CN106952029A - A kind of method and system for being evaluated substation equipment condition monitoring device - Google Patents
A kind of method and system for being evaluated substation equipment condition monitoring device Download PDFInfo
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Abstract
The invention discloses a kind of method for being evaluated substation equipment condition monitoring device, methods described includes：Evaluation index is determined according to the architecture of substation equipment condition monitoring device；Obtain the corresponding Monitoring Data of the evaluation index；The weighted value of the evaluation index is calculated according to the corresponding Monitoring Data of the evaluation index；And substation equipment condition monitoring device is evaluated using default evaluation model according to the weighted value of the evaluation index.The beneficial effects of the present invention are：Technical scheme determines evaluation index according to the architecture of substation equipment condition monitoring device, and obtain the corresponding Monitoring Data of evaluation index, the weighted value of Calculation Estimation index, finally substation equipment condition monitoring device is evaluated using default evaluation model, the inaccurate problem of evaluation that the multistage evaluation index for efficiently solving monitoring device using the evaluation model is brought, improves validity and accuracy.
Description
Technical field
It is used for the present invention relates to power fault detection technical field, and more particularly, to one kind to transformer shape
The method and system that state monitoring device is evaluated.
Background technology
With the continuous self-perfection and development of power industry, transformer reliability and security are proposed higher
It is required that.Influence due to transformer in operation through powered, hot, machinery load effect, and natural environment, for a long time
Work can cause aging, fatigue and abrasion, so that performance is gradually reduced, reliability is gradually reduced.
Current transformer on-Line Monitor Device occurs under some Problems and aging or the performance of having installed equipment
Drop, how specification transformer station condition monitoring system assessment indicator system structure and the long-term powered examination of state monitoring apparatus
The problems such as measure, seems extremely urgent.Powered examination assessment technology research direct relation long-term to substation equipment condition monitoring device
The operation steady in a long-term of power equipment can be veritably ensured to transformer monitoring device.Ensure the power equipment of operation of power networks
State monitoring apparatus function is intact, can meet production requirement turn into selection state monitoring apparatus and supervise its quality condition it
One, this is accomplished by corresponding detection experiment and checked on for state monitoring apparatus performance quality itself.
Therefore, the research that long-term powered examination technology is carried out to substation equipment condition monitoring device is very important.
The examination of transformer on-Line Monitor Device has only been rested on inspection specification and test stone at present, and simply short-term examined
Core, is not long-term powered examination, along with inspection specification and a standard not referred to as rounded system, therefore set up
One substation equipment condition monitoring device evaluation and assessing system is extremely significant.
The content of the invention
The invention provides a kind of method and system for being evaluated substation equipment condition monitoring device, to solve
To substation equipment condition monitoring device the problem of evaluation.
In order to solve the above problems, according to an aspect of the invention, there is provided a kind of be used to supervise transformer state
The method that device is evaluated is surveyed, methods described includes：
Evaluation index is determined according to the architecture of substation equipment condition monitoring device；
Obtain the corresponding Monitoring Data of the evaluation index；
The weighted value of the evaluation index is calculated according to the corresponding Monitoring Data of the evaluation index；And
Substation equipment condition monitoring device is carried out using default evaluation model according to the weighted value of the evaluation index
Evaluate.
It is used for what substation equipment condition monitoring device was evaluated there is provided a kind of according to another aspect of the present invention
System, the system includes：
Evaluation index determining unit, evaluation index is determined according to the architecture of substation equipment condition monitoring device；
Monitoring Data acquiring unit, obtains the corresponding Monitoring Data of the evaluation index；
Weighted value computing unit, the weight of the evaluation index is calculated according to the corresponding Monitoring Data of the evaluation index
Value；And
Evaluation unit, according to the weighted value of the evaluation index using default evaluation model to substation equipment condition monitoring
Device is evaluated.
The beneficial effects of the present invention are：
Technical scheme determines evaluation index according to the architecture of substation equipment condition monitoring device, and obtains
The corresponding Monitoring Data of evaluation index, the weighted value of Calculation Estimation index, finally according to default evaluation model to transformer
State monitoring apparatus is evaluated, what the multistage evaluation index for efficiently solving monitoring device using the evaluation model was brought
Inaccurate problem is evaluated, validity and accuracy is improved.
Brief description of the drawings
By reference to the following drawings, the illustrative embodiments of the present invention can be more fully understood by：
Fig. 1 is the method 100 for being evaluated substation equipment condition monitoring device according to embodiment of the present invention
Flow chart；
Fig. 2 is the schematic diagram of the architecture 200 of transformer station's state monitoring apparatus according to embodiment of the present invention；
Fig. 3 is the substation equipment condition monitoring device assessment indicator system A set up according to embodiment of the present invention signal
Figure；
Fig. 4 is that substation equipment condition monitoring device is carried out according to default evaluation model according to embodiment of the present invention
The flow chart of the method 400 of evaluation；And
Fig. 5 is the system 500 for being evaluated substation equipment condition monitoring device according to embodiment of the present invention
Structural representation.
