CN103344435B - The diagnostic method of Wind turbines duty, Apparatus and system - Google Patents
The diagnostic method of Wind turbines duty, Apparatus and system Download PDFInfo
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- CN103344435B CN103344435B CN201310258171.XA CN201310258171A CN103344435B CN 103344435 B CN103344435 B CN 103344435B CN 201310258171 A CN201310258171 A CN 201310258171A CN 103344435 B CN103344435 B CN 103344435B
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Abstract
The invention discloses the diagnostic method of a kind of Wind turbines duty, Apparatus and system.Wherein, the method includes: obtaining the diagnosis data of Wind turbines, wherein, diagnosis data include oil analysis data and the attribute data of Wind turbines of Wind turbines；Diagnostic result according to diagnosis data with the state data acquisition Wind turbines duty preset.Pass through the present invention, achieve each parts fretting wear situation of Accurate Diagnosis, early warning Wind turbines, solve and be only capable of detecting lubricating oil state and cannot obtain the problem of blower fan state of wear, provide reliable basis for maintenance before fault, improve blower fan reliability, ensure that fan safe is run.
Description
Technical field
The present invention relates to air-blower control field, in particular to the diagnostic method of a kind of Wind turbines duty, device and
System.
Background technology
Along with growing to even greater heights and energy shortage, the sternness increasingly of the energy safety of supply situation of whole world reply climate change cry,
Wind-powered electricity generation is as regenerative resource with its cleaning, safety, forever continuous feature, and the status in various countries' energy strategy improves constantly.So
And along with wind-powered electricity generation installation being continuously increased of scale, large-scale wind electricity unit has a very wide distribution in addition, the weather temperature difference is big, maintenance difficult,
Residing inclement condition, Wind Power Development also occurs in that some new problems and challenge, and outstanding behaviours is that the repair and maintenance of Wind turbines becomes
Bottleneck for its reliability service.Relevant information shows that the abuse of 60%-80% is caused by various forms of abrasions, because of
This equipment wearing fault diagnosis occupies status of crucial importance in whole mechanical fault diagnosis field.
For most plant equipment, lubricating system is requisite ingredient.In lubricating system, flowing
Lubricating oil in addition to there is the functions such as lubrication, cooling, when also interacting with mechanical friction pair produce the tiny abrasion of many
Grain, these wear particles are at the effect low suspension of lubricating system in lubricating oil, and it contains the important information of equipment attrition state.
Effectively analyze the kind of these wear particles, quantity and Changing Pattern thereof, it is possible to judge the abrasion of machine components friction pair
State, and then equipment attrition state is made diagnosis early warning.If lubricating oil being compared to " blood " of plant equipment, then fluid
Analytical technology and " blood test " medically have similarity.Oil analyzing technology is by analyzing monitored equipment lubrication
Performance change and its of oil carry the information of wear particle, it is thus achieved that the lubrication of plant equipment Tribological Systems and state of wear, thus
A bridge block is set up between the status monitoring and maintenance management of equipment.
Periodic detection used-oil in wind energy turbine set regular maintenance belonging to Ge great energy group of China, but lubricating oil testing agency at present
Lubricating oil detection analytical data is only provided, and there is no the actual motion environment for each wind electric field blower, blower fan type, design knot
Structure, parts material carry out the function of blower fan wear-out diagnosis early warning, and this meaning making used-oil detection analyze is had a greatly reduced quality.
The problem of blower fan state of wear cannot be obtained for prior art being only capable of detect lubricating oil state, the most not yet propose effectively
Solution.
Summary of the invention
It is only capable of detecting lubricating oil state for correlation technique and cannot obtain the problem of blower fan state of wear, the most not yet propose effective
Solution, provides diagnostic method, the device of a kind of Wind turbines duty to this end, present invention is primarily targeted at and is
System, to solve the problems referred to above.
To achieve these goals, according to an aspect of the invention, it is provided the diagnostic method of a kind of Wind turbines duty,
The method, including: obtain Wind turbines diagnosis data, wherein, diagnosis data include Wind turbines oil analysis data and
The attribute data of Wind turbines；Diagnostic result according to diagnosis data with the state data acquisition Wind turbines duty preset.
Further, status data includes wear data, wherein, according to diagnosis data and the state data acquisition wind turbine preset
The step of diagnostic result of group duty includes: compares diagnosis data and wear data and obtains diagnosing the phase of data and wear data
Like degree；Obtain the evaluating data corresponding with similarity；Data, similarity, evaluating data, diagnosis data and similarity will be diagnosed
Between the first corresponding relation, similarity and evaluating data between the second corresponding relation and diagnosis data and evaluating data between
The 3rd corresponding relation as diagnostic result.
