CN115434870B - Method, device, equipment and storage medium for processing vibration data of wind power generation set - Google Patents
Method, device, equipment and storage medium for processing vibration data of wind power generation set Download PDFInfo
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- 238000010248 power generation Methods 0.000 title claims abstract description 85
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- 238000007781 pre-processing Methods 0.000 claims abstract description 27
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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
Abstract
The invention relates to the technical field of wind power generation, and discloses a method, a device, equipment and a storage medium for processing vibration data of a wind power generation group, wherein the method comprises the following steps: acquiring original vibration evaluation data of a wind power generation group, and acquiring current vibration data and current rotating speed data according to the original vibration evaluation data; calculating current vibration data and current rotating speed data respectively through a target mean square value strategy; carrying out data calculation on the vibration speed root mean square value and the acceleration root mean square value according to a preset root mean square standard rule; preprocessing current vibration data and current rotating speed data according to a target parameter format rule; through the method, the root mean square value of the wind generating set data meter is calculated, then data calculation is carried out according to the preset root mean square standard rule, and preprocessing is carried out according to the target parameter format rule, so that the final file and data meet the diagnosis requirement, and further automatic analysis of the wind generating set running at variable rotation speed is realized.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a method, a device, equipment and a storage medium for processing vibration data of a wind power generation set.
Background
The wind power generation set is commonly used in remote areas with malicious climate and complex environment, such as gobi, hills and the like, and brings power resources to local citizens, but the wind power generation set has extremely high requirements on the environment and power equipment, if the running state or vibration of the wind power generation set changes and is not processed in time, the equipment of the wind power generation set is damaged, the maintenance cost is high, the operation cost of a wind farm is increased, therefore, how to efficiently and accurately analyze the vibration data of each equipment of the wind power generation set is particularly important, and the current common analysis mode is to directly analyze the vibration data of each equipment of the wind power generation set, but the format of the vibration data has difference, and part of data format does not meet the vibration diagnosis requirement, so that the automatic analysis on the vibration of the wind power generation set cannot be realized.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for processing vibration data of a wind power generation set, and aims to solve the technical problem that the data and files obtained by processing in the prior art do not meet the vibration diagnosis requirement, so that automatic analysis of a wind power generation set running at a variable speed is realized.
In order to achieve the above object, the present invention provides a method for processing wind power generation set vibration data, the method for processing wind power generation set vibration data comprising the steps of:
acquiring original vibration evaluation data of a wind power generation group, and acquiring current vibration data and current rotating speed data according to the original vibration evaluation data;
calculating the current vibration data and the current rotating speed data respectively through a target mean square value strategy to obtain a vibration speed mean square value and an acceleration mean square value;
carrying out data calculation on the vibration speed root mean square value and the acceleration root mean square value according to a preset root mean square standard rule;
and preprocessing the current vibration data and the current rotating speed data according to a target parameter format rule.
Optionally, the obtaining the original vibration evaluation data of the wind power generation group, and obtaining the current vibration data and the current rotation speed data according to the original vibration evaluation data includes:
In the running process of the wind power generation set, acquiring original vibration evaluation data of each component of the wind power generation set according to a preset measurement direction;
filtering the original vibration evaluation data according to a preset frequency range and a preset average filtering algorithm to obtain original vibration filtering data;
dividing the original vibration filtering data according to preset data types to obtain current vibration data and current rotating speed data.
Optionally, the calculating, by using a target mean square value policy, the current vibration data and the current rotation speed data to obtain a vibration speed mean square value and an acceleration mean square value includes:
obtaining a vibration mean square value strategy and an acceleration mean square value strategy according to the target mean square value strategy;
obtaining a segmentation evaluation period and filtering acceleration data according to the current rotation speed data;
calculating the segmentation evaluation period and the filtered acceleration data through the speed mean square value strategy to obtain a segmentation evaluation acceleration root mean square value;
calculating the sectional evaluation acceleration root mean square value, the total evaluation period and the sectional evaluation period according to an acceleration root mean square value calculation formula to obtain the acceleration root mean square value;
Obtaining vibration time according to the current vibration data;
calculating vibration speed data according to the vibration time and the filtering acceleration data;
and calculating the segmentation evaluation period and the vibration speed data through the vibration mean square value strategy to obtain a vibration speed root mean square value.