Embodiment
The illustrative embodiments of the present invention are introduced with reference now to accompanying drawing, however, the present invention can use many different shapes
Formula is implemented, and it is to disclose at large and fully there is provided these embodiments to be not limited to embodiment described herein
The present invention, and fully pass on the scope of the present invention to person of ordinary skill in the field.For showing for being illustrated in the accompanying drawings
Term in example property embodiment is not limitation of the invention.In the accompanying drawings, identical cells/elements are attached using identical
Icon is remembered.
Unless otherwise indicated, term (including scientific and technical terminology) used herein has to person of ordinary skill in the field
It is common to understand implication.Further it will be understood that the term limited with usually used dictionary, is appreciated that and it
The linguistic context of association area has consistent implication, and is not construed as Utopian or excessively formal meaning.
Fig. 1 is the method 100 for being evaluated substation equipment condition monitoring device according to embodiment of the present invention
Flow chart.As shown in figure 1, the method 100 of the evaluation is used to evaluate substation equipment condition monitoring device.The present invention
Evaluation index is determined according to the architecture of substation equipment condition monitoring device, the weighted value of Calculation Estimation index, finally according to
Default evaluation model is evaluated substation equipment condition monitoring device using Multilevel Extension principle.It is described to be used to set power transformation
The method 100 that standby state monitoring apparatus is evaluated is since step 101 place, in step 101 according to substation equipment condition monitoring
The architecture of device determines evaluation index.Preferably, wherein the architecture includes：Status information sensing module, state
Information transfer and processing module, status information monitoring and analysis module, system performing module or fault pre-alarming module.Fig. 2 is root
According to the schematic diagram of the architecture 200 of transformer station's state monitoring apparatus of embodiment of the present invention.As shown in Fig. 2 in the present invention
Embodiment in, the architecture 200 of transformer station's state monitoring apparatus includes：Status information sensing module 201, state
Information transfer and processing module 202, status information monitoring and analysis module 203, system performing module 204 or fault pre-alarming module
205。
Preferably, wherein the evaluation index includes：Information collecting capacity, information processing and transmittability, system detectio
With executive capability, resource conservation in sharing capability, complex art ability, intelligent and reliability level or safety and protection energy
Power.Preferably, wherein described information acquisition capacity, including：Information gathering speed, information gathering amount or information gathering precision；Institute
Information processing and transmittability are stated, including：Communication complexity, message transmission capability or information antijamming capability；The system prison
Survey and executive capability, including：Information monitoring ability, alert capability perform range and speed；The resource conservation and shared energy
Power, including：Data extraction capability, data retention or Information Security；The complex art ability, including：Mechanical performance,
Electromagnetic Compatibility or adaptive capacity to environment；The intelligent and reliability level, including：Personnel Dependence, system expandable
Property or system reliability；And the safety and protective capability, including：Insulating properties, shell protection performance or electromagnetic radiation energy
Power.Or or insulating properties, shell protection performance or electromagnetic radiation energy in embodiments of the present invention, for the ease of analysis, root
Substation equipment condition monitoring device assessment indicator system A is established according to the evaluation index.Fig. 3 is according to embodiment of the present invention
The substation equipment condition monitoring device assessment indicator system A of foundation schematic diagram.As shown in figure 3, in embodiments of the present invention
In, substation equipment condition monitoring device assessment indicator system A is set up using analytic hierarchy process (AHP), substation equipment condition monitoring
Device Evaluation on Total Performance is destination layer, and rule layer, which includes information collecting capacity A1, information processing and transmittability A2, system, supervises
Survey and executive capability A3, resource conservation and sharing capability A4, complex art ability A5, intelligent and reliability level A6 and safety
With protective capability A7 totally 7 indexs.Wherein, information collecting capacity A1 includes：Picking rate A11, information gathering amount A12 and information
Acquisition precision A13；Information processing includes with transmittability A2：Communication complexity A21, message transmission capability A22 and information are anti-dry
Disturb ability A23；System monitoring includes information monitoring ability A31, alert capability A32 with executive capability A3 and performs range and speed
A33；Resource conservation includes with sharing capability A4：Data extraction capability A41, data retention A42 and Information Security A43；
Complex art ability A5 includes：Mechanical performance A51, Electromagnetic Compatibility A52 and adaptive capacity to environment A53；It is intelligent and reliable
The horizontal A6 of property includes：Personnel Dependence A61, system expandability A62 and system reliability A63；And safety and protective capability
A7 includes：Insulating properties A71, shell protection performance A72 and electromagnetic radiation ability A73.
Preferably, the corresponding Monitoring Data of the evaluation index is obtained in step 102.Information collecting capacity includes sensor
Picking rate, acquisition precision and information gathering amount these three indexs, can be produced in specification and consulted by sensor, wherein,
Picking rate sensor used in transformer on-Line Monitor Device determined, i.e. the data volume of sensor collection per second.
Acquisition precision refers to departure degree of the result relative to measured true value of measurement.The information of information gathering amount, i.e. sensor collection
Species, such as temperature, ultrasonic signal and vibration signal.