Further, status data includes lubrication mechanism data, wherein, according to diagnosis data and the state data acquisition wind preset
The step of the diagnostic result of group of motors duty includes: use lubrication mechanism data that diagnosis data are replaced computation of Period,
To obtain the oil change data of Wind turbines and by oil change data as diagnostic result.
Further, oil analysis data include: abrasion analysis data and analysis of oil data, wherein, obtain Wind turbines
The step of diagnosis data includes: obtain the lubricating oil sampled data of Wind turbines；Lubricating oil sampled data is carried out atomic emissions light
Analysis of spectrum and particle size analysis obtain abrasion analysis data；And lubricating oil sampled data is carried out oil property analysis and oil product reason
Change index analysis and obtain analysis of oil data.
Further, before obtaining the diagnosis data of Wind turbines, method also includes: acquisition attributes data, wherein, and attribute
Data include: categorical data, structured data, parts material quality data and running environment data；By categorical data, structured data,
Parts material quality data and running environment data are saved into data base.
Further, after the diagnostic result according to diagnosis data and default state data acquisition Wind turbines duty,
Method also includes: be saved in data base by diagnostic result, and exports diagnostic result.
To achieve these goals, according to a further aspect in the invention, it is provided that the diagnostic equipment of a kind of Wind turbines duty,
This device includes: the first acquisition module, and for obtaining the diagnosis data of Wind turbines, wherein, diagnosis data include Wind turbines
Oil analysis data and the attribute data of Wind turbines；First processing module, for according to diagnosis data and the status number preset
According to the diagnostic result obtaining Wind turbines duty.
Further, the first processing module includes: the first comparison module, is used for comparing diagnosis data and is diagnosed with wear data
Data and the similarity of wear data；First sub-acquisition module, for obtaining the evaluating data corresponding with similarity；At first son
Reason module, for by diagnosis data, similarity, evaluating data, the first corresponding relation between diagnosis data and similarity, phase
Like the 3rd corresponding relation between the second corresponding relation spent between evaluating data and diagnosis data and evaluating data as diagnosis
As a result, wherein, status data includes wear data.
Further, the first processing module includes: the first computing module, is used for using lubrication mechanism data to carry out diagnosis data
Replacement cycle calculates, to obtain the oil change data of Wind turbines, and using oil change data as diagnostic result, its
In, status data includes lubrication mechanism data.
Further, the first acquisition module includes: the second sub-acquisition module, for obtaining the lubricating oil sampled data of Wind turbines；
Second sub-processing module, is used for that lubricating oil sampled data is carried out Atomic Emission Spectral Analysis and particle size analysis obtains abrasion analysis
Data；And the 3rd sub-processing module, for lubricating oil sampled data being carried out oil property analysis and oil product physical and chemical index analysis
Obtaining analysis of oil data, wherein, oil analysis data include: abrasion analysis data and analysis of oil data.
Further, device also includes: acquisition module, and for acquisition attributes data, wherein, attribute data includes: number of types
According to, structured data, parts material quality data and running environment data；Second processing module, for by categorical data, structure number
It is saved into data base according to, parts material quality data and running environment data.
Further, device also includes: the 3rd processing module, for being saved in data base by diagnostic result, and exports diagnosis
Result.
To achieve these goals, according to a further aspect in the invention, it is provided that the diagnostic system of a kind of Wind turbines duty,
This system includes the diagnostic equipment of Wind turbines duty.
By the present invention, use the present invention, obtained oil analysis data and the Wind turbines of Wind turbines by the first acquisition module
Attribute data, using above two data as diagnosis data, then use the first processing module according to diagnosis data with preset
The diagnostic result of state data acquisition Wind turbines duty.Can be by the oil analysis data of Wind turbines and attribute number
Diagnose according to the duty of Wind turbines, solve and prior art is only capable of detect lubricating oil state cannot obtain blower fan mill
The problem of damage state, by monitoring the continuous data spot lubrication of Wind turbines, it is achieved that Accurate Diagnosis, early warning Wind turbines
Each parts fretting wear situation, solves and is only capable of detecting lubricating oil state and cannot obtain the problem of blower fan state of wear, before fault
Maintenance provides reliable basis, improves blower fan reliability, ensures that fan safe is run, reduces non-programmed halt, and then realize wind field
The systematization of blower fan, standardization lubricating management, for " the Reduction of Students' Study Load of wind-powered electricity generation operator.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, and the present invention shows
Meaning property embodiment and explanation thereof are used for explaining the present invention, are not intended that inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the structural representation of the diagnostic equipment of Wind turbines duty according to embodiments of the present invention；
Fig. 2 is the flow chart of the diagnostic method of Wind turbines duty according to embodiments of the present invention；
Fig. 3 is the schematic diagram of the blower fan management data cell according to embodiment illustrated in fig. 2；
Fig. 4 is the schematic diagram of the sample information according to embodiment illustrated in fig. 2；
Fig. 5 is the Organization Chart of the diagnostic method of the Wind turbines duty according to embodiment illustrated in fig. 2；
Fig. 6 is the schematic diagram of the warning data according to embodiment illustrated in fig. 2；
Fig. 7 is the schematic diagram of the diagnosis data obtaining Wind turbines according to embodiment illustrated in fig. 2；And
Fig. 8 is the schematic diagram of the diagnostic result according to embodiment illustrated in fig. 2.
