CN108226775A - The automatic fault selftesting method and device of wind-driven generator - Google Patents
The automatic fault selftesting method and device of wind-driven generator Download PDFInfo
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- CN108226775A CN108226775A CN201611148516.6A CN201611148516A CN108226775A CN 108226775 A CN108226775 A CN 108226775A CN 201611148516 A CN201611148516 A CN 201611148516A CN 108226775 A CN108226775 A CN 108226775A
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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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- G01R31/343—Testing dynamo-electric machines in operation
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Abstract
The present invention provides a kind of automatic fault selftesting method and device of wind-driven generator, and method includes：After fan operation failure, the operation data of wind turbine is obtained；It is determined and the corresponding component information of operation data using pre-set data-structure tree；In identified component information, according to the fault message for the component that operation data determines to break down, fault message includes at least one of following information：Failure number, failure cause and fault type.The automatic fault selftesting method and device of wind-driven generator provided by the invention, by obtaining the operation data of wind turbine and can determine component information using data-structure tree, and then failure number, failure cause and fault type of component for breaking down etc. can be determined according to operation data, significantly reduce the difficulty of fan trouble detection, and reduce and the time spent required for failure is investigated to wind turbine, improve the detection efficiency to fan trouble.
Description
Technical field
The present invention relates to technical field of wind power more particularly to a kind of automatic fault selftesting method and devices of wind-driven generator.
Background technology
With the rapid development of science and technology, wind generating technology reaches its maturity, and for wind power plant, by
Constantly change in the type selecting of equipment, various configurations occur in MW class MW units, and the various of configuration is brought to field maintenance person
Many burdens, at same project scene, it is possible to there are several kinds of different configuration of units, and different configuration of unit may
Different types of failure can be generated.
In the prior art, for different configuration of unit, it is possible that different types of failure, it is therefore desirable to
Debugging and maintenance personnel is asked to have the high ability of maintenance, more energy is paid and go to learn, so as to increase debugging and maintenance
The professional skill difficulty of personnel；And when unit operation breaks down, for owner and general staff, need flower very
More times go investigation failure, not only influence the availability of unit, and the strong influence generated energy of unit, owner is made
Into larger loss.
Invention content
The present invention provides a kind of automatic fault selftesting method and device of wind-driven generator, of the existing technology for solving
Above-mentioned or other potential problems.
An aspect of of the present present invention provides a kind of automatic fault selftesting method of wind-driven generator, including：
After fan operation failure, the operation data of the wind turbine is obtained；
It is determined and the corresponding component information of the operation data using pre-set data-structure tree；
In identified component information, believed according to the failure of component that the operation data determines to break down
Breath, the fault message include at least one of following information：Failure number, failure cause and fault type.
Another aspect provides a kind of failure self-testing device of wind-driven generator, including：
Acquisition module, for after fan operation breaks down, obtaining the operation data of the wind turbine；
Processing module, for being determined and the corresponding component of the operation data using pre-set data-structure tree
Information；
Determining module, for the member in identified component information, determining to break down according to the operation data
The fault message of device, the fault message include at least one of following information：Failure number, failure cause and failure classes
Type.
The automatic fault selftesting method and device of wind-driven generator provided by the invention, by obtaining the operation data of wind turbine simultaneously
Component information can be determined using data-structure tree, and then the event of the component to break down can be determined according to operation data
Hinder at least one of number, failure cause and fault type, significantly reduce the difficulty of fan trouble detection, and reduce
The time spent required for failure is investigated to wind turbine, improves the detection efficiency to fan trouble, further ensures the event
Hinder the practicability of self-sensing method, be conducive to the popularization and application in market.
Description of the drawings
Fig. 1 is a kind of flow diagram of the automatic fault selftesting method of wind-driven generator provided in an embodiment of the present invention；
Fig. 2 determines opposite with the operation data for the pre-set data-structure tree of utilization provided in an embodiment of the present invention
The flow diagram for the component information answered；
Fig. 3 is the flow signal for a kind of automatic fault selftesting method of wind-driven generator that another embodiment of the present invention provides
Figure；
Fig. 4 is the fault message of the component provided in an embodiment of the present invention for determining to break down according to the operation data
Flow diagram；
Fig. 5 is the flow signal for a kind of automatic fault selftesting method of wind-driven generator that further embodiment of this invention provides
Figure；
Fig. 6 is the structure diagram of data-structure tree provided in an embodiment of the present invention；
Fig. 7 is a kind of structure diagram of the failure self-testing device of wind-driven generator provided in an embodiment of the present invention.