Information processing includes information transfer rate, information transfer complexity and informatics antijamming capability with transmittability
Three indexs.Wherein, the complexity of communication complexity, the i.e. information transfer of transformer on-Line Monitor Device, complexity takes
Be worth for 0~1, be worth it is higher represent it is more uncomplicated.Message transmission capability is typically determined that data transfer is fast by message transmission rate
Rate, refers to one of important technology index of description data transmission system, is numerically equal to transmission each second and constitutes data code
Bit number.Information antijamming capability typically detects its signal to noise ratio, refers to the ratio of signal and noise in a signal processing system, this
Signal to noise ratio refers to the signal to noise ratio of software and the anti-acoustic capability of the effect after hardware noise reduction in invention.Signal to noise ratio (SNR) computing formula is：
Wherein, f (n) is original input signal, and S (n) is the signal of output, and N is signal data length.
System monitoring and executive capability, including：Information monitoring ability, alert capability and execution range and speed.Wherein, believe
Breath monitoring capability is the examination of the monitoring capability for monitoring main frame, carries out powered experiment, according to《Transformer is monitored on-line
Device inspection specification》Examination object should be carried out being powered one day, and real-time recorded data, it is desirable to its Data Detection in one day
Stablize errorless, and each performance of system has no damage.Alert capability is typically described by device rate of false alarm, wherein reporting by mistake
Number of times and total alarm times ratio are device rate of false alarm.It is usually that the reaction speed of device is examined that range, which is performed, with speed
Core, by checking that host CPU reaction speed is checked.
Resource conservation and sharing capability, including：Data extraction capability, data retention and Information Security.Wherein, number
The time required to extraction rate, i.e. data call.Data preserve the amount of capacity of capacity, i.e. database.Data sharing rate, by special
Family is estimated, and span is 0~1, and the more big then shared rate of value is higher.
Complex art ability, including：Mechanical performance, Electromagnetic Compatibility and adaptive capacity to environment.Wherein, mechanical performance
Examination to device, it is necessary to carry out vibration test test.In embodiments of the present invention, mainly it is to determine that transformer is examined online
Survey the ability that device is subjected to regulation severity sinusoidal vibration；The mechanical weak link or characteristic reduction situation of test specimen are determined, including
Vibratory response is tested and vibration long duration test.The system that vibration test is carried out during experiment, the ES-10-240 of the eastern Trapaceae skill of selection
Electric vibration experiment.Device should be able to bear the vibration test that group in GB/T 6587 is III.According to the instrument of GB/T 6587
Device vibration test is tested, as shown in table 1.Experiment should meet following two requirements：One is to being devices under carrying out tentatively
Check, structure should be without damage, and electric component after two are off-test, should carry out performance test without the phenomenon such as come off to instrument, and
Meet the requirement of product standard.For Electromagnetic Compatibility, needed for the examination of substation equipment condition monitoring device Electro Magnetic Compatibility
Following project is carried out, is carried out in strict accordance with transformer on-Line Monitor Device inspection specification, pilot project is：Static discharge
Immunity experiment, the conduction interference immunity experiment of radiofrequency field sensing, electrical fast transient (eft) immunity experiment, surge impact
Immunity experiment, radio frequency electromagnetic field radiation immunity experiment, power frequency magnetic field noise immunity experiment, pulse magnetic field immunity experiment, resistance
Buddhist nun's oscillating magnetic field immunity experiment and voltage dip and short interruptions immunity experiment.
The experiment packet of the instrument vibration of table 1
Intelligent and reliability level, including：Personnel Dependence, the system expandability and system reliability, mainly have specially
Family's scoring is examined.
Safety and protective capability, including：Insulating properties, shell protection performance or electromagnetic radiation ability, contain various insulation
The insulating properties parameter that is obtained in performance test describes the quality of insulating properties, so as to describe the safety and protection energy of device
Power.Wherein, insulating properties, the insulaion resistance of main measurement apparatus, insulaion resistance is typically detected by Insulation Resistance Tester.
In normal atmospheric conditions it, between each independent circuits of monitoring device and exposed conductive part, and between each independent circuits,
The requirement of insulaion resistance is as shown in table 2.
The requirement of the insulaion resistance of table 2
Shell protection performance needs to carry out dust-proof and waterproof test, it is ensured that device it is moist with seriously polluted environment just
Normal operation.Test event has dust-proof test and waterproof test.For dust-proof test, by being applied in sand dust test chamber to test product
Plus meet the dust atmosphere that harsh grade specified in GB4208 is IP5X grades, test product is investigated to preventing that solid foreign materials entrance from preventing
Protect grade.It is positioned in sand and dust case, inspection interiors of products free from dust of uncapping enters, a little does not influence the properties of product also to sentence if having
The requirement of constant load standard.Dust-proof test in sealing protection performance test, from SC-026 sand dust test chambers.For waterproof test
It is mainly used in checking device shell, seal after water test, whether can guarantee that the equipment and component are good during testing
Service behaviour and state of the art, be product technology while product may be influenceed in transportation or use by inundation
Standard, which is provided, quotes foundation.The rain test carried out based on natural conditions is applicable, without the rainfall of high wind speed,
A large amount of water inlets that the high temperature and rainwater temperature-difference of test specimen are introduced are not considered.Shell protection ability must meet shell protection grade
IP55 grades, IP55 class requirements are：It is dust-proof to meet IP5X requirements, it is impossible to entirely prevent dust to enter, but inlet can not reach
Degree is obtained to equipment normal work is hindered；Waterproof meets IPX5 requirements, and any direction is sprayed water without adverse effect.Electromagnetic radiation energy
Power, usually device are carried out judging the evidence that must fetch to human body and to the extent of damage of peripheral devices by associated specialist.