Optionally, the calculating the data of the vibration speed root mean square value and the acceleration root mean square value according to a preset root mean square standard rule includes:
carrying out data calculation on the vibration speed root mean square value and the acceleration root mean square value according to the preset root mean square standard rule to obtain a root mean square value description parameter;
inquiring corresponding standard data units, standard byte numbers and standard byte types according to the root mean square value description parameters;
constructing an initial root mean square value matrix according to the root mean square value description parameters, and constructing a standard data matrix according to standard data units, standard byte numbers and standard byte types;
comparing and calculating the initial root mean square value matrix and the standard data matrix according to a target comparison strategy to obtain a current matrix comparison difference degree;
and when the comparison difference of the current matrix is not a preset difference threshold, adjusting the current data unit, the current byte number and the current byte type of the initial root mean square value matrix according to the construction standard data matrix.
Optionally, the preprocessing the current vibration data and the current rotation speed data according to the target parameter format rule includes:
generating a corresponding vibration original file according to the current vibration data, and generating a corresponding rotation speed original file according to the current rotation speed data;
creating a target format header file according to the target parameter format rule;
and preprocessing the vibration original file, the target format header file and the rotating speed original file according to a target parameter format rule.
Optionally, the preprocessing the vibration original file, the target format header file, and the rotation speed original file according to a target parameter format rule includes:
acquiring generation time of the vibration original file and the rotation speed original file, and converting the generation time into a timestamp in a target format;
acquiring a channel for acquiring original vibration evaluation data, and setting a corresponding channel number according to the channel;
naming the vibration original file and the rotation speed original file according to the time stamp, the channel number, the centralized control center abbreviation, the wind field abbreviation, the fan code, the time stamp, the channel number, the sensor number and the data type;
Splicing the current vibration data with the target format header file according to the target parameter format rule to obtain a target vibration file;
and splicing the current rotating speed data with the target format header file according to the target parameter format rule to obtain a target rotating speed file.
Optionally, after preprocessing the current vibration data and the current rotation speed data according to the target parameter format rule, the method further includes:
generating standard vibration data according to the target vibration file, the target rotating speed file, the adjusted vibration speed root mean square value and the adjusted acceleration root mean square value;
transmitting the standard vibration data to target vibration diagnosis equipment through a target data communication strategy by adopting a target transmission protocol, so that the target vibration diagnosis equipment diagnoses the standard vibration data according to a target order analysis strategy, and when a diagnosis result is larger than a preset vibration peak value, dangerous early warning information is generated and fed back;
and determining a corresponding danger releasing strategy according to the danger early warning information, and adjusting the components of the wind power generation set according to the danger releasing strategy.
In addition, in order to achieve the above object, the present invention also provides a device for processing wind power generation set vibration data, the device for processing wind power generation set vibration data comprising:
The acquisition module is used for acquiring original vibration evaluation data of the wind power generation group and acquiring current vibration data and current rotating speed data according to the original vibration evaluation data;
the calculation module is used for respectively calculating the current vibration data and the current rotating speed data through a target mean square value strategy to obtain a vibration speed mean square value and an acceleration mean square value;
the estimating module is used for carrying out data estimation on the vibration speed root mean square value and the acceleration root mean square value according to a preset root mean square standard rule;
and the processing module is used for preprocessing the current vibration data and the current rotating speed data according to the target parameter format rule.
In addition, to achieve the above object, the present invention also proposes a processing apparatus of wind power generation set vibration data, the processing apparatus of wind power generation set vibration data including: the system comprises a memory, a processor and a processing program of the wind power generation set vibration data, wherein the processing program of the wind power generation set vibration data is stored in the memory and can run on the processor, and the processing program of the wind power generation set vibration data is configured to realize the processing method of the wind power generation set vibration data.
In addition, in order to achieve the above object, the present invention also proposes a storage medium having stored thereon a processing program of wind turbine generator set vibration data, which when executed by a processor, implements the method of processing wind turbine generator set vibration data as described above.
According to the processing method of the vibration data of the wind power generation group, the original vibration evaluation data of the wind power generation group is obtained, and the current vibration data and the current rotating speed data are obtained according to the original vibration evaluation data; calculating the current vibration data and the current rotating speed data respectively through a target mean square value strategy to obtain a vibration speed mean square value and an acceleration mean square value; carrying out data calculation on the vibration speed root mean square value and the acceleration root mean square value according to a preset root mean square standard rule; preprocessing the current vibration data and the current rotating speed data according to a target parameter format rule; through the method, the root mean square value of the wind generating set data meter is calculated, then data calculation is carried out according to the preset root mean square standard rule, and preprocessing is carried out according to the target parameter format rule, so that the final file and data meet the diagnosis requirement, and further automatic analysis of the wind generating set running at variable rotation speed is realized.