Specific embodiment
With reference to the accompanying drawings and examples, the specific embodiment of the present invention is described in further detail.Following instance
For illustrating the present invention, but it is not limited to the scope of the present invention.
Fig. 1 is a kind of flow diagram of the automatic fault selftesting method of wind-driven generator provided in an embodiment of the present invention；Fig. 2
It is determined and the corresponding component information of operation data using pre-set data-structure tree to be provided in an embodiment of the present invention
Flow diagram；Fig. 4 is that the failure of the component provided in an embodiment of the present invention for determining to break down according to operation data is believed
The flow diagram of breath；Refer to the attached drawing 1-2,4 are it is found that present embodiments provide a kind of automatic fault selftesting side of wind-driven generator
Method, the automatic fault selftesting method are used for the automatic fault detection information after fan operation failure, to improve to fan trouble
The efficiency of detection；Specifically, the automatic fault selftesting method includes：
S101：After fan operation failure, the operation data of wind turbine is obtained；
The present embodiment does not limit the particular content of the operation data of wind turbine, and those skilled in the art can be according to tool
The design requirement of body is configured, and more preferably, the operation data of wind turbine is set as including：It breaks down in fan operation
Before, before the failure in the first preset time period operation data and fan operation failure after, in the second preset time period
Operation data after failure；It should be noted that the first preset time period and the second preset time period are pre-set, this field
Technical staff can be according to specific design requirement to the concrete numerical value range of the first preset time period and the second preset time period
It is configured, in order to improve the detection efficiency to fan trouble, more preferably, the first preset time period is set as 90s, the
Two preset time periods are set as 30s, that is, obtain operation data and wind turbine appearance event before the failure in the 90s before wind turbine breaks down
Operation data after the failure in 30s after barrier while can realize to fan trouble self-test, also efficiently reduces fortune
The quantity of row data, and then the efficiency of automatic fault selftesting can be improved.
In addition, since the parameter related with fan operation is more, acquired fan operation data can be set
It is to include：Digital information and analog quantity information, wherein, digital information can include：Triggering is believed along the transformation period of signal
It ceases (retention time, preceding retention time, rear retention time etc.), high-low voltage signal (specific voltage value) etc., simulation
Amount information can include：Environment temperature and sensor temperature etc..
In addition, the present embodiment is not limited for specifically obtaining the realization method of the operation data of wind turbine, art technology
Personnel can be configured according to specific design requirement, for example, can be set as passing through nothing by the mode for obtaining data information
Line router is attached acquisition with the processor PLC in wind turbine, wherein, PLC is used to be monitored the working condition of wind turbine
And control, after PLC monitors data, it is connect by wireless router with PLC, you can get the operation data of wind turbine；When
Right, those skilled in the art can also use other modes to realize the acquisition of fan operation data, and details are not described herein.
S102：It is determined and the corresponding component information of operation data using pre-set data-structure tree；
Wherein, data-structure tree for it is pre-set and with the corresponding data information of blower fan structure；In the data structure
Tree includes the architectural characteristic information of each component in wind turbine；It, can be according to operation data after operation data is got
Information characteristic determine the component information related with the operation data, one can be included in above-mentioned described component information
Or the characteristic information of multiple components；The present embodiment is for specifically determining the tool with the corresponding component information of operation data
Body realization method does not limit, and those skilled in the art can be configured according to specific design requirement, more preferably, can
Pre-set data-structure tree will be utilized to determine to be set as specifically including with the corresponding component information of operation data：
S1021：Obtain pre-set identification information in operation data；
Wherein, identification information is pre-set, for identifying component associated with operation data；The identification information
It can be set in the title of operation data；For example, first in operation data title can be set as marking to which position
Know information bit, identification information can be got by the information obtained in identifier information bit.
S1022：It is according to identification information and corresponding with component information using the identification information stored in data-structure tree
Relationship determines and the corresponding component information of operation data.
It is closed it should be noted that the identification information stored in data-structure tree is not corresponded with component information
System, i.e., an identification information can be corresponding with multiple components, and a component can also be opposite with multiple identification informations
It should；So that is, a data in operation data can be corresponding with multiple components, and a component can also
Corresponding multiple data；After identification information is got, it can be determined according to the correspondence of identification information and component information
With the corresponding component information of operation data.
S103：In identified component information, believed according to the failure of component that operation data determines to break down
Breath, fault message include at least one of following information：Failure number, failure cause and fault type.
