CN109268201A - A kind of rotary wheel of water turbine abrasion big data analysis system - Google Patents
A kind of rotary wheel of water turbine abrasion big data analysis system Download PDFInfo
- Publication number
- CN109268201A CN109268201A CN201811035063.5A CN201811035063A CN109268201A CN 109268201 A CN109268201 A CN 109268201A CN 201811035063 A CN201811035063 A CN 201811035063A CN 109268201 A CN109268201 A CN 109268201A
- Authority
- CN
- China
- Prior art keywords
- module
- unit
- electrically connected
- power
- output end
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03B—MACHINES OR ENGINES FOR LIQUIDS
- F03B15/00—Controlling
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03B—MACHINES OR ENGINES FOR LIQUIDS
- F03B11/00—Parts or details not provided for in, or of interest apart from, the preceding groups, e.g. wear-protection couplings, between turbine and generator
- F03B11/008—Measuring or testing arrangements
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/20—Hydro energy
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Control Of Water Turbines (AREA)
- Hydraulic Turbines (AREA)
Abstract
The present invention relates to a kind of rotary wheel of water turbine to wear big data analysis system, including the first module, the second module and starting module, the output end of first module is electrically connected with unit waterpower input module, and the output end of unit waterpower input module is electrically connected with unit waterpower and specified water force module.The beneficial effects of the present invention are: the present invention passes through to the first module, second module and curve generate the setting of time module, and first is electric connection in parallel between module and the second module, pass through the first module, the collective effect of second module and other modules, it being capable of long-term follow output of hydraulic turbine situation, after eliminating various disturbing factors, draw out the variation tendency of runner power curve, calculate the size of loss in efficiency, runner erosion degree can be thus accurately positioned, reflect that loss of efficiency changes in real time, runner is analyzed because of the Data Representation from periphery, so unrelated with runner pattern and pattern of water flow, it ensure that the accuracy of analysis.
Description
Technical field
The present invention relates to rotary wheel of water turbine abrasion analysis technical field, specially a kind of rotary wheel of water turbine abrasion big data point
Analysis system.
Background technique
The runner of the hydraulic turbine is as most important workpiece in entire turbine-generator units, and long-term work is in silt carrying flow
In will necessarily be destroyed by abrasion (abrasion and cavitation erosion), and the erosion problem of the hydraulic turbine it is settled it is modern until be still a worldwide difficulty
It inscribes, the hydraulic turbine made of any excellent in design abrasion-resistant material excellent with selection, in actual operation still inevitably
There is the change due to running environment and wear phenomena occurs.Abrasion reduces turbine hydraulic efficiency, undercapacity, check man
Work amount increasing, repair time extend, and longtime running can seriously threaten the safe operation of unit and reduce the profit norm in power plant,
Because rotary wheel of water turbine is enclosed in, opaque and water-filled high pressure height circulation wheel is indoor, and the external world has no way of directly observing at all, can only
It is monitored by indirect mode.
Existing judgement rotary wheel of water turbine abrasion method has indirect observation method and calculates predicted method, and indirect observation method is main
Be with method for oscillating detect be entire unit Vibration Condition, rotary wheel of water turbine abrasion only cause it is a variety of in abnormal vibration
One of inducement, False Rate is relatively high, while can not also judge the erosion degree of runner, if maintenance down accordingly, only observation turns
Whether wheel needs replacing or repairs, and in this way other than waste of manpower, can also waste a large amount of waterpower resourses, cause economic loss,
It and is that cannot achieve automatic detection, while runner abrasion is to the method for sound observation by there is the profession of abundant operating experience
One slow change procedure, the time, which has grown people, can generate auditory fatigue and can not accurately judge, and calculate prediction method because
It is considerably complicated for actually flowing through the water flow in the hydraulic turbine, while often with some variable amount of impurity, grit, stone in water flow
The mineral grains such as sand, ideal computation model will appear biggish deviation, finally will affect the result of judgement.
