CN114483479A - Fan high-temperature capacity reduction state evaluation method based on random forest - Google Patents
Fan high-temperature capacity reduction state evaluation method based on random forest Download PDFInfo
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- CN114483479A CN114483479A CN202111590033.2A CN202111590033A CN114483479A CN 114483479 A CN114483479 A CN 114483479A CN 202111590033 A CN202111590033 A CN 202111590033A CN 114483479 A CN114483479 A CN 114483479A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
- F03D80/60—Cooling or heating of wind motors
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- 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
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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Abstract
The invention discloses a random forest based fan high-temperature capacity reduction state evaluation method, which comprises the following steps: the method comprises the following steps: the data acquisition module acquires data of the working environment of the wind turbine generator; step two: then the data transmission module transmits the current operating environment temperature data acquired in the data acquisition module to the data comparison module through the control module, and the current operating environment temperature data is compared with a preset environment temperature range in the data comparison module; step three: the control module carries out random forest generation training on the obtained training set and test set to generate a random forest agent in the high-temperature lifting capacity state of the fan; step four: and the analysis module utilizes the random forest agents meeting the accuracy rate to carry out real-time operation risk judgment and analysis, so that the high-temperature capacity reduction state evaluation result of the fan is obtained in real time. The invention is convenient for cooling the temperature of the working environment before evaluating the high-temperature capacity-reducing state of the fan, thereby avoiding various faults caused by further worsening the state of the unit.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a fan high-temperature capacity reduction state evaluation method based on a random forest.
Background
Wind power generation refers to converting kinetic energy of wind into electric energy. The wind turbine generator is used for wind power generation, the working environment of the wind turbine generator is complex, the wind turbine generator is easy to be influenced by environmental factors as a mechanical transmission system, such as randomly-changed wind speed and large temperature of fluctuation range, so that various system parts can not operate under stable working conditions, the fan can be operated in a sub-health state in certain time periods, the wind turbine generator is not necessarily shut down, the output of the wind turbine generator and the generated energy of the wind turbine generator can be reduced, and the economic benefit of a wind turbine operation enterprise is influenced.
For reducing the generated energy loss of the wind turbine generator in the sub-health state, the state of the wind turbine generator needs to be judged and evaluated, at present, when the high-temperature capacity reduction state of the fan is judged and evaluated, when the evaluation judges that the working of the wind turbine generator is influenced by overhigh environmental temperature, the preparation for reducing the temperature of overhigh environmental temperature cannot be carried out in the prior art, the rising of the environmental temperature cannot be slowed down, so that even when the high-temperature capacity reduction state of the fan evaluates a result, the working environment temperature cannot be cooled in time, and the state of the wind turbine generator can be further deteriorated to cause various faults. Therefore, a fan high-temperature capacity reduction state evaluation method based on random forests is provided.
Disclosure of Invention
The invention aims to overcome the problems in the prior art and provides a fan high-temperature capacity-reducing state evaluation method based on a random forest, which is convenient for cooling the working environment temperature before evaluating the fan high-temperature capacity-reducing state, so that the working environment temperature can be cooled in time even when the fan high-temperature capacity-reducing state evaluates a result, and various faults caused by further deterioration of the unit state are avoided.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
a fan high-temperature capacity reduction state evaluation method based on random forests comprises a case body, a heat dissipation assembly, a data acquisition module, a data transmission module, a control module, a data comparison module, a high-temperature capacity reduction control table, a low-temperature capacity reduction control table, a calculation module and an analysis module;
the method also comprises the following specific steps:
the method comprises the following steps: the data acquisition module acquires data of the working environment of the wind turbine generator, particularly acquires the current operating environment temperature, and is preprocessed by the data center module to respectively obtain a training set, a verification set and a test set;
step two: then, the data transmission module transmits current operating environment temperature data acquired in the data acquisition module to the data comparison module through the control module, the current operating environment temperature data are compared with a preset environment temperature range in the data comparison module, when the current operating environment temperature is larger than a rated maximum value in the preset environment temperature range and smaller than an actual demand maximum value in the preset environment temperature range and the wind generating set is in a normal working state, dry cold air is firstly conveyed into the case body through the heat dissipation assembly to cool the working environment of the wind generating set, and then capacity reduction control is carried out on the wind generating set according to output power corresponding to the current operating environment temperature in a preset high-temperature capacity reduction control table; when the current operating environment temperature is smaller than the rated maximum value with capacity increasing demand in the preset environment temperature range and the wind generating set is in a normal working state, performing capacity increasing control on the wind generating set according to the output power corresponding to the current operating environment temperature in a preset low-temperature capacity increasing control table;
step three: the control module carries out random forest generation training on the obtained training set and the test set to generate a random forest agent in the high-temperature lifting capacity state of the fan, and then the control module is combined with the calculation module to judge whether the accuracy rate of the verification set meets the result output requirement;
step four: and the analysis module utilizes the random forest agents meeting the accuracy rate to carry out real-time operation risk judgment and analysis, so that the high-temperature capacity reduction state evaluation result of the fan is obtained in real time.