After corresponding component information is determined, operation data can be analyzed and processed, may thereby determine that out
The fault message of the component of existing failure, the present embodiment is for the realization method of the fault message of the determining component to break down
It does not limit, those skilled in the art can be configured according to specific design requirement, more preferably, will be according to operation number
It is set as specifically including according to the fault message of the component of determining failure：
S1031：Operation data and pre-set threshold data are subjected to analysis comparison；
Wherein, threshold data is pre-set, can there is different threshold values for the operation data of different components
Data, the threshold data can include max-thresholds data, minimum threshold data or threshold interval etc., determine accordingly
After component information, can the operation data of each component and threshold data be subjected to analysis comparison, with according to analysis ratio
Relatively result determines whether component operation breaks down.
S1032：If operation data exceeds the range of threshold data, confirm that component operation is broken down；
When it is the range that operation data exceeds threshold data to analyze comparison result, i.e., operation data is likely larger than maximum threshold
Value Data or operation data are less than minimum threshold data etc., and component at this time has exceeded the data area of normal operation, into
And component operation can be confirmed and break down.
It is understood that when analysis comparison result is the range that operation data meets threshold data, then illustrate at this time
Component is in the range of normal operation, thus it is confirmed that the component is breaks down.
S1033：The fault message of component is determined using pre-set fault message storehouse and according to operation data；
Wherein, the correspondence of operation data and fault message is stored in fault message storehouse.
After confirming that component operation is broken down, due to being stored with operation data and fault message in fault message storehouse
Therefore correspondence, can utilize the correspondence to search the fault message of component in fault message storehouse；It should be noted that
The correspondence for being the operation data and fault message stored in fault message storehouse is nonuniformity correspondence, i.e., one is transported
Row data can be corresponding with multiple fault messages, and a fault message can also be corresponding with multiple operation datas；Therefore,
Multiple fault messages of component can be got according to an operation data, which is included in following information at least
One：Failure number, failure cause and fault type.
The automatic fault selftesting method of wind-driven generator provided in this embodiment, by the operation data and the utilization that obtain wind turbine
Data-structure tree can determine component information, and then the failure of the component to break down can be determined according to operation data
At least one of number, failure cause and fault type, significantly reduce the difficulty of fan trouble detection, and reduce pair
The time spent required for wind turbine investigation failure, the detection efficiency to fan trouble is improved, further ensure the failure certainly
The practicability of detection method is conducive to the popularization and application in market.
Fig. 3 is the flow signal for a kind of automatic fault selftesting method of wind-driven generator that another embodiment of the present invention provides
Figure；Fig. 6 is the structure diagram of data-structure tree provided in an embodiment of the present invention；On the basis of above-described embodiment, continue to join
Attached drawing 1-4,6 are examined it is found that the present embodiment is established mode and do not limited for the specific of data-structure tree, those skilled in the art can
To be configured according to specific design requirement, more preferably, determining and running using pre-set data-structure tree
Before the corresponding component information of data, method is set as further including：
S201：Obtain the architectural characteristic information of each component in wind turbine；
Wherein, architectural characteristic information includes connection relation between each component, installation position, function etc.,
After getting architectural characteristic information, can data-structure tree be established according to the architectural characteristic information, in order to what is established
Data-structure tree is corresponding with component each in wind turbine.
S202：The connection relation and class information of each component are determined according to architectural characteristic information；
For the ease of so that data-structure tree is corresponding with each component true in wind turbine, architectural characteristic is being got
After information, the connection relation and class information of each component can be determined according to architectural characteristic information；Wherein, class information
Can analysis acquisition be carried out according to the function and installation position of component.
S203：It is established according to the connection relation of each component and class information corresponding with component each in wind turbine
Data-structure tree.
After connection relation and class information is got, it can be established according to above-mentioned two information and each member in wind turbine
The corresponding data-structure tree of device, in order to clearly understand the technical solution of the present embodiment, enumerates and implements in detail below
Example：
One and the corresponding data-structure tree of electric-control system in wind turbine are established, which is exactly by electric-control system
Divided step by step according to device property, until specific component or unit operation some important parameter；Specifically：Generally
The electric-control system of wind turbine include：Master control system, water-cooling system, pitch-controlled system, converter system, and master control system can be further
Including system on bottom of towe system and tower, further, bottom of towe system can also include bottom of towe UPS, control cabinet, transformer and its
Bottom of towe UPS further, can also be set as including by his communication device etc.：Power supervisor and accumulator etc., because
This, can classify to the structure that master control system refines step by step data information according to above-mentioned, as shown in fig. 6, so that each
A data information is corresponding with specific component, however by being analyzed and determined to data information, it may be determined that it is specific
Which component break down, failure cause and fault type information of failure etc..