Drawings
FIG. 1 is a schematic diagram of a processing device for wind turbine group vibration data in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flow chart of a first embodiment of a method for processing vibration data of a wind turbine generator system according to the present invention;
FIG. 3 is a flow chart of a second embodiment of a method for processing vibration data of a wind turbine generator system according to the present invention;
fig. 4 is a schematic functional block diagram of a first embodiment of a processing device for vibration data of a wind turbine generator system according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a processing device for wind turbine generator set vibration data in a hardware operation environment according to an embodiment of the present invention.
As shown in fig. 1, the wind power generation set vibration data processing apparatus may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the processing device of the wind power generation set vibration data, and may include more or fewer components than shown, or may combine certain components, or may be arranged in different components.
As shown in fig. 1, a memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a processing program of wind power generation set vibration data.
In the wind power generation set vibration data processing device shown in fig. 1, the network interface 1004 is mainly used for data communication with a network integrated platform workstation; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the wind power generation set vibration data processing device of the present invention may be disposed in the wind power generation set vibration data processing device, where the wind power generation set vibration data processing device invokes a processing program of the wind power generation set vibration data stored in the memory 1005 through the processor 1001, and executes a processing method of the wind power generation set vibration data provided by the embodiment of the present invention.
Based on the hardware structure, the embodiment of the method for processing the vibration data of the wind power generation set is provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of a method for processing vibration data of a wind turbine according to the present invention.
In a first embodiment, the method for processing vibration data of a wind power generation set includes the steps of:
step S10, original vibration evaluation data of the wind power generation group are obtained, and current vibration data and current rotating speed data are obtained according to the original vibration evaluation data.
It should be noted that, the execution body of the embodiment is a processing device of vibration data of a wind power generation set, and may be other devices that can implement the same or similar functions, for example, a vibration data controller, etc., which is not limited in this embodiment, and in this embodiment, a vibration data controller is taken as an example.
It should be understood that a wind power generation set refers to a combination of individual components for wind power generation, including, but not limited to, a main bearing, a gear box, a generator, a nacelle, a tower, etc., and raw vibration evaluation data refers to vibration data of individual components of the wind power generation set during operation, by which an operation performance index of the wind power generation set can be evaluated, and then the raw vibration data and current rotational speed data are based on the data type.
Further, step S10 includes: in the running process of the wind power generation set, acquiring original vibration evaluation data of each component of the wind power generation set according to a preset measurement direction; filtering the original vibration evaluation data according to a preset frequency range and a preset average filtering algorithm to obtain original vibration filtering data; dividing the original vibration filtering data according to preset data types to obtain current vibration data and current rotating speed data.
It may be understood that the preset measurement direction refers to a direction in which original vibration evaluation data of each component is collected, where the preset measurement direction includes, but is not limited to, a radial direction, an axial direction, a transverse direction, and the like, and measurement directions corresponding to different components are different, for example, a measurement direction of a main bearing is a radial direction, a measurement direction of a generator is a radial direction+an axial direction, a measurement direction of a nacelle is an axial direction+a transverse direction, and the like, the preset average filtering algorithm refers to an algorithm for filtering the original vibration evaluation data, and the preset average filtering algorithm may be a de-thresholding arithmetic average filtering algorithm, specifically, the original vibration evaluation data is subjected to de-extremum processing by the preset average filtering algorithm, and then the processed original vibration evaluation data is selected according to a preset frequency range, so as to obtain the original vibration filtering data, where a calculation formula is:
Wherein,for the original vibration filtering data, n is the number of the original vibration evaluation data, p is the number of the removed extreme values, m max Evaluating data for maximum raw vibration, m min Evaluating data for minimum raw vibration, m pmax Evaluating data for p-th largest raw vibration, m pmin Data were evaluated for the p-th small raw vibration.
And S20, respectively calculating the current vibration data and the current rotating speed data through a target mean square value strategy to obtain a vibration speed mean square value and an acceleration mean square value.
It is understood that the target mean square value strategy refers to a strategy of calculating a mean square value of data, the target mean square value strategy including a vibration mean square value strategy for calculating a vibration velocity mean square value and an acceleration mean square value strategy for calculating an acceleration mean square value.
Further, step S20 includes: obtaining a vibration mean square value strategy and an acceleration mean square value strategy according to the target mean square value strategy; obtaining a segmentation evaluation period and filtering acceleration data according to the current rotation speed data; calculating the segmentation evaluation period and the filtered acceleration data through the speed mean square value strategy to obtain a segmentation evaluation acceleration root mean square value; calculating the sectional evaluation acceleration root mean square value, the total evaluation period and the sectional evaluation period according to an acceleration root mean square value calculation formula to obtain the acceleration root mean square value; obtaining vibration time according to the current vibration data; calculating vibration speed data according to the vibration time and the filtering acceleration data; and calculating the segmentation evaluation period and the vibration speed data through the vibration mean square value strategy to obtain a vibration speed root mean square value.