Preferably, the heat dissipation assembly comprises an S-shaped air pipe, a cooling and drying mechanism and an air pump, the air pump is electrically connected with the control module in an input mode, the S-shaped air pipe is installed in the case body, the input end of the S-shaped air pipe extends out of the case body, and air holes are uniformly formed in the bottom of the S-shaped air pipe.
Based on the technical characteristics, the cold air conveyed into the S-shaped air pipe can be conveniently and uniformly conveyed into the case body through the air holes.
Preferably, the cooling and drying mechanism comprises a box body, an air inlet pipe is arranged at the lower end of the right side wall of the box body, and the output end of the air suction pump is communicated with the air inlet pipe through a guide pipe.
Based on the technical characteristics, the air extracted from the external environment by the air extracting pump is conveniently conveyed into the box body through the air inlet pipe.
Preferably, the inner chamber bottom of box body is provided with condensing coil, condensing coil's the upper end is intake the end and is run through the preceding lateral wall of box body, condensing coil's lower extreme outlet pipe runs through the back lateral wall of box body.
Based on above-mentioned technical characteristics, through to the end of intaking of condensing coil from the external input cooling water, the cooling water flows in condensing coil, discharges from its play water end at last to let in flowing cooling water in condensing coil and make the temperature reduction in the box body, after the air of extracting from the outside carries the box body, further to the air of inputing to the box body begin to cool down from box body inner chamber bottom.
Preferably, the upper end of the box body is provided with a drying filter piece, the upper end of the left side wall of the box body is provided with an air outlet pipe, and the air outlet pipe is communicated with an input end of the S-shaped air pipe extending out of the box body through a guide pipe.
Based on the technical characteristics, the air is cooled, dried and filtered by the drying and filtering piece, and then conveyed into the S-shaped air pipe from the box body through the air outlet pipe.
Preferably, dry and filter including sealed lid, the cooperation of top joint of sealed lid and box body, the equal rigid coupling in both sides has the backup pad around the inner chamber top of sealed lid, and is two sets of it fills the box to be provided with the drier between the backup pad, the box is filled for upper and lower through type structure to the drier, and the inner chamber bottom that the box was filled to the drier is provided with the steel wire and blocks the net.
Based on the technical characteristics, before the air pumped into the box body is exhausted from the box body, the cooled air is firstly conveyed from bottom to top in the box body and is blown onto the drying agent filled in the drying agent filling box, so that the cold air is dried conveniently through the drying agent.
Preferably, an air-permeable filtering cotton is arranged between the two groups of the supporting plates, and the air-permeable filtering cotton is positioned at the top of the desiccant filling box.
Based on the technical characteristics, the dried cold air is subjected to dust removal and filtration through the air permeable filtering sponge, so that dust in the air is reduced, and finally the air is blown into the machine box body.
