The object of abnormal data is marked statistics targetedly, is perfectly combined data mining and transports with network
Dimension technology, thus solve the magnanimity abnormal problem data treatment effeciency when analyzing and lowly and set
The bottleneck problem of standby disposal ability, can preferably meet the actual demand of user.
Meanwhile, the above embodiment of the present invention can be according to actual demand, to data filtering
Condition is modified and adjusts, and is conveniently extended.
Below by concrete example, inventive network abnormal problem is analyzed method to illustrate:
The present embodiment realizes certain districts and cities for analyzing method by this invention inventive network abnormal problem
The abnormal problem analysis of 1.8 hundred million user's communication records of mobile network presents.
1. determine data
In the present embodiment, certain districts and cities mobile network all users collection is combined into SUB_ALL, Yong Hutong
Words log data set is combined into CDL_ALL, including 1.8 hundred million user's communication records.
2. the user that abnormal communication occurs is identified from initial data screening
Based on user's communication set of records ends CDL_ALL, screen and filter, filter out once
Through occurring that the perception difference user of abnormal problem gathered SUB_BAD, abnormal problem include but not
It is limited to have call drop, have the situations such as congested.
A) if perception difference user SUBBAD_i, then set SUB_BAD is put into；No
It is perception difference user, is then perception normal user SUBNORM_i, puts into perception the most conventional
Family set SUB_NORM.
B) the present embodiment selects index that two degree perceptually relevant with user are the highest as screening altogether
Condition, the index for screening includes: cutting off rate DROP_RATE, congestion ratio
CONGEST_RATE。
C) abnormal problem is defined as the desired value of user SUB_i and (is labeled as more than criteria thresholds
$value)。
3. traversal searches all records of perception difference user
1.8 hundred million user's communication set of records ends SUB_ALL of traversal again, will appear from abnormal logical
All message registration CDL_SUBBAD of the user SUBBAD_i of words preserve, shape
Become the message registration record list SUBBAD_CDLLIST of perception difference user.
SUBBAD_CDLLIST includes:
A) user's communication set of records ends SUBBAD_CDL_BAD of perception difference；
B) perception normal user's communication set of records ends SUBBAD_CDL_NORM.
4. obtain the comprehensive assessment value of perception difference user
All message registrations based on the perception difference user SUBBAD_i filtered out
CDL_SUBBAD, with user SUBBAD_i as dimension, and user based on perception difference is led to
User's communication record in words set of records ends SUBBAD_CDL_BAD, according to evaluation index
Weight INDICATOR_WEIGHT_i of INDICATOR_i and assessed value
INDICATOR_SCORE_i obtains the comprehensive assessment value of each user SUBBAD_i
SUBBADSCORE_i, adds the comprehensive assessment value set of perception difference user to
In SUBBAD_SCORE.
A) computing formula is: SUBBADSCORE_i=∑
(INDICATOR_WEIGHT_i × INDICATOR_SCORE_i), wherein, i takes
From SUBBAD_CDL_BAD.
B) index that assessment relates to includes: when total talk times CALL_COUNT, call
Long CALL_LEN, cutting off rate DROP_RATE, congestion ratio CONGEST_RATE,
The indexs such as average call duration CALL_LEN_AVG.
C) weight of each index is respectively as follows: total talk times weight
CALLCOUNT_WEIGHT, duration of call weight CALLLEN_WEIGHT, fall
Words rate weight DROPRATE_WEIGHT, congestion ratio weight
CONGESTRATE_WEIGHT, average call duration weight
CALLLENAVG_WEIGHT。
D) assessed value of each index is respectively as follows: total talk times weight CALLCOUNT_
SCORE, duration of call weight CALLLEN_SCORE, cutting off rate weight
DROPRATE_SCORE, congestion ratio weight CONGESTRATE_SCORE, average
Duration of call weight CALLLENAVG_SCORE.
5. according to scoring result, can analysis and assessment go out perception difference user, it is possible to look into
See the concrete perception situation of each user.
As a example by certain districts and cities user's communication record data volume of continuous a week: its original user is conversed
Record quantity CDL_A is at 1.8 hundred million, and quantity CDL_B after screening is at 2000w bar
Left and right, CDL_B data volume is only about the 10% of original data volume CDL_A, it is only necessary to right
CDL_B carries out scoring and analyzes.Show that abnormal communication record occurred in the user of only 10%,
Remaining user's communication of 90% is recorded as the normal talking record of normal users, and this 90% can not
It is considered.