It should be understood that the range of the segment evaluation period is not less than 60 seconds, the filtered acceleration data is the acceleration data in the original vibration filtered data, and after the segment evaluation period and the filtered acceleration data are obtained, the segment evaluation acceleration root mean square value is calculated through a velocity mean square value strategy, which specifically includes:
wherein alpha is rmswe Is segmented intoEvaluating the root mean square value of acceleration, wherein Te is a sectional evaluation period, and alpha is calculated by using the sectional evaluation period w(t) For filtering acceleration data, t is the vibration time.
It can be understood that after the sectional evaluation of the acceleration root mean square value is obtained, the acceleration root mean square value is calculated according to an acceleration root mean square value calculation formula, specifically:
wherein alpha is rmsw0 Is the root mean square value of acceleration, T 0 For the total evaluation period, te is the segment evaluation period, alpha rmswe Acceleration root mean square values were evaluated for the segments.
It should be understood that after obtaining the vibration time, integrating the vibration time and the filtered acceleration data to obtain vibration velocity data, and then calculating a vibration velocity root mean square value through a vibration mean square value strategy, specifically:
wherein v is the root mean square value of vibration velocity, te is the segment evaluation period, v w(t) And t is vibration time.
And S30, carrying out data calculation on the vibration speed root mean square value and the acceleration root mean square value according to a preset root mean square standard rule.
It should be understood that the preset root mean square standard rule refers to standard rules of respective mean square values including, but not limited to, byte numbers including 2, 4, and 8, byte types including byte, int, short, long, and float, data units, and the like, and data ranges including ms, m/s 2 And mm/s and rmp, and adjusting the vibration speed root mean square value and the acceleration root mean square value according to the calculated data.
Further, step S30 includes: carrying out data calculation on the vibration speed root mean square value and the acceleration root mean square value according to the preset root mean square standard rule to obtain a root mean square value description parameter; inquiring corresponding standard data units, standard byte numbers and standard byte types according to the root mean square value description parameters; constructing an initial root mean square value matrix according to the root mean square value description parameters, and constructing a standard data matrix according to standard data units, standard byte numbers and standard byte types; comparing and calculating the initial root mean square value matrix and the standard data matrix according to a target comparison strategy to obtain a current matrix comparison difference degree; and when the comparison difference of the current matrix is not a preset difference threshold, adjusting the current data unit, the current byte number and the current byte type of the initial root mean square value matrix according to the construction standard data matrix.
It may be understood that, the initial rms matrix refers to a matrix formed by rms description parameters, and similarly, the standard data matrix refers to a matrix formed by standard data units, standard byte numbers and standard byte types, in order to effectively improve the efficiency and accuracy of data adjustment, in this embodiment, the comparison calculation is performed in a matrix form, the preset difference threshold is 0, when the comparison difference of the current matrix is not the preset difference threshold, it indicates that there is a data difference between the initial rms matrix and the standard data matrix, and at this time, the current data units, the current byte numbers and the current byte types of the initial rms matrix need to be adjusted, for example, the rms value of the vibration speed lacks data units, the byte type errors of the acceleration rms value, the rms value byte number errors of the vibration speed, and so on, specifically, the comparison difference of the current matrix is calculated by the following formula:
wherein T is the current matrix comparison difference degree, a is the current data unit, b is the standard data unit, c is the current byte number, d is the standard byte number, e is the current byte type, and f is the standard byte type.
And step S40, preprocessing the current vibration data and the current rotating speed data according to a target parameter format rule.
It is understood that the target parameter format rule refers to a format rule of vibration data analysis, and the current vibration data and the current rotation speed data are preprocessed through the target parameter format rule, where preprocessing includes header file creation, data and file splicing, file naming, and the like.
Further, after step S40, the method further includes: generating standard vibration data according to the target vibration file, the target rotating speed file, the adjusted vibration speed root mean square value and the adjusted acceleration root mean square value; transmitting the standard vibration data to target vibration diagnosis equipment through a target data communication strategy by adopting a target transmission protocol, so that the target vibration diagnosis equipment diagnoses the standard vibration data according to a target order analysis strategy, and when a diagnosis result is larger than a preset vibration peak value, dangerous early warning information is generated and fed back; and determining a corresponding danger releasing strategy according to the danger early warning information, and adjusting the components of the wind power generation set according to the danger releasing strategy.
