CN108386325A - A kind of method and system of wind power generating set intelligent diagnostics - Google Patents
A kind of method and system of wind power generating set intelligent diagnostics Download PDFInfo
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- CN108386325A CN108386325A CN201810524562.4A CN201810524562A CN108386325A CN 108386325 A CN108386325 A CN 108386325A CN 201810524562 A CN201810524562 A CN 201810524562A CN 108386325 A CN108386325 A CN 108386325A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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Abstract
The embodiment of the invention discloses a kind of method and system of wind power generating set intelligent diagnostics, the management for optimizing Wind turbines.Present invention method includes：The processing data of wind turbine are obtained, the processing data include anomaly parameter and corrective measure, and there are the first incidence relation, the anomaly parameter includes target anomaly parameter for the anomaly parameter and corrective measure；Database is generated according to the processing data of the wind turbine；Obtain the operation data of target fan；Judge that the operation data of the target fan whether there is target anomaly parameter；If so, being inquired in the database according to the target anomaly parameter, determine that there are the corrective measures of the first incidence relation with the target anomaly parameter.Therefore, when occurring target anomaly parameter in the operation data of target fan, inquiry in the database determines that there are the corrective measures of the first incidence relation with the target anomaly parameter, to realize the intelligent diagnostics of wind power generating set by one plan of a machine.
Description
Technical field
The present invention relates to wind power generation field more particularly to a kind of method and system of wind power generating set intelligent diagnostics.
Background technology
With the exhaustion of conventional energy resource, regenerative resource will be as the important component of following energy.Due to wind energy
Its storage capacity is easily formed scale, and wind generating technology relative maturity again greatly, and therefore, wind energy exists as a kind of green energy resource
Recent decades have obtained extensive development and utilization, also promise to be following irreplaceable one of the renewable resource.
Conventionally, as wind power generating set long-play and operating mode is severe, in usage time of accumulating over a long period
In, the damage of component happens occasionally.Be embodied in certain parts in wind turbine and lose original precision or performance, prevent equipment from
Normal operation, technical performance reduce, and causing wind turbine to interrupt production or efficiency reduces and influence production.It generally requires veteran
Professional periodically at the scene assesses the operation of wind turbine, investigates the fault point of wind turbine and the influence journey to fan operation
Degree, then provides corresponding measures to rectify and reform by professional again.
However, this method by manual evaluation fan operation situation is there are the influence of certain subjective factor, it is sometimes right
In misdeeming in deviation for fan trouble, and this method consumes a large amount of manpower and materials.
Invention content
An embodiment of the present invention provides a kind of method and system of wind power generating set intelligent diagnostics, for passing through a machine one
Plan realizes the intelligent diagnostics of wind power generating set.
First aspect of the embodiment of the present invention provides a kind of method and system of wind power generating set intelligent diagnostics, feature
It is, including：
Obtain the processing data of wind turbine, the processing data include anomaly parameter and corrective measure, the anomaly parameter with
There are the first incidence relation, the anomaly parameter includes target anomaly parameter for the corrective measure；
Database is generated according to the processing data of the wind turbine；
Obtain the operation data of target fan；
Judge that the operation data of the target fan whether there is target anomaly parameter；
If so, being inquired in the database according to the target anomaly parameter, determine and the target anomaly parameter
There are the corrective measures of the first incidence relation.
Optionally, the processing data for obtaining wind turbine include：
The processing data of wind turbine are obtained, the processing data further include abnormal cause, the abnormal cause and the exception
Parameter is there are the second incidence relation, and there are third incidence relations with the corrective measure for the abnormal cause.
Optionally, described according to the mesh when determining the operation data of the target fan there are when target anomaly parameter
Mark anomaly parameter is inquired in the database, determines that there are the corrective measures of the first incidence relation with the target anomaly parameter
Including：
It is inquired in the database according to the target anomaly parameter, determines that there are second with the target anomaly parameter
The abnormal cause of incidence relation；
It is inquired in the database according to the abnormal cause, determines that there are thirds to be associated with the target anomaly parameter
The corrective measure of relationship.
Optionally, the operation data of the wind turbine includes：Generated energy, availability, standard availability, loss electricity,
The electric rate of loss, electricity generation efficiency, standard electricity generation efficiency, machine stop times, downtime, shut down one in type, failure code or
It is multiple.
