CN108021774A - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
- Publication number
- CN108021774A CN108021774A CN201711459101.5A CN201711459101A CN108021774A CN 108021774 A CN108021774 A CN 108021774A CN 201711459101 A CN201711459101 A CN 201711459101A CN 108021774 A CN108021774 A CN 108021774A
- Authority
- CN
- China
- Prior art keywords
- data
- wind
- influence
- survey
- revised
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Indicating Or Recording The Presence, Absence, Or Direction Of Movement (AREA)
Abstract
The embodiment of the present application discloses a kind of data processing method and device, for being revised according to factor of influence to surveying the target data to be revised in wind data, improves the validity and accuracy for surveying wind data.The embodiment of the present application method includes：Obtain and survey wind data；Target data to be revised in the survey wind data is determined according to tower shadow parameter list, the tower shadow parameter list includes the parameter for surveying influence of the wind devices to each wind regime；The corresponding factor of influence of the target data is determined according to the tower shadow parameter list, the factor of influence is the parameter of influence of the survey wind devices to each wind regime；The target data is revised according to the factor of influence.
Description
Technical field
This application involves wind-resources analysis technical field, more particularly to a kind of data processing method and device.
Background technology
The critical facilities such as nuclear power, chemical industry, wind power plant, or the wind resistance safe design of pile etc. and production run etc.,
Need the local wind regime of measurement.
At present, measurement wind regime needs to set special anemometer tower, and wind devices are surveyed in installation on anemometer tower, when carrying out one section
Between or the observation of prolonged wind regime, by the observation of the survey wind devices on anemometer tower, the survey wind data of locality is obtained, after being used for
The wind-resources analysis of phase.
When measuring wind regime, installation surveys wind devices and wind regime is observed on anemometer tower, but wind flows through anemometer tower at this time,
The change in flow field can be produced by running into when surveying wind devices, influence direction and the size of wind vector, then measuring apparatus measures at this time
Survey wind data out will differ larger with the data of wind regime reality, therefore can influence to survey the validity of wind data, reduce
Survey the accuracy of wind data.
The content of the invention
The embodiment of the present application provides a kind of data processing method and device, for according to factor of influence to survey wind data
In target data to be revised revised, improve survey wind data validity and accuracy.
In a first aspect, the embodiment of the present application provides a kind of data processing method, including：
Obtain and survey wind data；
Target data to be revised in the survey wind data is determined according to tower shadow parameter list, the tower shadow parameter list includes
Survey the parameter of influence of the wind devices to each wind regime；
The corresponding factor of influence of the target data is determined according to the tower shadow parameter list, the factor of influence is the survey
The parameter of influence of the wind devices to each wind regime；
The target data is revised according to the factor of influence.
In a kind of possible implementation, the mesh to be revised determined according to tower shadow parameter list in the survey wind data
Before marking data, the method further includes：
Obtain the corresponding landform map file in anemometer tower present position；
The landform map file is parsed, obtains relief model；
The physical model of the anemometer tower present position is established according to the relief model；
According to the anemometer tower under the conditions of the physical model calculating difference wind speed and wind direction of the anemometer tower present position
The Flow Field Distribution of present position, obtains the first result of calculation；
The physical model for the anemometer tower present position for being provided with the survey wind devices is established according to the relief model；
According to different wind speed described in the physical model calculating of the anemometer tower present position for being provided with the survey wind devices
And the Flow Field Distribution for being provided with the anemometer tower present position for surveying wind devices under the conditions of wind direction, obtain the second calculating knot
Fruit；
The tower shadow parameter list, the tower shadow parameter are generated according to first result of calculation and second result of calculation
Table includes the parameter of influence of the survey wind devices to each wind regime.
In alternatively possible implementation, it is described according to tower shadow parameter list determine it is described survey wind data in it is to be revised
Target data includes：
The every group of wind speed and wind direction value in the survey wind data are determined from the survey wind data；
Influence corresponding with every group of wind speed in the survey wind data and wind direction value is obtained from the tower shadow parameter list
The factor, the factor of influence have correspondence with every group of wind speed and wind direction value, and every group of wind speed and wind direction value correspond to
One factor of influence；
Determine more than default influence value the survey wind data in every group of wind speed and the corresponding influence of wind direction value because
The corresponding data of son are the target data to be revised.
It is described that the corresponding shadow of the target data is determined according to the tower shadow parameter list in alternatively possible implementation
Ringing the factor includes：
Every group of wind speed and the wind direction value in the target data are determined from the target data；
Influence corresponding with every group of wind speed in the target data and wind direction value is obtained from the tower shadow parameter list
The factor, the factor of influence have correspondence with every group of wind speed and wind direction value, and every group of wind speed and wind direction value correspond to
One factor of influence.