By obtaining the architectural characteristic information of each component in wind turbine, each component is determined according to architectural characteristic information
Connection relation and class information, then established according to connection relation and class information corresponding with component each in wind turbine
Data-structure tree, is effectively guaranteed the reliability of data-structure tree foundation, and then improves and utilizing data-structure tree
When being analyzed and processed to fan trouble, each component in wind turbine can be traced back to, further improves automatic fault selftesting side
The detection quality and efficiency of method ensure that the reliability that the automatic fault selftesting method uses.
Fig. 5 is the flow signal for a kind of automatic fault selftesting method of wind-driven generator that further embodiment of this invention provides
Figure；On the basis of above-described embodiment, with continued reference to attached drawing 1-6 it is found that the present embodiment is utilizing pre-set fault message
Library and after the fault message of component is determined according to operation data, method is set as further including：
S301：According to the correspondence of the fault message stored in fault message storehouse and troubleshooting strategy, determine and event
Hinder the corresponding troubleshooting strategy of information；
After fault message is determined, maintenance and management is carried out to the wind turbine of failure in order to further facilitate staff,
The correspondence of fault message and troubleshooting strategy is previously stored in fault message storehouse, it should be noted that the failure
Information and troubleshooting strategy are not one-to-one relationship, i.e. a fault message can correspond to multiple troubleshooting strategies, and
One troubleshooting strategy can correspond to multiple fault messages.
S302：Show fault message and with the corresponding troubleshooting strategy of fault message.
After getting troubleshooting strategy, the failure strategy can be shown, and when the troubleshooting strategy got is
When multiple, arrangement can be carried out to troubleshooting strategy according to preset priority orders and shown, wherein, failure can be solved
The highest troubleshooting strategy of probability shown into row major；Specifically, the troubleshooting strategy can by wireless panel into
Row display, so that user or staff can directly obtain the process analyzed and processed to data information and knot
Fruit, so that user or staff can carry out malfunction elimination operation according to shown troubleshooting strategy, effectively
Ground reduces debugging and the professional skill difficulty of maintenance personnel, and reduces the time of maintenance and management, ensure that wind turbine
Generated energy, and then the practicability of the automatic fault selftesting method is improved, be conducive to the popularization and application in market.
During concrete application, illustrated by taking the selection of the coherent reference variable of UPS as an example below：
After the operation data of wind turbine is got, by the analysis and identification to operation data, specifically, can be by right
Special mark information in operation data is identified, using determine the operation data as with the corresponding data informations of UPS, true
Recognize the operation data be with after the corresponding data informations of UPS, can further be analyzed and processed to the operation data, according to point
Analysis handling result judges whether wind turbine operation troubles occurs, breaks down if confirming, and since master control UPS includes：Power management
Device and accumulator, then the specific master control UPS failure information for confirming wind turbine at this time, judges to learn by analysis, master control UPS events
Barrier is shown as：Power supervisor failure, also, main cabinet UPS battery warning at this time, so as to accurately find failure original
Cause and fault message.
In addition, in order to clearly understand the event that the component to break down is determined according to operation data in the application
Hinder the specific implementation process of information, enumerate specific examples below：
Since operation data includes multiple reference variables, for the ease of analyzing reference variable, can incite somebody to action
Reference variable is divided into including digital data and analog data, and digital data and analog data include phase
Corresponding fault mechanism illustrates information, in order to according to the analytical judgment to reference variable, you can to confirm corresponding trouble point
And corresponding fault message.Specifically：
The characteristic changed first according to digital quantity and analog data, is separated fault mechanism by digital quantity and analog quantity,
It particularly may be divided into following a few classes：
(1) it triggers along class：For the fault mechanism of digital quantity reference variable；
(2) longitudinally varying class：For the fault mechanism of analog quantity reference variable；
(3) cross directional variations class：For the fault mechanism of analog quantity and digital quantity reference variable；
(4) limit value class：For the fault mechanism of analog quantity reference variable.