Second aspect of the embodiment of the present invention provides a kind of system of wind power generating set intelligent diagnostics, including：
First acquisition unit, the processing data for obtaining wind turbine, the processing data include that anomaly parameter and improvement are arranged
It applies, there are the first incidence relation, the anomaly parameter includes target anomaly parameter for the anomaly parameter and the corrective measure；
Generation unit, for generating database according to the processing data of the wind turbine；
Second acquisition unit, the operation data for obtaining target fan；
Judging unit, for judging that the operation data of the target fan whether there is target anomaly parameter；
First determination unit, for determining the operation data of the target fan when the judging unit, there are target exceptions
It when parameter, is then inquired in the database according to the target anomaly parameter, determines that there are the with the target anomaly parameter
The corrective measure of one incidence relation.
Optionally, the first acquisition unit is specifically used for：
The processing data of wind turbine are obtained, the processing data further include abnormal cause, the abnormal cause and the exception
Parameter is there are the second incidence relation, and there are third incidence relations with the corrective measure for the abnormal cause.
Optionally, first determination unit is specifically used for：
When the judging unit determines the operation data of the target fan there are when target anomaly parameter, then according to
Target anomaly parameter is inquired in the database, determines that there are the exception of the second incidence relation is former with the target anomaly parameter
Cause；
It is inquired in the database according to the abnormal cause, determines that there are thirds to be associated with the target anomaly parameter
The corrective measure of relationship..
Optionally, the operation data of the wind turbine includes：Generated energy, availability, standard availability, loss electricity,
The electric rate of loss, electricity generation efficiency, standard electricity generation efficiency, machine stop times, downtime, shut down one in type, failure code or
It is multiple.
Third aspect present invention provides a kind of computer installation, including：
Processor, memory, input-output equipment and bus；
The processor, memory, input-output equipment are connected with the bus respectively；
The processor is for executing method as in the foregoing embodiment.
Fourth aspect of the embodiment of the present invention provide it is a kind of comprising instruction computer program product, when its on computers
When operation so that the computer executes method as in the foregoing embodiment.
As can be seen from the above technical solutions, the embodiment of the present invention has the following advantages：Obtain the processing data of wind turbine, institute
It includes anomaly parameter and corrective measure to state processing data, and the anomaly parameter and corrective measure are described there are the first incidence relation
Anomaly parameter includes target anomaly parameter；Database is generated according to the processing data of the wind turbine；Obtain the operation of target fan
Data；Judge that the operation data of the target fan whether there is target anomaly parameter；If so, being joined extremely according to the target
Number is inquired in the database, determines that there are the corrective measures of the first incidence relation with the target anomaly parameter.Therefore, originally
There is target by the way that anomaly parameter and corrective measure associated storage are generated database in the operation data of target fan in invention
When anomaly parameter, inquiry in the database is determined with the target anomaly parameter there are the corrective measure of the first incidence relation, from
And the intelligent diagnostics of wind power generating set are realized by one plan of a machine.
Description of the drawings
Fig. 1 is an a kind of schematic diagram of the method for wind power generating set intelligent diagnostics in the embodiment of the present invention；
Fig. 2 is an a kind of schematic diagram of the method for wind power generating set intelligent diagnostics in the embodiment of the present invention；
Fig. 3 is an a kind of schematic diagram of the system of wind power generating set intelligent diagnostics in the embodiment of the present invention；
Fig. 4 is an a kind of schematic diagram of the system of wind power generating set intelligent diagnostics in the embodiment of the present invention；
Fig. 5 is an a kind of schematic diagram of computer installation in the embodiment of the present invention.
Specific implementation mode
An embodiment of the present invention provides a kind of method and system of wind power generating set intelligent diagnostics, for passing through a machine one
Plan realizes the intelligent diagnostics of wind power generating set.
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The every other embodiment that member is obtained without making creative work should all belong to the model that the present invention protects
It encloses.
