CN106572494A - Base station fault detection method and device - Google Patents
Base station fault detection method and device Download PDFInfo
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- CN106572494A CN106572494A CN201510644708.5A CN201510644708A CN106572494A CN 106572494 A CN106572494 A CN 106572494A CN 201510644708 A CN201510644708 A CN 201510644708A CN 106572494 A CN106572494 A CN 106572494A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W24/08—Testing, supervising or monitoring using real traffic
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Abstract
The invention discloses a base station fault detection method. Fault information of a base station is acquired, and the fault information is converted into fault symptom vectors; a fault detection matrix corresponding to the fault type is acquired according to the fault type of the fault information, and matrix operation is performed on the fault symptom vectors and the fault detection matrix so that fault cause vectors are obtained; and the fault causes corresponding to the fault cause components meeting the preset conditions in the fault cause vectors act as the base station fault causes. The invention also discloses a base station fault detection device. The intellectualization of base station fault detection can be enhanced by the base station fault detection method and device.
Description
Technical field
The present invention relates to communication technical field, more particularly to a kind of base station fault detection method and device.
Background technology
With the fast development of communication technology, every technology of the communications field develops therewith, currently the majority
Radio communication be all the transmission of wireless signal is carried out by base station, therefore, base station is in wireless communications
Effect is increasing, and generally when base station is broken down, because the complexity and failure of base station occur
Randomness etc., be generally all the such as alarm report, black by fault location mode to the detection of base station
What the modes such as box record, daily record upload were detected, and these detection modes can only often obtain unilateral
The information of local, even if professional participates in also needing a large amount of complicated analysis processes more, causes base
Station failure it is not intelligent enough.
The content of the invention
Present invention is primarily targeted at proposing a kind of base station fault detection method and device, it is intended to solve base
Not intelligent enough the technical problem of mode of station failure detection.
For achieving the above object, a kind of base station fault detection method that the present invention is provided, the base station fault
Detection method is comprised the following steps：
The fault message of base station is obtained, the fault message is converted into into failure symptom vector；
The corresponding fault detect matrix of the failure mode is obtained according to the failure mode of the fault message,
Matrix operationss are carried out with the fault detect matrix by the failure symptom is vectorial, obtain failure cause vector；
The corresponding failure cause of pre-conditioned failure cause component will be met in failure cause vector to make
For base station fault reason.
Preferably, the fault message of the acquisition base station, by the fault message be converted into failure symptom to
The step of amount, includes：
The fault message of base station is obtained, the corresponding failure mode of the fault message is determined；
The corresponding fault message table of the failure mode is obtained according to the failure mode, by failure letter
Breath is compared one by one with the fault message table；
The respective value of the fault message that prestores matched with the fault message in the fault message table is set to
First preset value, and by the fault message that prestores unmatched with the fault message in the fault message table
Respective value be set to the second preset value；
Failure symptom vector is combined into according to first preset value and second preset value.
Preferably, it is described that the corresponding event of the failure mode is obtained according to the failure mode of the fault message
Barrier detection matrix, carries out matrix operationss by the failure symptom is vectorial with the fault detect matrix, obtains
The step of failure cause vector includes：
Determine the corresponding failure mode of the fault message；
By default failure mode and the mapping relations of fault detect matrix, the failure mode for determining is obtained
Corresponding fault detect matrix；
Matrix operationss are carried out to failure symptom vector and the fault detect matrix for obtaining, event is obtained
Barrier reason vector.
Preferably, pre-conditioned failure cause component correspondence is met in the vector by the failure cause
Failure cause as after the step of base station fault reason, the base station fault detection method also includes：
The corresponding treatment measures of the base station fault reason are obtained according to base station fault reason, and by the place
Reason measure is sent to default display terminal, so that the display terminal shows the treatment measures.
Preferably, the fault detect matrix is subordinate to by expertise failure degree of membership and empirical data failure
Degree weighted average is obtained.
Additionally, for achieving the above object, the present invention also proposes a kind of base station fault detection means, the base
Fault detecting device of moving includes：
First processing module, for obtaining the fault message of base station, by the fault message failure is converted into
Sign vector；
Second processing module, for obtaining the failure mode pair according to the failure mode of the fault message
The fault detect matrix answered, carries out matrix operationss by the failure symptom is vectorial with the fault detect matrix,
Obtain failure cause vector；
3rd processing module, for pre-conditioned failure cause point will to be met in failure cause vector
Corresponding failure cause is measured as base station fault reason.
Preferably, the first processing module includes：
Processing unit, for obtaining the fault message of base station, determines the corresponding failure kind of the fault message
Class；
The processing unit, for obtaining the corresponding failure letter of the failure mode according to the failure mode
Breath table, the fault message is compared one by one with the fault message table；
Conversion unit, for the failure that prestores matched with the fault message in the fault message table to be believed
The respective value of breath is set to the first preset value, and will mismatch with the fault message in the fault message table
The respective value of the fault message that prestores be set to the second preset value；
Assembled unit, for being combined into failure symptom according to first preset value and second preset value
Vector.
Preferably, the Second processing module includes：
Acquiring unit, for by the mapping relations of default failure mode and fault detect matrix, obtaining
It is determined that the corresponding fault detect matrix of failure mode；
Computing unit, for carrying out square to failure symptom vector and the fault detect matrix for obtaining
Battle array computing, obtains failure cause vector.