It should be noted that it is above-mentioned fault parameter is analyzed during, can be adopted according to the classification of parameter amount
With different strategies, such as：Horizontal analysis process can be to be carried out for data amount information of the same parameters on different moments
It analyzes and determines, vertical analysis process is：The data information of different parameters amount is analyzed and determined in synchronization；Limit value class
For：Analysis comparison etc. is carried out to the data information of a certain parameter at a time and preset level threshold value information.
Wherein, it is mainly special to the type for triggering edge and time when analyzing comparison for triggering the data information along class
Property analyzed and determined, for example, can will triggering along be divided into including：Rising edge, failing edge, keep low level, keep high level,
There is no several classes such as state change and rising edge or failing edge, and time response can generally include：It triggers along the retention time, touch
Hair for different types of trigger along data information, is respectively provided with along preceding retention time, triggering along rear retention time etc.
Corresponding different time response parameter, and in analysis, each time response parameter can be provided with preset mark
Quasi- threshold value carries out analysis comparison by the time response parameter and level threshold value that will be acquired, you can according to number of the triggering along class
It is believed that breath determines whether wind turbine breaks down.
And for the data information of longitudinally varying class, it is that time response is analyzed and determined when analyzing comparison,
Wherein longitudinally varying class refers to variation tendency of the same parameters within longitudinal period, therefore, it is necessary to obtain longitudinal period, and can
To obtain the longitudinally varying amount within longitudinal period, by the way that longitudinally varying amount and preset threshold value are carried out analysis comparison, you can
Judge whether wind turbine breaks down according to the data information of the longitudinally varying class；Further, when longitudinally varying amount is 0, then
Longitudinal retention time is obtained, by by longitudinal retention time and preset time threshold analyzing and determining whether judge wind turbine
It breaks down.
And for the data information of cross directional variations class, when analyzing comparison, the data information phase with longitudinally varying class
It is similar, particularly, the data variation amount within the lateral period is analyzed and determined, therefore, it is necessary to get the lateral period,
And cross directional variations amount of each parameter within the lateral period is obtained, by the way that cross directional variations amount and preset threshold value are divided
Analysis comparison, you can judge whether wind turbine breaks down according to the data information of the cross directional variations amount；Further, a certain parameter
When cross directional variations amount is 0, then obtains and laterally retain the time, analyzed by the way that the time will be laterally retained with preset time threshold
Judge, judge whether wind turbine breaks down.
And when being analyzed for restricted data information, each parameter is at runtime there are wind turbine normal at this time
Max-thresholds and minimum threshold during work corresponding to the parameter, therefore, by the data information of the display class and preset maximum
Threshold value and minimum threshold are compared respectively, if being unsatisfactory for preset condition, can determine that wind turbine breaks down.
In addition, when fault message includes the reference variable of multiple classifications, it may for example comprise trigger along class, longitudinally varying class
During with cross directional variations class, when being analyzed and determined to triggering along category information, then the trouble point that can be can confirm that is A and corresponding event
Hinder information A1, when being analyzed and determined to longitudinally varying category information, then the trouble point that can be can confirm that is believed for B and corresponding failure
B1 is ceased, when being analyzed and determined to cross directional variations category information, then the trouble point that can be can confirm that is C and corresponding fault message
C1, then when showing fault message, then trouble point A/B/C and corresponding fault message can be shown, i.e.,：It obtains
Trouble point may more than one, if several fault parameters all meet its own fault mechanism, in fact it could happen that various faults point
Analysis is as a result, it is desirable to which user investigates trouble point successively.
The structure (hereinafter referred to as mechanism attribute structure body) that a data change to attributes is all corresponded to per one kind mechanism is as follows
Shown in table 1；
1 mechanism attribute structure body of table：
After characteristic (the determining digital quantity or analog data) for determining operation data, according to above-mentioned corresponding
Analytic process analyzes and processes data information, to judge whether wind turbine breaks down, in addition, for the above-mentioned lateral period
It is not limited with the specific time length in longitudinal period, those skilled in the art can be set according to specific design requirement
Put, wherein, more preferably, longitudinal period and lateral period can be set as must be 20ms integral multiple, to improve pair
The accuracy that data information is analyzed and determined.
Further, for triggering along the operation data of class, the relevant information of failing edge can be obtained, it is specific to believe
Breath sees below table：
Table 2：Failing edge triggers case
Fault mechanism explanation：If after being analyzed and processed to data information, find switch feedback dropout or
After shaking (failing edge), the retention time is more than Ts, and T can take 10s, 15s or 20s etc.；It can then determine that " XXX fuses are anti-
Feedback loss " failure has occurred, then fault mechanism output, which is triggered along failure number and failure cause, is：
1：XXX is spaced apart feedback failure；
2：Digital module damages；
3：Feedback signal line damages.