Term " first ", " second ", " third " in description and claims of this specification and above-mentioned attached drawing, "
Four " etc. be for distinguishing similar object, without being used to describe specific sequence or precedence.It should be appreciated that using in this way
Data can be interchanged in the appropriate case, so that the embodiments described herein can be in addition to illustrating or describing herein
Sequence other than appearance is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that covering is non-exclusive
Include to be not necessarily limited to clearly arrange for example, containing the process of series of steps or unit, method, system, product or equipment
Those of go out step or unit, but may include not listing clearly or solid for these processes, method, product or equipment
The other steps or unit having.
In order to make it easy to understand, the detailed process in the embodiment of the present invention is described below, referring to Fig. 1, of the invention
A kind of one embodiment of the method for wind power generating set intelligent diagnostics includes in embodiment：
101, the processing data of wind turbine are obtained；
In the present embodiment, the processing data of wind turbine are obtained, the processing data include anomaly parameter and corrective measure, described
There are the first incidence relation, the anomaly parameter includes target anomaly parameter for anomaly parameter and corrective measure.
Specifically, the processing data of wind turbine can be acquired by way of data acquisition or data inputting, wherein
The processing data include anomaly parameter and corrective measure, and there are the first incidence relations for anomaly parameter and corrective measure, this joins extremely
Number can with quantity can be one or more, target anomaly parameter be it is therein any one.
Below by taking availability analysis in Wind turbines as an example, table 1 is please referred to：
Table 1
As shown in table 1, there are the first incidence relations with corrective measure for anomaly parameter, that is, there is the first correspondence, abnormal
Parameter is corresponded with corrective measure, by taking parameter shown in table as an example, " availability<98% " and " failure availability<
There are the first incidence relation, " availabilitys for both 99% " and " analyzing unit failure, formulate Improving Measurements "<98% "
And " failure availability>99% " and " time between predetermined repairs ratio>2% " there are the first incidence relations with " optimization regular inspection planning ".
102, database is generated according to the processing data of the wind turbine；
In the present embodiment, the processing data of the wind turbine acquired according to step 101 generate database, specially according to the
Anomaly parameter and corrective measure are associated storage by one incidence relation, generate database.It in practical applications, can be with table 1
For word form storage generate database, can also be associated according to the pattern of mind map storage generate data
Library can also be generated database in the form of other, not limited herein specifically.
103, the operation data of target fan is obtained；
In the present embodiment, periodically the operating condition of target fan can be assessed, that is, obtain the operation number of target machine
According to target fan can be an independent target fan herein, or the target fan of more Fans compositions.
Specifically, the operation data of target fan can be obtained, the operation data may include generated energy, availability,
Standard availability, the electric rate of loss, electricity generation efficiency, standard electricity generation efficiency, machine stop times, downtime, shuts down class at loss electricity
One or more of type, failure code can also be the operation data of other wind turbines, be specifically not listed one by one herein.
104, judge that the operation data of the target fan whether there is target anomaly parameter；
In the present embodiment, the operation data for the target fan that judgment step 103 acquires is joined extremely with the presence or absence of target
Number, if so, 105 are thened follow the steps, if it is not, thening follow the steps 106.
Specifically, still by taking availability as an example, if there are in table 1 when anomaly parameter, it is determined that the fortune of the target fan
There are target anomaly parameters for row data, and " availability is indicated even in fan operation parameter<98% " and " failure availability<
99% ", or " availability<98% " and " failure availability>99% " and " time between predetermined repairs ratio>When 2% ", the mesh is determined
There are target anomaly parameters for the operation data of mark wind turbine.
105, when determining that the operation data of the target fan there are when target anomaly parameter, joins extremely according to the target
Number is inquired in the database, determines that there are the corrective measures of the first incidence relation with the target anomaly parameter.
Specifically, when determining the operation data of the target fan there are when target anomaly parameter, according to target exception
Parameter is inquired in the database, determines that there are the corrective measures of the first incidence relation with the target anomaly parameter.Then
It can either text information push or other form show the corrective measure with voice broadcast.
106, other steps are executed.
In the present embodiment, when determining that target anomaly parameter is not present in the operation data of target fan, then illustrate the target
The operation conditions of wind turbine is good.