Preferably, the base station fault detection means also includes：
Acquisition module, arranges for obtaining the corresponding process of the base station fault reason according to base station fault reason
Apply；
Sending module, for the treatment measures to be sent to into default display terminal, for the display
Terminal shows the treatment measures.
Preferably, the fault detect matrix is subordinate to by expertise failure degree of membership and empirical data failure
Degree weighted average is obtained.
Base station fault detection method proposed by the present invention and device, first obtain the fault message of base station and by institute
State fault message and be converted into failure symptom vector, then obtain right according to the failure mode of the fault message
The fault detect matrix answered, and enter row matrix fortune with the fault detect matrix by the failure symptom is vectorial
Calculate, obtain failure cause vector, finally will meet pre-conditioned failure in failure cause vector former
Because the corresponding failure cause of component is used as base station fault reason, rather than only by alarm report or daily record
The modes such as biography are detected to the failure of base station, and to be also manually analyzed and calculating after sensing, this
Scheme improves the intelligent of base station fault detection.
Description of the drawings
Fig. 1 is the schematic flow sheet of base station fault detection method first embodiment of the present invention；
Fig. 2 is that the present invention shows the flow process that the fault message is converted into failure symptom vector preferred embodiment
It is intended to；
Fig. 3 is that the present invention obtains the corresponding event of the failure mode according to the failure mode of the fault message
Barrier detection matrix, carries out matrix operationss by the failure symptom is vectorial with the fault detect matrix, obtains
The schematic flow sheet of failure cause vector preferred embodiment；
Fig. 4 is the schematic flow sheet of base station fault detection method fourth embodiment of the present invention；
Fig. 5 is the high-level schematic functional block diagram of base station fault detection means first embodiment of the present invention；
Fig. 6 is the refinement high-level schematic functional block diagram of first processing module in Fig. 5；
Fig. 7 is the refinement high-level schematic functional block diagram of Second processing module in Fig. 5；
Fig. 8 is the high-level schematic functional block diagram of base station fault detection means fourth embodiment of the present invention.
The object of the invention is realized, functional characteristics and advantage will be done referring to the drawings furtherly in conjunction with the embodiments
It is bright.
Specific embodiment
It should be appreciated that specific embodiment described herein is not used to limit only to explain the present invention
The fixed present invention.
The present invention provides a kind of base station fault detection method.
With reference to Fig. 1, Fig. 1 is the schematic flow sheet of base station fault detection method first embodiment of the present invention.
The present embodiment proposes a kind of base station fault detection method, and the base station fault detection method includes：
Step S10, obtains the fault message of base station, and the fault message is converted into into failure symptom vector；
In the present embodiment, the mode of the fault message of the acquisition base station includes：The failure of collection base station
Information simultaneously obtains the fault message of collection, or gathers event by default fault information acquisition device
Barrier information, and after fault information acquisition, obtain the failure letter of the fault information acquisition device collection
Breath.Because in a base station, there are two kinds of situations in the collection and generation of fault message, it is determined that occurring or one
With the generation of certain frequency in the section time.For the fault message occurred with certain frequency, can statistical unit when
Interior frequency, resets default threshold value, obtains statistics divided by threshold value with frequency general
Rate value, scope is (0-1), will the fault message be converted into failure symptom vector and can pass through statistical unit
The frequency of the fault message in time, then with the frequency of the fault message divided by default
Thresholding is worth to the failure symptom vector of the fault message, for example, the fault message that current base station is obtained
There is m, then build fault feature vector X (x1,x2,...,xm), if x5For the failure that certain frequency occurs
Information, and statistical probability is 0.9, then corresponding failure symptom vector for (1,0,0,0,0.9).
Step S20, according to the failure mode of the fault message the corresponding failure inspection of the failure mode is obtained
Matrix is surveyed, matrix operationss is carried out with the fault detect matrix by the failure symptom is vectorial, failure is obtained
Reason vector；
In the present embodiment, the prior preset fault message table of meeting, rule list and conclusion table, the failure
Information table includes failure mode, fault message number and fault message feature；The rule list includes failure kind
Class, fault message number, fault detect matrix；The conclusion table then includes failure mode, degree of membership and event
Barrier reason, further comprises treatment measures；The fault message table, rule list and conclusion table are all deposited
Storage is in fault message storehouse.The fault message is first obtained according to the fault message feature of the fault message
Failure mode and fault message number in the surface phenomenon of mal-function table, then according to the failure mode with
And the fault message number finds corresponding rule list, and obtain failure mode pair described in the rule list
The fault detect matrix answered, finally enters row matrix by the failure symptom is vectorial with the fault detect matrix
Computing, obtains failure cause vector.I.e. described reasoning device is from fault message storehouse according to the failure letter of input
Breath number and failure mode, index corresponding rule list, after getting corresponding fault detect matrix,
Again the fault detect matrix is carried out into matrix operationss with failure symptom vector, to obtain failure cause vector
Matrix.
Step S30, will meet the corresponding event of pre-conditioned failure cause component in failure cause vector
Barrier reason is used as base station fault reason.
In the present embodiment, according to failure mode and the default conclusion table of retrieval, to obtain the conclusion table
In failure cause vector after, it is preferably that the failure of maximum membership degree in failure cause vector is former
Because the corresponding failure cause of component is used as base station fault reason, wherein, the failure cause vector includes
Multiple failure cause components.
