CN109064074A - Lightning arrester state diagnosis method, system and equipment - Google Patents
Lightning arrester state diagnosis method, system and equipment Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000003745 diagnosis Methods 0.000 title claims abstract description 11
- 230000006870 function Effects 0.000 claims description 76
- 238000013178 mathematical model Methods 0.000 claims description 23
- 238000011156 evaluation Methods 0.000 claims description 13
- 230000008901 benefit Effects 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 7
- 230000002776 aggregation Effects 0.000 claims description 5
- 238000004220 aggregation Methods 0.000 claims description 5
- 230000004888 barrier function Effects 0.000 claims 1
- 238000001514 detection method Methods 0.000 abstract description 9
- 238000012423 maintenance Methods 0.000 abstract description 9
- 238000007405 data analysis Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 12
- 238000012360 testing method Methods 0.000 description 10
- XLOMVQKBTHCTTD-UHFFFAOYSA-N Zinc monoxide Chemical compound [Zn]=O XLOMVQKBTHCTTD-UHFFFAOYSA-N 0.000 description 8
- 238000012544 monitoring process Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 238000007689 inspection Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000013139 quantization Methods 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 229960001296 zinc oxide Drugs 0.000 description 4
- 239000011787 zinc oxide Substances 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
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- 238000005303 weighing Methods 0.000 description 3
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- 150000001875 compounds Chemical class 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000009413 insulation Methods 0.000 description 2
- 229910044991 metal oxide Inorganic materials 0.000 description 2
- 150000004706 metal oxides Chemical class 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 230000003449 preventive effect Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000002547 anomalous effect Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
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- 230000000803 paradoxical effect Effects 0.000 description 1
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- 238000000926 separation method Methods 0.000 description 1
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- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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Abstract
The invention provides a method, a system and equipment for diagnosing the state of an arrester, which relate to the technical field of arresters, and the diagnosis method comprises the following steps: and calculating a weight coefficient and a state membership function of the state quantity according to the state quantity of the lightning arrester, calculating a state score according to the weight coefficient and the state membership function, and judging the state grade of the lightning arrester according to the state score. And when the state grade is a fault, calculating a fault membership function of the state quantity for determining the fault type of the lightning arrester, calculating a fault score according to the weight coefficient and the fault membership function, and judging the fault type according to the fault score. The maintenance mode adopts a scientific method to calculate the optimal state quantity weight coefficient, and improves the detection accuracy and efficiency by combining a membership function based on big data analysis.
Description
Technical field
The present invention relates to the technical fields of arrester, more particularly, to a kind of arrester method for diagnosing status, system and set
It is standby.
Background technique
Zinc-Oxide Arrester is a kind of important overvoltage protection, has many advantages, such as non-linear and books circulation capacity,
It is the powerful guarantee of safe operation of power system.
The metal oxide arresters such as zinc oxide will appear the problems such as built-in electrical insulation dampness and valve block aging, shadow at runtime
Electricity safety production is rung, needs periodically to carry out preventive test.Currently, detection mode has artificial periodic detection and on-line monitoring two
Kind.The method of artificial periodic detection has been written into coherent detection regulation, latent between detection cycle but if detection cycle is too long
It is difficult to effectively be found in failure.The detection technique of on-line monitoring mainly detects leakage current.If the leakage electricity of on-line monitoring
There is anomalous variation trend in flow, and testing staff carries out the test items such as live testing, interruption maintenance, live inspection according still further to regulation
Mesh, and the quantity of state of other variation abnormalities is found out, fault type and reason are probed into according to scoring mechanism as defined in industry.But it is this
Maintenance mode is strong compared with fixed and artificial subjectivity in the selection of quantity of state weight, is easy to cause erroneous judgement, and manually determine efficiency
It is low, influence the normal operation of electric system.
Aiming at the problem that Zinc-Oxide Arrester in the prior art detects low artificial determination rate of accuracy, low efficiency, at present not yet
It is proposed effective solution.