In the present embodiment, the processing data of wind turbine are obtained, the processing data include anomaly parameter and corrective measure, described
There are the first incidence relation, the anomaly parameter includes target anomaly parameter for anomaly parameter and corrective measure；According to the wind turbine
Processing data generate database；Obtain the operation data of target fan；Judge whether the operation data of the target fan deposits
In target anomaly parameter；If so, being inquired in the database according to the target anomaly parameter, determination is different with the target
There are the corrective measures of the first incidence relation for normal parameter.Therefore, the present invention is by by anomaly parameter and corrective measure associated storage
Generate database, when occurring target anomaly parameter in the operation data of target fan, in the database inquiry determine with it is described
There are the corrective measures of the first incidence relation for target anomaly parameter, to realize the intelligence of wind power generating set by one plan of a machine
It can diagnosis.
In the embodiment of the present invention, the processing data of wind turbine can also include abnormal cause, that is, lead to anomaly parameter occur
Reason, referring specifically to Fig. 2, a kind of another embodiment of the method for wind power generating set intelligent diagnostics in the embodiment of the present invention
Including：
201, the processing data of wind turbine are obtained；
In the present embodiment, the processing data of wind turbine are obtained, the processing data include anomaly parameter and corrective measure, exception
There are the second incidence relation, which includes target anomaly parameter, the exception for reason, the anomaly parameter and the abnormal cause
There are third incidence relations with the corrective measure for reason.
Specifically, the processing data of wind turbine can be acquired by way of data acquisition or data inputting, wherein
The processing data include anomaly parameter, abnormal cause and corrective measure, and there are second to be associated with for the anomaly parameter and the abnormal cause
Relationship, the anomaly parameter include target anomaly parameter, which, there are third incidence relation, specifically may be used with the corrective measure
Determine there is the abnormal cause of the second incidence relation therewith with the anomaly parameter handled according to wind turbine in data, further according to different with this
Normal reason determines the corrective measure that there is third incidence relation therewith, the anomaly parameter can with quantity can be for one or more
It is a, target anomaly parameter be it is therein any one.
Below by taking availability analysis in Wind turbines as an example, table 2 is please referred to：
Table 2
As shown in table 2, anomaly parameter and abnormal cause be there are the second incidence relation, and there are for abnormal cause and corrective measure
Three incidence relations, specifically can according to anomaly parameter determine therewith exist the second incidence relation abnormal cause, further according to this
Abnormal cause determines the corrective measure that there is third incidence relation therewith.
Specifically, according to anomaly parameter " availability>99% " and " failure availability<99% " can determine and deposit therewith
In the abnormal cause " unit failure rate is higher " of the second incidence relation, exist further according to abnormal cause " unit failure rate is higher "
The corrective measure " unit failure being analyzed, Improving Measurements are formulated " of third incidence relation.
202, database is generated according to the processing data of the wind turbine；
In the present embodiment, the processing data of the wind turbine acquired according to step 201 generate database, specially according to the
Anomaly parameter and corrective measure are associated storage by one incidence relation, according to the second incidence relation that anomaly parameter and exception is former
Because being associated storage, abnormal cause and corrective measure are associated storage according to third incidence relation, generate database.
In practical application, it can be stored by the word form for table 2 and generate database, it can also be according to the pattern of mind map
It is associated storage and generates database, database can also be generated in the form of other, is not limited herein specifically.
203, the operation data of target fan is obtained；
In the present embodiment, periodically the operating condition of target fan can be assessed, that is, obtain the operation number of target machine
According to target fan can be an independent target fan herein, or the target fan of more Fans compositions.
Specifically, the operation data of target fan can be obtained, the operation data may include generated energy, availability,
Standard availability, the electric rate of loss, electricity generation efficiency, standard electricity generation efficiency, machine stop times, downtime, shuts down class at loss electricity
One or more of type, failure code can also be the operation data of other wind turbines, be specifically not listed one by one herein.
204, judge that the operation data of the target fan whether there is target anomaly parameter；
In the present embodiment, the operation data for the target fan that judgment step 203 acquires is joined extremely with the presence or absence of target
Number, if so, 205 are thened follow the steps, if it is not, thening follow the steps 206.
Specifically, still by taking generated energy as an example, if there are when anomaly parameter in table 2, it is determined that the fortune of the target fan
There are target anomaly parameters for row data, and " availability is found even in the operation data of target fan>99% " and " failure can profit
With rate<99% " or " availability<98% " and " analysis of working time ratio " in " time between predetermined repairs ratio>When 2% ", determine
There are target anomaly parameters for the operation data of the target fan.