In the present embodiment, it is described meet it is pre-conditioned preferably include maximum membership degree or minimum degree of membership,
I.e. it is described it is pre-conditioned for maximum degree of membership when, then obtain the failure cause component correspondence of maximum membership degree
Failure cause as base station fault reason, it is described it is pre-conditioned for minimum degree of membership when, then obtain most
The corresponding failure cause of failure cause component of little degree of membership is used as base station fault reason.
The base station fault detection method that the present embodiment is proposed, first obtains the fault message of base station, will the event
Barrier information is converted into failure symptom vector, then obtains the corresponding fault detect matrix of the fault message,
And carry out matrix operationss with the fault detect matrix by the failure symptom is vectorial, obtain failure cause to
Amount, finally will meet the corresponding failure of pre-conditioned failure cause component former in failure cause vector
Because as base station fault reason, rather than only by alarm report or daily record upload etc. mode to base station therefore
Barrier is detected, and to be also manually analyzed and calculating after sensing, and this programme improves base station fault
That what is detected is intelligent.
Further, in order to improve the motility that base station fault is detected, this is proposed based on first embodiment
The second embodiment of bright base station fault detection method, in the present embodiment, with reference to Fig. 2, step S10
Including：
Step S11, obtains the fault message of base station, determines the corresponding failure mode of the fault message；
Step S12, obtains the corresponding fault message table of the failure mode, by institute according to the failure mode
State fault message to be compared one by one with the fault message table；
Step S13, by the right of the fault message that prestores matched with the fault message in the fault message table
Should be worth and be set to the first preset value, and prestore unmatched with the fault message in the fault message table
The respective value of fault message is set to the second preset value；
Step S14, according to first preset value and second preset value failure symptom vector is combined into.
Because in a base station, there are two kinds of situations in the collection and generation of fault message, it is determined that occurring or one
With the generation of certain frequency in the section time.For the fault message for determining generation with occurring and can not occur two
State representation is planted, 1 is taken as, 0, in the present embodiment is taken, the reasoning device is used for will be described
Fault message is converted into failure symptom vector, and the fault message is converted into into the side of failure symptom vector
Formula is specially the reasoning device and determines whether fault message occurs, so as to the failure of the fault message be levied
Million vectors are placed in as 1 or 0, i.e., when the fault message occurs, the reasoning device is by the fault message
Failure symptom vector be placed in as 1, when the fault message does not occur, the reasoning device is by the failure
The failure symptom vector of information is placed in as 0.That is, after fault message is got, first triggering default
Reasoning device, reasoning device determines the corresponding failure mode of the fault message, and according to the failure mode
Fault message table in retrieval fault message storehouse, because failure mode generally comprises multiple fault messages, because
This first compares the fault message for getting with the fault message table for prestoring, to determine the event
Barrier information, if fault message table is matched with prestoring, by the fault message table with the fault message
The respective value of the fault message that prestores of matching is set to the first preset value, and by the fault message table with institute
The respective value for stating the unmatched fault message that prestores of fault message is set to the second preset value, i.e. the first preset value
For 1, the second preset value is 0, be combined into finally according to first preset value and second preset value therefore
Barrier sign vector.Exist to be best understood from doing embodiment, be exemplified below：With Remote Radio Unit descending power
As a example by class failure, it is assumed that current base station equipment has m phenomenon of the failure with this kind of failure correlation, then need
Build the surface phenomenon of mal-function vector X (x1,x2,...,xm), it is assumed that m=5, x1,x5Correspondence phenomenon of the failure determines occur, then
Corresponding vector is (1,0,0,0,1).Meanwhile, judge whether all of faulted-phase judgment is complete, if do not had
Process, continued to retrieve next fault message.
Further, for there may be common phenomenon of the failure between two or more failure classes, but set
Counting principle is：Common the surface phenomenon of mal-function cannot be uniquely determined its corresponding failure classes failure to be occurred, and necessary
Occur just to can confirm that the failure classes failure occurs jointly with other failures, i.e., when there are two or more failure classes
It is now cannot to learn institute iff a phenomenon of the failure is got when there is common phenomenon of the failure
State the classification of phenomenon of the failure, then be by obtaining other phenomena of the failure, and other phenomena of the failure
The corresponding failure mode of the fault message can be distinguished, the fault message correspondence is now just can determine that
Failure mode.
Further, in order to improve the motility that base station fault is detected, this is proposed based on first embodiment
The 3rd embodiment of bright base station fault detection method, in the present embodiment, with reference to Fig. 3, step S20
Including：
Step S21, by default failure mode and the mapping relations of fault detect matrix, obtains what is determined
The corresponding fault detect matrix of failure mode；
Step S22, to failure symptom vector and the fault detect matrix for obtaining row matrix fortune is entered
Calculate, obtain failure cause vector.
In the present embodiment, according to the failure mode of the fault message, determine the failure mode pre-
If rule list in corresponding failure mode, by the mapping of default failure mode and fault detect matrix
Relation, obtains the corresponding fault detect matrix of failure mode for determining, that is to say, that in the rule list,
There is corresponding relation between failure mode and fault detect matrix, institute can be learnt according to the failure mode
The fault detect matrix of failure symptom vector is stated, and obtains the fault detect matrix, finally, will be described
Failure symptom vector carries out matrix operationss with the fault detect matrix for obtaining, and obtains failure cause vector.