Summary of the invention
In view of this, the purpose of the present invention is to provide one kind to keep away arrester method for diagnosing status, system and equipment, with slow
Solution the technical issues of Zinc-Oxide Arrester detects low artificial determination rate of accuracy, low efficiency in the prior art.The present invention put forward into
Row arrester method for diagnosing status, system and equipment, to arrester on-line monitoring, live testing, interruption maintenance, live inspection etc.
Multi-source refers to that quantity of state carries out convergence analysis and determines the optimal power of quantity of state in the case where fully considering solving model optimal solution
Weight, finally judges arrester operating status, and provide corresponding O&M measure to cracking arrester.
In a first aspect, the embodiment of the invention provides a kind of arrester method for diagnosing status, comprising: receive the shape of arrester
State amount, and calculate the weight coefficient and state subordinating degree function of quantity of state；It is calculated according to weight coefficient and state subordinating degree function
Condition grading；The state grade of arrester is judged according to condition grading；When state grade is failure, the failure of quantity of state is calculated
Subordinating degree function；Failure scoring is calculated according to weight coefficient and failure subordinating degree function；Fault type is judged according to failure scoring.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein sentences
After the fault type step of disconnected arrester, further includes: state grade, fault type and corresponding maintaining method are exported and shown
Show.
With reference to first aspect, the embodiment of the invention provides second of possible embodiments of first aspect, wherein meter
Before the step of calculating the weight coefficient and state subordinating degree function of quantity of state, further includes: status data is classified and normalized.
With reference to first aspect, the embodiment of the invention provides the third possible embodiments of first aspect, wherein meter
The step of calculating condition grading, comprising: merger weight coefficient and state subordinating degree function form the first evaluation set；According to evaluation
Set and the first mathematical model calculate condition grading.
With reference to first aspect, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, wherein meter
The step of calculating failure scoring, comprising: merger weight coefficient and failure subordinating degree function form evaluation set；Gathered according to evaluation
Failure scoring is calculated with the second mathematical model.
Second aspect, the embodiment of the present invention also provide a kind of arrester condition diagnosing system, comprising: condition diagnosing system packet
Include weight judging unit, degree of membership judging unit, scoring computing unit and judging unit；Weight judging unit is for calculating state
The weight coefficient of amount；Degree of membership judging unit is used to calculate the state subordinating degree function and failure subordinating degree function of quantity of state；It comments
The condition grading for dividing computing unit to be used to calculate arrester according to weight coefficient, state subordinating degree function and the first mathematical model；
The failure scoring of arrester is calculated according to weight coefficient, failure subordinating degree function and the second mathematical model；Arrester judging unit
For judging the state grade of arrester according to condition grading；The fault type of arrester is judged according to failure scoring.
In conjunction with second aspect, the embodiment of the invention provides the first possible embodiments of second aspect, wherein is
System further includes taxonomic revision unit, and taxonomic revision unit is used to classify and normalize the state quantity data of input.
In conjunction with second aspect, the embodiment of the invention provides the second possible embodiments of second aspect, wherein system
Further include judging aggregation units, judges aggregation units and be used for merger weight coefficient and state subordinating degree function；Merger weight coefficient
With failure subordinating degree function.
In conjunction with second aspect, the embodiment of the invention provides the possible embodiments of the third of second aspect, wherein scoring
Computing unit is also used to be stored in advance the first mathematical model and the second mathematical model.
The third aspect, the embodiment of the present invention also provide a kind of arrester condition diagnosis apparatus, including memory, processor and
The computer program that can be run on a memory and on a processor is stored, processor realizes first party when executing computer program
The method in any one of face.