In alternatively possible implementation, described obtain is surveyed after wind data, described to determine institute according to tower shadow parameter list
State before surveying the target data to be revised in wind data, the method further includes：
Classification processing is carried out to the survey wind data, obtains the first data and the second data, first data be up to
To the data of default value up to standard, second data are the data of the not up to default value up to standard；
Data group in first data establishes operational model, and the data group is each in first data
Survey the data that corresponding each data for surveying wind height in the wind time reach the default value up to standard；
For the same survey wind time and it is to reach described default according to the operational model and with second data
Revised second data are calculated in first data of value up to standard；
Determine that first data and revised second data are revised survey wind data；
It is described to determine that the target data to be revised in the survey wind data includes according to tower shadow parameter list：
The revised target data to be revised surveyed in wind data is determined according to tower shadow parameter list.
Second aspect, the embodiment of the present application provide a kind of data processing equipment, including：
First acquisition unit, wind data is surveyed for obtaining；
First determination unit, for determining the target data to be revised in the survey wind data according to tower shadow parameter list,
The tower shadow parameter list includes the parameter for surveying influence of the wind devices to each wind regime；
Second determination unit, for determining the corresponding factor of influence of the target data, institute according to the tower shadow parameter list
State parameter of the factor of influence for influence of the survey wind devices to each wind regime；
Unit is revised, for being revised according to the factor of influence to the target data.
In a kind of possible implementation, the data processing equipment further includes：
Second acquisition unit, for obtaining the corresponding landform map file in anemometer tower present position；
Resolution unit, for parsing the landform map file, obtains relief model；
First establishes unit, for establishing the physical model of the anemometer tower present position according to the relief model；
First computing unit, for the physical model calculating difference wind speed and wind direction according to the anemometer tower present position
Under the conditions of the anemometer tower present position Flow Field Distribution, obtain the first result of calculation；
Second establishes unit, and position residing for the anemometer tower of the survey wind devices is provided with for being established according to the relief model
The physical model put；
Second computing unit, the physical model of the anemometer tower present position for being provided with the survey wind devices according to
The flow field for being provided with the anemometer tower present position for surveying wind devices is divided under the conditions of calculating the different wind speed and wind direction
Cloth, obtains the second result of calculation；
Generation unit, for generating the tower shadow parameter according to first result of calculation and second result of calculation
Table, the tower shadow parameter list include the parameter of influence of the survey wind devices to each wind regime.
In alternatively possible implementation, first determination unit is specifically used for：
The every group of wind speed and wind direction value in the survey wind data are determined from the survey wind data；
Influence corresponding with every group of wind speed in the survey wind data and wind direction value is obtained from the tower shadow parameter list
The factor, the factor of influence have correspondence with every group of wind speed and wind direction value, and every group of wind speed and wind direction value correspond to
One factor of influence；
Determine more than default influence value the survey wind data in every group of wind speed and the corresponding influence of wind direction value because
The corresponding data of son are the target data to be revised.
In alternatively possible implementation, second determination unit is specifically used for：
Every group of wind speed and the wind direction value in the target data are determined from the target data；
Influence corresponding with every group of wind speed in the target data and wind direction value is obtained from the tower shadow parameter list
The factor, the factor of influence have correspondence with every group of wind speed and wind direction value, and every group of wind speed and wind direction value correspond to
One factor of influence.
In alternatively possible implementation, the data processing equipment further includes：
Classification processing unit, for carrying out classification processing to the survey wind data, obtains the first data and the second data,
First data are to reach the data of default value up to standard, and second data are the number of the not up to default value up to standard
According to；
3rd establishes unit, establishes operational model for the data group in first data, the data group is
Corresponding each data for surveying wind height in the wind time are each surveyed in first data and reach the default value up to standard
Data；
3rd computing unit, for according to the operational model and with second data for it is same survey the wind time and
Revised second data are calculated to reach the first data of the default value up to standard；
3rd determination unit, for determining that first data and revised second data are revised survey
Wind data；
The revision unit is specifically used for determining that revised survey in wind data waits to revise according to tower shadow parameter list
Target data.
The third aspect, the embodiment of the present application additionally provide a kind of data processing equipment, including：
Processor, memory, input-output equipment and bus；
The processor, memory, input-output equipment are connected with the bus respectively, and meter is stored with the memory
Calculation machine instructs；
The processor in the computer instruction in performing the memory, be used for realization as first aspect any one
Implementation.