To be best understood from the present embodiment, it is exemplified below：Formula is expressed as follows：
Y=XR (1)
In formula, X is that aforesaid the surface phenomenon of mal-function is vectorial, Y (θ1,θ2,...,θn) it is that failure cause is vectorial, θiIt is
Analysis object correspondence failure cause yiDegree of membership, i.e. matching degree.It is fuzzy operator, practical application
General matrix operationss can be reduced to.
R is fuzzy diagnosis matrix, and storage is failure degree of membership.In the present embodiment, the failure inspection
Survey matrix averagely to be obtained by expertise failure degree of membership and empirical data failure fuzzy set theory, that is, pass through
The ranking operation of artificial data and empirical data is obtained, and computing formula is as follows：
rij=ω1Sij+ω2vij (2)
In formula, i correspondence the surface phenomenon of mal-function, j correspondence failure causes.ω1Represent expertise weight, ω2Generation
Table empirical data weight, ω1+ω2=1.SijFor expertise failure degree of membership, vijFor empirical data failure
Degree of membership.rijRefer to the degree that the surface phenomenon of mal-function is matched with failure cause, its span is [0,1].
For example bright lower this reasoning process：
The surface phenomenon of mal-function input vector be X=(1,0,0,0,1), wherein：
x1, downgoing baseband power is too low；
x2, descending numerical-control attenuator is beyond normal range；
x3, digital to analog converter abnormal state；
x4, up bottom value of making an uproar is excessive；
x5, downlink space interface power is too low；
Understand that fault detect matrix is the matrix of 5 × 3 by aforementioned, through aforementioned matrix operationss, and normalizing
For example obtain after change：Y=(1,0.5,0.1)
So, because the failure cause corresponding to Y is：Baseband signal exception, downlink exception is up
Link exception, and if now according to maximum membership grade principle, it is known that the failure cause of current system be base
Band signal exception.
Further, in order to improve the motility that base station fault is detected, the base station fault detection method is also
Including：Step A, it is aobvious by the display terminal when the more new command of fault detect matrix is received
Show the corresponding parameter of the fault detect matrix, for the parameter that user shows to the display terminal
Modify；Step B, the change for receiving parameter complete instruction when, according to change after the ginseng
Number updates the fault detect matrix.
In the present embodiment, the rule list in the fault message storehouse, can with it is preset can also online feedback
Update, i.e., user can online be revised after certain authority is obtained to rule list, that is, receiving
During the more new command of fault detect matrix, the fault detect matrix correspondence is shown by the display terminal
Parameter, so that user modifies to the parameter that the display terminal shows, the parameter includes
Expertise weights omega1, empirical data weights omega2, expertise failure degree of membership Sij, empirical data failure
Degree of membership vijEtc. parameter, when the change for receiving parameter completes instruction, according to change after the parameter
Update the fault detect matrix.By setting corresponding authority, to meet the demand of different user, and increase
The safe coefficient of adding system.
Further, in order to improve the motility that base station fault is detected, this is proposed based on first embodiment
The fourth embodiment of bright base station fault detection method, in the present embodiment, with reference to Fig. 4, step S30
Afterwards, the base station fault detection method also includes：
Step S40, according to base station fault reason the corresponding treatment measures of the base station fault reason are obtained, and
The treatment measures are sent to into default display terminal, so that the display terminal shows that the process is arranged
Apply.
In the present embodiment, after obtaining failure cause vector, the base station is obtained according to base station fault reason
The corresponding treatment measures of failure cause, and the treatment measures are sent to into default display terminal, for
The display terminal shows the treatment measures, further, can also initiate failure letter by man-machine interface
Breath inquiry request, upon receipt of a notification.Gradually retrieve conclusion table, rule list, the event in fault message storehouse
Barrier presentation table, corresponding process data is printed, and is confirmed for user.
The present invention further provides a kind of base station fault detection means.
With reference to Fig. 5, Fig. 5 is the high-level schematic functional block diagram of base station fault detection means first embodiment of the present invention.
It is emphasized that it will be apparent to those skilled in the art that functional block diagram is only shown in Fig. 5
The exemplary plot of one preferred embodiment, those skilled in the art is around the base station fault detection shown in Fig. 5
The functional module of device, can easily carry out the supplement of new functional module；The title of each functional module is certainly
Title is defined, is only used for aiding in each program function block for understanding the base station fault detection means, be not used in
Technical scheme is limited, the core of technical solution of the present invention is, the function mould of each self-defined title
The function to be reached of block.