Summary of the invention
The purpose of the present invention is to provide a kind of rotary wheel of water turbine to wear big data analysis system, to solve above-mentioned background skill
The existing judgement rotary wheel of water turbine abrasion method proposed in art has indirect observation method and calculates predicted method, and indirect observation method master
If with method for oscillating detect be entire unit Vibration Condition, rotary wheel of water turbine abrasion only causes more in abnormal vibration
One of kind inducement, False Rate is relatively high, while can not also judge the erosion degree of runner, if maintenance down accordingly, is only observed
Whether runner needs replacing or repairs, and in this way other than waste of manpower, can also waste a large amount of waterpower resourses, cause economic damage
It loses, and is that cannot achieve automatic detection, while runner is ground to the method for sound observation by there is the profession of abundant operating experience
Erosion is a slow change procedure, and the time, which has grown people, can generate auditory fatigue and can not accurately judge, and calculates the side of prediction
Method is because the water flow actually flowed through in the hydraulic turbine is considerably complicated, while often with some variable amount of impurity, sand in water flow
The mineral grains such as gravel, quartz sand, ideal computation model will appear biggish deviation, finally will affect asking for the result of judgement
Topic.
To achieve the above object, the invention provides the following technical scheme: a kind of rotary wheel of water turbine wears big data analysis system
System, including the first module, the second module and starting module, the output end of first module are electrically connected with the input of unit waterpower
Module, and the output end of unit waterpower input module is electrically connected with unit waterpower and specified water force module, described second
The output end of module is electrically connected with power of the assembling unit input module, and the output end electric connection of power of the assembling unit input module is organic
Group power and rated power computing module, the power of the assembling unit and rated power computing module and unit waterpower and specified potamometer
The output end for calculating module, which is electrically connected with, saves power of the assembling unit percentage and unit waterpower percent data module, and saves machine
Group power percentage and the output end of unit waterpower percent data module are electrically connected with curve and generate time module, the song
The output end that line generates time module is electrically connected with initial power curve generation module, and initial power curve generation module
Output end, which is electrically connected with, generates current power curve unit, and the output end for generating current power curve unit is electrically connected
The output end for having and calculating current power loss module, and calculate current power loss module, which is electrically connected with, reminds user's runner mill
Module is lost, the output end for reminding user's runner abrasion module is electrically connected with ending module, and the input terminal of ending module
It is electrically connected with and generates initial power curve unit.
Preferably, the starting module is included in the inside of the first module, and the output end of starting module is electrically connected with
Tailwater elevation sampling module, the output end of the starting module is electrically connected with the water level of the frontal pool sampling module, and tailwater elevation is adopted
The output end of egf block and the water level of the frontal pool sampling module is electrically connected with head computing module, the output end of the starting module
It is electrically connected with guide vane opening sampling module, and the output end of starting module is electrically connected with unit frequency sampling module, it is described
When the output end of unit frequency sampling module, head computing module and guide vane opening sampling module is electrically connected with data stabilization
Between module, and the output end of data stabilization time module is electrically connected with and generates the currently active unit hydraulic module.
It preferably, include power of the assembling unit sampling module on the inside of second module, and power of the assembling unit sampling module
Output end is electrically connected with power of the assembling unit validity check module, and the output end of the power of the assembling unit validity check module is electrical
It is connected with unit analysis of Temperature Characteristics module, and the output end of unit analysis of Temperature Characteristics module is electrically connected with unit temperature spy
Property monitoring modular, the output end of the unit temperature characterisitic monitoring modular are electrically connected with power of the assembling unit data correction module, and
The output end of power of the assembling unit data correction module, which is electrically connected with, generates the currently active power of the assembling unit module.
It preferably, is electric connection in parallel between first module and the second module, and the first module and unit waterpower
It is that unidirectional series connection is electrically connected between input module.
Preferably, the curve generates time module and the first module and curve generates between time module and the second module
It is electrically connected for parallel connection.
It preferably, is simultaneously between the unit frequency sampling module, head computing module and guide vane opening sampling module
Connection is electrically connected.
Preferably, described generate between the currently active unit hydraulic module and unit waterpower input module is unidirectional series electrical
Property connection.
It preferably, is unidirectionally to go here and there between the unit temperature characterisitic monitoring modular and the currently active power of the assembling unit module of generation
Connection is electrically connected.