Network Abnormal problem analysis method based on the above embodiment of the present invention, analyzes abnormal using
Family message registration, improves a lot than the efficiency of front scheme, and can greatly reduce platform needs place
The data volume of reason, it is not necessary to user's communication record data all of to the whole network are analyzed, effectively
Alleviate the processing pressure of equipment.
Fig. 3 is the schematic diagram of inventive network abnormal problem analytical equipment embodiment.As it is shown on figure 3,
Described Network Abnormal case study device includes that initial data acquiring unit 1, exception object determine
Unit 2, complete or collected works' data determination unit 3, assessment unit 4, display unit 5, wherein:
Initial data acquiring unit 1, for determining the original data set of whole objects in network.
In one embodiment of the invention, object includes user, community or base station.
In one embodiment of the invention, original data set DATA_ALL includes object
Set, also includes traffic statistics performance data set COUNTER_ALL, user's communication record set
Close at least one in CDL_ALL, drive test data set DT_ALL.
Exception object determines unit 2, for there is the right of abnormal problem from initial data screening
As.
In one embodiment of the invention, abnormal problem includes but not limited to there is call drop, gathers around
The situations such as plug.
In one embodiment of the invention, exception object determines that unit 2 specifically may be used for pin
The user's communication record data (user's communication set of records ends CDL_ALL) of whole objects are entered
Row filter and filtration, filter out and the user of abnormal problem, community or base station once occurred.
Complete or collected works' data determination unit 3, is used for traveling through original data set and determines abnormal problem object
Complete or collected works' data.
In one embodiment of the invention, complete or collected works' data determination unit 3 specifically may be used for again
The user's communication record that secondary traversal is whole, will appear from the user of abnormal problem, community or base station
All records all preserve, be divided into normal user data, call drop to use according to its problem characteristic
User data, congested user data etc..
Assessment unit 4, for determining the comprehensive assessment value of abnormal problem object.
In one embodiment of the invention, assessment unit 4 specifically may be used for based on filtering out
Data, with user, community or base station as dimension, add up each user, community or base station
Comprehensive assessment value, wherein assesses the index related to and includes: total talk times, the duration of call, fall
Words rate, congestion ratio, average call duration etc.
Display unit 5, for presenting abnormal problem analysis result according to comprehensive assessment value.
In one embodiment of the invention, display unit 5 specifically may be used for according to comprehensively commenting
Valuation filters out the object (user, community or base station) that there is abnormal problem；According to comprehensively commenting
The degree of object generation abnormal problem is analyzed in valuation；And show the concrete of object generation abnormal problem
Situation, in order to client checks use or the ruuning situation of object.
The Network Abnormal case study device provided based on the above embodiment of the present invention, locates efficiently
Reason analyzes the mobile network's abnormal problem in mass data, selects different sieves according to actual scene
Selecting condition to carry out the filtration of mass data, the object that will appear from abnormal problem carries out reducing data volume
The classification analysis of level is such that it is able to greatly reduce the data volume that platform need to process, it is not necessary to the whole network
All of user's communication record data are analyzed, and are effectively reduced the processing pressure of equipment.
Fig. 4 is the schematic diagram that in one embodiment of the invention, exception object determines unit.Such as Fig. 4 institute
Showing, the exception object in Fig. 3 determines that unit 2 includes that screening conditions determine module 21, abnormal number
According to acquisition module 22 and abnormal data acquisition module 23, wherein:
Screening conditions determine module 21, for determining the screening conditions of abnormal problem data.
In one embodiment of the invention, as it is shown in figure 5, the described screening bar shown in Fig. 5
Part determines that module 21 includes that thresholding determines that submodule 211 and condition determine submodule 212, wherein:
Thresholding determines submodule 211, for determining the filtration of screening index and screening index
Thresholding.Wherein, when screening index can include total talk times CALL_COUNT, call
Long CALL_LEN, cutting off rate DROP_RATE, congestion ratio CONGEST_RATE,
Average call duration CALL_LEN_AVG etc..
Condition determines submodule 212, for determining abnormal problem data according to described filtration thresholding
Screening conditions.
In one embodiment of the invention, screening conditions are for filtering out more than or less than filtering door
The abnormal problem data of limit.