It should be understood that the standard vibration data refers to vibration data satisfying automatic analysis performed by a target vibration diagnosis device, the standard vibration data is generated by a target vibration file, a target rotation speed file, an adjusted vibration speed root mean square value and an adjusted acceleration root mean square value, the target vibration diagnosis device refers to a device performing automatic analysis diagnosis on vibration data of a wind power generation set, specifically, after receiving the standard vibration data, the standard vibration data is analyzed and diagnosed by adopting a target order analysis strategy, if vibration greater than a preset vibration peak exists as a result of diagnosis, danger early warning information is generated and fed back, then components of the wind power generation set are adjusted according to a danger cancellation strategy corresponding to the danger early warning information, the target transmission protocol can be a TCP/IP protocol, and the target data communication strategy includes short-link data communication and a small-end mode.
According to the embodiment, original vibration evaluation data of a wind power generation group are obtained, and current vibration data and current rotating speed data are obtained according to the original vibration evaluation data; calculating the current vibration data and the current rotating speed data respectively through a target mean square value strategy to obtain a vibration speed mean square value and an acceleration mean square value; carrying out data calculation on the vibration speed root mean square value and the acceleration root mean square value according to a preset root mean square standard rule; preprocessing the current vibration data and the current rotating speed data according to a target parameter format rule; through the method, the root mean square value of the wind generating set data meter is calculated, then data calculation is carried out according to the preset root mean square standard rule, and preprocessing is carried out according to the target parameter format rule, so that the final file and data meet the diagnosis requirement, and further automatic analysis of the wind generating set running at variable rotation speed is realized.
In an embodiment, as shown in fig. 3, a second embodiment of a method for processing vibration data of a wind turbine generator set according to the present invention is provided based on the first embodiment, and the step S40 includes:
step S401, generating a corresponding vibration original file according to the current vibration data, and generating a corresponding rotation speed original file according to the current rotation speed data.
It should be understood that the vibration original file refers to a file generated from current vibration data, and likewise, the rotation speed original file is a file generated from current rotation speed data, and file formats of the vibration original file and the rotation speed original file may be mkv, flv, dat, and the like.
Step S402, a target format header file is created according to the target parameter format rule.
It will be appreciated that the target format header file is created according to target parameter format rules, and specific target formats include, but are not limited to, size, storage form, data type, and data encoding format, for example, size 512Bytes, storage form binary, data type float, string, and data encoding format UTF-8.
Step S403, preprocessing the vibration original file, the target format header file, and the rotation speed original file according to a target parameter format rule.
It should be understood that after the vibration original file, the target format header file and the conversion original file are obtained, the vibration original file, the target format header file and the conversion original file are subjected to data and file splicing and file naming according to the target parameter format rule.
Further, step S403 includes: acquiring generation time of the vibration original file and the rotation speed original file, and converting the generation time into a timestamp in a target format; acquiring a channel for acquiring original vibration evaluation data, and setting a corresponding channel number according to the channel; naming the vibration original file and the rotation speed original file according to the time stamp, the channel number, the centralized control center abbreviation, the wind field abbreviation, the fan code, the time stamp, the channel number, the sensor number and the data type; splicing the current vibration data with the target format header file according to the target parameter format rule to obtain a target vibration file; and splicing the current rotating speed data with the target format header file according to the target parameter format rule to obtain a target rotating speed file.
It may be understood that, the generation time refers to the time when the current vibration data generates the vibration original file, and the corresponding rotation speed original file is generated according to the current rotation speed data, the vibration original file and the rotation speed original file may be generated simultaneously, then the generation time is converted into a timestamp in a target format, the target format is yyyMMddHmmSS, then a corresponding channel number is set according to a channel for collecting the original vibration evaluation data, for example, the channel is the first channel, the set channel number is 02, and then the file is named according to the timestamp, the channel number, the centralized control center abbreviation, the wind field abbreviation, the fan code, the timestamp, the channel number, the sensor number and the data type, and the specific naming format is: the centralized control center is abbreviated as wind field, fan code, time stamp, channel, sensor number and data type dat, the file name is JX_JS_001_20200306123526_02_01_partition for the vibration original file, and the file name is YHS _JXYH_006_202008261524_06_02_02_speed for the rotation speed original file.
It should be appreciated that after the target format header file is obtained, the format rules are formatted according to the target parametersSplicing the target format header file with each data, for example, for the current vibration data, the finally spliced target vibration file is the target format header file+the current vibration data, the target vibration data type is float, and the data unit is m/s 2 For the current rotating speed data, the finally spliced target rotating speed file is a target format header file+the current rotating speed data, the data type is float, and the data unit is rmp.