It preferably, is unidirectionally to go here and there between the power of the assembling unit data correction module and the currently active power of the assembling unit module of generation
Connection is electrically connected.
Compared with prior art, the beneficial effects of the present invention are:
1, the present invention by the first module, the second module and curve generate time module setting, and the first module with
It is electric connection in parallel between second module, it, can be long-term by the collective effect of the first module, the second module and other modules
Tracking output of hydraulic turbine situation is drawn out the variation tendency of runner power curve, is calculated after eliminating various disturbing factors
The size of loss in efficiency, can thus be accurately positioned runner erosion degree, reflect that loss of efficiency changes in real time, because from periphery
Data Representation analyze runner, so unrelated with runner pattern and pattern of water flow, ensure that the accuracy of analysis, substitution tradition
Method for oscillating detect the Vibration Condition of entire unit, and rotary wheel of water turbine abrasion only causes a variety of inducements in abnormal vibration
One of, False Rate is relatively high, and curve generates time module and the first module and curve generate time module and the second module it
Between be electric connection in parallel, when curve generate time module generate curve generate the time be not up to when so that big data is again
By input, calculating, preservation, output etc., curve is carried out again and generates work.
2, the present invention is by the setting to unit frequency sampling module, head computing module and guide vane opening sampling module,
And between unit frequency sampling module, head computing module and guide vane opening sampling module be electric connection in parallel, in unit
Frequency sampling module, head computing module and guide vane opening sampling module are connected in parallel under effect, enable the system to reflect
Whether the data stabilization time that data stabilization time module generates out reaches, if reaching, continues follow-up work, passes through generation
The currently active unit hydraulic module carries out comprehensive analysis to head, frequency, aperture etc., can be to the currently active unit hydraulic data
Generation work is carried out, and passes through the effect of unit frequency sampling module, the data of unit frequency can be sampled, be passed through
The effect of head computing module, can be to the resulting the water level of the frontal pool data of the water level of the frontal pool sampling module and tailwater elevation sampling module
Resulting tailwater elevation data carry out asking poor work, and under the action of guide vane opening sampling module, can be to leading leaf divergence
Data carry out sampling processing.
3, the present invention is by the setting to the currently active unit hydraulic module and unit waterpower input module is generated, and generates
It is electric connection of unidirectionally connecting between the currently active unit hydraulic module and unit waterpower input module, is generating the currently active machine
Under unidirectional connection function between group hydraulic module and unit waterpower input module, so that by generating the currently active unit waterpower
Module carries out the currently active unit hydraulic data of comprehensive analysis generation to head, frequency, aperture etc., inputs mould in unit waterpower
Under the input action of block, input service, abrasion journey that can preferably to rotary wheel of water turbine convenient for big data analysis system are completed
Degree carries out analysis work.
4, the setting of the invention by unit temperature characterisitic monitoring modular and the currently active power of the assembling unit module of generation, and
It is electric connection of unidirectionally connecting between unit temperature characterisitic monitoring modular and the currently active power of the assembling unit module of generation, in unit temperature
It spends under the action of characteristic monitoring modular, judgement operation can be carried out to whether unit temperature characterisitic changes, when unit temperature characterisitic
When not changing, directly export the currently active power of the assembling unit data by generating the currently active power of the assembling unit module, continue into
Row follow-up work.
5, the setting of the invention by power of the assembling unit data correction module and the currently active power of the assembling unit module of generation, and
It is electric connection of unidirectionally connecting between power of the assembling unit data correction module and the currently active power of the assembling unit module of generation, passes through unit
The effect of power data correction module can change to the unit temperature characterisitic of unit temperature characterisitic monitoring module monitors
Unit temperature data enables to be modified operation to unit initial power data and generates the currently active power of the assembling unit module
Export the currently active power of the assembling unit data.
Detailed description of the invention
Fig. 1 is the structural schematic diagram that a kind of rotary wheel of water turbine of the present invention wears big data analysis system；
Fig. 2 is the first inside modules flowage structure signal that a kind of rotary wheel of water turbine of the present invention wears big data analysis system
Figure；
Fig. 3 is the second inside modules flowage structure signal that a kind of rotary wheel of water turbine of the present invention wears big data analysis system
Figure.
