CN109387715A - A kind of converter valve state online evaluation method and device based on grey cluster - Google Patents
A kind of converter valve state online evaluation method and device based on grey cluster Download PDFInfo
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Abstract
The converter valve state online evaluation method and device based on grey cluster that the present invention provides a kind of, this method comprises: obtaining the online monitoring data of converter valve in preset period of time；The status assessment index matrix of converter valve is established according to online monitoring data, and the score value that parameter class is respectively assessed in status assessment index matrix is calculated according to online monitoring data；Grey classes, which are preset, according at least three constructs whitened weight function corresponding to each default grey class respectively；According to the default weighted value of each assessment parameter class and the whitened weight function of the score value of each assessment parameter class, the cluster weight of each default grey class is calculated separately using grey clustering algorithm；The operating status of converter valve is assessed according to each cluster weight.By applying the present invention, realizing the real-time assessment to converter valve operating status without human intervention, assessment result accuracy is improved, and realizes and potential risk prediction is carried out to converter valve, provides good data basis for the scheduled overhaul of converter valve.
Description
Technical field
The present invention relates to electric power O&M technical fields, and in particular to a kind of converter valve state based on grey cluster is commented online
Estimate method and device.
Background technique
LCC-HVDC DC engineering is currently under the High Speed Construction phase, is limited by having for past converter valve on-line monitoring technique
The presence of limit development, current commutation valve was assessed also in traditional artificial monitoring evaluation stage.At present for LCC-HVDC
The converter valve monitoring and evaluation mode of DC engineering is specifically included that surrounds and watches survey by converter station operation maintenance personnel outside, assesses converter valve
Online operating condition；Or by the peripheral remote monitor device such as infrared tester of valve hall, monitor converter valve particular device
Relevant parameter, then by operation maintenance personnel by the data of background monitoring system carry out analyze and determine converter valve on-line operation situation；
In addition, the finite data of valve control system monitoring converter valve thyristor level and board also by converter valve itself, by valve control system
System independently judges and reports background monitoring system, prompts the on-line operation situation of operation maintenance personnel converter valve.And existing these change
Flow all generally existing following problems of valve unit monitoring appraisal procedure: assessment factor is not comprehensive, and major part assessment factor is all with can at present
Based on factor, there is one-sidedness；Manual operation is needed, converter valve is mark with rules and regulations in fortune status assessment foundation
Standard, based on operation maintenance personnel acquisition monitoring；It predicts that potential risk ability is poor, can only currently pass through converter valve redundancy thyristor grade
Quantity predicts converter valve failure risk；And the scheduled overhaul for being difficult for converter valve provides the problems such as good data are supported.
Summary of the invention
The converter valve state online evaluation method and device based on grey cluster that the embodiment of the invention provides a kind of, with gram
The assessment factor for taking converter valve appraisal procedure in the prior art is not comprehensive, has one-sidedness, and need manual operation, predicts
Potential risk ability is poor, it is difficult to provide the problems such as good data are supported for the scheduled overhaul of converter valve.
The converter valve state online evaluation method based on grey cluster that the embodiment of the invention provides a kind of, comprising: obtain
The online monitoring data of converter valve in preset period of time；It is commented according to the state that the online monitoring data establishes the converter valve
Estimate index matrix, and calculates the scoring for respectively assessing parameter class in the status assessment index matrix according to the online monitoring data
Value；Grey classes, which are preset, according at least three constructs whitened weight function corresponding to each default grey class respectively；Joined according to each assessment
The whitened weight function of the score value of several classes of default weighted value and each assessment parameter class, is counted respectively using grey clustering algorithm
Calculate the cluster weight of each default grey class；The operating status of the converter valve is assessed according to each cluster weight.
Optionally, the status assessment index matrix are as follows:
D=[d1,d2,d3,d4…dn],
Wherein, D indicates the status assessment index matrix, d1,d2,d3,d4…dnRespectively indicate the status assessment index
Each assessment parameter class in matrix.
Optionally, the cluster weight is calculated using following formula:
Wherein, δmIndicate the cluster weight corresponding to m-th of default grey class, fm(dj) indicate j-th of assessment ginseng
Several classes of whitened weight functions corresponding to m-th of default grey class, ωjIndicate the corresponding default power of j-th of assessment parameter class
Weight values, n indicate the number of the assessment parameter class.