The present embodiment proposes a kind of base station fault detection means, and the base station fault detection means includes：
First processing module 10, for obtaining the fault message of base station, by the fault message event is converted into
Barrier sign vector；
In the present embodiment, the mode of the fault message of the acquisition of the first processing module 10 base station includes：
The fault message of collection base station simultaneously obtains the fault message of collection, or believe by default failure
Breath harvester collection fault message, and after fault information acquisition, obtain the fault information acquisition device and adopt
The fault message of collection.Because in a base station, there are two kinds of situations in the collection and generation of fault message,
It is determined that occurring or within a period of time with the generation of certain frequency.For the fault message occurred with certain frequency,
Frequency that can be in the statistical unit time, resets default threshold value, with frequency divided by thresholding
Value obtain statistical probability value, scope be (0-1), will the fault message be converted into failure symptom vector can
It is by the frequency of the fault message in the statistical unit time then secondary with the generation of the fault message
Number is worth to the failure symptom vector of the fault message divided by default ground thresholding, for example, at described first
The fault message that reason module 10 is obtained has m, then build fault feature vector X (x1,x2,...,xm), if
x5For certain frequency occur fault message, and statistical probability be 0.9, then corresponding failure symptom vector be
(1,0,0,0,0.9)。
Second processing module 20, for obtaining the failure mode according to the failure mode of the fault message
Corresponding fault detect matrix, row matrix fortune is entered with the fault detect matrix by the failure symptom is vectorial
Calculate, obtain failure cause vector；
In the present embodiment, the prior preset fault message table of meeting, rule list and conclusion table, the failure
Information table includes failure mode, fault message number and fault message feature；The rule list includes failure kind
Class, fault message number, fault detect matrix；The conclusion table then includes failure mode, degree of membership and event
Barrier reason, further comprises treatment measures；The fault message table, rule list and conclusion table are all deposited
Storage is in fault message storehouse.Fault message feature of the Second processing module 20 according to the fault message
Failure mode and fault message number of the fault message in the surface phenomenon of mal-function table is first obtained, then
Corresponding rule list is found according to the failure mode and the fault message number, and obtains the rule
The corresponding fault detect matrix of failure mode described in table, it is finally that the failure symptom is vectorial former with described
Barrier detection matrix carries out matrix operationss, obtains failure cause vector.I.e. described reasoning device is from fault message storehouse
Middle fault message number and failure mode according to input, indexes corresponding rule list, at described second
Reason module 20 is got after corresponding fault detect matrix, then by the same failure symptom of the fault detect matrix
Vector carries out matrix operationss, to obtain failure cause vector matrix.
3rd processing module 30, for pre-conditioned failure cause will to be met in failure cause vector
The corresponding failure cause of component is used as base station fault reason.
In the present embodiment, the 3rd processing module 30 is according to failure mode and retrieves default conclusion table,
After failure cause vector in obtain the conclusion table, preferably by failure cause vector most
The corresponding failure cause of failure cause component of big degree of membership as base station fault reason, wherein, it is described therefore
Barrier reason vector includes multiple failure cause components.
In the present embodiment, it is described meet it is pre-conditioned preferably include maximum membership degree or minimum degree of membership,
I.e. it is described it is pre-conditioned for maximum degree of membership when, then the 3rd processing module 30 obtains maximum membership degree
The corresponding failure cause of failure cause component as base station fault reason, it is described pre-conditioned for minimum
During degree of membership, then the 3rd processing module 30 obtains the corresponding failure original of failure cause component of minimum degree of membership
Because as base station fault reason.
The base station fault detection means that the present embodiment is proposed, first obtains the fault message of base station, will the event
Barrier information is converted into failure symptom vector, then obtains the corresponding fault detect matrix of the fault message,
And carry out matrix operationss with the fault detect matrix by the failure symptom is vectorial, obtain failure cause to
Amount, finally will meet the corresponding failure of pre-conditioned failure cause component former in failure cause vector
Because as base station fault reason, rather than only by alarm report or daily record upload etc. mode to base station therefore
Barrier is detected, and to be also manually analyzed and calculating after sensing, and this programme improves base station fault
That what is detected is intelligent.
Further, in order to improve the motility that base station fault is detected, this is proposed based on first embodiment
The second embodiment of bright base station fault detection means, in the present embodiment, with reference to Fig. 6, described first is processed
Module 10 includes：
Processing unit 11, for obtaining the fault message of base station, determines the corresponding failure of the fault message
Species；
The processing unit 11, for obtaining the corresponding failure of the failure mode according to the failure mode
Information table, the fault message is compared one by one with the fault message table；
Conversion unit 12, for the failure that prestores that will be matched with the fault message in the fault message table
The respective value of information is set to the first preset value, and by the fault message table with the fault message not
The respective value of the fault message that prestores matched somebody with somebody is set to the second preset value；
Assembled unit 13, for being combined into failure and levying according to first preset value and second preset value
Million is vectorial.
Because in a base station, there are two kinds of situations in the collection and generation of fault message, it is determined that occurring or one
With the generation of certain frequency in the section time.For the fault message for determining generation with occurring and can not occur two
State representation is planted, 1 is taken as, 0, in the present embodiment is taken, the reasoning device is used for will be described
Fault message is converted into failure symptom vector, and the fault message is converted into into the side of failure symptom vector
Formula is specially the reasoning device and determines whether fault message occurs, so as to the failure of the fault message be levied
Million vectors are placed in as 1 or 0, i.e., when the fault message occurs, the reasoning device is by the fault message
Failure symptom vector be placed in as 1, when the fault message does not occur, the reasoning device is by the failure
The failure symptom vector of information is placed in as 0.That is, getting failure letter in the processing unit 11
After breath, default reasoning device is first triggered, determine the corresponding failure mode of the fault message, and according to institute
The fault message table in failure mode retrieval fault message storehouse is stated, because failure mode generally comprises multiple events
Barrier information, therefore the processing unit 11 is first by the fault message for getting and the fault message for prestoring
Table is compared, to determine the fault message, if fault message table is matched with prestoring, and described
Conversion unit 12 will be corresponding with the fault message that prestores of fault message matching in the fault message table
Value is set to the first preset value, and by the fault message table it is unmatched with the fault message prestore therefore
The respective value of barrier information is set to the second preset value, i.e., described first preset value is 1, and first preset value is
0, the last assembled unit 13 is combined into failure according to first preset value and second preset value
Sign vector.Exist to be best understood from doing embodiment, be exemplified below：With Remote Radio Unit descending power class
As a example by failure, it is assumed that current base station equipment has m phenomenon of the failure with this kind of failure correlation, then need structure
Build the surface phenomenon of mal-function vector X (x1,x2,...,xm), it is assumed that m=5, x1,x5Correspondence phenomenon of the failure determines occur, then right
The vector answered is (1,0,0,0,1).Meanwhile, judge whether all of faulted-phase judgment is complete, if do not located
Manage, continued to retrieve next fault message.