In figure: 1, the first module；2, the second module；3, unit waterpower input module；4, unit waterpower and specified potamometer
Calculate module；5, power of the assembling unit input module；6, the power of the assembling unit and rated power computing module；7, save power of the assembling unit percentage and
Unit waterpower percent data module；8, curve generates time module；9, initial power curve generation module；10, it generates current
Power curve unit；11, it calculates current power and loses module；12, user's runner is reminded to denude module；13, ending module；14,
Generate initial power curve unit；15, starting module；16, tailwater elevation sampling module；17, the water level of the frontal pool sampling module；18,
Guide vane opening sampling module；19, head computing module；20, unit frequency sampling module；21, data stabilization time module；22,
Generate the currently active unit hydraulic module；23, power of the assembling unit sampling module；24, power of the assembling unit validity check module；25, machine
Group analysis of Temperature Characteristics module；26, unit temperature characterisitic monitoring modular；27, power of the assembling unit data correction module；28, it generates and works as
Preceding effective power of the assembling unit module.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1-3 is please referred to, the present invention provides a kind of technical solution: a kind of rotary wheel of water turbine abrasion big data analysis system,
Including the first module 1, the second module 2, unit waterpower input module 3, unit waterpower and specified water force module 4, unit function
Rate input module 5, the power of the assembling unit and rated power computing module 6 save power of the assembling unit percentage and unit waterpower percentage number
Time module 8 is generated according to module 7, curve, initial power curve generation module 9, the current power curve unit 10 of generation, calculates and works as
Preceding power loss module 11 reminds user's runner abrasion module 12, ending module 13, generates initial power curve unit 14, opens
Dynamic model block 15, tailwater elevation sampling module 16, the water level of the frontal pool sampling module 17, guide vane opening sampling module 18, head calculate mould
Block 19, data stabilization time module 21, generates the currently active unit hydraulic module 22, unit function at unit frequency sampling module 20
Rate sampling module 23, power of the assembling unit validity check module 24, unit analysis of Temperature Characteristics module 25, the monitoring of unit temperature characterisitic
Module 26, power of the assembling unit data correction module 27 and the currently active power of the assembling unit module 28 of generation, the output end electricity of the first module 1
Property is connected with unit waterpower input module 3, and the output end of unit waterpower input module 3 be electrically connected with unit waterpower with it is specified
Water force module 4 is electric connection in parallel between first module 1 and the second module 2, and the first module 1 and unit waterpower are defeated
Entering between module 3 is that unidirectional series connection is electrically connected, and passes through the collective effect of the first module 1, the second module 2 and other modules, energy
Enough long-term follow output of hydraulic turbine situations draw out the variation tendency of runner power curve after eliminating various disturbing factors,
The size of loss in efficiency is calculated, runner erosion degree can be thus accurately positioned, reflects that loss of efficiency changes in real time, because
Runner is analyzed from the Data Representation of periphery, thus it is unrelated with runner pattern and pattern of water flow, it ensure that the accuracy of analysis；
Starting module 15 is included in the inside of the first module 1, and the output end of starting module 15 is electrically connected with tail water water
Position sampling module 16, the output end of starting module 15 is electrically connected with the water level of the frontal pool sampling module 17, and tailwater elevation samples mould
The output end of block 16 and the water level of the frontal pool sampling module 17 is electrically connected with head computing module 19, the output end of starting module 15
It is electrically connected with guide vane opening sampling module 18, and the output end of starting module 15 is electrically connected with unit frequency sampling module
20, it is electric connection in parallel between unit frequency sampling module 20, head computing module 19 and guide vane opening sampling module 18,
Unit frequency sampling module 20, head computing module 19 and guide vane opening sampling module 18 be connected in parallel effect under so that
Whether the data stabilization time that system is able to reflect out the generation of data stabilization time module reaches, if reaching, continues subsequent
Work carries out comprehensive analysis to head, frequency, aperture etc. by generating the currently active unit hydraulic module 22, can be to current