The embodiment of the present invention bring it is following the utility model has the advantages that
The invention of this reality provides a kind of arrester method for diagnosing status, system and equipment, according to the state meter of arrester
The weight coefficient and state subordinating degree function for calculating quantity of state calculate condition grading according to weight coefficient and state subordinating degree function and sentence
The state grade of disconnected arrester.When state grade is failure, for the fault type for determining arrester, the failure of quantity of state is calculated
Subordinating degree function calculates failure scoring according to weight coefficient and failure subordinating degree function and judges fault type.This diagnostic mode
The method for taking science calculates optimal quantity of state weight coefficient, improves and examines in conjunction with the subordinating degree function based on big data analysis
Disconnected accuracy, only needs that input state amount data can be obtained by the state grade of arrester and fault type improves diagnosis
Efficiency.
Other feature and advantage of the disclosure will illustrate in the following description, alternatively, Partial Feature and advantage can be with
Deduce from specification or unambiguously determine, or by implement the disclosure above-mentioned technology it can be learnt that.
To enable the above objects, features, and advantages of the disclosure to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
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 a kind of flow diagram of arrester method for diagnosing status provided in an embodiment of the present invention；
Fig. 2 is half trapezoid model of liter provided in an embodiment of the present invention；
Fig. 3 is lower semi-trapezoid model provided in an embodiment of the present invention；
Fig. 4 is a kind of functional block diagram of arrester condition diagnosing system provided in an embodiment of the present invention；
Fig. 5 is the functional block diagram of another arrester condition diagnosing system provided in an embodiment of the present invention；
Fig. 6 is the functional block diagram of another arrester condition diagnosing system provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be described, it is clear that described embodiments are some of the embodiments of the present invention, rather than whole implementation
Example.
The artificial determination rate of accuracy of arrester checks is low in currently available technology, low efficiency, is based on this, the embodiment of the present invention mentions
A kind of arrester method for diagnosing status, system and the equipment supplied, can be improved the accuracy rate and effect that arrester checks manually determine
Rate.
For convenient for understanding the present embodiment, first to a kind of arrester condition diagnosing disclosed in the embodiment of the present invention
Method describes in detail.
Embodiment 1
Embodiment of the present invention provides a kind of arrester method for diagnosing status, a kind of arrester state as shown in Figure 1
The flow diagram of diagnostic method, method includes the following steps:
Step S101, receives the quantity of state of arrester, and calculates the weight coefficient and state subordinating degree function of quantity of state.
Staff can determine maintenance procedure according to the service life of arrester, local climate condition and relevant regulations,
Maintenance procedure includes interval between diagnosis, Diagnostic Time etc..The data source of the quantity of state of arrester includes delivery test data, scene
Inspection data, interruption maintenance data, live testing data and online monitoring data.The online monitoring data of arrester can use
The online mode for inputting, wirelessly or non-wirelessly communicating is automatically imported in real time, delivery test data, live inspection data, interruption maintenance
Data and live testing data are periodically inputted by staff according to maintenance procedure.
Receive above-mentioned multiple quantity of states, and the superiority and inferiority situation of the operating status by multiple quantity of states judgement arrester, it should
Different weights is assigned to each quantity of state.The weight of quantity of state reflect quantity of state relative to arrester operating status it is important
Degree.The present embodiment calculates the method for the weight of each quantity of state using subjective weighing computation method and objective weight calculation method phase
In conjunction with weighing computation method.This weighing computation method is that decision is combined on the basis of calculating every quantity of state objective weight
The subjective weight that person provides calculates the comprehensive weight of quantity of state using related formula.The method for calculating objective weight mainly has entropy
Quan Fa, standard deviation method etc..There are many method for calculating objective weight, and the analytic approach that has levels, expert survey etc., its essence is decisions
Person's rule of thumb subjective weight for determining indices.
Therefore, the step of weight of above-mentioned calculating quantity of state may include:
(1) the subjective weight that each quantity of state is calculated using the analytic hierarchy process (AHP) in fuzzy logic analysis by synthesis theory, is used
Entropy assessment calculates the objective weight of each quantity of state, respectively obtains corresponding weighted data.
(2) optimum combination of each quantity of state is calculated using LEAST SQUARES MODELS FITTING according to quantity of state and respective weights data
Weight coefficient.