In embodiments of the present invention, evaluation index is divided into quantitative assessing index and qualitative evaluation index, and to institute
State quantitative assessing index and carry out unitized processing, the quantitative target data of different dimensions are converted into unified dimensionless quantifies to determine
Figureofmerit data.Preferably, wherein described carry out unitized processing to the quantitative assessing index, by the quantitative finger of different dimensions
Mark data, which are converted into unified dimensionless quantization quantitative target data, to be included：
The quantitative target data of different dimensions are converted into unified dimensionless with good and bad degree computing formula to quantify quantitatively to refer to
Data are marked, computing formula is：
Wherein, HiFor the good and bad degree of i-th of quantitative assessing index, XnN-th for i-th of quantitative assessing index is quantitative
Evaluation index data, XbestFor the maximum in the quantitative assessing index data of i-th of quantitative assessing index, XworstFor i-th
Minimum value in the quantitative assessing index data of quantitative assessing index.Good and bad number of degrees value is between [0,1], good and bad degree HiValue
Bigger, i.e., closer to 1, then the performance for representing device is better；Conversely, good and bad angle value HiMore level off to 0, then represent the performance of device
It is poorer.When there is multiple indexs in three-level index, the average of multiple indexs is taken as the good and bad degree of three-level index.In this hair
In bright embodiment, each evaluation index is converted into mathematicization model, substation equipment condition monitoring device performance is catalogue
Layer is marked, A1, A2, A3, A4, A5, A6 and A7 are two-level index, AijFor three-level index, wherein i=1,2 ... 7, j=1,2,3.Due to
In evaluation procedure, the examination parameter of each performance indications is excessive, and index is divided into qualitative index and quantitative target two types,
Wherein A11, A12, A13, A22, A23, A32 and A42 are quantitative target, and remaining is qualitative index.Qualitative index is main by expert
Marking form is carried out according to the examination test result of index to be evaluated.
Preferably, the power for determining evaluation index is calculated according to the corresponding Monitoring Data of the evaluation index in step 103
Weight values.Preferably, wherein the quantitative assessing index and the weighted value of qualitative evaluation index of calculating includes：Evaluated according to each
Hierarchical relationship between index sets up hierarchical structure；The judgment matrix of the evaluation index element under same level is built, wherein,
When building the judgment matrix of evaluation index element under same level, according to the evaluate collection X (x of evaluation objecti∈ X, i=1,2,
3 ...), the relative Link Importance under same level between different evaluation index describes xijTake the obtaining value method of following table, i.e. nine scales
Method, as shown in table 3, so that the corresponding judgment matrix A of index of correlation collection is obtained,
Then, the corresponding characteristic vector of Maximum characteristic root is solved to the judgment matrix and is normalized, is obtained
The weights omega of each evaluation index；Finally, coincident indicator C.I. (Comsistency Index) and Consistency Ratio C.R is calculated
(Comsistency Rate), examines the uniformity of the judgment matrix.The computing formula of coincident indicator and Consistency Ratio
Respectively：
Wherein, λ max are Maximum characteristic root, and n is matrix exponent number, and R.I. is Aver-age Random Consistency Index, and numerical value can be looked into
Table is obtained.Consistency Ratio is less than 0.1, then illustrates that Consistency Check in Judgement Matrix is qualified, conversely, disqualified upon inspection, builds again
Vertical judgment matrix.
The Method of nine marks of table 3
Preferably, default evaluation model is utilized to transformer according to the weighted value of the evaluation index in step 104
State monitoring apparatus is evaluated.Evaluation model is input to according to the corresponding Monitoring Data of each evaluation index of acquisition, to power transformation
Equipment condition monitoring device is evaluated.In embodiments of the present invention, by the objective filtering qualitative index processing method of emotion,
Improved AHP method and Multilevel Extension method, which are combined, constitutes substation equipment condition monitoring device evaluation model, effectively solves
The evaluation problem that the multi -index for monitoring device of having determined is brought.Improved in Multilevel Extension on traditional extenics method,
Index weights are combined with the degree of association, the degree of association of every layer of index and last layer index is obtained, is subordinate to original finally according to maximum
Then it is determined final evaluation object.
Fig. 4 is that substation equipment condition monitoring device is carried out according to default evaluation model according to embodiment of the present invention
The flow chart of the method 400 of evaluation.As shown in figure 4, methods described 400 is since step 401 place, in step 401 according to evaluation
Index determines to evaluate matter-element.Assuming that the object being evaluated has n performance assessment criteria, as C1,C2,C3,…,Cn, can according to matter-element
The definition opened up, set be evaluated the matter-element model of object as：
Wherein, U represents to be evaluated the opinion rating belonging to object, vkThe span allowed by index.