Detailed description of the invention
It should be noted that in the case of not conflicting, the embodiment in the application and the feature in embodiment can be mutually combined.
Describe the present invention below with reference to the accompanying drawings and in conjunction with the embodiments in detail.
Fig. 1 is the structural representation of the diagnostic equipment of Wind turbines duty according to embodiments of the present invention.As it is shown in figure 1,
This device may include that the first acquisition module 10, and for obtaining the diagnosis data of Wind turbines, wherein, diagnosis data include wind
The oil analysis data of group of motors and the attribute data of Wind turbines；First processing module 30, for according to diagnosing data and presetting
The diagnostic result of state data acquisition Wind turbines duty.
Use the present invention, obtained oil analysis data and the attribute data of Wind turbines of Wind turbines by the first acquisition module,
Using above two data as diagnosis data, then use the first processing module according to diagnosis data and the state data acquisition preset
The diagnostic result of Wind turbines duty.Can by the oil analysis data of Wind turbines and attribute data to Wind turbines
Duty diagnose, solve and prior art is only capable of detect lubricating oil state cannot obtain the problem of blower fan state of wear,
By the continuous data spot lubrication of Wind turbines is monitored, it is achieved that Accurate Diagnosis, each parts fretting wear of early warning Wind turbines
Situation, solves and is only capable of detecting lubricating oil state and cannot obtain the problem of blower fan state of wear, provide for maintenance before fault and reliably depend on
According to, improve blower fan reliability, ensure fan safe run, reduce non-programmed halt, and then realize wind field blower fan systematization,
Standardization lubricating management, " lightens the burden " for wind-powered electricity generation operator.
According to the abovementioned embodiments of the present invention, the first processing module 30 may include that the first comparison module, is used for comparing diagnosis number
Obtain diagnosing the similarity of data and wear data according to wear data；First sub-acquisition module is corresponding with similarity for obtaining
Evaluating data；First sub-processing module, for will diagnosis data, similarity, evaluating data, diagnosis data and similarity it
Between the first corresponding relation, similarity and evaluating data between the second corresponding relation and diagnosis data and evaluating data between
3rd corresponding relation is as diagnostic result, and wherein, status data includes wear data.
In the above embodiment of the present invention, the first processing module 30 may include that the first computing module, is used for using lubricating machine
Reason data are replaced computation of Period, to obtain the oil change data of Wind turbines, and by oil change to diagnosis data
Data are as diagnostic result, and wherein, status data includes lubrication mechanism data.
According to the abovementioned embodiments of the present invention, the first acquisition module may include that the second sub-acquisition module, is used for obtaining wind turbine
The lubricating oil sampled data of group；Second sub-processing module, for lubricating oil sampled data carried out Atomic Emission Spectral Analysis and
Grain size analysis obtains abrasion analysis data；And the 3rd sub-processing module, divide for lubricating oil sampled data is carried out oil property
Analysis and oil product physical and chemical index analysis obtain analysis of oil data, and wherein, oil analysis data include: abrasion analysis data and oil product
Analytical data.
In the above embodiment of the present invention, device can also include: acquisition module, for acquisition attributes data, wherein, belongs to
Property data include: categorical data, structured data, parts material quality data and running environment data；Second processing module, is used for
Categorical data, structured data, parts material quality data and running environment data are saved into data base.
According to the abovementioned embodiments of the present invention, device can also include: the 3rd processing module, for diagnostic result is saved in number
According in storehouse, and export diagnostic result.
Present invention also offers the diagnostic system of a kind of Wind turbines duty, any one wind in above-described embodiment can be included
The diagnostic equipment of group of motors duty.