Pass through determining fault message, it may be determined that corresponding troubleshooting strategy, specifically, corresponding failure explanation and
Processing method：
1：Inspection be spaced apart XXX whether tripping, if whether the contact lug for checking feedback contact XXX without tripping loosens,
And contact normal condition is closed state, whether backfeed loop wiring loosens.
2：If measuring 1 port of substation times good fortune digital quantity input module there are 24VDC, and failure can not reset, explanation
Digital quantity input module damages, and please replace this module.
3：If being spaced apart the contact lug of XXX, there is no problem and there are 24VDC, substation times good fortune digital quantity input module
24VDC is not present in 1 port, illustrates that feedback signal line damages, please search cable damage point.
At this point, user or staff can be handled Wind turbines according to shown troubleshooting strategy, with
Cause wind turbine working condition back to normal.
In addition, for triggering along the operation data of class, the relevant information on drop edge can be obtained, specific information is shown in
Following table：
Table 3：Rising edge triggers case
Fault mechanism explanation：If after being analyzed and processed to data information, discovery low voltage crossing flag bit (on
Rise edge) after triggering, the retention time is more than T1s, and T1 can take 2s, 3s or 4s etc., then can determine that " voltage is low " failure is sent out
It is raw, then fault mechanism output is triggered along trouble point：
Voltage ride-through failure.
Pass through determining trouble point and fault message, it may be determined that corresponding troubleshooting strategy, specifically, accordingly
Failure illustrates and processing method：If the Voltage Drop time is more than limit value T1s (such as 2s), unit can not be completed to pass through；Or
There is when passing through of continuous low-voltage in person, causes low voltage crossing that can not complete, the low failure of unit report network voltage.
It should be noted that content, which is not done, to be judged for other kinds of fault message and the specific of troubleshooting strategy
Limit, those skilled in the art can be configured according to specific design requirement or can also it is identical with above table or
Similar mode is configured fault message and troubleshooting strategy, and details are not described herein.
Finally, identified fault message and troubleshooting strategy are shown, such as is shown according to above table
Show, so that user or staff can be handled Wind turbines according to shown troubleshooting strategy, so that
Wind turbine working condition back to normal, and then the efficiency of fault message lookup is effectively improved, it ensure that the stabilization of fan operation
Reliability.
Fig. 7 is a kind of structure diagram of the failure self-testing device of wind-driven generator provided in an embodiment of the present invention, is joined
Attached drawing 7 is examined it is found that present embodiments providing a kind of failure self-testing device of wind-driven generator, which can be with
Automatic fault selftesting method is performed to wind turbine, specifically, the failure self-testing device includes：
Acquisition module 1, for after fan operation breaks down, obtaining the operation data of wind turbine；
Wherein, the operation data of wind turbine includes：Before fan operation failure, before the failure in the first preset time period
Operation data and fan operation failure after, operation data after the failure in the second preset time period.
Processing module 2, for determining that component corresponding with operation data is believed using pre-set data-structure tree
Breath；
The present embodiment determines and operation data corresponding member processing module 2 using pre-set data-structure tree
The specific implementation of device information does not limit, and those skilled in the art can be configured according to specific design requirement,
It is more preferred, processing module 2 is set as being specifically used for：
Obtain pre-set identification information in operation data；
It is according to identification information and corresponding with component information using the identification information stored in data-structure tree
It closes, determines and the corresponding component information of operation data.
Determining module 3, for the component in identified component information, determining to break down according to operation data
Fault message, fault message includes at least one of following information：Failure number, failure cause and fault type.
The present embodiment determines determining module 3 according to operation data the specific of the fault message of the component of failure
Realization method does not limit, and those skilled in the art can be configured according to specific design requirement, more preferably, will fill
It installs to be set to and further include：Fault message storehouse 6, for being stored with the correspondence of operation data and fault message；
Further, determining module 3 is set as being specifically used for：
Operation data and pre-set threshold data are subjected to analysis comparison；
If operation data exceeds the range of threshold data, confirm that component operation is broken down；
The fault message of component is determined using pre-set fault message storehouse 6 and according to operation data；
Wherein, the correspondence of operation data and fault message is stored in fault message storehouse 6.