Optionally, described that the operating status of the converter valve is assessed according to each cluster weight, comprising: judgement
It whether is default cluster weight peak value including at least two cluster weights in each cluster weight；When each cluster is weighed
When not including that at least two cluster weights cluster weight peak value to preset in value, determine that the operating status of the converter valve is
The default grey class corresponding to the maximum cluster weight of numerical value in each cluster value.
Optionally, the converter valve state online evaluation method based on grey cluster, further includes: when each cluster is weighed
When including that at least two cluster weights cluster weight peak value to preset in value, determine the operating status of the converter valve for institute
Stating cluster weight is the default grey class that operating status is worst in the default grey class of default cluster weight peak value.
Optionally, the default grey class includes: to operate normally class, be unable to operate normally class and at least an intermediate state class.
Optionally, it is described according at least three default grey classes construct each default grey class respectively corresponding to whitened weight function
Later, it is weighed in the albefaction of the default weighted value according to each assessment parameter class and the score value of each assessment parameter class
Function, it is described based on ash before each cluster weight that described at least three preset grey classes is calculated separately using grey clustering algorithm
The converter valve state online evaluation method of color cluster further include: whitened weight function corresponding to class is unable to operate normally described in judgement
Functional value whether be default whitened weight function peak value；When the functional value is not default whitened weight function peak value, institute is executed
The whitened weight function for stating the score value of the default weighted value and each assessment parameter class according to each assessment parameter class, uses
Grey clustering algorithm calculates separately the step of each cluster weight of described at least three default grey classes.
Optionally, the converter valve state online evaluation method based on grey cluster further include: when the functional value is
When default whitened weight function peak value, then determine that the operating status of the converter valve is unable to operate normally class to be described.
Optionally, the converter valve state online evaluation method based on grey cluster further include: when the converter valve
The assessment result of operating status is not when being unable to operate normally class, and converter valve is online in the execution acquisition preset period of time
The step of monitoring data.
Optionally, the endpoint value of the value range of each whitened weight function is identical.
Optionally, in the acquisition preset period of time after the online monitoring data of converter valve, according to it is described
Line monitoring data are established before the status assessment index matrix of the converter valve, and the converter valve state based on grey cluster exists
Line appraisal procedure further include: filter the abnormal data in the online monitoring data according to default screening conditions, generate effectively prison
Measured data.
The embodiment of the invention also provides a kind of converter valve state online evaluation device based on grey cluster, comprising:
Line monitoring data obtain module, for obtaining the online monitoring data of converter valve in preset period of time；Score value computing module,
For establishing the status assessment index matrix of the converter valve according to the online monitoring data, and according to the on-line monitoring number
According to the score value for respectively assessing parameter class in the calculating status assessment index matrix；Whitened weight function constructs module, is used for basis
At least three default grey classes construct whitened weight function corresponding to each default grey class respectively；Weight computing module is clustered, root is used for
According to the whitened weight function of the score value of the default weighted value and each assessment parameter class of each assessment parameter class, using grey
Clustering algorithm calculates separately each cluster weight of described at least three default grey classes；Operating status evaluation module, for according to each
The cluster weight assesses the operating status of the converter valve.
The embodiment of the invention also provides a kind of non-transient computer readable storage medium, the non-transient computer is readable
Storage medium stores computer instruction, and the computer instruction is for making the computer execute above-mentioned changing based on grey cluster
Flow valve state online evaluation method.
The embodiment of the invention also provides a kind of computer equipments, comprising: at least one processor；And with it is described at least
Wherein, the memory is stored with the finger that can be executed by least one described processor to the memory of one processor communication connection
Enable, described instruction executed by least one described processor so that at least one described processor execute it is above-mentioned based on grey
The converter valve state online evaluation method of cluster.