Use the present invention, obtained oil analysis data and the attribute data of Wind turbines of Wind turbines by the first acquisition module,
Using above two data as diagnosis data, then use the first processing module according to diagnosis data and the state data acquisition preset
The diagnostic result of Wind turbines duty.Can by the oil analysis data of Wind turbines and attribute data to Wind turbines
Duty diagnose, solve and prior art is only capable of detect lubricating oil state cannot obtain the problem of blower fan state of wear,
By the continuous data spot lubrication of Wind turbines is monitored, it is achieved that Accurate Diagnosis, each parts fretting wear of early warning Wind turbines
Situation, solves and is only capable of detecting lubricating oil state and cannot obtain the problem of blower fan state of wear, provide for maintenance before fault and reliably depend on
According to, improve blower fan reliability, ensure fan safe run, reduce non-programmed halt, and then realize wind field blower fan systematization,
Standardization lubricating management, for " the Reduction of Students' Study Load of wind-powered electricity generation operator.
Can design from Wind turbines for blower fan unit manufacturing enterprise native system, bench test is incorporated into the power networks to installation, implements complete
The tracking and monitoring of flow process, the oil liquid detection data base of Erecting and improving, carry out equipment running status by platform diagnosis warning function
Judge, the maintenance in advance of fault can be realized, be substantially reduced maintenance of equipment rate, be that the design of blower fan proposes to rationalize rectification side simultaneously
Case.
Fig. 2 is the flow chart of the diagnostic method of Wind turbines duty according to embodiments of the present invention, the method as shown in Figure 2
Comprise the steps:
Step S102, obtain Wind turbines diagnosis data, wherein, diagnosis data include Wind turbines oil analysis data and
The attribute data of Wind turbines.
Step S104, according to the diagnostic result of diagnosis data with the state data acquisition Wind turbines duty preset.
Use the present invention, obtain oil analysis data and the attribute data of Wind turbines of Wind turbines, above two data are made
For diagnosing data, then according to the diagnostic result of diagnosis data with the state data acquisition Wind turbines duty preset.Permissible
By the duty of Wind turbines is diagnosed by the oil analysis data of Wind turbines and attribute data, solve existing skill
Art is only capable of detect lubricating oil state and cannot obtain the problem of blower fan state of wear, by the continuous data spot lubrication to Wind turbines
Monitoring, it is achieved that Accurate Diagnosis, each parts fretting wear situation of early warning Wind turbines, solves and is only capable of detecting lubricating oil state
The problem that cannot obtain blower fan state of wear, provides reliable basis for maintenance before fault, improves blower fan reliability, ensures blower fan peace
Row for the national games, reduces non-programmed halt, and then realizes the systematization of wind field blower fan, standardization lubricating management, and for wind-powered electricity generation, operator " subtracts
Negative ".
Data are detected in this embodiment, with reference to the gear-box etc. of Wind turbines according to substantial amounts of Wind turbines used-oil
Both are combined and analyze abrasion duty and the state in lubricating oil use cycle of Wind turbines by property parameters, it is possible to
Progressively it is adjusted selfreparing, to ensure the science of diagnosis, reasonability and the accuracy to Wind turbines, such that it is able to carry
The reliability of the equipment of high Wind turbines, extends the service life of machine, reduces the maintenance cost of equipment.
Wherein, the attribute data of the oil analysis data in above-described embodiment and Wind turbines all can be saved in a default wind
In machine data base.This blower fan data base can include three parts: blower fan manages data cell, oil analysis data cell and examines
Disconnected result data unit.
The most specifically, in blower fan management data cell, in units of wind energy turbine set, data attribute shelves can be set up for each Wind turbines
Case, this data cell can include the geographical position of wind energy turbine set actual motion and natural environment, blower fan type, design structure,
Parts material etc..As it is shown on figure 3, the user interface that this figure is blower fan management data cell, this interface shows high mountain
Sub-wind energy turbine set, abundant north wind electric field and operator's (Huaneng Group new forms of energy) of evident north wind electric field, wind field scale (10,20,40),
The wind field information such as geographical position (Fuxin), blower fan quantity (66,132,264) and grid-connected time；Choose in figure 3
In the case of evident north wind electric field, it is also possible to display, blower fan type, blower fan numbering and the blower fan information such as enabling time.Above-mentioned reality
Execute, between the blower fan information in example, there is relation one to one, obtaining the attribute data of Wind turbines when, can pass through
Corresponding relation in blower fan management data cell gets user and carries out the attribute data needed for Wind turbines diagnosis.
Owing to some area topography and geomorphology of China, climate characteristic have specific characteristics compared with Europe, normal to the gear-box of standard design
Operation has certain impact.China's wind energy turbine set majority is in mountain area or hilly country, especially southeastern coast and island, with a varied topography
Cause air-flow by influence of topography generation distortion, thus produce on wind wheel, in addition to level flows, also have radial air flow component.China's phase
When the gust wind factor impact of part area air-flow is relatively big, for Wind turbines machine driving power system, often occur more than it
The situation of design limit condition.As the device-gear-box of transmission power, due to the unstability of air-flow, cause gear-box long-term
It is under the alternate load of complexity and works.Owing to equipment is arranged on tens meters of high-altitudes, it is impossible to easily deliver to factory's maintenance, because of
This often carries out oil state and monitors and can pinpoint the problems in time, processes in time, it is also possible to analyze failure symptom, in order in time
Arrange maintenance.