Compared with the prior art, the invention has the following beneficial effects:
the data acquisition module is used for acquiring the data of the working environment of the wind turbine generator, the acquired data is compared with the preset environment temperature range in the data comparison module, when the current operating environment temperature is greater than the rated maximum value in the preset environment temperature range and less than the actual demand maximum value in the preset environment temperature range and the wind turbine generator is in a normal working state, dry cold air is conveyed into the case body through the heat dissipation assembly to cool the working environment of the wind turbine generator, and then the wind turbine generator is subjected to capacity reduction control according to the output power corresponding to the current operating environment temperature in the preset high-temperature capacity reduction control table, so that the working environment temperature is cooled firstly before the high-temperature capacity reduction state of the fan is evaluated, and transition buffer is formed on temperature rise, therefore, even when the high-temperature capacity reduction state of the fan is evaluated, the temperature of the working environment is cooled, and the occurrence of various faults caused by further deterioration of the unit state is avoided.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of an evaluation method according to the present invention;
FIG. 2 is a schematic view of a case and a heat dissipation assembly according to the present invention;
FIG. 3 is a schematic view of the S-shaped trachea of the present invention;
FIG. 4 is a schematic structural view of a cooling and drying mechanism according to the present invention;
FIG. 5 is a schematic diagram of a dry filter element according to the present invention;
FIG. 6 is a left side cross-sectional view of FIG. 5 of the present invention;
in the drawings, the components represented by the respective reference numerals are listed below:
the device comprises a machine box body 1, a heat dissipation assembly 2, an S-shaped air pipe 201, a cooling and drying mechanism 202, a drying filter 2021, a sealing cover 20211, a ventilating and filtering cotton 20212, a desiccant filling box 20213, a supporting plate 20214, an air inlet pipe 2022, an air outlet pipe 2023, a box 2024, a condensing coil 2025, an air pump 203, an air pump 204, an air hole 3, a data acquisition module 4, a data transmission module 5, a control module 6, a data comparison module 7, a high-temperature capacity reduction control table 8, a low-temperature capacity increase control table 9, a calculation module 10 and an analysis module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a technical scheme that: a fan high-temperature capacity reduction state evaluation method based on random forests comprises a machine box body 1, a heat dissipation assembly 2, a data acquisition module 3, a data transmission module 4, a control module 5, a data comparison module 6, a high-temperature capacity reduction control table 7, a low-temperature capacity increase control table 8, a calculation module 9 and an analysis module 10, wherein the data acquisition module 3, the data transmission module 4, the data comparison module 6, the high-temperature capacity reduction control table 7, the low-temperature capacity increase control table 8, the calculation module 9 and the analysis module 10 are respectively and electrically connected with the control module 5;
the method also comprises the following specific steps:
the method comprises the following steps: the data acquisition module 3 acquires data of the working environment of the wind turbine generator, particularly acquires the current operating environment temperature, and is preprocessed by the data center module to respectively obtain a training set, a verification set and a test set;
step two: then the data transmission module 4 transmits the current operation environment temperature data collected in the data collection module 3 to the data comparison module 6 through the control module 5, and compares the current operation environment temperature data with the preset environment temperature range in the data comparison module 6, when the current operation environment temperature is larger than the rated maximum value in the preset environment temperature range and is smaller than the actual demand maximum value in the preset environment temperature range and the wind generating set is in the normal working state, dry cold air is firstly transmitted into the machine box body 1 through the heat dissipation assembly 2 to cool the working environment of the wind generating set, and then the capacity reduction control is carried out on the wind generating set according to the output power corresponding to the current operation environment temperature in the preset high temperature capacity reduction control table 7, so that the working environment temperature is firstly cooled before the high temperature capacity reduction state of the fan is evaluated, and transition buffer is formed on the temperature rise, therefore, even when the high-temperature capacity reduction state of the fan evaluates a result, the temperature of the working environment is reduced, the maintenance of the unit can be realized within enough time, and various faults caused by further deterioration of the unit state due to high temperature are avoided;
the heat dissipation assembly 2 comprises an S-shaped air pipe 201, a cooling and drying mechanism 202 and an air pump 203, the air pump 203 is electrically connected with the control module 5 in an input manner, the S-shaped air pipe 201 is installed in the machine box body 1, the input end of the S-shaped air pipe 201 extends out of the machine box body 1 (refer to fig. 2 and fig. 3 in the attached drawing of the specification), the cooling and drying mechanism 202 comprises a box body 2024, the installation positions of the air pump 203 and the box body 2024 are selected according to actual requirements, an air inlet pipe 2022 is arranged at the lower end of the right side wall of the box body 2024, the output end of the air pump 203 is communicated with the air inlet pipe 2022 through a conduit, the control module 5 controls the operation of the air pump 203, so that air extracted from the external environment by the air pump 203 is conveyed into the box body 2024 through the air inlet pipe 2022, a condensation coil 2025 is arranged at the bottom end of the inner cavity of the box body 2024, the water inlet end of the upper end of the condensation coil 2025 penetrates through the front side wall of the box body 2024, the water outlet pipe of the lower end of the condensation coil 2025 penetrates through the rear side wall of the box body 2024, cooling water