Technical solution of the present invention has the advantages that
Converter valve state online evaluation method provided in an embodiment of the present invention based on grey cluster, by obtaining a prison
The online monitoring data of converter valve in the period is surveyed, and status assessment index matrix is established with this, calculates and respectively assesses ginseng in the matrix
Several classes of score values constructs each and presets the corresponding whitened weight function of grey class, respectively according to above-mentioned each assessment parameter class
Whitened weight function corresponding to default weighted value and score value calculates separately the poly- of each default grey class using grey clustering algorithm
Class weight assesses the operating status of converter valve according to each cluster weight.It realizes without manual operation to the change of current
The real-time assessment of valve operating status, and using the online monitoring data of converter valve as foundation, assessment result accuracy is improved, is passed through
Different default grey classes, which is realized, carries out potential risk prediction to converter valve, provides good number for the scheduled overhaul of converter valve
According to basis.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow chart of the converter valve state online evaluation method based on grey cluster in the embodiment of the present invention；
Fig. 2 is another flow chart of the converter valve state online evaluation method based on grey cluster in the embodiment of the present invention；
Fig. 3 is another flow chart of the converter valve state online evaluation method based on grey cluster in the embodiment of the present invention；
Fig. 4 is another flow chart of the converter valve state online evaluation method based on grey cluster in the embodiment of the present invention；
Fig. 5 is the structural schematic diagram of the converter valve state online evaluation device based on grey cluster in the embodiment of the present invention；
Fig. 6 is the structural schematic diagram of computer equipment in the embodiment of the present invention.
Specific embodiment
Technical solution of the present invention is clearly and completely described below in conjunction with attached drawing, it is clear that described implementation
Example is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill
Personnel's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
As long as in addition, the non-structure each other of technical characteristic involved in invention described below different embodiments
It can be combined with each other at conflict.
Embodiment 1
The converter valve state online evaluation method based on grey cluster that the embodiment of the invention provides a kind of, as shown in Figure 1,
The converter valve state online evaluation method based on grey cluster includes:
Step S1: the online monitoring data of converter valve in preset period of time is obtained.Specifically, the online monitoring data packet
Include valve tower ontology key parameter operation data, valve control system operation data and water-cooling system operation data, valve hall temperature data, valve
Room humidity data etc..
Step S2: the status assessment index matrix of converter valve is established according to online monitoring data, and according to on-line monitoring number
According to the score value for respectively assessing parameter class in calculating status assessment index matrix.Specifically, in practical applications, parameter class is respectively assessed
Score value can according to converter valve professional technician based on converter valve model emulation set parameter state variation point domain letter
Number obtains the score function of each assessment parameter class to be scored to obtain the score value of each assessment parameter class.
Step S3: grey classes are preset according at least three and construct whitened weight function corresponding to each default grey class respectively.Specifically
Ground, different default grey classes indicate the different operating statuses of converter valve, comprising: operate normally class, are unable to operate normally class and extremely
A few intermediate state class.Wherein, the intermediate state class refer to converter valve operating status is predicted it is intermediate, such as:
When only one intermediate state class, it can be that there are failure risk classes；It, can be according to prediction when there is multiple intermediate state classes
There is a possibility that failure risk size and is divided into rudimentary failure risk class, intermediate failure risk class, advanced failure risk in converter valve
Class etc. predicts the operating status of converter valve with this.
Step S4: letter is weighed according to the albefaction of the default weighted value of each assessment parameter class and the score value of each assessment parameter class
Number calculates separately the cluster weight of each default grey class using grey clustering algorithm.Specifically, the default weight of parameter class is respectively assessed
Value is that converter valve technical staff empirically analyze and obtains, and the sum of each default weighted value is 1.
Step S5: the operating status of converter valve is assessed according to each cluster weight.Specifically, in practical applications,
Default grey class corresponding to the maximum cluster weight of numerical value is the operating status of converter valve.
S1 to step S5 through the above steps, the converter valve state provided in an embodiment of the present invention based on grey cluster are online
Appraisal procedure realizes the real-time assessment to converter valve operating status without human intervention, improves assessment result accuracy, and
It realizes and potential risk prediction is carried out to converter valve, provide good data basis for the scheduled overhaul of converter valve.
The converter valve state provided in an embodiment of the present invention based on grey cluster is commented online below with reference to specific example
The method of estimating is described in detail.
LCC-HVDC change of current valve system is made of change of current valve body, converter valve water-cooling system and valve control system three parts,
Middle change of current valve body is located in the valve hall of converter valve, mostly uses water cooling, air insulation, suspension type structure, by thyristor grade list
The core cells such as member, series connection water route, static voltage sharing and triggering monitoring board are constituted, and are in strong-electromagnetic field environment during operation
In, while valve reactor causes change of current valve body to be in frequency low-amplitude concussion alternately across high frequency variable-current, it is newest
On-line monitoring technique can realize the on-line monitoring to change of current valve body key element；Converter valve water-cooling system is divided into outer cold system
System and inner cold system are in the independent valve cold house of ambient temperature and moisture in addition to valve tower cooling water channel, and valve cooling system is as independent embedding
Enter system, there is independent monitoring function；Valve control system mainly includes valve base electronic device and triggering monitoring unit, triggering therein
Monitoring unit is located in converter valve valve tower ontology, is in high potential, protects indoor valve base electronic device by optical fiber and control
It is connected, valve control system equally has independent self-checking function.The operation conditions of LCC-HVDC converter valve is not only with each point of converter valve
The key parameter of system is directly related, is also influenced by external factor such as working environments locating for converter valve.