China's wind energy turbine set is concentrated mainly on " three northern areas of China ", and winter temperature is the lowest, and extreme (in short-term) lowest temperature of some wind fields reaches
Less than-40 DEG C, and the design minimum operation temperature of wind power generating set is more than-20 DEG C, indivedual low temperature wind-driven generator groups are
Low can reach-30 DEG C.If run at low temperatures for a long time, by damaging the parts in wind power generating set, such as gear-box.Therefore
Gear-box must be heated.Gear-box is heated and is because when the wind speed long period is relatively low or during blowing-out, gear oil can be the lowest because of temperature
And become the thickest, especially take splash lubrication position, it is impossible to sufficiently lubricated, cause gear or bearing to lack profit in short-term
Slide and damage.If cabin temperature is the lowest, then in pipeline, lubricating oil also can flow the most smooth problem, so works as gear
Case oil can not arrive radiator by pipeline, and gear oil temperature can increase continuously until shutdown.
Therefore, the blower fan in the present invention manages in data cell and also includes that the geographical position for domestic wind energy turbine set, weather etc. run
Environment and blower fan type, the design feature such as structure, parts material constitute attribute data.
In the above embodiment of the present invention, oil analysis data and oil analysis can be stored in oil analysis data cell
Corresponding relation between data and attribute data.
Wherein, oil analysis data can include sample essential information and sample detecting analytical data.User can be when different
Section carries out multiple repairing weld to same Wind turbines, obtains multiple sample information, and each sample essential information has and corresponds
The unique number of Wind turbines, this numbering can be pointed to corresponding relation unique with Wind turbines, also may be used in sample essential information
To include the source-information of sample, wherein, sample can be lubricating oil.
Fig. 4 shows the particular content of a sample information: sample information, analyze information, spectral information, granularity information,
Performance indications and conventional index.Wherein, sample information may include that sampling time, the oil sample trade mark, sample number into spectrum (are
Above-mentioned unique number), run time, sampling people, sampling quantity, the last oil changing interval；Conventional index may include that viscous
Degree, acid number, moisture, colourity and pour point；Performance indications may include that pentane insolubes, copper corrosion, spumescence and
Bearing capacity；Spectral information may include that phosphorus, silver, aluminum, boron, barium, cadmium, chromium, copper, note, magnesium, manganese, molybdenum, sodium,
The spectral information of nickel, lead, silicon, stannum, titanium, vitriol, zinc, antimony and potassium etc..
A unit can also be included: diagnostic result data cell in data base.Specifically, can be by diagnosis data
Analysis obtains analytical data (can obtain analytical data by the comparison with the operating state data that prestores in data base), and obtains
The diagnostic result (in this data can also include diagnostic recommendations) corresponding with analytical data, the analytical data obtained during analysis
And the data of the diagnostic result obtained after analyzing can be saved in this unit.
Wherein, the data inputting of the data base in above-described embodiment all can have been come by human-computer interaction module, and user can pass through
Data in data base are added by human-computer interaction module, inquire about, revise and the operation such as renewal.
According to the abovementioned embodiments of the present invention, status data can include wear data, wherein, according to diagnosis data with preset
The step of the diagnostic result of state data acquisition Wind turbines duty may include that comparing diagnosis data obtains with wear data
Diagnosis data and the similarity of wear data；Obtain the evaluating data corresponding with similarity；Will diagnosis data, similarity, evaluation
Data, diagnosis data and similarity between the first corresponding relation, similarity and evaluating data between the second corresponding relation and
The 3rd corresponding relation between diagnosis data and evaluating data is as diagnostic result.
Wherein, evaluating data can be wear evaluation data.
Specifically, analysis can be compared according to the diagnosis data that abrasion analysis data and attribute data form with wear data,
Obtain wear evaluation data.
Specifically, as it is shown in figure 5, can also include expert knowledge library in this embodiment, expert knowledge library can structure in advance
The expertise that the expression changed has learned that, and, as it is shown in figure 5, the data of the diagnostic result obtained can also be by learning by oneself
Habit mechanism is saved in expert knowledge library, to improve or to adjust the data of expert knowledge library, in order to next time calls expert knowledge library
In data time can recall more perfect and data exactly, so that analysis result is the most accurate.