Preferably, Classical field and section domain are determined in step 402.All indexs of object to be evaluated have all divided j grade
(j=1,2,3 ..., m), are set according to the evaluation matter-element model of combination of qualitative and quantitative analysis：
Wherein, RjRepresent the matter-element model under correspondence opinion rating, UjThe evaluation effect under corresponding opinion rating is represented,
Vk=<ajk,bjk>Represent the span of k-th of index in j-th stage.
Domain is saved, is defined as in the case where evaluating matter-element model, the span of each index quality degree, computing formula is：
Wherein, RpRepresent section domain to be evaluated, UpFor all opinion ratings, vpkIndex value under correspondence matter-element model.
Preferably, Association function, and calculating correlation are set up according to multilevel extension assessment modular concept in step 403.
The degree of association of Calculation Estimation object and matter-element, it is to avoid the judgement contact of subjective emotion, calculation of relationship degree formula is：
Wherein, ρ represents vkIn vpkThe degree of approach, if ρ be more than or equal to zero, vkNot in vpkIn interval；If ρ is less than or equal to
Zero, then vkIn vpkIn interval, worth size represents that degree of closeness is different.
Evaluate k-th of index C of matter-elementkCalculation of relationship degree formula on jth grade is：
Preferably, multilevel extension assessment is carried out according to the degree of association and weighted value in step 404, obtains opinion rating knot
Really.Obtained weight is calculated using the method for foregoing calculating weight, Synthesis Relational Grade K is calculatedi(U)：
That is two-level index and object to be evaluated (general objective) and the degree of association of j-th opinion rating.Order
It can show that two-level index is j grades with the overall merit grade of object to be evaluated according to maximum subjection principle.
Preferably, analyzed in the step 405 pair opinion rating result.In embodiments of the present invention, in order to
An evaluation is carried out to substation equipment condition monitoring device performance, substation equipment condition monitoring device performance evaluation is divided into 1~4
Level, corresponds to U respectively1、U2、U3And U4, this four grades represent the quality of substation equipment condition monitoring device performance respectively.Specifically
Performance rate analysis result is as shown in table 4.
The grading performance of table 4
| Device performance grade | Device performance states |
| 1 grade | Device performance is excellent, superior performance |
| 2 grades | Device performance is good, better performances |
| 3 grades | Device performance is poor |
| 4 grades | Device performance is completely unqualified, it is impossible to normal |
Fig. 5 is the system 500 for being evaluated substation equipment condition monitoring device according to embodiment of the present invention
Structural representation.As shown in figure 5, the including for the system 500 evaluated substation equipment condition monitoring device：
Evaluation index determining unit 501, Monitoring Data acquiring unit 502, weighted value computing unit 503 and evaluation unit 504.It is preferred that
Ground, determines evaluation index, wherein institute in evaluation index determining unit 501 according to the architecture of substation equipment condition monitoring device
Stating evaluation index includes：Information collecting capacity, information processing and transmittability, system detectio and executive capability, resource conservation in
Sharing capability, complex art ability, intelligent and reliability level or safety and protective capability.Preferably, wherein the system
Structure includes：Status information sensing module, status information transmission and processing module, status information monitoring and analysis module, system
Performing module or fault pre-alarming module.Preferably, wherein the evaluation index includes：Information collecting capacity, including：Information gathering
Speed, information gathering amount or information gathering precision；Information processing and transmittability, including：Communication complexity, message transmission capability
Or information antijamming capability；System monitoring and executive capability, including：Information monitoring ability, alert capability perform range and speed
Degree；Resource conservation and sharing capability, including：Data extraction capability, data retention or Information Security；Complex art energy
Power, including：Mechanical performance, Electromagnetic Compatibility or adaptive capacity to environment；Intelligent and reliability level, including：Personnel Dependence
Property, the system expandability or system reliability；And protection abilities, including：Insulating properties, shell protection performance or electromagnetism
Radianting capacity.
Preferably, the corresponding Monitoring Data of the evaluation index is obtained in data capture unit 502.
Preferably, the system, which also includes unitized processing unit, is used for described according to evaluation index correspondence
Monitoring Data calculate before the weighted value of the evaluation index, evaluation index is divided into quantitative assessing index and qualitative evaluation refers to
Mark, and unitized processing is carried out to the quantitative assessing index, the quantitative target data of different dimensions are converted into unified nothing
Dimension quantifies quantitative target data.Preferably, wherein the unitized processing unit specifically for：With good and bad degree computing formula
The quantitative target data of different dimensions are converted into unified dimensionless and quantify quantitative target data, computing formula is：
Wherein, HiFor the good and bad degree of i-th of quantitative assessing index, XnN-th for i-th of quantitative assessing index is quantitative
Evaluation index data, XbestFor the maximum in the quantitative assessing index data of i-th of quantitative assessing index, XworstFor i-th
Minimum value in the quantitative assessing index data of quantitative assessing index.Good and bad number of degrees value is between [0,1], good and bad degree HiValue
Bigger, i.e., closer to 1, then the performance for representing device is better；Conversely, good and bad angle value HiMore level off to 0, then represent the performance of device
It is poorer.