Specifically, in one embodiment, above-mentioned step S1 obtains the on-line monitoring number of converter valve in preset period of time
According to.In practical applications, valve tower ontology key parameter operation conditions, valve control system operation conditions and water-cooling system operation conditions structure
At the basic direct factor of converter valve health Evaluation.The operation conditions of converter valve is also indirectly by the environmental factor shadow of converter valve
It rings, including valve hall temperature, valve hall humidity etc., when valve hall humidity obviously increases, can directly reduce the dielectric level between valve tower section.
In addition, the historical factors such as converter valve year stoppage in transit maintenance situation also influence the current operation conditions of converter valve indirectly.This is online
Monitoring data include supplemental characteristic and environmental factor data of above-mentioned each subsystem of converter valve etc., so that the assessment factor considered
More fully, and then the consistency of assessment result Yu actual motion state has been ensured.
In a preferred embodiment, above-mentioned step S2, refers to according to the status assessment that online monitoring data establishes converter valve
Matrix is marked, and calculates the score value for respectively assessing parameter class in status assessment index matrix according to online monitoring data, it specifically, should
Shown in status assessment index matrix such as formula (1):
D=[d1,d2,d3,d4…dn] (1)
Wherein, D indicates status assessment index matrix, d1,d2,d3,d4…dnIt respectively indicates in status assessment index matrix
Each assessment parameter class.
In practical applications, above-mentioned status assessment index matrix can be divided according to the data type of online monitoring data
The quantity that parameter class is assessed in evaluation index matrix can be arranged, in addition, for every in class according to requirement of the reality to Evaluation accuracy
One assessment parameter class can also be decomposed into multiple specific assessment parameters, such as: valve control system operation conditions parameter class can be into
One step is decomposed into multiple design parameters in valve control system operational process.
In practical applications, the calculating of above-mentioned score value can divide domain by that will assess parametric functionization and shrink to assess, i.e.,
Each assessment parameter sets point domain of parameter state variation according to converter valve professional technician based on converter valve model emulation
Function, and set quantization point domain and be divided into as [0,1], such as by converter valve operating status: it can operate normally, have failure risk and mistake
Effect these three types obtain the score function of each assessment parameter, as shown in formula (2):
Wherein, r (x) is to assess parameter x in degradation function of " can operate normally " the section intrinsic parameter with respect to rated value, setting
R (x) ∈ [0.9,1], a, b are limiting value of the parameter x in " can operate normally " section；G (x) is that assessment parameter x " is having failure wind
Danger " section intrinsic parameter with respect to the degradation function of rated value, define g (x) ∈ [0.7,0.9), b, c " are having failure wind for parameter x
The limiting value in danger " section.Defining 0 is to assess parameter in the value in " failure " section, and c, ∞ are pole of the parameter x in " failure " section
Limit value.While " parameter scores function " ensures parameter scores non-artificial factor, the number field reduction of all assessment parameters are arrived
[0,1] is divided in domain, with the calculating of the subsequent cluster weight of simplification.It is protected with converter valve damping resistance and valve control system forward direction overvoltage
It protects for the two parameter evaluation classes of number, as shown in Table 1 and Table 2.
Table 1: converter valve damping resistance (linearly assessing parameter) score function
Table 2: valve control system forward direction overvoltage protection number (discrete type assessment parameter) score function
In a preferred embodiment, above-mentioned step S3 constructs each default grey class according at least three default grey classes respectively
Corresponding whitened weight function, specifically, default ash class include: to operate normally class, be unable to operate normally among class and at least one
State class.It should be noted that being with default grey class are as follows: operate normally class, be unable to operate normally in embodiments of the present invention
Class has and is illustrated for failure risk class, and multiple intermediate state classes can also be arranged according to actual needs in practical applications,
The present invention is not limited thereto.Such as: as shown in table 3 with the grey class definition of above-mentioned each default grey class, three default grey class institutes
The whitened weight function of building is as shown in table 4.