Wherein, knowledge base specifically can preserve following data: the Heuristics of (1) Wind turbines monitoring.In oil analysis intelligence
Can diagnose in early warning specialist system, the experience of expert's accumulation medium-term and long-term to oil analysis and some the actual cognition in monitoring are all
Belong to this kind of knowledge；(2) structural principle of Wind turbines.Owing to blower fan structure is complicated, in this class representation of knowledge, need
The structure of blower fan is finely divided, and is divided into the aspect such as structure type and structure composition；(3) Wind turbines main friction pairs material.
The main friction pairs of blower fan is the main source of metallic element in fluid, therefore, understand the numbering of friction pair, quantity, type and
Element constitutes most important；(4) abrasion mechanism of Wind turbines.When blower fan actual motion, the abrasion mechanism of friction pair compares
Complexity, understands its friction, abrasion and lubrication mechanism, has important effect to preferably carrying out expressing for knowledge；(5) fluid
The concentration of element analyzed and graded index.In oil analysis, typically metallic element is investigated, calculate respective concentration and
Variable gradient.Through the process of mathematical model, calculate the boundary value index of each element.
Specifically, diagnostic result can be obtained by the processor shown in figure, specifically: processor is respectively from data base and specially
Family's knowledge base is transferred diagnosis data and the status data preset, compares similarity between the two, and obtain and similarity pair
The evaluating data answered, then by diagnosis data, similarity, evaluating data, between diagnosis data and similarity first corresponding pass
System, the second corresponding relation between similarity and evaluating data and the 3rd corresponding relation between diagnosis data and evaluating data are made
For diagnostic result.
Preferably, can also preserve some status datas preset within a processor, these data can be establishing criteria and empirical value
Preset rules Deng formation.
Wherein, similarity (being originally can be above-mentioned analytical data in embodiment) can be that the size between two data is closed
The data of system, it is also possible to be the data of a percentage ratio, such as, the status data value that iron content is preset is 75ppm, and oily
Iron content in liquid analytical data is 102ppm, then the data collected are bigger than the value preset, then obtain the evaluation number of correspondence
According to；And for example, the moisture in oil analysis data is 200, and the value preset is 500, and can similarity record be collected is
The 40% of the value of the moisture preset.
Further, as shown in Figure 6, while processor obtains diagnostic result, it is also possible to pre-by the data in processor
Survey module and pass through the analytical data prediction to the next moment duty of Wind turbines, to realize the work of the equipment to Wind turbines
Effectively monitor as state.
Specifically, by the critical upper dividing value corresponding with wherein each data to each diagnosis data obtained, critical floor value,
In warning, the analysis contrast of dividing value and warning floor value, draws warning data, and as shown in Figure 6, this warning data can be one
Bar curve.
Wherein, in critical upper dividing value, critical floor value, warning, dividing value and warning floor value may each be default value.
According to the abovementioned embodiments of the present invention, status data can include lubrication mechanism data, wherein, according to diagnosis data with pre-
If the step of diagnostic result of state data acquisition Wind turbines duty may include that use lubrication mechanism data are to diagnosis
Data are replaced computation of Period, to obtain the oil change data of Wind turbines, using oil change data as diagnosis knot
Really.More specifically, diagnosis data to be lubricated the use cycle that oil use computation of Period obtains the lubricating oil of this Wind turbines,
Then the limit value of changing oil in lubrication mechanism data can be made comparisons with the above-mentioned use cycle, obtain oil change data.Such as,
When the use cycle is more than or equal to change oil limit value, show that Wind turbines needs the oil change data changed oil；In the cycle of use
Less than change oil limit value time, draw the oil change data that Wind turbines need not change oil.
Specifically, analysis can be compared according to the diagnosis data that analysis of oil data and attribute data form with wear data,
Obtain oil change data.
Specifically, the lubrication mechanism data being pre-stored in data base can be called, by lubrication mechanism data and oil analysis data
Parameter about the oil change cycle is compared, and obtains the oil change data of Wind turbines, such that it is able to these wind
Group of motors lubricating oil uses unit (such as: wind field, system maker, gear-box maker) to provide the continuous of multinomial detection data
Comprehensive analysis, it is possible to provide the most rational replacement cycle of " different because of machine ", saves the lubricating oil cost of use of 12.5%-17%.
Further, since waste lubrication oil liquid has greatly harm to environment, providing the user rational oil change data can be
Limits reduces the pollution to environment on the premise of playing lubrication.
In the above embodiment of the present invention, oil analysis data may include that abrasion analysis data and analysis of oil data, its
In, the step of the diagnosis data obtaining Wind turbines may include that the lubricating oil sampled data obtaining Wind turbines；To lubricating oil
Sampled data carries out Atomic Emission Spectral Analysis and particle size analysis obtains abrasion analysis data；And lubricating oil sampled data is entered
Row oil property analysis and oil product physical and chemical index analysis obtain analysis of oil data.