Effective unit hydraulic data carries out generation work, unit frequency sampling module 20, head computing module 19 and guide vane opening sampling
The output end of module 18 is electrically connected with data stabilization time module 21, and the output end of data stabilization time module 21 is electrical
It is connected with and generates the currently active unit hydraulic module 22, generate the currently active unit hydraulic module 22 and unit waterpower input module
It is that unidirectional series connection is electrically connected between 3, is generating between the currently active unit hydraulic module 22 and unit waterpower input module 3
Under unidirectional connection function, so that carrying out comprehensive point to head, frequency, aperture etc. by generating the currently active unit hydraulic module 22
The currently active unit hydraulic data generated is analysed, under the input action of unit waterpower input module 3, completes input service, just
Analysis work preferably can be carried out to the degree of wear of rotary wheel of water turbine in big data analysis system；
The output end of second module 2 is electrically connected with power of the assembling unit input module 5, and power of the assembling unit input module 5 is defeated
Outlet is electrically connected with the power of the assembling unit and rated power computing module 6, and the inside of the second module 2 includes power of the assembling unit sampling mould
Block 23, and the output end of power of the assembling unit sampling module 23 is electrically connected with power of the assembling unit validity check module 24, the power of the assembling unit
The output end of validity check module 24 is electrically connected with unit analysis of Temperature Characteristics module 25, and unit analysis of Temperature Characteristics mould
The output end of block 25 is electrically connected with unit temperature characterisitic monitoring modular 26, and unit temperature characterisitic monitoring modular 26 and generation are current
It is that unidirectional series connection is electrically connected between effective power of the assembling unit module 28, under the action of unit temperature characterisitic monitoring modular 26, energy
It is enough to carry out judgement operation to whether unit temperature characterisitic changes, when unit temperature characterisitic does not change, directly pass through generation
The currently active power of the assembling unit module 28 exports the currently active power of the assembling unit data, continues follow-up work, unit temperature characterisitic
The output end of monitoring modular 26 is electrically connected with power of the assembling unit data correction module 27, and power of the assembling unit data correction module 27
Output end, which is electrically connected with, generates the currently active power of the assembling unit module 28, and power of the assembling unit data correction module 27 currently has with generation
It is that unidirectional series connection is electrically connected between effect power of the assembling unit module 28, it, can by the effect of power of the assembling unit data correction module 27
The unit temperature data that the unit temperature characterisitic that unit temperature characterisitic monitoring modular 26 monitors changes is come initial to unit
Power data is modified operation, enables and generates the currently active power of the assembling unit module 28 and export the currently active power of the assembling unit number
According to the power of the assembling unit is electrically connected with rated power computing module 6 and unit waterpower and the output end of specified water force module 4
Have and save power of the assembling unit percentage and unit waterpower percent data module 7, and saves power of the assembling unit percentage and unit waterpower
The output end of percent data module 7 is electrically connected with curve and generates time module 8, and curve generates time module 8 and the first mould
It is electric connection in parallel that block 1 and curve, which generate between time module 8 and the second module 2, when curve generates what time module 8 generated
It when the curve generation time is not up to, inputs so that big data is passed through again, calculate, save, export etc., again progress curve generation
Work；
The output end that curve generates time module 8 is electrically connected with initial power curve generation module 9, and initial power output is bent
The output end of line generation module 9, which is electrically connected with, generates current power curve unit 10, generates current power curve unit 10
Output end, which is electrically connected with, calculates current power loss module 11, and the output end for calculating current power loss module 11 electrically connects
It is connected to and reminds user's runner abrasion module 12, the output end of user's runner abrasion module 12 is reminded to be electrically connected with ending module
13, and the input terminal of ending module 13 is electrically connected with and generates initial power curve unit 14.