Table 3: the default grey class definition of converter valve status assessment
Table 4: converter valve status assessment ash class whitened weight function
Specifically, the d in above-mentioned table 4jIndicate the score value of the assessment parameter class in above-mentioned status assessment index matrix, f1
(dj) indicate assessment parameter scores value djIn the whitened weight function value for operating normally class, f2(dj) indicate assessment parameter scores value dj?
Operate normally the whitened weight function value of class, f3(dj) indicate assessment parameter scores value djOperate normally class whitened weight function value,
In practical applications, the endpoint value of the value range of each whitened weight function in table 4 is all the same, so as to avoid to converter valve
Assessment there is dead zone, it is ensured that converter valve assessment accuracy.
In a preferred embodiment, above-mentioned step S4, according to the default weighted value of each assessment parameter class and each assessment ginseng
The whitened weight function of several classes of score values calculates separately the cluster weight of each default grey class using grey clustering algorithm, specifically,
Cluster weight is calculated using formula (3):
Wherein, δmIndicate cluster weight corresponding to m-th of default grey class, fm(dj) indicate j-th of assessment parameter class the
Whitened weight function corresponding to m default grey classes, ωjIndicate the corresponding default weighted value of j-th of assessment parameter class, n expression is commented
Estimate the number of parameter class.In practical applications, above-mentioned each default weighted value is that converter valve technical staff empirically analyzes
It obtains, the sum of each default weighted value is 1.
In a preferred embodiment, as shown in Fig. 2, above-mentioned step S5, the operation according to each cluster weight to converter valve
State is assessed, and is specifically included:
Step S51: judge in each cluster weight whether include at least two cluster weights for default cluster weight peak value.?
In practical application, in grey clustering analysis, need pre- according to belonging to the maximum cluster weight of numerical value in each cluster weight
If grey class assesses the operating status of converter valve, it should be noted that in embodiments of the present invention with default cluster weight peak value
It is illustrated for being 1, the default cluster weight peak value can also be configured as needed in practical applications, and the present invention is simultaneously
It is not limited.Therefore need to judge whether to deposit two or more feelings preset the corresponding cluster weight of grey class while being 1
Condition.
Step S52: when in each cluster weight not including at least two cluster weights is default cluster weight peak value, determine
The operating status of converter valve is default grey class corresponding to the maximum cluster weight of numerical value in each cluster value.In practical applications,
If corresponding cluster weight at most only one the cluster weight of above-mentioned each default grey class are 1, according to clustering weight number
It is worth maximum default grey class to assess the operating status of converter valve, such as: cluster weight values are maximum corresponding default
Grey class is to operate normally class, then the operating status evaluation status of the converter valve is " normal operation ", and cluster weight values are maximum
Corresponding default grey class is to have failure risk class, then the operating status evaluation status of the converter valve is " having failure risk ".
Step S53: when in each cluster weight including at least two cluster weights is default cluster weight peak value, determine to change
The operating status of stream valve is that cluster weight is the default grey class that operating status is worst in the default grey class of default cluster weight peak value.
In practical applications, when there are two and more than two cluster weights are all default cluster weight peak value, it is contemplated that the change of current
Valve carry out operating status assessment purpose be predict converter valve potential risk, be converter valve maintenance etc. provide data according to
According to, therefore when there is above situation, the assessment result of converter valve is evaluated as the worst default grey class of operating status, such as:
Operating normally class cluster weight corresponding with there is failure risk class is all 1, then the operating status assessment result of the converter valve is to have
Failure risk.
In a preferred embodiment, as shown in figure 3, after executing step S3, before executing step S4, above-mentioned base
In the converter valve state online evaluation method of grey cluster further include:
Step S6: whether the functional value that judgement is unable to operate normally whitened weight function corresponding to class is default albefaction power letter
Number peak value.In practical applications, when the functional value for being unable to operate normally whitened weight function corresponding to class is what it may be obtained
When maximum value, then illustrate that the converter valve has been unable to run, it is therefore desirable to which judgement is unable to operate normally the power of albefaction corresponding to class
Whether the functional value of function is default whitened weight function peak value.If being unable to operate normally the function of whitened weight function corresponding to class
When value is not default whitened weight function peak value, then above-mentioned step S4 is executed.It should be noted that in embodiments of the present invention with
Default whitened weight function peak value is illustrated for being 1, and the default whitened weight function peak value can also basis in practical applications
It needs to be configured, the present invention is not limited thereto.