Specifically, as it is shown in fig. 7, first initial lubricating oil hits can be obtained from Wind turbines lubricating oil monitoring sample point
According to, then by two kinds of analysis modes, the most different parameters is done different analyses and obtain abrasion analysis data and analysis of oil number
According to, and above-mentioned data are saved in data base as oil analysis data.
More specifically, the physical and chemical index to fluid, including colourity, viscosity, acid number, moisture, infrared spectrum, spumescence
Etc. carrying out oil property analysis and oil product physical and chemical index analysis, it is used for judging oil conditions overall merit, obtains analysis of oil data,
Then using analysis of oil data as follow-up；Fluid granule is comprised index, including: metal element content, pollution grade,
Particle shape analysis etc. carries out Atomic Emission Spectral Analysis and particle size analysis, it is determined that equipment complex state of wear, obtains abrasion point
Analysis data.
According to the abovementioned embodiments of the present invention, before obtaining the diagnosis data of Wind turbines, method can also include: gathers and belongs to
Property data, wherein, attribute data may include that categorical data, structured data, parts material quality data and running environment data；
Categorical data, structured data, parts material quality data and running environment data are saved into data base.
In the above embodiment of the present invention, according to diagnosis data and the state data acquisition Wind turbines duty preset
After diagnostic result, method can also include: is saved in data base by diagnostic result, and exports diagnostic result.
Specifically, as shown in Figure 8, report output can be carried out with diagnostic result, with to providing lubrication and the building of wear-out diagnosis early warning
View conclusion.
As shown in Figure 8, this diagnosis report may include that, essential information, diagnostic message (granularity as in figure), state are commented
Valency and findings data (evaluating data).
It should be noted that can be at the computer of such as one group of computer executable instructions in the step shown in the flow chart of accompanying drawing
System performs, and, although show logical order in flow charts, but in some cases, can be to be different from this
The step shown or described by order execution at place.
As can be seen from the above description, present invention achieves following technique effect: use the present invention, by obtaining wind-powered electricity generation
The oil analysis data of unit and the attribute data of Wind turbines, using above two data as diagnosis data, then according to diagnosis
Data and the diagnostic result of default state data acquisition Wind turbines duty.Can be by the oil analysis to Wind turbines
The duty of Wind turbines is diagnosed by data and attribute data, solve prior art is only capable of detect lubricating oil state without
Method obtains the problem of blower fan state of wear, by monitoring the continuous data spot lubrication of Wind turbines, it is achieved that Accurate Diagnosis, pre-
Each parts fretting wear situation of police conduct group of motors, solve be only capable of detect lubricating oil state cannot obtain asking of blower fan state of wear
Topic, provides reliable basis for maintenance before fault, improves blower fan reliability, ensures that fan safe is run, reduces non-programmed halt,
And then realize the systematization of wind field blower fan, standardization lubricating management, for " the Reduction of Students' Study Load of wind-powered electricity generation operator.
Obviously, those skilled in the art should be understood that each module of the above-mentioned present invention or each step can be with general calculating
Device realizes, and they can concentrate on single calculating device, or is distributed on the network that multiple calculating device is formed,
Alternatively, they can realize with calculating the executable program code of device, it is thus possible to be stored in storing device
In perform by calculating device, or they are fabricated to respectively each integrated circuit modules, or by the multiple modules in them
Or step is fabricated to single integrated circuit module and realizes.So, the present invention is not restricted to the combination of any specific hardware and software.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for those skilled in the art
For, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, any amendment of being made, etc.
With replacement, improvement etc., should be included within the scope of the present invention.
Claims (11)
1. the diagnostic method of a Wind turbines duty, it is characterised in that including:
Obtaining the diagnosis data of Wind turbines, wherein, described diagnosis data include the oil analysis data of described Wind turbines
Attribute data with described Wind turbines；
Diagnostic result according to described diagnosis data with Wind turbines duty described in the state data acquisition preset；
Wherein, described status data includes wear data, according to described diagnosis data and default state data acquisition
The step of the diagnostic result of Wind turbines duty includes: relatively described diagnosis data and described wear data obtains described
Diagnosis data and the similarity of described wear data；Obtain the evaluating data corresponding with described similarity；By described diagnosis number
According to, described similarity, described evaluating data, the first corresponding relation between described diagnosis data and described similarity, institute
State the second corresponding relation between similarity and described evaluating data and between described diagnosis data and described evaluating data
3rd corresponding relation is as described diagnostic result, and wherein, described evaluating data is wear evaluation data, according to described abrasion
The described diagnosis data of analytical data and described attribute data composition compare analysis with described wear data, obtain described
Wear evaluation data,
Wherein, described similarity is the data of the magnitude relationship between described diagnosis data and two data of described wear data
Or the data of a percentage ratio.