According to the embodiment, a corresponding vibration original file is generated according to the current vibration data, and a corresponding rotation speed original file is generated according to the current rotation speed data; creating a target format header file according to the target parameter format rule; preprocessing the vibration original file, the target format header file and the rotation speed original file according to a target parameter format rule; by the method, the corresponding vibration original file is generated according to the current vibration data, the corresponding rotation speed original file is generated according to the current rotation speed data, then the target format header file is created based on the target parameter format rule, the target format header file is spliced with each data by utilizing the target parameter format rule, and the vibration original file and the rotation speed original file are named, so that the efficiency and the accuracy of processing the file and the data can be effectively improved, and finally the obtained file and the data meet the automatic diagnosis requirement.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium stores a processing program of the wind power generation set vibration data, and the processing program of the wind power generation set vibration data realizes the steps of the processing method of the wind power generation set vibration data when being executed by a processor.
Because the storage medium adopts all the technical schemes of all the embodiments, the storage medium has at least all the beneficial effects brought by the technical schemes of the embodiments, and the description is omitted here.
In addition, referring to fig. 4, an embodiment of the present invention further provides a device for processing wind turbine generator set vibration data, where the device for processing wind turbine generator set vibration data includes:
the acquisition module 10 is used for acquiring original vibration evaluation data of the wind power generation group, and obtaining current vibration data and current rotating speed data according to the original vibration evaluation data.
And the calculating module 20 is used for respectively calculating the current vibration data and the current rotating speed data through a target mean square value strategy to obtain a vibration speed mean square value and an acceleration mean square value.
And the calculating module 30 is used for carrying out data calculation on the vibration speed root mean square value and the acceleration root mean square value according to a preset root mean square standard rule.
And the processing module 40 is used for preprocessing the current vibration data and the current rotating speed data according to a target parameter format rule.
According to the embodiment, original vibration evaluation data of a wind power generation group are obtained, and current vibration data and current rotating speed data are obtained according to the original vibration evaluation data; calculating the current vibration data and the current rotating speed data respectively through a target mean square value strategy to obtain a vibration speed mean square value and an acceleration mean square value; carrying out data calculation on the vibration speed root mean square value and the acceleration root mean square value according to a preset root mean square standard rule; preprocessing the current vibration data and the current rotating speed data according to a target parameter format rule; through the method, the root mean square value of the wind generating set data meter is calculated, then data calculation is carried out according to the preset root mean square standard rule, and preprocessing is carried out according to the target parameter format rule, so that the final file and data meet the diagnosis requirement, and further automatic analysis of the wind generating set running at variable rotation speed is realized.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present invention, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
In addition, technical details not described in detail in the present embodiment may refer to the method for processing vibration data of a wind turbine generator set provided in any embodiment of the present invention, which is not described herein again.
In an embodiment, the obtaining module 10 is further configured to collect, during operation of the wind power generation set, raw vibration evaluation data of each component of the wind power generation set according to a preset measurement direction; filtering the original vibration evaluation data according to a preset frequency range and a preset average filtering algorithm to obtain original vibration filtering data; dividing the original vibration filtering data according to preset data types to obtain current vibration data and current rotating speed data.
In an embodiment, the calculating module 20 is further configured to obtain a vibration mean square value policy and an acceleration mean square value policy according to the target mean square value policy; obtaining a segmentation evaluation period and filtering acceleration data according to the current rotation speed data; calculating the segmentation evaluation period and the filtered acceleration data through the speed mean square value strategy to obtain a segmentation evaluation acceleration root mean square value; calculating the sectional evaluation acceleration root mean square value, the total evaluation period and the sectional evaluation period according to an acceleration root mean square value calculation formula to obtain the acceleration root mean square value; obtaining vibration time according to the current vibration data; calculating vibration speed data according to the vibration time and the filtering acceleration data; and calculating the segmentation evaluation period and the vibration speed data through the vibration mean square value strategy to obtain a vibration speed root mean square value.
In an embodiment, the calculating module 30 is further configured to calculate the root mean square value of the vibration velocity and the root mean square value of the acceleration according to the preset root mean square standard rule, so as to obtain a root mean square value description parameter; inquiring corresponding standard data units, standard byte numbers and standard byte types according to the root mean square value description parameters; constructing an initial root mean square value matrix according to the root mean square value description parameters, and constructing a standard data matrix according to standard data units, standard byte numbers and standard byte types; comparing and calculating the initial root mean square value matrix and the standard data matrix according to a target comparison strategy to obtain a current matrix comparison difference degree; and when the comparison difference of the current matrix is not a preset difference threshold, adjusting the current data unit, the current byte number and the current byte type of the initial root mean square value matrix according to the construction standard data matrix.