205, when determining that the operation data of the target fan there are when target anomaly parameter, joins extremely according to the target
Number is inquired in the database, determines that there are the corrective measures of the first incidence relation with the target anomaly parameter.
Specifically, when determining the operation data of the target fan there are when target anomaly parameter, according to target exception
Parameter is inquired in the database, determines that there are the abnormal causes of the second incidence relation with the target anomaly parameter, then really
There are the corrective measures of third incidence relation for the fixed and abnormal cause.Then it can be pushed with voice broadcast or text information,
Or other forms show the corrective measure.
206, when determining that the operation data of the target fan there are when target anomaly parameter, joins extremely according to the target
Number is inquired in the database, determines that there are the abnormal causes of the second incidence relation with the target anomaly parameter.
Specifically, when determining the operation data of the target fan there are when target anomaly parameter, according to target exception
Parameter is inquired in the database, determines that there are the abnormal causes of the second incidence relation with the target anomaly parameter, then
It can either text information push or other form show the corrective measure with voice broadcast.
207, other steps are executed.
In the present embodiment, when determining that target anomaly parameter is not present in the operation data of target fan, then illustrate the target
The operation conditions of wind turbine is good.
In the present embodiment, the processing data of wind turbine are obtained, the processing data include anomaly parameter, abnormal cause and improvement
There are there are the first incidence relation, affiliated anomaly parameter and affiliated abnormal cause for measure, the anomaly parameter and corrective measure
Two incidence relations, the anomaly parameter include target anomaly parameter, and there are third passes with the corrective measure for the abnormal cause
Connection relationship；Database is generated according to the processing data of the wind turbine；Obtain the operation data of target fan；Judge the target wind
The operation data of machine whether there is target anomaly parameter；If so, being looked into the database according to the target anomaly parameter
It askes, determines that there are the abnormal causes of the second incidence relation with the target anomaly parameter, according to the abnormal cause in the number
According to being inquired in library, determine that there are the corrective measures of third incidence relation with the target abnormal cause.Therefore, the present invention pass through by
Anomaly parameter and corrective measure associated storage generate database, occur target anomaly parameter in the operation data of target fan
When, inquiry in the database determines that there are the corrective measures of the first incidence relation with the target anomaly parameter, to pass through one
Machine one plan realizes the intelligent diagnostics of wind power generating set.
The method part in the embodiment of the present invention is described above, below to a kind of wind-force in the embodiment of the present invention
The system of generating set intelligent diagnostics is described, referring to Fig. 3, a kind of wind power generating set is intelligently examined in the embodiment of the present invention
One embodiment of disconnected system includes：
First acquisition unit 301, the processing data for obtaining wind turbine, the processing data include anomaly parameter and improvement
There are the first incidence relation, the anomaly parameter includes target anomaly parameter for measure, the anomaly parameter and the corrective measure；
Generation unit 302, for generating database according to the processing data of the wind turbine；
Second acquisition unit 303, the operation data for obtaining target fan；
Judging unit 304, for judging that the operation data of the target fan whether there is target anomaly parameter；
First determination unit 305, for determining the operation data of the target fan when the judging unit, there are targets
It when anomaly parameter, is then inquired in the database according to the target anomaly parameter, determination is deposited with the target anomaly parameter
In the corrective measure of the first incidence relation.
In the present embodiment, first acquisition unit 301, the processing data for obtaining wind turbine, the processing data include different
There are the first incidence relation, the anomaly parameter includes for normal parameter and corrective measure, the anomaly parameter and the corrective measure
Target anomaly parameter；Generation unit 302, for generating database according to the processing data of the wind turbine；Second acquisition unit
303, the operation data for obtaining target fan；Judging unit 304, for judge the target fan operation data whether
There are target anomaly parameters；First determination unit 305, the operation data for determining the target fan when the judging unit
It there are when target anomaly parameter, is then inquired in the database according to the target anomaly parameter, determination is different with the target
There are the corrective measures of the first incidence relation for normal parameter.Therefore, the present invention is by by anomaly parameter and corrective measure associated storage
Generate database, when occurring target anomaly parameter in the operation data of target fan, in the database inquiry determine with it is described
There are the corrective measures of the first incidence relation for target anomaly parameter, to realize the intelligence of wind power generating set by one plan of a machine
It can diagnosis.