Abnormal data acquisition module 22, for filtering out from initial data according to described screening conditions
Now crossing the data acquisition system DATA_BAD of abnormal problem, wherein, abnormal problem includes but does not limits
In situations such as cutting off rate DROP_RATE exception, congestion ratio CONGEST_RATE exceptions,
Abnormal problem data acquisition system DATA_BAD includes abnormal traffic statistics data acquisition system
The subsets such as COUNTER_BAD, abnormal user message registration set CDL_BAD.
Exception object determines module 23, abnormal asking occurs for determining according to abnormal problem data
The object of topic.
In one embodiment of the invention, exception object determines that module 23 specifically may be used for root
According to abnormal problem data acquisition system, determine that the user that there is abnormal problem gathers SUB_BAD_ALL
Or network element set ELEMENT_BAD_ALL, i.e. the user of problem will once occur
SUBBAD_i or network element ELEMENTBAD_i increases in above-mentioned two set and locates
Reason.
The condition of data filtering can be entered by the above embodiment of the present invention according to actual demand
Row amendment and adjustment, thus be conveniently extended, preferably to meet the actual demand of user.
Fig. 6 is the schematic diagram assessing unit in one embodiment of the invention.As shown in Figure 6, Fig. 3
Assessment unit 4 in embodiment includes Weight Acquisition module 41 and comprehensive assessment module 42, wherein:
Weight Acquisition module 41, for determining the weight of evaluation index, evaluation index.
Comprehensive assessment module 42, for the weight according to each evaluation index and each evaluation index
Assessed value, obtain abnormal problem object comprehensive assessment value.
The above embodiment of the present invention can be based on the comprehensive grading principle object to there is abnormal data
It is analyzed presenting, the order of severity of abnormal problem is carried out quantitative evaluation, thus the fullest
The foot actual demand of user.
In one embodiment of the invention, comprehensive assessment module 42 is specifically for poor based on perception
User's communication set of records ends SUBBAD_CDL_BAD in user's communication record, according to
Weight INDICATOR_WEIGHT_i of evaluation index INDICATOR_i and assessed value
INDICATOR_SCORE_i obtains the comprehensive assessment value of each user SUBBAD_i
SUBBADSCORE_i, wherein, i takes from SUBBAD_CDL_BAD, adds perception to
In the comprehensive assessment value set SUBBAD_SCORE of difference user.
In one embodiment of the invention, comprehensive assessment module 42 is specifically for according to formula
SUBBADSCORE_i=∑ (INDICATOR_WEIGHT_i ×
INDICATOR_SCORE_i)
Obtain comprehensive assessment value SUBBADSCORE_i of i-th perception difference user.
In one embodiment of the invention, the index that assessment relates to includes: total talk times
CALL_COUNT, duration of call CALL_LEN, cutting off rate DROP_RATE, gather around
The indexs such as plug rate CONGEST_RATE, average call duration CALL_LEN_AVG.
In one embodiment of the invention, the weight of above-mentioned each index is respectively as follows: total call time
Number weight CALLCOUNT_WEIGHT, duration of call weight
CALLLEN_WEIGHT, cutting off rate weight DROPRATE_WEIGHT, congestion ratio
Weight CONGESTRATE_WEIGHT, average call duration weight
CALLLENAVG_WEIGHT。
In one embodiment of the invention, the assessed value of These parameters is respectively as follows: total call time
Number weights CALLCOUNT_SCORE, duration of call weight CALLLEN_SCORE,
Cutting off rate weight DROPRATE_SCORE, congestion ratio weight
CONGESTRATE_SCORE, average call duration weight
CALLLENAVG_SCORE。
Fig. 7 is the schematic diagram of display unit in one embodiment of the invention.As it is shown in fig. 7, Fig. 3
Display unit 5 in embodiment includes analyzing module 51 and display module 52, wherein:
Analyze module 51, for filtering out the object that there is abnormal problem according to comprehensive assessment value
(user, community or base station), and analyze object generation abnormal problem according to comprehensive assessment value
Degree.
Display module 52, for showing the concrete condition of object generation abnormal problem, in order to client
Check use or the ruuning situation of object.
The above embodiment of the present invention is based on the whole network operation/maintenance data, at existing abnormal problem
Carry out upgrading innovation on analytical plan, screen out the normal data of a large amount of no problem, based on existence
The object of abnormal data is marked statistics targetedly, is perfectly combined data mining and transports with network
Dimension technology, thus solve the magnanimity abnormal problem data treatment effeciency when analyzing and lowly and set
The bottleneck problem of standby disposal ability, can preferably meet the actual demand of user.