The working principle of the present embodiment: the rotary wheel of water turbine wears big data analysis system, first by the first module 1
The starting module 15 of side so that tailwater elevation sampling module 16 and the water level of the frontal pool sampling module 17 respectively to tailwater elevation data and
The water level of the frontal pool data are acquired processing, and according to the effect of head computing module 19, can be to the water level of the frontal pool sampling module
17 resulting the water level of the frontal pool data and the resulting tailwater elevation data of tailwater elevation sampling module 16 carry out asking poor work, and are leading
Under the action of leaf aperture sampling module 18, sampling processing can be carried out to leaf divergence data are led, so that data analysis system exists
Unit frequency sampling module 20, head computing module 19 and guide vane opening sampling module 18 are connected in parallel under effect, so that being
Whether the data stabilization time that system is able to reflect out the generation of data stabilization time module 21 reaches, if reaching, continues subsequent
Work carries out comprehensive analysis to head, frequency, aperture etc. by generating the currently active unit hydraulic module 22, can be to current
Effective unit hydraulic data carries out generation work, then, by the power of the assembling unit sampling module 23 of the inside of the second module 2 to machine
Group power data carries out sampling operation, meanwhile, the power of the assembling unit is carried out under the action of power of the assembling unit validity check module 24
Whether the detection work of validity, and analysis behaviour is carried out by characteristic of the unit analysis of Temperature Characteristics module 25 to unit temperature
Make, and under the action of unit temperature characterisitic monitoring modular 26, whether unit temperature characterisitic can be changed and carry out judgement operation,
When unit temperature characterisitic does not change, the currently active unit directly is exported by generating the currently active power of the assembling unit module 28
Power data continues follow-up work, when unit temperature characterisitic changes, passes through power of the assembling unit data correction module 27
Effect, behaviour can be modified to unit initial power data to the unit temperature data that unit temperature characterisitic changes
Make, enables and generate the currently active power of the assembling unit module 28 and export the currently active power of the assembling unit data, finally, in the first module
1, the collective effect of the second module 2 and other modules, can long-term follow output of hydraulic turbine situation, eliminate various interference because
After element, the variation tendency of runner power curve is drawn out, calculates the size of loss in efficiency, can thus be accurately positioned runner mill
Degree of corrosion reflects that loss of efficiency changes in real time, because analyzing runner from peripheral Data Representation, so with runner pattern and
Pattern of water flow is unrelated, ensure that the accuracy of analysis, and exist using input waterpower (i.e. water energy) and output power (i.e. electric energy)
The intrinsic corresponding relationship presented on generating set investigates the change of this intrinsic corresponding relationship by big data, filter out interference because
Son, to analyze the degree (i.e. runner erosion degree) of runner physical characteristic change.
Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art,
It is still possible to modify the technical solutions described in the foregoing embodiments, or part of technical characteristic is carried out etc.
With replacement, all within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in this
Within the protection scope of invention.
Claims (9)
1. a kind of rotary wheel of water turbine wears big data analysis system, including the first module (1), the second module (2) and starting module
(15), it is characterised in that: the output end of first module (1) is electrically connected with unit waterpower input module (3), and unit water
The output end of power input module (3) is electrically connected with unit waterpower and specified water force module (4), second module (2)
Output end be electrically connected with power of the assembling unit input module (5), and the output end of power of the assembling unit input module (5) is electrically connected with
The power of the assembling unit and rated power computing module (6), the power of the assembling unit and rated power computing module (6) and unit waterpower and volume
The output end for determining water force module (4), which is electrically connected with, saves power of the assembling unit percentage and unit waterpower percent data mould
Block (7), and the output end for saving power of the assembling unit percentage and unit waterpower percent data module (7) is electrically connected with curve life
At time module (8), the output end that the curve generates time module (8) is electrically connected with initial power curve generation module
(9), and the output end of initial power curve generation module (9) is electrically connected with and generates current power curve unit (10), described
The output end for generating current power curve unit (10), which is electrically connected with, calculates current power loss module (11), and calculates current
The output end of power loss module (11), which is electrically connected with, reminds user's runner abrasion module (12), prompting user's runner mill
The output end of erosion module (12) is electrically connected with ending module (13), and the input terminal of ending module (13) is electrically connected with generation
Initial power curve unit (14).