Diagnostic method the most according to claim 1, it is characterised in that described status data includes lubrication mechanism data, wherein,
Step bag according to described diagnosis data with the diagnostic result of Wind turbines duty described in the state data acquisition preset
Include:
Use described lubrication mechanism data that described diagnosis data are replaced computation of Period, to obtain described Wind turbines
Oil change data and using described oil change data as described diagnostic result.
Diagnostic method the most according to claim 1, it is characterised in that described oil analysis data include: abrasion analysis data
With analysis of oil data, wherein, the step of the diagnosis data obtaining Wind turbines includes:
Obtain the lubricating oil sampled data of Wind turbines；
Described lubricating oil sampled data is carried out Atomic Emission Spectral Analysis and particle size analysis obtains described abrasion analysis number
According to；And
Described lubricating oil sampled data is carried out oil property analysis and oil product physical and chemical index analysis obtains described analysis of oil number
According to.
Diagnostic method the most according to claim 1, it is characterised in that before obtaining the diagnosis data of Wind turbines, described
Method also includes:
Gathering described attribute data, wherein, described attribute data includes: categorical data, structured data, parts material number
According to this and running environment data；
Described categorical data, described structured data, described parts material quality data and described running environment data are saved into
Data base.
Diagnostic method the most according to claim 4, it is characterised in that according to described diagnosis data and the status data preset
After obtaining the diagnostic result of described Wind turbines duty, described method also includes:
Described diagnostic result is preserved in the database, and exports described diagnostic result.
6. the diagnostic equipment of a Wind turbines duty, it is characterised in that including:
First acquisition module, for obtaining the diagnosis data of Wind turbines, wherein, described diagnosis data include described wind-powered electricity generation
The oil analysis data of unit and the attribute data of described Wind turbines；
First processing module, for according to described diagnosis data and Wind turbines work shape described in the state data acquisition preset
The diagnostic result of state；
Wherein, described first processing module includes: the first comparison module, is used for comparing diagnosis data and obtains with wear data
Described diagnosis data and the similarity of described wear data；First sub-acquisition module is corresponding with described similarity for obtaining
Evaluating data；First sub-processing module, for by described diagnosis data, described similarity, described evaluating data, institute
State second between the first corresponding relation, described similarity and the described evaluating data between diagnosis data and described similarity
The 3rd corresponding relation between corresponding relation and described diagnosis data and described evaluating data as described diagnostic result, its
In, described status data includes described wear data, and wherein, described evaluating data is wear evaluation data, according to described
The described diagnosis data of abrasion analysis data and described attribute data composition compare analysis with described wear data, obtain
Described wear evaluation data,
Wherein, described similarity is the data of the magnitude relationship between described diagnosis data and two data of described wear data
Or the data of a percentage ratio.
The diagnostic equipment the most according to claim 6, it is characterised in that described first processing module includes:
First computing module, is used for using lubrication mechanism data that described diagnosis data are replaced computation of Period, to obtain
The oil change data of described Wind turbines, and using described oil change data as described diagnostic result,
Wherein, described status data includes described lubrication mechanism data.
The diagnostic equipment the most according to claim 6, it is characterised in that described first acquisition module includes:
Second sub-acquisition module, for obtaining the lubricating oil sampled data of Wind turbines；
Second sub-processing module, for carrying out Atomic Emission Spectral Analysis and particle size analysis to described lubricating oil sampled data
Obtain described abrasion analysis data；And
3rd sub-processing module, is used for that described lubricating oil sampled data is carried out oil property analysis and oil product physical and chemical index divides
Analysis obtains described analysis of oil data, and wherein, described oil analysis data include: abrasion analysis data and analysis of oil number
According to.
The diagnostic equipment the most according to claim 6, it is characterised in that described device also includes:
Acquisition module, is used for gathering described attribute data, and wherein, described attribute data includes: categorical data, structure number
According to, parts material quality data and running environment data；
Second processing module, for by described categorical data, described structured data, described parts material quality data and described
Running environment data are saved into data base.
The diagnostic equipment the most according to claim 9, it is characterised in that described device also includes:
3rd processing module, for being preserved in the database by described diagnostic result, and exports described diagnostic result.
The diagnostic system of 11. 1 kinds of Wind turbines duties, it is characterised in that include in claim 6 to 10 described in any one
The diagnostic equipment of Wind turbines duty.
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