Initial data acquiring unit 1 described above, exception object determine unit 2, complete
Collection data determination unit 3, the assessment functional unit such as unit 4, display unit 5 can be implemented as using
In perform the general processor of function described herein, programmable logic controller (PLC) (PLC),
Digital signal processor (DSP), special IC (ASIC), field-programmable gate array
Row (FPGA) or other PLDs, discrete gate or transistor logic,
Discrete hardware components or it is the most appropriately combined.
So far, the present invention is described in detail.In order to avoid covering the design of the present invention, do not have
Details more known in the field are described.Those skilled in the art as described above, completely
It can be appreciated how implement technical scheme disclosed herein.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment
Can be completed by hardware, it is also possible to instruct relevant hardware by program and complete, described
Program can be stored in a kind of computer-readable recording medium, and storage medium mentioned above is permissible
It is read only memory, disk or CD etc..
Description of the invention is given for the sake of example and description, and is not exhaustively
Or it limit the invention to disclosed form.Many modifications and variations are for the common skill of this area
It is obvious for art personnel.Selecting and describing embodiment is the principle in order to the present invention is more preferably described
Apply with reality, and make those of ordinary skill in the art it will be appreciated that the present invention thus design is suitable
The various embodiments with various amendments in special-purpose.
Claims (12)
1. a Network Abnormal problem analysis method, it is characterised in that including:
Determine the original data set of whole objects in network；
The object of abnormal problem occurred from initial data screening；
Traversal original data set determines complete or collected works' data of abnormal problem object；
Determine the comprehensive assessment value of abnormal problem object；
Abnormal problem analysis result is presented according to comprehensive assessment value.
Method the most according to claim 1, it is characterised in that filter out from initial data
The step of the object now crossing abnormal problem includes:
Determine the screening conditions of abnormal problem data；
Abnormal problem data are filtered out from initial data according to described screening conditions；
The object that abnormal problem occurred is determined according to abnormal problem data.
Method the most according to claim 2, it is characterised in that determine abnormal problem data
The step of screening conditions include:
Determine the filtration thresholding of screening index and screening index；
The screening conditions of abnormal problem data are determined according to described filtration thresholding.
Method the most according to claim 1, it is characterised in that
Object is user, community or base station；
Original data set includes object set, also includes traffic statistics performance data set, call note
At least one in record set, drive test data set.
5. according to the method according to any one of claim 1-4, it is characterised in that determine different
Often the step of the comprehensive assessment value of problem objects includes:
Determine the weight of evaluation index, evaluation index；
Weight according to each evaluation index and the assessed value of each evaluation index, obtain abnormal asking
The comprehensive assessment value of topic object.
6. according to the method according to any one of claim 1-4, it is characterised in that according to combining
Conjunction assessed value presents the step of abnormal problem analysis result and includes:
The degree of object generation abnormal problem is analyzed according to comprehensive assessment value；
The concrete condition of display object generation abnormal problem.
7. a Network Abnormal case study device, it is characterised in that include that initial data obtains
Unit, exception object determine unit, complete or collected works' data determination unit, assessment unit, display unit,
Wherein:
Initial data acquiring unit, for determining the original data set of whole objects in network；
Exception object determines unit, for there is the object of abnormal problem from initial data screening；
Complete or collected works' data determination unit, determines abnormal problem object for traveling through original data set
Complete or collected works' data；
Assessment unit, for determining the comprehensive assessment value of abnormal problem object；
Display unit, for presenting abnormal problem analysis result according to comprehensive assessment value.
Device the most according to claim 7, it is characterised in that exception object determines unit
Module, abnormal data acquisition module and abnormal data acquisition module is determined including screening conditions, its
In:
Screening conditions determine module, for determining the screening conditions of abnormal problem data；
Abnormal data acquisition module, for filtering out different according to described screening conditions from initial data
Often problem data；
Exception object determines module, for determining abnormal problem occurred according to abnormal problem data
Object.
Device the most according to claim 8, it is characterised in that screening conditions determine module
Determine that submodule and condition determine submodule, wherein including thresholding:
Thresholding determines submodule, for determining the filtration thresholding of screening index and screening index；
Condition determines submodule, for determining the sieve of abnormal problem data according to described filtration thresholding
Select condition.
Device the most according to claim 7, it is characterised in that
Object is user, community or base station；
Original data set includes object set, also includes traffic statistics performance data set, call note
At least one in record set, drive test data set.