2. a kind of rotary wheel of water turbine according to claim 1 wears big data analysis system, it is characterised in that: the starting
Module (15) is included in the inside of the first module (1), and the output end of starting module (15) is electrically connected with tailwater elevation sampling
The output end of module (16), the starting module (15) is electrically connected with the water level of the frontal pool sampling module (17), and tailwater elevation is adopted
The output end of egf block (16) and the water level of the frontal pool sampling module (17) is electrically connected with head computing module (19), the starting
The output end of module (15) is electrically connected with guide vane opening sampling module (18), and the output end of starting module (15) is electrically connected
There is unit frequency sampling module (20), the unit frequency sampling module (20), head computing module (19) and guide vane opening are adopted
The output end of egf block (18) is electrically connected with data stabilization time module (21), and data stabilization time module (21) is defeated
Outlet, which is electrically connected with, generates the currently active unit hydraulic module (22).
3. a kind of rotary wheel of water turbine according to claim 1 wears big data analysis system, it is characterised in that: described second
It include power of the assembling unit sampling module (23) on the inside of module (2), and the output end of power of the assembling unit sampling module (23) electrically connects
It is connected to power of the assembling unit validity check module (24), the output end of the power of the assembling unit validity check module (24) is electrically connected
There is unit analysis of Temperature Characteristics module (25), and the output end of unit analysis of Temperature Characteristics module (25) is electrically connected with unit temperature
It spends characteristic monitoring modular (26), the output end of the unit temperature characterisitic monitoring modular (26) is electrically connected with power of the assembling unit data
Correction module (27), and the output end of power of the assembling unit data correction module (27) is electrically connected with and generates the currently active power of the assembling unit
Module (28).
4. a kind of rotary wheel of water turbine according to claim 1 wears big data analysis system, it is characterised in that: described first
It is electric connection in parallel between module (1) and the second module (2), and between the first module (1) and unit waterpower input module (3)
For electric connection of unidirectionally connecting.
5. a kind of rotary wheel of water turbine according to claim 1 wears big data analysis system, it is characterised in that: the curve
It is in parallel electrical for generating time module (8) and generating between time module (8) and the second module (2) with the first module (1) and curve
Connection.
6. a kind of rotary wheel of water turbine according to claim 2 wears big data analysis system, it is characterised in that: the unit
It is electric connection in parallel between frequency sampling module (20), head computing module (19) and guide vane opening sampling module (18).
7. a kind of rotary wheel of water turbine according to claim 2 wears big data analysis system, it is characterised in that: the generation
It is electric connection of unidirectionally connecting between the currently active unit hydraulic module (22) and unit waterpower input module (3).
8. a kind of rotary wheel of water turbine according to claim 3 wears big data analysis system, it is characterised in that: the unit
It is electric connection of unidirectionally connecting between temperature characterisitic monitoring modular (26) and the currently active power of the assembling unit module (28) of generation.
9. a kind of rotary wheel of water turbine according to claim 3 wears big data analysis system, it is characterised in that: the unit
It is electric connection of unidirectionally connecting between power data correction module (27) and the currently active power of the assembling unit module (28) of generation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811035063.5A CN109268201A (en) | 2018-09-06 | 2018-09-06 | A kind of rotary wheel of water turbine abrasion big data analysis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811035063.5A CN109268201A (en) | 2018-09-06 | 2018-09-06 | A kind of rotary wheel of water turbine abrasion big data analysis system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109268201A true CN109268201A (en) | 2019-01-25 |
Family
ID=65187986
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811035063.5A Pending CN109268201A (en) | 2018-09-06 | 2018-09-06 | A kind of rotary wheel of water turbine abrasion big data analysis system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109268201A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111365158A (en) * | 2020-03-02 | 2020-07-03 | 东方电气集团东方电机有限公司 | Real-time state evaluation and life cycle management prediction system for water turbine runner |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102076367A (en) * | 2008-05-20 | 2011-05-25 | 锡德拉企业服务公司 | Applications of pump performance monitoring |