In an embodiment, the processing module 40 is further configured to generate a corresponding vibration original file according to the current vibration data, and generate a corresponding rotation speed original file according to the current rotation speed data; creating a target format header file according to the target parameter format rule; and preprocessing the vibration original file, the target format header file and the rotating speed original file according to a target parameter format rule.
In an embodiment, the processing module 40 is further configured to obtain a generation time of the vibration original file and the rotation speed original file, and convert the generation time into a timestamp in a target format; acquiring a channel for acquiring original vibration evaluation data, and setting a corresponding channel number according to the channel; naming the vibration original file and the rotation speed original file according to the time stamp, the channel number, the centralized control center abbreviation, the wind field abbreviation, the fan code, the time stamp, the channel number, the sensor number and the data type; splicing the current vibration data with the target format header file according to the target parameter format rule to obtain a target vibration file; and splicing the current rotating speed data with the target format header file according to the target parameter format rule to obtain a target rotating speed file.
In one embodiment, the processing module 40 is further configured to generate standard vibration data according to the target vibration file, the target rotation speed file, the adjusted vibration speed root mean square value, and the adjusted acceleration root mean square value; transmitting the standard vibration data to target vibration diagnosis equipment through a target data communication strategy by adopting a target transmission protocol, so that the target vibration diagnosis equipment diagnoses the standard vibration data according to a target order analysis strategy, and when a diagnosis result is larger than a preset vibration peak value, dangerous early warning information is generated and fed back; and determining a corresponding danger releasing strategy according to the danger early warning information, and adjusting the components of the wind power generation set according to the danger releasing strategy.
Other embodiments of the processing device for vibration data of a wind turbine generator system or the implementation method thereof can refer to the above method embodiments, and are not redundant here.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. Read Only Memory)/RAM, magnetic disk, optical disk) and including several instructions for causing a terminal device (which may be a mobile phone, a computer, an integrated platform workstation, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (8)
1. The method for processing the vibration data of the wind power generation group is characterized by comprising the following steps of:
acquiring original vibration evaluation data of a wind power generation group, and acquiring current vibration data and current rotating speed data according to the original vibration evaluation data;
calculating the current vibration data and the current rotating speed data respectively through a target mean square value strategy to obtain a vibration speed mean square value and an acceleration mean square value;
carrying out data calculation on the vibration speed root mean square value and the acceleration root mean square value according to a preset root mean square standard rule;
preprocessing the current vibration data and the current rotating speed data according to a target parameter format rule;
the preprocessing the current vibration data and the current rotating speed data according to the target parameter format rule comprises the following steps:
Generating a corresponding vibration original file according to the current vibration data, and generating a corresponding rotation speed original file according to the current rotation speed data;
creating a target format header file according to the target parameter format rule;
preprocessing the vibration original file, the target format header file and the rotation speed original file according to a target parameter format rule;
the preprocessing of the vibration original file, the target format header file and the rotation speed original file according to the target parameter format rule comprises the following steps:
acquiring generation time of the vibration original file and the rotation speed original file, and converting the generation time into a timestamp in a target format;
acquiring a channel for acquiring original vibration evaluation data, and setting a corresponding channel number according to the channel;
naming the vibration original file and the rotation speed original file according to the time stamp, the channel number, the centralized control center abbreviation, the wind field abbreviation, the fan code, the time stamp, the channel number, the sensor number and the data type;
splicing the current vibration data with the target format header file according to the target parameter format rule to obtain a target vibration file;
And splicing the current rotating speed data with the target format header file according to the target parameter format rule to obtain a target rotating speed file.
2. The method for processing vibration data of a wind power generation set according to claim 1, wherein the obtaining raw vibration evaluation data of the wind power generation set, and obtaining current vibration data and current rotational speed data according to the raw vibration evaluation data, comprises:
in the running process of the wind power generation set, acquiring original vibration evaluation data of each component of the wind power generation set according to a preset measurement direction;
filtering the original vibration evaluation data according to a preset frequency range and a preset average filtering algorithm to obtain original vibration filtering data;
dividing the original vibration filtering data according to preset data types to obtain current vibration data and current rotating speed data.