Below referring to Fig. 4, a kind of another reality of the system of wind power generating set intelligent diagnostics in the embodiment of the present invention
Applying example includes：
First acquisition unit 401, the processing data for obtaining wind turbine, the processing data include anomaly parameter and improvement
There are the first incidence relation, the anomaly parameter includes target anomaly parameter for measure, the anomaly parameter and the corrective measure；
Generation unit 402, for generating database according to the processing data of the wind turbine；
Second acquisition unit 403, the operation data for obtaining target fan；
Judging unit 404, for judging that the operation data of the target fan whether there is target anomaly parameter；
First determination unit 405, for determining the operation data of the target fan when the judging unit, there are targets
It when anomaly parameter, is then inquired in the database according to the target anomaly parameter, determination is deposited with the target anomaly parameter
In the corrective measure of the first incidence relation.
In some possible embodiments, the first acquisition unit 401 is specifically used for：
The processing data of wind turbine are obtained, the processing data further include abnormal cause, the abnormal cause and the exception
There are the second incidence relations for parameter.
The first determination unit 405 described in some possible embodiments is specifically used for：
When the judging unit determines the operation data of the target fan there are when target anomaly parameter, then according to
Target anomaly parameter is inquired in the database, determines that there are the exception of the second incidence relation is former with the target anomaly parameter
Cause；
It is inquired in the database according to the abnormal cause, determines that there are third incidence relations with the abnormal cause
Corrective measure.
In some possible embodiments, the operation data of the wind turbine includes：Generated energy, availability, standard can profits
With rate, loss electricity, the electric rate of loss, electricity generation efficiency, standard electricity generation efficiency, machine stop times, downtime, shut down type, failure
One or more of code.
In the present embodiment, first acquisition unit 401, the processing data for obtaining wind turbine, the processing data include different
There are the first incidence relation, the anomaly parameter includes for normal parameter and corrective measure, the anomaly parameter and the corrective measure
Target anomaly parameter；Generation unit 402, for generating database according to the processing data of the wind turbine；Second acquisition unit
403, the operation data for obtaining target fan；Judging unit 404, for judge the target fan operation data whether
There are target anomaly parameters；First determination unit 405, the operation data for determining the target fan when the judging unit
It there are when target anomaly parameter, is then inquired in the database according to the target anomaly parameter, determination is different with the target
There are the corrective measures of the first incidence relation for normal parameter.Therefore, the present invention is by by anomaly parameter and corrective measure associated storage
Generate database, when occurring target anomaly parameter in the operation data of target fan, in the database inquiry determine with it is described
There are the corrective measures of the first incidence relation for target anomaly parameter, to realize the intelligence of wind power generating set by one plan of a machine
It can diagnosis.
Above from the angle of modular functionality entity to a kind of wind power generating set intelligent diagnostics in the embodiment of the present invention
System be described, the computer installation in the embodiment of the present invention is described from the angle of hardware handles below：It should
Computer installation includes processor, memory, input-output equipment and bus；The processor, memory, input and output are set
Back-up is not connected with the bus；The processor is for the step of executing the above method.Referring to Fig. 5, the embodiment of the present application
One specific embodiment of the processing unit of middle subdocument includes：
The device 500 can generate bigger difference because configuration or performance are different, may include one or more
Central processing unit (central processing units, CPU) 501 (for example, one or more processors) and storage
Device 505 is stored with one or more application program or data in the memory 505.
Wherein, memory 505 can be volatile storage or persistent storage.Being stored in the program of memory 505 can wrap
One or more modules are included, each module may include to the series of instructions operation in server.Further, in
Central processor 501 could be provided as communicating with memory 505, and a series of fingers in memory 505 are executed on intelligent terminal 500
Enable operation.
The device 500 can also include one or more power supplys 502, one or more wired or wireless networks
Interface 503, one or more input/output interfaces 504, and/or, one or more operating systems, such as
Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM etc..