Further, for there may be common phenomenon of the failure between two or more failure classes, but set
Counting principle is：Common the surface phenomenon of mal-function cannot be uniquely determined its corresponding failure classes failure to be occurred, and necessary
Occur just to can confirm that the failure classes failure occurs jointly with other failures, i.e., when there are two or more failure classes
When there is common phenomenon of the failure, if the processing unit 11 only gets a phenomenon of the failure, this
When be the classification that cannot learn the phenomenon of the failure, then the processing unit 11 will by obtain other
Phenomenon of the failure, and other phenomena of the failure can distinguish the corresponding failure mode of the fault message,
Now just can determine that the corresponding failure mode of the fault message.
Further, in order to improve the motility that base station fault is detected, this is proposed based on first embodiment
The 3rd embodiment of bright base station fault detection means, in the present embodiment, with reference to Fig. 7, the second processing
Module 20 includes：
Acquiring unit 21, for by the mapping relations of default failure mode and fault detect matrix, obtaining
Take the corresponding fault detect matrix of failure mode of determination；
Computing unit 22, for carrying out to failure symptom vector and the fault detect matrix for obtaining
Matrix operationss, obtain failure cause vector.
In the present embodiment, according to the failure mode of the fault message, determine the failure mode pre-
If rule list in corresponding failure mode, by the mapping of default failure mode and fault detect matrix
Relation, the acquiring unit 21 obtains the corresponding fault detect matrix of failure mode for determining, that is to say, that
In the rule list, there is corresponding relation between failure mode and fault detect matrix, according to the event
Barrier species can learn the fault detect matrix of the failure symptom vector, and the acquiring unit 21 is obtained
The fault detect matrix is taken, finally, the computing unit 22 is vectorial and acquisition by the failure symptom
The fault detect matrix carries out matrix operationss, obtains failure cause vector.To be best understood from the present embodiment,
It is exemplified below：Formula is expressed as follows：
Y=XR (1)
In formula, X is that aforesaid the surface phenomenon of mal-function is vectorial, Y (θ1,θ2,...,θn) it is that failure cause is vectorial, θiIt is
Analysis object correspondence failure cause yiDegree of membership, i.e. matching degree.It is fuzzy operator, practical application
General matrix operationss can be reduced to.
R is fuzzy diagnosis matrix, and storage is failure degree of membership.In the present embodiment, the failure inspection
Survey matrix averagely to be obtained by expertise failure degree of membership and empirical data failure fuzzy set theory, that is, pass through
The ranking operation of artificial data and empirical data is obtained, and computing formula is as follows：
rij=ω1Sij+ω2vij (2)
In formula, i correspondence the surface phenomenon of mal-function, j correspondence failure causes.ω1Represent expertise weight, ω2Generation
Table empirical data weight, ω1+ω2=1.SijFor expertise failure degree of membership, vijFor empirical data failure
Degree of membership.rijRefer to the degree that the surface phenomenon of mal-function is matched with failure cause, its span is [0,1].
For example bright lower this reasoning process：
The surface phenomenon of mal-function input vector be X=(1,0,0,0,1), wherein：
x1, downgoing baseband power is too low；
x2, descending numerical-control attenuator is beyond normal range；
x3, digital to analog converter abnormal state；
x4, up bottom value of making an uproar is excessive；
x5, downlink space interface power is too low；
Understand that fault detect matrix is the matrix of 5 × 3 by aforementioned, through aforementioned matrix operationss, and normalizing
For example obtain after change：Y=(1,0.5,0.1)
So, because the failure cause corresponding to Y is：Baseband signal exception, downlink exception is up
Link exception, and if now according to maximum membership grade principle, it is known that the failure cause of current system be base
Band signal exception.
Further, in order to improve the motility that base station fault is detected, the base station fault detection means is also
Including：Display module, for when the more new command of fault detect matrix is received, by the display
Terminal shows the corresponding parameter of the fault detect matrix, for the institute that user shows to the display terminal
State parameter to modify；Update module, for completing in the change for receiving parameter during instruction, according to more
The parameter after changing updates the fault detect matrix.
In the present embodiment, the rule list in the fault message storehouse, can with it is preset can also online feedback
Update, i.e., user can online be revised after certain authority is obtained to rule list, that is, receiving
During the more new command of fault detect matrix, the display module shows the failure by the display terminal
The corresponding parameter of detection matrix, so that user modifies to the parameter that the display terminal shows,
The parameter includes expertise weights omega1, empirical data weights omega2, expertise failure degree of membership Sij,
Empirical data failure degree of membership vijEtc. parameter, when the change for receiving parameter completes instruction, the renewal
Module according to change after the parameter update the fault detect matrix.By setting corresponding authority, with
Meet the demand of different user, and increase the safe coefficient of system.