The unsharp Qualitative Knowledge of the expressive boundary of fuzzy logic and experience, it is handled by means of subordinating degree function concept
Fuzzy relation simulates the type reasoning of human brain code fo practice, solves various uncertain problems.Therefore, lightning-arrest using fuzzy logic analysis
The operating status of device needs to calculate the subordinating degree function of quantity of state.It can be determined instead by the state subordinating degree function of quantity of state
Answer each quantity of state to the degree of membership of the different brackets state of arrester.It is needed as the case may be before determining state subordinating degree function
Arrester operating status is first divided into multiple and different grades.The step of determining the state subordinating degree function of quantity of state, comprising:
(1) arrester operating status is divided into " failure ", " severely subnormal ", "abnormal" and " normal " four by the present embodiment
Operating status grade.
(2) really according to sufficient amount of sample (sample is one group of historic state amount and corresponding historic state grade)
The state subordinating degree function of fixed each quantity of state, obtains the degree of membership relationship of each quantity of state and each evaluation of running status grade.
Step S102 calculates condition grading according to weight coefficient and state subordinating degree function.
The present embodiment uses mathematics method, by the state subordinating degree function of quantity of state and corresponding optimal weights coefficient,
By the compound operation of fuzzy mathematics, the condition grading of arrester is calculated using mathematical model, to the operating status of arrester this
One qualitative amount carries out quantization means, is convenient for multilevel iudge.
Step S103 judges the state grade of arrester according to condition grading.
The size for comparing the scoring of each operating status of arrester is ranked up scoring size.Each fortune is obtained after sequence
The one group of ordered series of numbers of the scoring of row state from big to small or from small to large, the scoring being arranged in the ordered series of numbers in a certain order are corresponding
Operating status is operating status locating for arrester.
Determine operating status locating for arrester.
Step S104 calculates the failure subordinating degree function of quantity of state when state grade is failure.
When the scoring of " failure " operating status of arrester meets condition, then it is assumed that failure occurs in the arrester.For
Further determine that fault type, it is thus necessary to determine that failure subordinating degree function.The step of determining failure subordinating degree function, comprising:
(1) determine that the fault level of arrester, the present embodiment include internal wetted, insulation ag(e)ing, external insulation pollution or old
Change, four fault levels of paradoxical discharge.
(2) really according to sufficient amount of sample (sample is one group of historic state amount and corresponding historical failure grade)
The failure subordinating degree function of fixed each quantity of state, obtains the degree of membership relationship of each quantity of state and each fault level.
Step S105 calculates failure scoring according to weight coefficient and failure subordinating degree function.
The present embodiment uses mathematics method, by the failure subordinating degree function of quantity of state and corresponding optimal weights coefficient,
By the compound operation of fuzzy mathematics, the condition grading of arrester is calculated using mathematical model, to the operating status of arrester this
One qualitative amount carries out quantization means, is convenient for multilevel iudge.
Step S106 judges fault type according to failure scoring.
The size for comparing the scoring of each fault type of arrester is ranked up scoring size.Each event is obtained after sequence
Hinder the one group of ordered series of numbers of the scoring of type from big to small or from small to large, the scoring being arranged in the ordered series of numbers in a certain order is corresponding
Fault type is fault type locating for arrester.
The invention of this reality provides a kind of arrester method for diagnosing status, and the power of quantity of state is calculated according to the quantity of state of arrester
Weight coefficient and state subordinating degree function calculate the shape that condition grading judges arrester according to weight coefficient and state subordinating degree function
State grade.When state grade is failure, for the fault type for determining arrester, the failure subordinating degree function of quantity of state is calculated,
Failure scoring, which is calculated, according to weight coefficient and failure subordinating degree function judges fault type.This diagnostic mode takes the side of science
Method calculates optimal quantity of state weight coefficient, and the accuracy of diagnosis is improved in conjunction with the subordinating degree function based on big data analysis,
Staff only needs that input state amount data can be obtained by the state grade of arrester and fault type improves the effect of diagnosis
Rate.