The present embodiment does not limit the concrete shape structure of acquisition module 1, processing module 2 and determining module 3, this
Field technology personnel can be configured according to specific design requirement, and details are not described herein；In addition, mould is obtained in the present embodiment
The specific implementation process and realization effect of the operating procedure that block 1, processing module 2 and determining module 3 are realized and above-mentioned reality
It applies the specific implementation process of S101-S103, S1021-S1022, S1031-S1033 in example and realizes that effect is identical, specifically may be used
With reference to above statement content, details are not described herein.
The failure self-testing device of wind-driven generator provided in this embodiment is obtained by acquisition module 1 and processing module 2
The operation data of wind turbine simultaneously can determine component information, and then determining module 3 can be according to operation number using data-structure tree
At least one of failure number, failure cause and fault type of component according to determining failure, are effectively reduced
The difficulty of fan trouble detection, and reduce and the time spent required for failure is investigated to wind turbine, it improves to fan trouble
Detection efficiency, further ensure the practicability of the failure self-testing device, be conducive to the popularization and application in market.
On the basis of above-described embodiment, with continued reference to attached drawing 7 it is found that the present embodiment builds the specific of data-structure tree
Cube formula does not limit, and those skilled in the art can be configured according to specific design requirement, more preferably, will obtain
Module 1 and processing module 2 are set as that following operation can be performed：Specifically,
Acquisition module 1 is additionally operable to determine and the corresponding first device of operation data using pre-set data-structure tree
Before part information, the architectural characteristic information of each component in wind turbine is obtained；
Processing module 2 is additionally operable to determine the connection relation and class information of each component according to architectural characteristic information；
Further, device is set as further including；
Module 4 is established, is established and first device each in wind turbine for the connection relation according to each component and class information
The corresponding data-structure tree of part.
The present embodiment is not limited for establishing the concrete shape structure of module 4, and those skilled in the art can be according to tool
The design requirement of body is configured, and details are not described herein；In addition, acquisition module 1, processing module 2 and foundation in the present embodiment
The specific implementation process of the operating procedure that module 4 is realized and realize effect in above-described embodiment S201-S203 it is specific
Realization process and realization effect are identical, specifically refer to above statement content, details are not described herein.
On the basis of above-described embodiment, with continued reference to attached drawing 7 it is found that processing module 2 is set as by the present embodiment：
According to the correspondence of the fault message stored in fault message storehouse 6 and troubleshooting strategy, determine to believe with failure
The corresponding troubleshooting strategy of manner of breathing；
Further, device is set as further including：
Display module 5, for show fault message and with the corresponding troubleshooting strategy of fault message.
The present embodiment does not limit the concrete shape structure of display module 5, and those skilled in the art can be according to tool
The design requirement of body is configured, such as display module 5 can be set as to display circle of display screen, intelligent terminal or terminal
Face etc., as long as display relevant information can be realized, details are not described herein；In addition, in the present embodiment processing module 2 and
The specific implementation process and realization effect for the operating procedure that display module 5 is realized and S301-S302 in above-described embodiment
Specific implementation process and realization effect are identical, specifically refer to above statement content, details are not described herein.
In several embodiments provided by the present invention, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of unit, only
A kind of division of logic function, can there is an other dividing mode in actual implementation, for example, multiple units or component can combine or
Person is desirably integrated into another system or some features can be ignored or does not perform.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be INDIRECT COUPLING or communication link by some interfaces, device or unit
It connects, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separate, be shown as unit
Component may or may not be physical unit, you can be located at a place or can also be distributed to multiple networks
On unit.Some or all of unit therein can be selected according to the actual needs to realize the purpose of this embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
That each unit is individually physically present, can also two or more units integrate in a 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 hardware adds SFU software functional unit.
The above-mentioned integrated unit realized in the form of SFU software functional unit, can be stored in one and computer-readable deposit
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, is used including some instructions so that a computer
It is each that equipment (can be personal computer, server or the network equipment etc.) or processor (processor) perform the present invention
The part steps of embodiment method.And aforementioned storage medium includes：USB flash disk, mobile hard disk, read-only memory (Read-Only
Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. are various to deposit
Store up the medium of program code.
Those skilled in the art can be understood that, for convenience and simplicity of description, only with above-mentioned each function module
Division progress for example, in practical application, can be complete by different function modules by above-mentioned function distribution as needed
Into the internal structure of device being divided into different function modules, to complete all or part of function described above.On
The specific work process of the device of description is stated, the corresponding process in preceding method embodiment can be referred to, details are not described herein.