Further, in order to improve the motility that base station fault is detected, this is proposed based on first embodiment
The fourth embodiment of bright base station fault detection means, in the present embodiment, with reference to Fig. 8, the base station fault
Detection means also includes：
Acquisition module 40, for obtaining the corresponding process of the base station fault reason according to base station fault reason
Measure；
Sending module 50, for the treatment measures to be sent to into default display terminal, for described aobvious
Show that terminal shows the treatment measures.
In the present embodiment, after obtaining failure cause vector, the acquisition module 40 is former according to base station fault
Because obtaining the corresponding treatment measures of the base station fault reason, and the sending module 50 is by the process
Measure is sent to default display terminal, so that the display terminal shows the treatment measures, further
Ground, can also initiate fault message inquiry request, upon receipt of a notification by man-machine interface.Gradually retrieve event
Conclusion table, rule list, the surface phenomenon of mal-function table in barrier information bank, corresponding process data is printed,
Confirmed for user.
It should be noted that herein, term " including ", "comprising" or its any other variant
Be intended to including for nonexcludability so that process, method, article including a series of key elements or
Person's device not only includes those key elements, but also including other key elements being not expressly set out, or also
Including the key element intrinsic for this process, method, article or device.In the feelings without more restrictions
Under condition, the key element limited by sentence "including a ...", it is not excluded that including the key element process,
Also there is other identical element in method, article or device.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-mentioned
Embodiment method can add the mode of required general hardware platform to realize by software, naturally it is also possible to logical
Cross hardware, but in many cases the former is more preferably embodiment.It is of the invention based on such understanding
The part that technical scheme substantially contributes in other words to prior art can in the form of software product body
Reveal and, the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disc, light
Disk) in, including some instructions are used so that a station terminal equipment (can be mobile phone, computer is serviced
Device, air-conditioner, or network equipment etc.) perform method described in each embodiment of the invention.
The preferred embodiments of the present invention are these are only, the scope of the claims of the present invention is not thereby limited, it is every
The equivalent structure made using description of the invention and accompanying drawing content or equivalent flow conversion, or directly or
Connect and be used in other related technical fields, be included within the scope of the present invention.
Claims (10)
1. a kind of base station fault detection method, it is characterised in that the base station fault detection method include with
Lower step：
The fault message of base station is obtained, the fault message is converted into into failure symptom vector；
The corresponding fault detect matrix of the failure mode is obtained according to the failure mode of the fault message,
Matrix operationss are carried out with the fault detect matrix by the failure symptom is vectorial, obtain failure cause vector；
The corresponding failure cause of pre-conditioned failure cause component will be met in failure cause vector to make
For base station fault reason.
2. base station fault detection method as claimed in claim 1, it is characterised in that the acquisition base station
Fault message, by the fault message be converted into failure symptom vector step include：
The fault message of base station is obtained, the corresponding failure mode of the fault message is determined；
The corresponding fault message table of the failure mode is obtained according to the failure mode, by failure letter
Breath is compared one by one with the fault message table；
The respective value of the fault message that prestores matched with the fault message in the fault message table is set to
First preset value, and by the fault message that prestores unmatched with the fault message in the fault message table
Respective value be set to the second preset value；
Failure symptom vector is combined into according to first preset value and second preset value.
3. base station fault detection method as claimed in claim 1, it is characterised in that described in the basis
The failure mode of fault message obtains the corresponding fault detect matrix of the failure mode, and the failure is levied
Million it is vectorial carry out matrix operationss with the fault detect matrix, obtain failure cause vector step include：
By default failure mode and the mapping relations of fault detect matrix, the failure mode for determining is obtained
Corresponding fault detect matrix；
Matrix operationss are carried out to failure symptom vector and the fault detect matrix for obtaining, event is obtained
Barrier reason vector.
4. base station fault detection method as claimed in claim 1, it is characterised in that it is described will it is described therefore
Meet the pre-conditioned corresponding failure cause of failure cause component in barrier reason vector former as base station fault
Because the step of after, the base station fault detection method also includes：
The corresponding treatment measures of the base station fault reason are obtained according to base station fault reason, and by the place
Reason measure is sent to default display terminal, so that the display terminal shows the treatment measures.
5. the base station fault detection method as described in any one of claim 1-4, it is characterised in that described
Fault detect matrix is averagely obtained by expertise failure degree of membership and empirical data failure fuzzy set theory.
6. a kind of base station fault detection means, it is characterised in that the base station fault detection means includes：
First processing module, for obtaining the fault message of base station, by the fault message failure is converted into
Sign vector；
Second processing module, for obtaining the failure mode pair according to the failure mode of the fault message
The fault detect matrix answered, carries out matrix operationss by the failure symptom is vectorial with the fault detect matrix,
Obtain failure cause vector；
3rd processing module, for pre-conditioned failure cause point will to be met in failure cause vector
Corresponding failure cause is measured as base station fault reason.