The present embodiment calculates the step of condition grading, comprising: merger weight coefficient and state subordinating degree function form first
Evaluation set.The corresponding optimal weights coefficient of quantity of state and state subordinating degree function are referred to and are formed together a set just
In the calculating of condition grading.Condition grading is calculated according to the first evaluation set and the first mathematical model.According to a large amount of arrester
The data sample of operating status determines the first mathematical model.By quantity of state, the optimum combination weight coefficient and quantity of state of quantity of state
State subordinating degree function input the first mathematical model, calculate the scoring of each operating status of arrester, the operation to arrester
This qualitative amount of state carries out quantization means, is more convenient for comparing.
Similar, the present embodiment calculates the step of failure scores, comprising: merger weight coefficient and failure subordinating degree function,
Form the second evaluation set.The corresponding optimal weights coefficient of quantity of state and failure subordinating degree function are referred to and are formed together one
The calculating that a set scores convenient for failure.Failure scoring is calculated according to the second evaluation set and the second mathematical model.Staff
The second mathematical model is determined according to the data of a large amount of arrester operating status.By the optimum combination weight of quantity of state, quantity of state
The failure subordinating degree function of coefficient and quantity of state inputs the second mathematical model, the condition grading of arrester is calculated, to arrester
This qualitative amount of operating status carries out quantization means, is more convenient for comparing.
Finally, after the fault type for judging arrester, it is also necessary to by the state grade of arrester, fault type and corresponding
Maintaining method is exported and is shown, staff is helped to safeguard the safe operation of arrester.
Condition grading and failure scoring for quantitative, easy calculating arrester, in the weight coefficient for calculating quantity of state
Before the step of state subordinating degree function, need to quantity of state be classified and be normalized.The quantity of state of arrester be divided into quantitative data and
Qualitative data, quantitative data, that is, digital data, qualitative data, that is, character express type data, quantitative data is divided into more bigger more excellent again
Type data and smaller more excellent type data.Therefore different normalizeds need to then be done to different types of data classification.Normalizing
Change is a kind of dimensionless processing means, and the absolute value of physical system numerical value is made to become certain relative value relationship, is to simplify calculate, contract
The effective way of small magnitude.
In the present embodiment, quantitative data is uniformly processed using half trapezoid model, it can be with for qualitative data
It takes hundred-mark system marking to be converted into quantitative data according to the influence degree that the quantity of state runs arrester to be recorded by staff again
Enter system, for example this quantity of state has substantially no effect on when arrester operates normally can make 80 scores or more, when the quantity of state is to keeping away
Thunder device, which is safely operated to have, can make 60 scores~80 points when certain influence, when the quantity of state may have some arrester safe operation
40~60 scores can be made when threat, 20~40 scores can be made when the quantity of state has threat to arrester safe operation, when the shape
State amount makes 0~20 score when having detrimental effects to arrester safe operation.
Half trapezoid model of liter shown in Figure 2, is increasing with the increase y of x on the whole.It is handled using half trapezoid model is risen
More bigger, more excellent type quantity of state, such as insulation resistance.
Lower semi-trapezoid model shown in Figure 3 is reducing with the increase y of x on the whole.Using lower semi-trapezoid model treatment
Smaller more excellent type quantity of state, such as Leakage Current.
X is selected state magnitude in figure, and a, b are the corresponding threshold value of the state magnitude, generally can be according to national standard
" DL/T596-2005 power equipment is preventative for " GB11032-2016 alternating current gapless metal oxide arrester ", professional standard
Testing regulations ", national grid standard " lead by Q/GDW 11369-2014 arrester Leakage Current live detection technology field application
It then " is determined with the regulation of China Nanfang Grid Co., Ltd's company standard " power equipment preventive trial regulation ", y is
The value of quantity of state after normalization, using hundred-mark system.To sum up, the quantity of state of arrester can be all converted into hundred-mark system
Data volume is used for arrester condition diagnosing system.