is input from the outside to the water inlet end of the condensation coil 2025, the cooling water flows in the condensation coil 2025 and is finally discharged from the water outlet end of the condensation coil 2025, so that the flowing cooling water is introduced into the condensation coil 2025 to reduce the temperature in the box body 2024, after the air extracted from the outside is conveyed into the box body 2024, the air input into the box body 2024 is further cooled and cooled from the bottom end of the inner cavity of the box body 2024, the upper end of the box body 2024 is provided with a dry filtering piece 2021, the dry filtering piece 2021 comprises a sealing cover 20211, the sealing cover 20211 is in clamping fit with the top of the box body 2024, supporting plates 20214 are fixedly connected to the front side and the rear side of the top of the inner cavity of the sealing cover 20211, a desiccant filling box 20213 is arranged between the two groups of supporting plates 20214, the desiccant filling box 20213 is of a vertical through structure, the bottom of the inner cavity of the desiccant filling box 20213 is provided with a steel wire barrier net, and the air pumped into the box body 2024 is discharged, the cooled air is firstly conveyed from bottom to top in the box body 2024 and blown on the drying agent filled in the drying agent filling box, so that the cold air is dried conveniently by the drying agent, an air-permeable filtering cotton 20212 is arranged between the two groups of supporting plates 20214, the air-permeable filtering cotton 20212 is positioned at the top of the drying agent filling box 20213, the dried cold air is subjected to dust removal and filtration by the air-permeable filtering cotton 20212, the dust in the air is reduced, and finally the air is blown into the machine box body 1 (see fig. 5 and 6 in the attached drawings of the specification); an air outlet pipe 2023 is arranged at the upper end of the left side wall of the box body 2024, the air outlet pipe 2023 is communicated with an input end of the S-shaped air pipe 201 extending out of the machine box body 1 through a guide pipe, and after the air is cooled, dried and filtered by a drying and filtering element 2021, the air is conveyed into the S-shaped air pipe 201 from the box body 2024 through the air outlet pipe 2023 (refer to fig. 4 in the attached drawing of the specification); the bottom of the S-shaped air pipe 201 is uniformly provided with air holes 204, so that cold air conveyed into the S-shaped air pipe 201 can be uniformly conveyed into the box body 1 through the air holes 204, and the working environment of the wind turbine generator is cooled (see fig. 3 in the attached drawing of the specification);
when the current operating environment temperature is smaller than the rated maximum value with capacity increasing demand in the preset environment temperature range and the wind generating set is in a normal working state, performing capacity increasing control on the wind generating set according to the output power corresponding to the current operating environment temperature in a preset low-temperature capacity increasing control table 8;
step three: the control module 5 performs random forest generation training on the obtained training set and test set to generate a random forest agent in the high-temperature lifting capacity state of the fan, and then the calculation module 9 is combined to judge whether the accuracy of the verification set meets the result output requirement or not;
step four: the analysis module 10 utilizes the random forest agents meeting the accuracy to perform real-time operation risk judgment and analysis, so that the high-temperature capacity reduction state evaluation result of the fan is obtained in real time.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. A fan high-temperature capacity reduction state assessment method based on random forests is characterized by comprising the following steps: the device comprises a machine box body (1), a heat dissipation assembly (2), a data acquisition module (3), a data transmission module (4), a control module (5), a data comparison module (6), a high-temperature capacity reduction control table (7), a low-temperature capacity increase control table (8), a calculation module (9) and an analysis module (10);
the method also comprises the following specific steps:
the method comprises the following steps: the data acquisition module (3) acquires data of the working environment of the wind turbine generator, particularly acquires the current operating environment temperature, and is preprocessed by the data center module to respectively obtain a training set, a verification set and a test set;
step two: then, the data transmission module (4) transmits the current operation environment temperature data acquired in the data acquisition module (3) to the data comparison module (6) through the control module (5), the current operation environment temperature data is compared with the preset environment temperature range in the data comparison module (6), when the current operation environment temperature is larger than the rated maximum value in the preset environment temperature range, is smaller than the actual demand maximum value in the preset environment temperature range and the wind generating set is in a normal working state, dry cold air is firstly conveyed into the machine box body (1) through the heat dissipation assembly (2) to cool the working environment of the wind generating set, and then the capacity reduction control is carried out on the wind generating set according to the output power corresponding to the current operation environment temperature in the preset high-temperature capacity reduction control table (7); when the current operating environment temperature is smaller than the rated maximum value with capacity increasing demand in the preset environment temperature range and the wind generating set is in a normal working state, performing capacity increasing control on the wind generating set according to the output power corresponding to the current operating environment temperature in a preset low-temperature capacity increasing control table (8);
step three: the control module (5) performs random forest generation training on the obtained training set and test set to generate a random forest agent in the high-temperature lifting capacity state of the fan, and then the control module is combined with the calculation module (9) to judge whether the accuracy rate of the verification set meets the result output requirement;
step four: the analysis module (10) utilizes the random forest agents meeting the accuracy rate to conduct real-time operation risk judgment and analysis, and therefore the high-temperature capacity reduction state evaluation result of the fan is obtained in real time.