7. base station fault detection means as claimed in claim 6, it is characterised in that described first is processed
Module includes：
Processing unit, for obtaining the fault message of base station, determines the corresponding failure kind of the fault message
Class；
The processing unit, for obtaining the corresponding failure letter of the failure mode according to the failure mode
Breath table, the fault message is compared one by one with the fault message table；
Conversion unit, for the failure that prestores matched with the fault message in the fault message table to be believed
The respective value of breath is set to the first preset value, and will mismatch with the fault message in the fault message table
The respective value of the fault message that prestores be set to the second preset value；
Assembled unit, for being combined into failure symptom according to first preset value and second preset value
Vector.
8. base station fault detection means as claimed in claim 6, it is characterised in that the second processing
Module includes：
Acquiring unit, for by the mapping relations of default failure mode and fault detect matrix, obtaining
It is determined that the corresponding fault detect matrix of failure mode；
Computing unit, for carrying out square to failure symptom vector and the fault detect matrix for obtaining
Battle array computing, obtains failure cause vector.
9. base station fault detection means as claimed in claim 6, it is characterised in that the base station fault
Detection means also includes：
Acquisition module, arranges for obtaining the corresponding process of the base station fault reason according to base station fault reason
Apply；
Sending module, for the treatment measures to be sent to into default display terminal, for the display
Terminal shows the treatment measures.
10. the base station fault detection means as described in any one of claim 6-9, it is characterised in that described
Fault detect matrix is averagely obtained by expertise failure degree of membership and empirical data failure fuzzy set theory.
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| CN201510644708.5A CN106572494A (en) | 2015-10-08 | 2015-10-08 | Base station fault detection method and device |
| PCT/CN2016/086695 WO2016198006A1 (en) | 2015-10-08 | 2016-06-22 | Base station malfunction checking method and device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510644708.5A CN106572494A (en) | 2015-10-08 | 2015-10-08 | Base station fault detection method and device |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108401257A (en) * | 2018-03-06 | 2018-08-14 | 北京全路通信信号研究设计院集团有限公司 | Railway base station integrated monitoring system |
| CN109274533A (en) * | 2018-09-28 | 2019-01-25 | 中国电子科技集团公司第十五研究所 | A kind of positioning device and method of the Web service failure of rule-based engine |
| CN109905278A (en) * | 2019-02-28 | 2019-06-18 | 深圳力维智联技术有限公司 | Base station fault detection method, device and storage medium based on big data |
| CN110267288A (en) * | 2019-05-22 | 2019-09-20 | 中国联合网络通信集团有限公司 | Mobile network complains localization method and device |
| CN111818566A (en) * | 2020-06-30 | 2020-10-23 | 武汉虹信通信技术有限责任公司 | Radio frequency signal fault monitoring device |
| WO2022142927A1 (en) * | 2020-12-30 | 2022-07-07 | 中兴通讯股份有限公司 | Rule-based fault analysis method and apparatus, device, and storage medium |
| CN117640346A (en) * | 2024-01-25 | 2024-03-01 | 中兴***技术有限公司 | Communication equipment fault diagnosis method, storage medium and computer equipment |
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| CN112379200B (en) * | 2020-11-10 | 2024-02-13 | 深圳市康必达控制技术有限公司 | Fault positioning and solving method |
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| US7392143B2 (en) * | 2006-03-14 | 2008-06-24 | The University Of Texas System Board Of Regents | Monitoring and fault diagnosis of single-and multi-converter power systems |
| CN101446827B (en) * | 2008-11-06 | 2011-06-22 | 西安交通大学 | Process fault analysis device of process industry system and method therefor |
| CN102818948B (en) * | 2012-07-16 | 2015-03-25 | 北京航空航天大学 | Synthetic diagnosing method based on fuzzy fault diagnosis and relevancy model diagnosis |
| CN104504607A (en) * | 2014-09-04 | 2015-04-08 | 国家电网公司 | Method for diagnosing photovoltaic power station faults on the basis of fuzzy clustering algorithm |
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| CN108401257A (en) * | 2018-03-06 | 2018-08-14 | 北京全路通信信号研究设计院集团有限公司 | Railway base station integrated monitoring system |
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| CN109905278A (en) * | 2019-02-28 | 2019-06-18 | 深圳力维智联技术有限公司 | Base station fault detection method, device and storage medium based on big data |
| CN110267288A (en) * | 2019-05-22 | 2019-09-20 | 中国联合网络通信集团有限公司 | Mobile network complains localization method and device |
| CN110267288B (en) * | 2019-05-22 | 2022-04-15 | 中国联合网络通信集团有限公司 | Mobile network complaint positioning method and device |
| CN111818566A (en) * | 2020-06-30 | 2020-10-23 | 武汉虹信通信技术有限责任公司 | Radio frequency signal fault monitoring device |
| CN111818566B (en) * | 2020-06-30 | 2022-09-27 | 武汉虹信科技发展有限责任公司 | Radio frequency signal fault monitoring device |
| WO2022142927A1 (en) * | 2020-12-30 | 2022-07-07 | 中兴通讯股份有限公司 | Rule-based fault analysis method and apparatus, device, and storage medium |
| CN117640346A (en) * | 2024-01-25 | 2024-03-01 | 中兴***技术有限公司 | Communication equipment fault diagnosis method, storage medium and computer equipment |
| CN117640346B (en) * | 2024-01-25 | 2024-06-21 | 中兴***技术有限公司 | Communication equipment fault diagnosis method, storage medium and computer equipment |
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|---|---|
| WO2016198006A1 (en) | 2016-12-15 |
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