The invention of this reality provides a kind of arrester method for diagnosing status, is classified to quantity of state and is normalized, by state
Amount is converted into hundred-mark system relative value, keeps subsequent calculating easier.The weight coefficient of quantity of state is calculated according to the quantity of state of arrester
With state subordinating degree function, the state etc. that condition grading judges arrester is calculated according to weight coefficient and state subordinating degree function
Grade.When state grade is failure, for the fault type for determining arrester, the failure subordinating degree function of quantity of state is calculated, according to
Weight coefficient and failure subordinating degree function calculate failure scoring and judge fault type.This diagnostic mode takes the method meter of science
Optimal quantity of state weight coefficient improves the accuracy of diagnosis in conjunction with the subordinating degree function based on big data analysis, work
Personnel only need that input state amount data can be obtained by the state grade of arrester and fault type improves the efficiency of diagnosis.
Embodiment 2
The embodiment of the present invention 2 provides a kind of arrester condition diagnosing system.
Arrester condition diagnosing system functional block diagram shown in Figure 4, condition diagnosing system include weight judging unit,
Degree of membership judging unit, scoring computing unit and judging unit；
Weight judging unit is used to calculate the weight coefficient of quantity of state；
Degree of membership judging unit is used to calculate the state subordinating degree function and failure subordinating degree function of quantity of state；
The computing unit that scores is used to calculate arrester according to weight coefficient, state subordinating degree function and the first mathematical model
Condition grading；The failure scoring of arrester is calculated according to weight coefficient, failure subordinating degree function and the second mathematical model；
Judging unit is used to judge according to condition grading the state grade of arrester；Arrester is judged according to failure scoring
Fault type.
Arrester condition diagnosing system functional block diagram shown in Figure 5, system further include taxonomic revision unit, are classified whole
Reason unit is used to classify and normalize the state quantity data of input.
Arrester condition diagnosing system functional block diagram shown in Figure 6, system further include judging aggregation units, judge collection
It closes unit and is used for merger weight coefficient and state subordinating degree function；Merger weight coefficient and failure subordinating degree function.
Scoring computing unit is also used to be stored in advance the first mathematical model and the second mathematical model.
Embodiment 3
The embodiment of the present invention 3 provides a kind of arrester condition diagnosis apparatus, including memory, processor and is stored in
On reservoir and the computer program that can run on a processor, processor realize the side in embodiment 1 when executing computer program
Method.
Unless specifically stated otherwise, the opposite step of the component and step that otherwise illustrate in these embodiments, digital table
It is not limit the scope of the invention up to formula and numerical value.It is apparent to those skilled in the art that for the side of description
Just and succinctly, the specific work process of the system and equipment of foregoing description, can be with reference to corresponding in preceding method embodiment
Journey, details are not described herein.
The flow chart and block diagram in the drawings show the system of multiple embodiments according to the present invention, method and computer journeys
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, section or code of table, a part of the module, section or code include one or more use
The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two continuous boxes can actually base
Originally it is performed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that
It is the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, can uses and execute rule
The dedicated hardware based system of fixed function or movement is realized, or can use the group of specialized hardware and computer instruction
It closes to realize.
In addition, in the description of the embodiment of the present invention unless specifically defined or limited otherwise, term " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood at this with concrete condition
Concrete meaning in invention.
In the description of the present invention, it should be noted that term " center ", "upper", "lower", "left", "right", "vertical",
The orientation or positional relationship of the instructions such as "horizontal", "inner", "outside" be based on the orientation or positional relationship shown in the drawings, merely to
Convenient for description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation,
It is constructed and operated in a specific orientation, therefore is not considered as limiting the invention.In addition, term " first ", " second ",
" third " is used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance.