2. The fan high-temperature capacity reduction state evaluation method based on the random forest as claimed in claim 1, wherein the fan high-temperature capacity reduction state evaluation method comprises the following steps: the heat dissipation assembly (2) comprises an S-shaped air pipe (201), a cooling and drying mechanism (202) and an air suction pump (203), the air suction pump (203) is electrically connected with the control module (5) in an input mode, the S-shaped air pipe (201) is installed in the machine box body (1), the input end of the S-shaped air pipe (201) extends out of the machine box body (1), and air holes (204) are uniformly formed in the bottom of the S-shaped air pipe (201).
3. The fan high-temperature capacity reduction state evaluation method based on the random forest as claimed in claim 2, wherein the fan high-temperature capacity reduction state evaluation method comprises the following steps: the cooling and drying mechanism (202) comprises a box body (2024), an air inlet pipe (2022) is arranged at the lower end of the right side wall of the box body (2024), and the output end of the air pump (203) is communicated with the air inlet pipe (2022) through a conduit.
4. The fan high-temperature capacity reduction state evaluation method based on the random forest as claimed in claim 3, wherein the fan high-temperature capacity reduction state evaluation method comprises the following steps: the bottom end of the inner cavity of the box body (2024) is provided with a condensing coil (2025), the water inlet end at the upper end of the condensing coil (2025) penetrates through the front side wall of the box body (2024), and the water outlet pipe at the lower end of the condensing coil (2025) penetrates through the rear side wall of the box body (2024).
5. The fan high-temperature capacity reduction state evaluation method based on the random forest as claimed in claim 3, wherein the fan high-temperature capacity reduction state evaluation method comprises the following steps: the upper end of the box body (2024) is provided with a drying filter element (2021), the upper end of the left side wall of the box body (2024) is provided with an air outlet pipe (2023), and the air outlet pipe (2023) is communicated with the input end of the S-shaped air pipe (201) extending out of the machine box body (1) through a guide pipe.
6. The fan high-temperature capacity reduction state evaluation method based on the random forest as claimed in claim 5, wherein the fan high-temperature capacity reduction state evaluation method comprises the following steps: the drying filter element (2021) comprises a sealing cover (20211), the sealing cover (20211) is in clamping fit with the top of the box body (2024), supporting plates (20214) are fixedly connected to the front side and the rear side of the top of an inner cavity of the sealing cover (20211), a drying agent filling box (20213) is arranged between the two groups of supporting plates (20214), the drying agent filling box (20213) is of an up-and-down permeable structure, and a steel wire blocking net is arranged at the bottom of the inner cavity of the drying agent filling box (20213).
7. The fan high-temperature capacity reduction state evaluation method based on the random forest as claimed in claim 6, wherein the fan high-temperature capacity reduction state evaluation method comprises the following steps: an air-permeable filtering cotton (20212) is arranged between the two groups of supporting plates (20214), and the air-permeable filtering cotton (20212) is positioned at the top of the desiccant filling box (20213).
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| CN113775484A (en) * | 2021-10-14 | 2021-12-10 | 中国船舶重工集团海装风电股份有限公司 | Combined control method and device based on temperature change of torsion slip ring and unit power |
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