Preferably, described evaluate is calculated according to the corresponding Monitoring Data of the evaluation index in weighted value computing unit 503
The weighted value of index.Preferably, wherein in the weighted value computing unit 503 according to the corresponding Monitoring Data of the evaluation index
Calculating the weighted value of the evaluation index includes：Hierarchical structure is set up according to the hierarchical relationship between each evaluation index；Build same
The judgment matrix of evaluation index element under one level；And the judgment matrix is solved the corresponding feature of Maximum characteristic root to
Measure and be normalized, obtain the weighted value of each evaluation index.Preferably, wherein the system also includes：Uniformity meter
Unit is calculated, for being calculated according to the corresponding Monitoring Data of the evaluation index after the weighted value of the evaluation index, calculates consistent
Property index and Consistency Ratio, examine the uniformity of the judgment matrix, wherein Consistency Ratio is less than 0.1, then explanation judges
Matrix consistency inspection is qualified, conversely, disqualified upon inspection, re-establishes judgment matrix.
Preferably, default evaluation model is utilized to power transformation according to the weighted value of the evaluation index in evaluation unit 504
Equipment condition monitoring device is evaluated.Preferably, wherein the evaluation unit 504 specifically for：Determined according to evaluation index
Evaluate matter-element；Determine Classical field and section domain；Association function is set up according to multilevel extension assessment modular concept, and calculates association
Degree；And multilevel extension assessment is carried out according to the degree of association and weighted value, obtain opinion rating result.
Preferably, the system also includes：Analytic unit, for utilizing default according to the weighted value of the evaluation index
After evaluation model is evaluated substation equipment condition monitoring device, the opinion rating result is analyzed.
Embodiments of the invention for the system 500 evaluated substation equipment condition monitoring device with the present invention's
Another embodiment it is corresponding for the method method 100 evaluated substation equipment condition monitoring device, herein no longer
Repeat.
The present invention is described by reference to a small amount of embodiment.However, it is known in those skilled in the art, as
What subsidiary Patent right requirement was limited, except the present invention other embodiments disclosed above equally fall the present invention's
In the range of.
Normally, all terms used in the claims are all solved according to them in the usual implication of technical field
Release, unless clearly defined in addition wherein.All references " one/described/be somebody's turn to do [device, component etc.] " are all opened ground
At least one example in described device, component etc. is construed to, unless otherwise expressly specified.Any method disclosed herein
Step need not all be run with disclosed accurate order, unless explicitly stated otherwise.
Claims (20)
1. a kind of method for being evaluated substation equipment condition monitoring device, it is characterised in that methods described includes：
Evaluation index is determined according to the architecture of substation equipment condition monitoring device；
Obtain the corresponding Monitoring Data of the evaluation index；
The weighted value of the evaluation index is calculated according to the corresponding Monitoring Data of the evaluation index；And
Substation equipment condition monitoring device is evaluated using default evaluation model according to the weighted value of the evaluation index.
2. according to the method described in claim 1, it is characterised in that the architecture includes：Status information sensing module, shape
State information transfer and processing module, status information monitoring and analysis module, system performing module or fault pre-alarming module.
3. according to the method described in claim 1, it is characterised in that the evaluation index includes：At information collecting capacity, information
Reason is with transmittability, system detectio and executive capability, resource conservation in sharing capability, complex art ability, intelligent and reliability
Property level or safety and protective capability.
4. method according to claim 3, it is characterised in that
Described information acquisition capacity, including：Information gathering speed, information gathering amount or information gathering precision；
Described information processing and transmittability, including：Communication complexity, message transmission capability or information antijamming capability；
The system monitoring and executive capability, including：Information monitoring ability, alert capability perform range and speed；
The resource conservation and sharing capability, including：Data extraction capability, data retention or Information Security；
The complex art ability, including：Mechanical performance, Electromagnetic Compatibility or adaptive capacity to environment；
The intelligent and reliability level, including：Personnel Dependence, the system expandability or system reliability；And
The safety and protective capability, including：Insulating properties, shell protection performance or electromagnetic radiation ability.
5. method according to claim 4, it is characterised in that methods described also includes：Referred to described according to the evaluation
Mark before the weighted value that corresponding Monitoring Data calculates the evaluation index, evaluation index is divided into quantitative assessing index and qualitative commented
Valency index, and unitized processing is carried out to the quantitative assessing index, the quantitative target data of different dimensions are converted into unification
Dimensionless quantify quantitative target data.