| CN102734183A (en) * | 2011-03-29 | 2012-10-17 | Abb公司 | Method of detecting wear in a pump driven with a frequency converter |
| CN105114334A (en) * | 2015-07-27 | 2015-12-02 | 北京化工大学 | Method for monitoring abrasion loss of impeller wear ring of multi-stage centrifugal pump based on computational fluid dynamics theory |
| US20170069070A1 (en) * | 2015-09-08 | 2017-03-09 | General Electric Company | System and method for identifying a condition of rotary machine components |
| CN107605761A (en) * | 2017-10-25 | 2018-01-19 | 江苏大学镇江流体工程装备技术研究院 | A kind of solid-liquid two-phase flow Pulp pump wear test platform |
-
2018
- 2018-09-06 CN CN201811035063.5A patent/CN109268201A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102076367A (en) * | 2008-05-20 | 2011-05-25 | 锡德拉企业服务公司 | Applications of pump performance monitoring |
| CN102734183A (en) * | 2011-03-29 | 2012-10-17 | Abb公司 | Method of detecting wear in a pump driven with a frequency converter |
| CN105114334A (en) * | 2015-07-27 | 2015-12-02 | 北京化工大学 | Method for monitoring abrasion loss of impeller wear ring of multi-stage centrifugal pump based on computational fluid dynamics theory |
| US20170069070A1 (en) * | 2015-09-08 | 2017-03-09 | General Electric Company | System and method for identifying a condition of rotary machine components |
| CN107605761A (en) * | 2017-10-25 | 2018-01-19 | 江苏大学镇江流体工程装备技术研究院 | A kind of solid-liquid two-phase flow Pulp pump wear test platform |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111365158A (en) * | 2020-03-02 | 2020-07-03 | 东方电气集团东方电机有限公司 | Real-time state evaluation and life cycle management prediction system for water turbine runner |
| CN111365158B (en) * | 2020-03-02 | 2021-06-18 | 东方电气集团东方电机有限公司 | Real-time state evaluation and life cycle management prediction system for water turbine runner |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2019218408A1 (en) | Internet of things-based device and method for monitoring typical health status of pump unit | |
| CN101289990B (en) | Hydro-turbo generator set vibration protection accomplishing method | |
| CN109670400B (en) | Method for evaluating stability state of hydroelectric generating set in starting process | |
| Tahani et al. | Rotational speed variation assessment of centrifugal pump-as-turbine as an energy utilization device under water distribution network condition | |
| CN103439091B (en) | The early warning of water turbine runner blade crackle fault and diagnostic method and system | |
| CN104748839A (en) | Hydroelectric generating unit vibration state region monitoring method based on real-time online monitoring | |
| CN110533092B (en) | Wind generating set SCADA data classification method based on operation condition and application | |
| CN110080921B (en) | Online monitoring and evaluating method and system for main water inlet valve of pumped storage power station | |
| CN105114334A (en) | Method for monitoring abrasion loss of impeller wear ring of multi-stage centrifugal pump based on computational fluid dynamics theory | |
| Ghaedi et al. | Generated power enhancement of the barrage type tidal power plants | |
| CN105930424A (en) | Method for realizing online asynchronous acquisition and intelligent mining of power distribution network data | |
| CN109268201A (en) | A kind of rotary wheel of water turbine abrasion big data analysis system | |
| CN103364723B (en) | Based on the running status of wind generator analytical approach of electric current and voltage balance | |
| CN112729836A (en) | Cycle improved water turbine cavitation initial state judging system and method thereof | |
| CN114925614A (en) | Method for predicting residual life of coal mining machine | |
| CN103926079A (en) | Method for detecting output abnormity of mixed-flow hydroelectric generating set | |
| CN108223245A (en) | A kind of overall process quantitative estimation method of turbine-generator units water power calculation evaluation | |
| CN114020729B (en) | Wind power plant power data cleaning method based on fan power curve | |
| CN110159474A (en) | Remote monitoring method for generator equipment state of hydroelectric generating set | |
| Ristić et al. | Digital technologies emergence in the contemporary hydropower plants operation | |
| CN106570237B (en) | Turbine stator blade thickness monitoring method and system of blast furnace gas waste heat recovery device | |
| CN115759521A (en) | Big data-based offshore wind turbine operation fault prediction system | |
| CN111799818B (en) | Online identification and early warning method for ultralow frequency oscillation of power grid considering primary frequency modulation dead zone | |
| CN113313142A (en) | Hydroelectric generating set operation data trend early warning method, system and storage medium | |
| CN109377002A (en) | A kind of terminal quality evaluation method and system based on closed loop management |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190125 |
|
| WD01 | Invention patent application deemed withdrawn after publication |