Step S7: when functional value is default whitened weight function peak value, then determine converter valve operating status be can not be just
Often operation class.In practical applications, when the functional value for being unable to operate normally whitened weight function corresponding to class is that it may be obtained
Maximum value when, then illustrate that the converter valve has been unable to run, therefore can directly be evaluated as to the operating status of converter valve can not
It operates normally, without executing above-mentioned step S4.
In a preferred embodiment, as shown in figure 4, the above-mentioned converter valve state online evaluation method based on grey cluster
Further include:
Step S8: whether the assessment result for judging the operating status of converter valve is to be unable to operate normally class, when converter valve
The assessment result of operating status is not return step S1 when being unable to operate normally class.In practical applications, when above-mentioned converter valve
The assessment result of operating state be not then to illustrate the converter valve also in operation when being unable to operate normally class, it is therefore desirable to
The monitoring for continue to the converter valve preset period of time, to realize the purpose of real-time monitoring converter valve operating status, and such as
The assessment result of fruit converter valve is to be unable to operate normally, then explanation needs repairing personnel to converter valve progress service work, is being examined
Before repairing completion, the monitoring for carrying out operating status to converter valve again has not been needed.
In a preferred embodiment, as shown in figure 4, the above-mentioned converter valve state online evaluation method based on grey cluster
Further include:
Step S9 filters the abnormal data in online monitoring data according to default screening conditions, generates effective monitoring data.
In practical applications, it after the online monitoring data for obtaining converter valve, needs to be filtered data, to eliminate contamination data,
Reduce influence of the abnormal data to final assessment result, usually can using time domain value-taking mean value process come to online monitoring data into
Row filtering, so that final assessment result is more accurate.
S1 to step S9 through the above steps, the converter valve state provided in an embodiment of the present invention based on grey cluster are online
Appraisal procedure realizes the real-time assessment to converter valve operating status without human intervention, improves assessment result accuracy, and
It realizes and potential risk prediction is carried out to converter valve, good data basis is provided for the scheduled overhaul of converter valve, in addition, simple
The evaluation process when converter valve abnormal running of part is changed, has avoided the appearance in assessment dead zone, it is ensured that converter valve assessment
Accuracy.The current operating conditions and variation tendency of effective reaction converter valve, are the accurate judgement change of current of converter station operation maintenance personnel
State, the potential stoppage in transit risk of prediction of valve provide foundation, to realize that converter station is transformed into " state inspection from traditional " scheduled overhaul "
Repair " technical foundation is provided.
Embodiment 2
Originally it applies example and a kind of converter valve state online evaluation device based on grey cluster is provided, as shown in figure 5, should be based on ash
Color cluster converter valve state online evaluation device include:
Online monitoring data obtains module 1, for obtaining the online monitoring data of converter valve in preset period of time.In detail
Content referring to step S1 in embodiment 1 associated description.
Score value computing module 2, for establishing the status assessment index matrix of converter valve, and root according to online monitoring data
The score value that parameter class is respectively assessed in status assessment index matrix is calculated according to online monitoring data.Detailed content is referring to embodiment 1
The associated description of middle step S2.
Whitened weight function constructs module 3, is constructed corresponding to each default grey class respectively for presetting grey classes according at least three
Whitened weight function.Detailed content referring to step S3 in embodiment 1 associated description.
Weight computing module 4 is clustered, for according to the default weighted value of each assessment parameter class and commenting for each assessment parameter class
The whitened weight function of score value calculates separately each cluster weight of at least three default grey classes using grey clustering algorithm.In in detail
Hold the associated description referring to step S4 in embodiment 1.
Operating status evaluation module 5, for being assessed according to each cluster weight the operating status of converter valve.In in detail
Hold the associated description referring to step S5 in embodiment 1.
Converter valve state online evaluation device provided in an embodiment of the present invention based on grey cluster, it is real without human intervention
The real-time assessment to converter valve operating status is showed, has improved assessment result accuracy, and has realized potential to converter valve progress
Risk profile provides good data basis for the scheduled overhaul of converter valve.
Embodiment 3
The embodiment of the present invention provides a kind of non-transient computer storage medium, which is stored with computer
The converter valve shape based on grey cluster in above-mentioned any embodiment 1 can be performed in executable instruction, the computer executable instructions
State online evaluation method, wherein above-mentioned storage medium can be magnetic disk, CD, read-only memory (Read-Only
Memory, ROM), random access memory (Random Access Memory, RAM), flash memory (Flash
Memory), hard disk (Hard Disk Drive, abbreviation: HDD) or solid state hard disk (Solid-State Drive, SSD) etc.；It should
Storage medium can also include the combination of the memory of mentioned kind.