11. according to the device according to any one of claim 7-10, it is characterised in that assessment
Unit includes Weight Acquisition module and comprehensive assessment module, wherein:
Weight Acquisition module, for determining the weight of evaluation index, evaluation index；
Comprehensive assessment module, for according to the weight of each evaluation index and each evaluation index
Assessed value, obtains the comprehensive assessment value of abnormal problem object.
12. according to the device according to any one of claim 7-10, it is characterised in that present
Unit includes analyzing module and display module, wherein:
Analyze module, for analyzing the degree of object generation abnormal problem according to comprehensive assessment value；
Display module, for showing the concrete condition of object generation abnormal problem.
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| CN201510189283.3A CN106162698A (en) | 2015-04-15 | 2015-04-15 | Network Abnormal problem analysis method and device |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106911517A (en) * | 2017-03-22 | 2017-06-30 | 杭州东方通信软件技术有限公司 | A kind of end-to-end positioning problems method and system of mobile Internet |
| CN107787000A (en) * | 2017-10-16 | 2018-03-09 | 北京全路通信信号研究设计院集团有限公司 | GSM-R network circuit domain full-interface service data monitoring system |
| CN109522300A (en) * | 2018-10-24 | 2019-03-26 | 南京邮电大学 | Valid data screening plant |
| CN110840430A (en) * | 2018-08-21 | 2020-02-28 | 北京万生人和科技有限公司 | Intra-abdominal pressure data screening method, computer-readable storage medium, and intra-abdominal pressure data screening device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102014409A (en) * | 2010-12-16 | 2011-04-13 | 北京邮电大学 | Abnormal coverage self-detection system and method of wireless access network |
| CN102137115A (en) * | 2011-04-22 | 2011-07-27 | 南京邮电大学 | Method for evaluating malicious code attack effect of communication network |
| CN102217358A (en) * | 2011-04-15 | 2011-10-12 | 华为技术有限公司 | Method and system for remotely detecting information of base station antenna |
| CN103179594A (en) * | 2011-12-21 | 2013-06-26 | 北京亿阳信通科技有限公司 | Method and device for optimizing wireless network on basis of road test data |
| CN103501503A (en) * | 2013-09-06 | 2014-01-08 | 大唐移动通信设备有限公司 | Network problem analyzing method and network problem analyzing device |
-
2015
- 2015-04-15 CN CN201510189283.3A patent/CN106162698A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102014409A (en) * | 2010-12-16 | 2011-04-13 | 北京邮电大学 | Abnormal coverage self-detection system and method of wireless access network |
| CN102217358A (en) * | 2011-04-15 | 2011-10-12 | 华为技术有限公司 | Method and system for remotely detecting information of base station antenna |
| CN102137115A (en) * | 2011-04-22 | 2011-07-27 | 南京邮电大学 | Method for evaluating malicious code attack effect of communication network |
| CN103179594A (en) * | 2011-12-21 | 2013-06-26 | 北京亿阳信通科技有限公司 | Method and device for optimizing wireless network on basis of road test data |
| CN103501503A (en) * | 2013-09-06 | 2014-01-08 | 大唐移动通信设备有限公司 | Network problem analyzing method and network problem analyzing device |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106911517A (en) * | 2017-03-22 | 2017-06-30 | 杭州东方通信软件技术有限公司 | A kind of end-to-end positioning problems method and system of mobile Internet |
| CN106911517B (en) * | 2017-03-22 | 2020-06-26 | 杭州东方通信软件技术有限公司 | Method and system for positioning end-to-end problem of mobile internet |
| CN107787000A (en) * | 2017-10-16 | 2018-03-09 | 北京全路通信信号研究设计院集团有限公司 | GSM-R network circuit domain full-interface service data monitoring system |
| CN110840430A (en) * | 2018-08-21 | 2020-02-28 | 北京万生人和科技有限公司 | Intra-abdominal pressure data screening method, computer-readable storage medium, and intra-abdominal pressure data screening device |
| CN110840430B (en) * | 2018-08-21 | 2022-09-13 | 北京万生人和科技有限公司 | Intra-abdominal pressure data screening method, computer-readable storage medium, and intra-abdominal pressure data screening device |
| CN109522300A (en) * | 2018-10-24 | 2019-03-26 | 南京邮电大学 | Valid data screening plant |
| CN109522300B (en) * | 2018-10-24 | 2021-09-28 | 南京邮电大学 | Effective data screening device |
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