A kind of computer program product of arrester method for diagnosing status is carried out provided by the embodiment of the present invention, including is deposited
The computer readable storage medium of the executable non-volatile program code of processor, the instruction that said program code includes are stored up
It can be used for executing previous methods method as described in the examples, specific implementation can be found in embodiment of the method, and details are not described herein.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided by the present invention, it should be understood that disclosed systems, devices and methods, it can be with
It realizes by another way.The apparatus embodiments described above are merely exemplary, for example, the division of the unit,
Only a kind of logical function partition, there may be another division manner in actual implementation, in another example, multiple units or components can
To combine or be desirably integrated into another system, or some features can be ignored or not executed.Another point, it is shown or beg for
The mutual coupling, direct-coupling or communication connection of opinion can be through some communication interfaces, device or unit it is indirect
Coupling or communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in the executable non-volatile computer-readable storage medium of a processor.Based on this understanding, of the invention
Technical solution substantially the part of the part that contributes to existing technology or the technical solution can be with software in other words
The form of product embodies, which is stored in a storage medium, including some instructions use so that
One computer equipment (can be personal computer, server or the network equipment etc.) executes each embodiment institute of the present invention
State all or part of the steps of method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can be with
Store the medium of program code.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover in protection of the invention
Within the scope of.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (10)
1. a kind of arrester method for diagnosing status characterized by comprising
The quantity of state of arrester is received, and calculates the weight coefficient and state subordinating degree function of the quantity of state；
Condition grading is calculated according to the weight coefficient and state subordinating degree function；
The state grade of arrester is judged according to the condition grading；
When the state grade is failure, the failure subordinating degree function of the quantity of state is calculated；
Failure scoring is calculated according to the weight coefficient and the failure subordinating degree function；
Fault type is judged according to failure scoring.
2. the method according to claim 1, wherein after the fault type step of the judgement arrester,
Further include:
The state grade, the fault type and corresponding maintaining method are exported and shown.
3. the method according to claim 1, wherein the weight coefficient for calculating the quantity of state and state are subordinate to
Before the step of category degree function, further includes:
Status data is classified and normalized.
4. the method according to claim 1, wherein the step of calculating condition grading, comprising:
Weight coefficient described in merger and the state subordinating degree function form the first evaluation set；
Condition grading is calculated according to evaluation set and the first mathematical model.
5. the method according to claim 1, wherein the step of calculating failure scores, comprising:
Weight coefficient described in merger and the failure subordinating degree function form evaluation set；
Failure scoring is calculated according to evaluation set and the second mathematical model.
6. a kind of arrester condition diagnosing system, which is characterized in that the condition diagnosing system includes weight judging unit, is subordinate to
Spend judging unit, scoring computing unit and judging unit；
The weight judging unit is used to calculate the weight coefficient of quantity of state；
The degree of membership judging unit is used to calculate the state subordinating degree function and failure subordinating degree function of the quantity of state；
The scoring computing unit is used to be calculated according to the weight coefficient, the state subordinating degree function and the first mathematical model
The condition grading of arrester；Arrester is calculated according to the weight coefficient, the failure subordinating degree function and the second mathematical model
Failure scoring；
The arrester judging unit is used to judge according to the condition grading state grade of the arrester；According to the event
Barrier scoring judges the fault type of the arrester.
7. system according to claim 6, which is characterized in that the system also includes taxonomic revision unit, the classification
Finishing unit is used to classify and normalize the state quantity data of input.
8. system according to claim 6, which is characterized in that the system also includes judge aggregation units, the judge
Aggregation units are for weight coefficient and the state subordinating degree function described in merger；Weight coefficient described in merger and the failure are subordinate to
Category degree function.
9. system according to claim 6, which is characterized in that the scoring computing unit is also used to be stored in advance the first number
Learn model and the second mathematical model.
10. a kind of arrester condition diagnosis apparatus, including memory, processor and it is stored on the memory and can be described
The computer program run on processor, which is characterized in that the processor realizes above-mentioned power when executing the computer program
Benefit require any one of 1 to 5 described in method.
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