It is that can lead to it will be understood by those skilled in the art that realizing all or part of the process in above-described embodiment method
Computer program is crossed to instruct relevant hardware come what is completed, program can be stored in a computer-readable storage medium, should
Program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, storage medium can for magnetic disk, CD, only
Read storage memory (ROM) or random access memory (RAM) etc..
Embodiment 4
The embodiment of the present invention provides a kind of computer equipment, and structural schematic diagram is as shown in fig. 6, the computer equipment packet
It includes: one or more processors 410 and memory 420, in Fig. 6 by taking a processor 410 as an example.
Above-mentioned computer equipment can also include: input unit 430 and output device 440.
Processor 410, memory 420, input unit 430 and output device 440 can pass through bus or other modes
It connects, in Fig. 6 for being connected by bus.
Processor 410 can be central processing unit (Central Processing Unit, CPU).Processor 410 may be used also
Think other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
The combination of the chips such as discrete hardware components or above-mentioned all kinds of chips.General processor can be microprocessor or the processing
Device is also possible to any conventional processor etc..
Memory 420 is used as a kind of non-transient computer readable storage medium, can be used for storing non-transient software program, non-
Transient computer executable program and module, as the converter valve state based on grey cluster in the embodiment of the present application is commented online
Estimate the corresponding program instruction/module of method, non-transient software program that processor 410 is stored in memory 420 by operation,
Instruction and module realize above method embodiment thereby executing the various function application and data processing of server
Converter valve state online evaluation method based on grey cluster.
Memory 420 may include storing program area and storage data area, wherein storing program area can store operation system
Application program required for system, at least one function；Storage data area can be stored according to the converter valve state based on grey cluster
The processing unit of online evaluation method uses created data etc..In addition, memory 420 may include high random access
Memory, can also include non-transient memory, a for example, at least disk memory, flush memory device or other are non-transient
Solid-state memory.In some embodiments, it includes the memory remotely located relative to processor 410 that memory 420 is optional,
These remote memories can pass through network connection to the converter valve state online evaluation device based on grey cluster.Above-mentioned network
Example include but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Input unit 430 can receive the number or character information of input, and generate and the converter valve based on grey cluster
The related key signals input of the related user setting of processing unit and function control of state online evaluation operation.Output device
440 may include that display screen etc. shows equipment.
One or more module is stored in memory 420, when being executed by one or more processor 410, is held
Row method as Figure 1-Figure 4.
Method provided by the embodiment of the present invention can be performed in the said goods, has the corresponding functional module of execution method and has
Beneficial effect.The not technical detail of detailed description in embodiments of the present invention, for details, reference can be made in embodiment as Figure 1-Figure 4
Associated description.
Obviously, the above embodiments are merely examples for clarifying the description, and does not limit the embodiments.It is right
For those of ordinary skill in the art, can also make on the basis of the above description it is other it is various forms of variation or
It changes.There is no necessity and possibility to exhaust all the enbodiments.And it is extended from this it is obvious variation or
It changes still within the protection scope of the invention.
Claims (14)
1. a kind of converter valve state online evaluation method based on grey cluster characterized by comprising
Obtain the online monitoring data of converter valve in preset period of time；
The status assessment index matrix of the converter valve is established according to the online monitoring data, and according to the on-line monitoring number
According to the score value for respectively assessing parameter class in the calculating status assessment index matrix；
Grey classes, which are preset, according at least three constructs whitened weight function corresponding to each default grey class respectively；
According to the default weighted value of each assessment parameter class and the whitened weight function of the score value of each assessment parameter class, adopt
The cluster weight of each default grey class is calculated separately with grey clustering algorithm；
The operating status of the converter valve is assessed according to each cluster weight.
2. the converter valve state online evaluation method according to claim 1 based on grey cluster, which is characterized in that described
Status assessment index matrix are as follows:
D=[d1,d2,d3,d4…dn],
Wherein, D indicates the status assessment index matrix, d1,d2,d3,d4…dnRespectively indicate the status assessment index matrix
In each assessment parameter class.