It is understood that in various embodiments of the present invention, the size of the serial number of above steps is not meant to
The execution sequence of the priority of execution sequence, each step should be determined by its function and internal logic, without coping with the embodiment of the present invention
Implementation process constitute any restriction.
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 herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be the indirect coupling by some interfaces, device or unit
It closes or communicates to connect, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part steps.And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, RandomAccess Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to before
Stating embodiment, invention is explained in detail, it will be understood by those of ordinary skill in the art that：It still can be to preceding
The technical solution recorded in each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
Modification or replacement, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of method and system of wind power generating set intelligent diagnostics, which is characterized in that including：
The processing data of wind turbine are obtained, the processing data include anomaly parameter and corrective measure, the anomaly parameter and described
There are the first incidence relation, the anomaly parameter includes target anomaly parameter for corrective measure；
Database is generated according to the processing data of the wind turbine；
Obtain the operation data of target fan；
Judge that the operation data of the target fan whether there is target anomaly parameter；
If so, being inquired in the database according to the target anomaly parameter, determines and exist with the target anomaly parameter
The corrective measure of first incidence relation.
2. according to the method described in claim 1, it is characterized in that, the processing data for obtaining wind turbine include：
The processing data of wind turbine are obtained, the processing data further include abnormal cause, the abnormal cause and the anomaly parameter
There are the second incidence relation, there are third incidence relations with the corrective measure for the abnormal cause.
3. according to the method described in claim 2, it is characterized in that, when there are targets for the operation data for determining the target fan
It is described to be inquired in the database according to the target anomaly parameter when anomaly parameter, it determines and the target anomaly parameter
Corrective measure there are the first incidence relation includes：
It is inquired in the database according to the target anomaly parameter, determines that there are second to be associated with the target anomaly parameter
The abnormal cause of relationship；
It is inquired in the database according to the abnormal cause, determines that there are third incidence relations with the target abnormal cause
Corrective measure.
4. method according to any one of claims 1 to 3, which is characterized in that the operation data of the wind turbine includes：Power generation
Amount, standard availability, loss electricity, the electric rate of loss, electricity generation efficiency, standard electricity generation efficiency, machine stop times, is stopped at availability
One or more of machine time, shutdown type, failure code.
5. a kind of system of wind power generating set intelligent diagnostics, which is characterized in that including：
First acquisition unit, the processing data for obtaining wind turbine, the processing data include anomaly parameter and corrective measure, institute
Anomaly parameter and the corrective measure are stated there are the first incidence relation, the anomaly parameter includes target anomaly parameter；
Generation unit, for generating database according to the processing data of the wind turbine；
Second acquisition unit, the operation data for obtaining target fan；
Judging unit, for judging that the operation data of the target fan whether there is target anomaly parameter；
First determination unit, for determining the operation data of the target fan when the judging unit, there are target anomaly parameters
When, then it is inquired in the database according to the target anomaly parameter, determines that there are the first passes with the target anomaly parameter
The corrective measure of connection relationship.
6. system according to claim 5, which is characterized in that the first acquisition unit is specifically used for：
The processing data of wind turbine are obtained, the processing data further include abnormal cause, the abnormal cause and the anomaly parameter
There are the second incidence relation, there are third incidence relations with the corrective measure for the abnormal cause.
7. system according to claim 6, which is characterized in that first determination unit is specifically used for：
When the judging unit determines the operation data of the target fan there are when target anomaly parameter, then according to the target
Anomaly parameter is inquired in the database, determines that there are the abnormal causes of the second incidence relation with the target anomaly parameter；
It is inquired in the database according to the abnormal cause, determines that there are third incidence relations with the target abnormal cause
Corrective measure.
8. according to claim 5 to 7 any one of them system, which is characterized in that the operation data of the wind turbine includes：Power generation
Amount, standard availability, loss electricity, the electric rate of loss, electricity generation efficiency, standard electricity generation efficiency, machine stop times, is stopped at availability
One or more of machine time, shutdown type, failure code.
9. a kind of computer installation, which is characterized in that including：
Processor, memory, input-output equipment and bus；
The processor, memory, input-output equipment are connected with the bus respectively；
The processor is for executing such as Claims 1-4 any one of them method.
10. a kind of computer program product including instruction, which is characterized in that when run on a computer so that described
Computer executes such as Claims 1-4 any one of them method.
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