3. The method for processing vibration data of a wind power generation set according to claim 1, wherein the calculating the current vibration data and the current rotational speed data by the target mean square value strategy to obtain a vibration speed mean square value and an acceleration mean square value, respectively, comprises:
obtaining a vibration mean square value strategy and an acceleration mean square value strategy according to the target mean square value strategy;
Obtaining a segmentation evaluation period and filtering acceleration data according to the current rotation speed data;
calculating the segmentation evaluation period and the filtered acceleration data through the speed mean square value strategy to obtain a segmentation evaluation acceleration root mean square value;
calculating the sectional evaluation acceleration root mean square value, the total evaluation period and the sectional evaluation period according to an acceleration root mean square value calculation formula to obtain the acceleration root mean square value;
obtaining vibration time according to the current vibration data;
calculating vibration speed data according to the vibration time and the filtering acceleration data;
and calculating the segmentation evaluation period and the vibration speed data through the vibration mean square value strategy to obtain a vibration speed root mean square value.
4. The method for processing vibration data of a wind turbine generator system according to claim 1, wherein the data calculation of the vibration speed root mean square value and the acceleration root mean square value according to a preset root mean square standard rule comprises:
carrying out data calculation on the vibration speed root mean square value and the acceleration root mean square value according to the preset root mean square standard rule to obtain a root mean square value description parameter;
inquiring corresponding standard data units, standard byte numbers and standard byte types according to the root mean square value description parameters;
Constructing an initial root mean square value matrix according to the root mean square value description parameters, and constructing a standard data matrix according to standard data units, standard byte numbers and standard byte types;
comparing and calculating the initial root mean square value matrix and the standard data matrix according to a target comparison strategy to obtain a current matrix comparison difference degree;
and when the comparison difference of the current matrix is not a preset difference threshold, adjusting the current data unit, the current byte number and the current byte type of the initial root mean square value matrix according to the construction standard data matrix.
5. The method for processing wind power generation group vibration data according to any one of claims 1 to 4, wherein after preprocessing the current vibration data and the current rotation speed data according to a target parameter format rule, further comprising:
generating standard vibration data according to the target vibration file, the target rotating speed file, the adjusted vibration speed root mean square value and the adjusted acceleration root mean square value;
transmitting the standard vibration data to target vibration diagnosis equipment through a target data communication strategy by adopting a target transmission protocol, so that the target vibration diagnosis equipment diagnoses the standard vibration data according to a target order analysis strategy, and when a diagnosis result is larger than a preset vibration peak value, dangerous early warning information is generated and fed back;
And determining a corresponding danger releasing strategy according to the danger early warning information, and adjusting the components of the wind power generation set according to the danger releasing strategy.
6. A processing device for vibration data of a wind power generation set, wherein the processing device for vibration data of a wind power generation set comprises:
the acquisition module is used for acquiring original vibration evaluation data of the wind power generation group and acquiring current vibration data and current rotating speed data according to the original vibration evaluation data;
the calculation module is used for respectively calculating the current vibration data and the current rotating speed data through a target mean square value strategy to obtain a vibration speed mean square value and an acceleration mean square value;
the estimating module is used for carrying out data estimation on the vibration speed root mean square value and the acceleration root mean square value according to a preset root mean square standard rule;
the processing module is used for preprocessing the current vibration data and the current rotating speed data according to a target parameter format rule;
the processing module is further used for generating a corresponding vibration original file according to the current vibration data and generating a corresponding rotation speed original file according to the current rotation speed data; creating a target format header file according to the target parameter format rule; preprocessing the vibration original file, the target format header file and the rotation speed original file according to a target parameter format rule;
The processing module is further used for obtaining the generation time of the vibration original file and the rotation speed original file and converting the generation time into a time stamp in a target format; acquiring a channel for acquiring original vibration evaluation data, and setting a corresponding channel number according to the channel; naming the vibration original file and the rotation speed original file according to the time stamp, the channel number, the centralized control center abbreviation, the wind field abbreviation, the fan code, the time stamp, the channel number, the sensor number and the data type; splicing the current vibration data with the target format header file according to the target parameter format rule to obtain a target vibration file; and splicing the current rotating speed data with the target format header file according to the target parameter format rule to obtain a target rotating speed file.
7. A processing apparatus for wind power generation group vibration data, characterized in that the processing apparatus for wind power generation group vibration data comprises: a memory, a processor and a processing program of wind power generation set vibration data stored on the memory and operable on the processor, the processing program of wind power generation set vibration data being configured with a processing method for realizing the wind power generation set vibration data according to any one of claims 1 to 5.
8. A storage medium, wherein a processing program of wind power generation group vibration data is stored on the storage medium, and the processing program of wind power generation group vibration data realizes the processing method of wind power generation group vibration data according to any one of claims 1 to 5 when executed by a processor.
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