6. method according to claim 5, it is characterised in that described that unitized place is carried out to the quantitative assessing index
Reason, the quantitative target data of different dimensions are converted into unified dimensionless quantization quantitative target data includes：
The quantitative target data of different dimensions are converted into by unified dimensionless with good and bad degree computing formula and quantify quantitative target number
According to computing formula is：
Wherein, HiFor the good and bad degree of i-th of quantitative assessing index, XnFor n-th of quantitative assessment of i-th of quantitative assessing index
Achievement data, XbestFor the maximum in the quantitative assessing index data of i-th of quantitative assessing index, XworstIt is quantitative for i-th
Minimum value in the quantitative assessing index data of evaluation index.Good and bad number of degrees value is between [0,1], good and bad degree HiValue get over
Greatly, i.e., closer to 1, then the performance for representing device is better；Conversely, good and bad angle value HiMore level off to 0, then the performance for representing device is got over
Difference.
7. according to the method described in claim 1, it is characterised in that described according to the corresponding Monitoring Data meter of the evaluation index
Calculating the weighted value of the evaluation index includes：
Hierarchical structure is set up according to the hierarchical relationship between each evaluation index；
Build the judgment matrix of the evaluation index element under same level；And
The corresponding characteristic vector of Maximum characteristic root is solved to the judgment matrix and is normalized, each evaluation index is obtained
Weighted value.
8. method according to claim 7, it is characterised in that described according to the corresponding Monitoring Data meter of the evaluation index
Also include after the weighted value for calculating the evaluation index：
Coincident indicator and Consistency Ratio are calculated, the uniformity of the judgment matrix is examined, wherein Consistency Ratio is less than
0.1, then illustrate that Consistency Check in Judgement Matrix is qualified, conversely, disqualified upon inspection, re-establishes judgment matrix.
9. method according to claim 8, it is characterised in that described to utilize default according to the weighted value of the evaluation index
Evaluation model to substation equipment condition monitoring device carry out evaluation include：
Determined to evaluate matter-element according to evaluation index；
Determine Classical field and section domain；
Association function, and calculating correlation are set up according to multilevel extension assessment modular concept；And
Multilevel extension assessment is carried out according to the degree of association and weighted value, opinion rating result is obtained.
10. method according to claim 9, it is characterised in that described to utilize pre- according to the weighted value of the evaluation index
If evaluation model substation equipment condition monitoring device is evaluated after also include：
The opinion rating result is analyzed.
11. a kind of system for being evaluated substation equipment condition monitoring device, it is characterised in that the system includes：
Evaluation index determining unit, for determining evaluation index according to the architecture of substation equipment condition monitoring device；
Monitoring Data acquiring unit, for obtaining the corresponding Monitoring Data of the evaluation index；
Weighted value computing unit, the weight for calculating the evaluation index according to the corresponding Monitoring Data of the evaluation index
Value；And
Evaluation unit, for utilizing default evaluation model to substation equipment condition monitoring according to the weighted value of the evaluation index
Device is evaluated.
12. system according to claim 11, it is characterised in that the architecture includes：Status information sensing module,
Status information is transmitted and processing module, status information monitoring and analysis module, system performing module or fault pre-alarming module.
13. system according to claim 10, it is characterised in that the evaluation index includes：Information collecting capacity, information
Processing and transmittability, system detectio and executive capability, resource conservation in sharing capability, complex art ability, it is intelligent with can
By property level or safety and protective capability.
14. system according to claim 13, it is characterised in that
Described information acquisition capacity, including：Information gathering speed, information gathering amount or information gathering precision；
Described information processing and transmittability, including：Communication complexity, message transmission capability or information antijamming capability；
The system monitoring and executive capability, including：Information monitoring ability, alert capability perform range and speed；
The resource conservation and sharing capability, including：Data extraction capability, data retention or Information Security；
The complex art ability, including：Mechanical performance, Electromagnetic Compatibility or adaptive capacity to environment；
The intelligent and reliability level, including：Personnel Dependence, the system expandability or system reliability；And
The safety and protective capability, including：Insulating properties, shell protection performance or electromagnetic radiation ability.
15. system according to claim 14, it is characterised in that the system also includes：
Unitized processing unit, for according to the corresponding Monitoring Data of the evaluation index calculating the evaluation index described
Before weighted value, evaluation index is divided into quantitative assessing index and qualitative evaluation index, and the quantitative assessing index is united
One change is handled, and the quantitative target data of different dimensions are converted into unified dimensionless quantifies quantitative target data.
16. system according to claim 15, it is characterised in that the unitized processing unit specifically for：With quality
The quantitative target data of different dimensions are converted into unified dimensionless and quantify quantitative target data, computing formula by degree computing formula
For：
Wherein, HiFor the good and bad degree of i-th of quantitative assessing index, XnFor n-th of quantitative assessment of i-th of quantitative assessing index
Achievement data, XbestFor the maximum in the quantitative assessing index data of i-th of quantitative assessing index, XworstIt is quantitative for i-th
Minimum value in the quantitative assessing index data of evaluation index.Good and bad number of degrees value is between [0,1], good and bad degree HiValue get over
Greatly, i.e., closer to 1, then the performance for representing device is better；Conversely, good and bad angle value HiMore level off to 0, then the performance for representing device is got over
Difference.
17. system according to claim 11, it is characterised in that the weighted value computing unit specifically for：According to each
Hierarchical relationship between evaluation index sets up hierarchical structure；
Build the judgment matrix of the evaluation index element under same level；And
The corresponding characteristic vector of Maximum characteristic root is solved to the judgment matrix and is normalized, each evaluation index is obtained
Weighted value.