Finally it should be noted that：The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe is described in detail the present invention with reference to foregoing embodiments, it will be understood by those of ordinary skill in the art that：Its according to
Can so modify to the technical solution recorded in foregoing embodiments either to which part or all technical features into
Row equivalent replacement；And these modifications or replacement, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (11)
1. a kind of automatic fault selftesting method of wind-driven generator, which is characterized in that including：
After fan operation failure, the operation data of the wind turbine is obtained；
It is determined and the corresponding component information of the operation data using pre-set data-structure tree；
In identified component information, according to the fault message for the component that the operation data determines to break down, institute
It states fault message and includes at least one of following information：Failure number, failure cause and fault type.
2. according to the method described in claim 1, it is characterized in that, the operation data of the wind turbine includes：It is transported in the wind turbine
Row break down before, before the failure in the first preset time period operation data and the fan operation failure after, second
Operation data after failure in preset time period.
3. it according to the method described in claim 1, it is characterized in that, is determined and the fortune using pre-set data-structure tree
The corresponding component information of row data, specifically includes：
Obtain pre-set identification information in the operation data；
According to the identification information and utilize the identification information and pair of component information stored in the data-structure tree
It should be related to, determine and the corresponding component information of the operation data.
4. method according to any one of claim 1-3, which is characterized in that utilizing pre-set data-structure tree
Before the determining and corresponding component information of the operation data, the method further includes：
Obtain the architectural characteristic information of each component in the wind turbine；
The connection relation and class information of each component are determined according to the architectural characteristic information；
It is established according to the connection relation of each component and class information corresponding with component each in the wind turbine
The data-structure tree.
5. the according to the method described in claim 4, it is characterized in that, component for determining to break down according to the operation data
Fault message, specifically include：
The operation data and pre-set threshold data are subjected to analysis comparison；
If the operation data exceeds the range of the threshold data, confirm that the component operation is broken down；
The fault message of the component is determined using pre-set fault message storehouse and according to the operation data；
Wherein, the correspondence of operation data and fault message is stored in the fault message storehouse.
6. according to the method described in claim 5, it is characterized in that, using pre-set fault message storehouse and according to institute
After stating the fault message that operation data determines the component, the method further includes：
According to the correspondence of the fault message stored in the fault message storehouse and troubleshooting strategy, determine and the failure
The corresponding troubleshooting strategy of information；
Show the fault message and with the corresponding troubleshooting strategy of the fault message.
7. a kind of failure self-testing device of wind-driven generator, which is characterized in that including：
Acquisition module, for after fan operation breaks down, obtaining the operation data of the wind turbine；
Processing module, for determining that component corresponding with the operation data is believed using pre-set data-structure tree
Breath；
Determining module, for the component in identified component information, determining to break down according to the operation data
Fault message, the fault message includes at least one of following information：Failure number, failure cause and fault type.
8. device according to claim 7, which is characterized in that the processing module is specifically used for：
Obtain pre-set identification information in the operation data；
According to the identification information and utilize the identification information and pair of component information stored in the data-structure tree
It should be related to, determine and the corresponding component information of the operation data.
9. device according to claim 7 or 8, which is characterized in that
The acquisition module is additionally operable to determine and the corresponding member of the operation data using pre-set data-structure tree
Before device information, the architectural characteristic information of each component in the wind turbine is obtained；
The processing module is additionally operable to determine the connection relation of each component and rank letter according to the architectural characteristic information
Breath；
Described device further includes；
Module is established, is established and each member in the wind turbine for the connection relation according to each component and class information
The corresponding data-structure tree of device.
10. device according to claim 9, which is characterized in that further include：Fault message storehouse, for being stored with operation number
According to the correspondence with fault message；
The determining module, is specifically used for：The operation data and pre-set threshold data are subjected to analysis comparison；If institute
The range that operation data exceeds the threshold data is stated, then confirms that the component operation is broken down；Believed using the failure
Breath library and the fault message that the component is determined according to the operation data.
11. device according to claim 10, which is characterized in that
The processing module is additionally operable to corresponding with troubleshooting strategy according to the fault message stored in the fault message storehouse
Relationship determines and the corresponding troubleshooting strategy of the fault message；
Described device further includes：
Display module, for show the fault message and with the corresponding troubleshooting strategy of the fault message.
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| CN201611148516.6A CN108226775B (en) | 2016-12-13 | 2016-12-13 | Fault self-detection method and device of wind driven generator |
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