3. the converter valve state online evaluation method according to claim 2 based on grey cluster, which is characterized in that use
Following formula calculates the cluster weight:
Wherein, δmIndicate the cluster weight corresponding to m-th of default grey class, fm(dj) indicate j-th of assessment parameter class
The whitened weight function corresponding to m-th of default grey class, ωjIndicate the corresponding default weighted value of j-th of assessment parameter class,
N indicates the number of the assessment parameter class.
4. the converter valve state online evaluation method according to claim 1 based on grey cluster, which is characterized in that described
The operating status of the converter valve is assessed according to each cluster weight, comprising:
Judge in each cluster weight whether include at least two cluster weights for default cluster weight peak value；
When in each cluster weight not including at least two cluster weights is default cluster weight peak value, described in judgement
The operating status of converter valve is the default grey class corresponding to the maximum cluster weight of numerical value in each cluster value.
5. the converter valve state online evaluation method according to claim 4 based on grey cluster, which is characterized in that also wrap
It includes:
When in each cluster weight including at least two cluster weights is default cluster weight peak value, changed described in judgement
The operating status of stream valve is that the cluster weight is that operating status is worst in the default grey class of default cluster weight peak value
The default grey class.
6. the converter valve state online evaluation method according to claim 1 based on grey cluster, which is characterized in that described
Default ash class includes: to operate normally class, be unable to operate normally class and at least an intermediate state class.
7. the converter valve state online evaluation method according to claim 6 based on grey cluster, which is characterized in that in institute
State according at least three default grey classes construct each default grey class respectively corresponding to after whitened weight function, described according to
The whitened weight function of the default weighted value of each assessment parameter class and the score value of each assessment parameter class, is calculated using grey cluster
Before method calculates separately each cluster weight of described at least three default grey classes, the converter valve state based on grey cluster exists
Line appraisal procedure further include:
Whether the functional value that whitened weight function corresponding to class is unable to operate normally described in judgement is default whitened weight function peak value；
When the functional value is not default whitened weight function peak value, the default power according to each assessment parameter class is executed
The whitened weight function of the score value of weight values and each assessment parameter class, calculates separately described at least three using grey clustering algorithm
The step of each cluster weight of a default grey class.
8. the converter valve state online evaluation method according to claim 7 based on grey cluster, which is characterized in that also wrap
It includes:
When the functional value is default whitened weight function peak value, then determine that the operating status of the converter valve can not be just for described in
Often operation class.
9. the converter valve state online evaluation method according to claim 6 based on grey cluster, which is characterized in that also wrap
It includes:
When the assessment result of the operating status of the converter valve is not to be unable to operate normally class, the acquisition preset time is executed
In period the step of the online monitoring data of converter valve.
10. the converter valve state online evaluation method according to claim 1 based on grey cluster, which is characterized in that each
The endpoint value of the value range of the whitened weight function is identical.
11. the converter valve state online evaluation method according to claim 1 based on grey cluster, which is characterized in that
In the acquisition preset period of time after the online monitoring data of converter valve, according to online monitoring data foundation
Before the status assessment index matrix of converter valve, the converter valve state online evaluation method based on grey cluster further include:
The abnormal data in the online monitoring data is filtered according to default screening conditions, generates effective monitoring data.
12. a kind of converter valve state online evaluation device based on grey cluster characterized by comprising
Online monitoring data obtains module (1), for obtaining the online monitoring data of converter valve in preset period of time；
Score value computing module (2), for establishing the status assessment index square of the converter valve according to the online monitoring data
Battle array, and the score value that parameter class is respectively assessed in the status assessment index matrix is calculated according to the online monitoring data；
Whitened weight function constructs module (3), is constructed corresponding to each default grey class respectively for presetting grey classes according at least three
Whitened weight function；
It clusters weight computing module (4), for according to each default weighted value for assessing parameter class and each assessment parameter
The whitened weight function of the score value of class is weighed using each cluster that grey clustering algorithm calculates separately described at least three default grey classes
Value；
Operating status evaluation module (5), for being assessed according to each cluster weight the operating status of the converter valve.
13. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, is realized when the computer instruction is executed by processor as claim 1-11 is described in any item based on ash
The converter valve state online evaluation method of color cluster.
14. a kind of computer equipment characterized by comprising at least one processor (410)；And with it is described at least one
Processor (410) communication connection memory (420) wherein,
The memory (420) is stored with the instruction that can be executed by least one described processor (410), and described instruction is described
At least one processor (410) executes, so that at least one described processor (410) is executed such as any one of claim 1-11 institute
The converter valve state online evaluation method based on grey cluster stated.
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