18. system according to claim 17, it is characterised in that also include：Uniformity computing unit, for according to described
The corresponding Monitoring Data of evaluation index is calculated after the weighted value of the evaluation index, calculates coincident indicator and Consistency Ratio,
The uniformity of the judgment matrix is examined, wherein Consistency Ratio is less than 0.1, then illustrates that Consistency Check in Judgement Matrix is qualified,
Conversely, disqualified upon inspection, re-establishes judgment matrix.
19. system according to claim 11, it is characterised in that the evaluation unit specifically for：According to evaluation index
It is determined that evaluating matter-element；
Determine Classical field and section domain；
Association function, and calculating correlation are set up according to multilevel extension assessment modular concept；And
Multilevel extension assessment is carried out according to the degree of association and weighted value, opinion rating result is obtained.
20. system according to claim 19, it is characterised in that also include：
Analytic unit, for utilizing default evaluation model to substation equipment condition monitoring according to the weighted value of the evaluation index
After device is evaluated, the opinion rating result is analyzed.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107909266A (en) * | 2017-11-14 | 2018-04-13 | 广东电网有限责任公司电力科学研究院 | The running quality evaluation method and device of a kind of on-Line Monitor Device |
| CN107967570A (en) * | 2017-12-18 | 2018-04-27 | 国网天津市电力公司 | The substation's evaluation method and device of data model based on lean administrative evaluation |
| CN109521304A (en) * | 2018-12-07 | 2019-03-26 | 国网河南省电力公司电力科学研究院 | Description and appraisal procedure and the device of resistance characteristics temporarily drop in a kind of node voltage |
| WO2019179457A1 (en) * | 2018-03-22 | 2019-09-26 | 华为技术有限公司 | Method and apparatus for determining state of network device |
| CN110554354A (en) * | 2019-08-30 | 2019-12-10 | 国家电网有限公司 | Equipment maintenance quality monitoring method and system and terminal equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110046091A (en) * | 2009-10-28 | 2011-05-04 | 한국전력공사 | Importance analysis method considering the severity and the opportunity |
| CN103778575A (en) * | 2014-03-04 | 2014-05-07 | 国网浙江宁波市鄞州区供电公司 | Transformer state evaluation method and system |
| CN103871000A (en) * | 2014-03-13 | 2014-06-18 | 石家庄铁道大学 | Probability whole life cycle cost-based power transformer performance comprehensive evaluation method |
| CN106447212A (en) * | 2016-10-11 | 2017-02-22 | 广西电网有限责任公司电力科学研究院 | AHP (Analytic Hierarchy Process) based intelligent electricity meter software quality evaluation method |
-
2017
- 2017-03-15 CN CN201710154001.5A patent/CN106952029A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110046091A (en) * | 2009-10-28 | 2011-05-04 | 한국전력공사 | Importance analysis method considering the severity and the opportunity |
| CN103778575A (en) * | 2014-03-04 | 2014-05-07 | 国网浙江宁波市鄞州区供电公司 | Transformer state evaluation method and system |
| CN103871000A (en) * | 2014-03-13 | 2014-06-18 | 石家庄铁道大学 | Probability whole life cycle cost-based power transformer performance comprehensive evaluation method |
| CN106447212A (en) * | 2016-10-11 | 2017-02-22 | 广西电网有限责任公司电力科学研究院 | AHP (Analytic Hierarchy Process) based intelligent electricity meter software quality evaluation method |
Non-Patent Citations (1)
| Title |
|---|
| 王永强 等: "基于情感客观过滤的变电设备在线监测装置性能评估方法研究", 《电测与仪表》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107909266A (en) * | 2017-11-14 | 2018-04-13 | 广东电网有限责任公司电力科学研究院 | The running quality evaluation method and device of a kind of on-Line Monitor Device |
| CN107967570A (en) * | 2017-12-18 | 2018-04-27 | 国网天津市电力公司 | The substation's evaluation method and device of data model based on lean administrative evaluation |
| WO2019179457A1 (en) * | 2018-03-22 | 2019-09-26 | 华为技术有限公司 | Method and apparatus for determining state of network device |
| CN110300008A (en) * | 2018-03-22 | 2019-10-01 | 北京华为数字技术有限公司 | A kind of method and device of the state of the determining network equipment |
| CN110300008B (en) * | 2018-03-22 | 2021-03-23 | 北京华为数字技术有限公司 | Method and device for determining state of network equipment |
| US11405294B2 (en) | 2018-03-22 | 2022-08-02 | Huawei Technologies Co., Ltd. | Method and apparatus for determining status of network device |
| CN109521304A (en) * | 2018-12-07 | 2019-03-26 | 国网河南省电力公司电力科学研究院 | Description and appraisal procedure and the device of resistance characteristics temporarily drop in a kind of node voltage |
| CN110554354A (en) * | 2019-08-30 | 2019-12-10 | 国家电网有限公司 | Equipment maintenance quality monitoring method and system and terminal equipment |
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