Fourth aspect, the embodiment of the present application provide a kind of computer program product for including instruction, it is characterised in that when it
When running on computers so that the computer performs the implementation as described in any in first aspect.
5th aspect, the embodiment of the present application provide a kind of computer-readable recording medium, it is characterised in that including instructing,
When described instruction is run on computers so that computer performs the implementation as any one of first aspect.
As can be seen from the above technical solutions, the embodiment of the present application has the following advantages：
Wind data is surveyed as can be seen from the above technical solutions, obtaining, is determined according to tower shadow parameter list to be repaired in the survey wind data
The target data ordered, which includes the parameter for surveying influence of the wind devices to each wind regime, according to the tower shadow parameter list
Determine the corresponding factor of influence of the target data, the parameter of influence of the factor of influence to each wind regime, according to the factor of influence
The target data is revised.Therefore, target to be revised in the survey wind data can be determined according to tower shadow parameter table analysis
Data, can then determine the corresponding factor of influence of the target data according to the tower shadow parameter list, which sets to survey wind
The parameter of the standby influence to each wind regime, then the target data that revision can be treated according to the factor of influence is revised,
This improves the validity and accuracy for surveying wind data.
Brief description of the drawings
Fig. 1 is one embodiment schematic diagram of data processing method in the embodiment of the present application；
Fig. 2 is another embodiment schematic diagram of data processing method in the embodiment of the present application；
Fig. 3 is one embodiment schematic diagram of data processing equipment in the embodiment of the present application.
Embodiment
The embodiment of the present application provides a kind of data processing method and device, for according to factor of influence to survey wind data
In target data to be revised revised, improve survey wind data validity and accuracy.
In data processing, data processing equipment, which is used to obtain, surveys wind data and the processing analysis to surveying wind data
Deng operation.Wherein, it can be in the wind regime data in the critical facility such as nuclear power, chemical industry or wind power plant location to survey wind data, connect
And the survey wind data is analyzed and processed by the data processing equipment, do and join for the addressing subsequently to these critical facilities
Examine.Such as wind power plant addressing process, it is necessary to which the wind regime in the location to building wind power plant is carried out for a long time or at one section
Between observation, at this point it is possible to by building anemometer tower and installing survey wind devices, wind regime is observed by the survey wind devices,
The survey wind data of locality is got, the survey wind data is analyzed and processed by data processing equipment, reasonably selection is optimal
Construction wind power plant place.
It should be noted that the data processing equipment can be terminal, corresponding data processing is provided with the terminal should
With program app or server, do not limit herein specifically.In follow-up embodiment, only using data processing equipment as
The example of terminal illustrates.Wherein, which can be computer, tablet etc., not limit herein specifically.
Below from the angle of terminal, data processing method in the embodiment of the present application is introduced, referring to Fig. 1, this Shen
One embodiment of data processing method it please include in embodiment：
101st, obtain and survey wind data.
Measurement nuclear power, chemical industry or wind power plant addressing ground wind regime can be by the addressing building anemometer tower,
Then wind devices are surveyed in installation on the anemometer tower, by the observation of the survey wind devices to local wind regime, record the locality measured
Wind direction value of wind speed and the wind speed etc. surveys wind data at different moments.The survey wind data surveyed measured by wind devices is imported into by user
In the terminal, then terminal can obtain the survey wind data or the terminal is established with the survey wind devices and connected, the survey
Wind devices send the survey wind data to the terminal, do not limit herein specifically.
102nd, the target data to be revised in the survey wind data is determined according to tower shadow parameter list.
After terminal gets the survey wind data, terminal can determine to be repaired in the survey wind data according to tower shadow parameter list
The target data ordered.Wherein, which can be the mesh to be revised determined according to preset tower shadow parameter list in the survey wind data
Mark data.Specifically, terminal can determine every group of wind speed and the wind direction value in the survey wind data, then from tower shadow parameter list,
As obtained every group of wind speed and the corresponding factor of influence of wind direction value in the survey wind data in table 1, included in the tower shadow parameter list
The parameter of influence of the wind devices to each wind regime is surveyed, which, should to survey the parameter of influence of the wind devices to each wind regime
Factor of influence and every group of wind speed and wind direction value have a correspondence, every group of wind speed and wind direction value correspond to an influence because
Son；Then, terminal may determine that whether every group of wind speed and the corresponding factor of influence of wind direction value are more than default influence value, if
Every group of wind speed and the corresponding factor of influence of wind direction value are more than default influence value, then terminal can determine the factor of influence pair
The data answered are target data to be revised.Such as terminal determine survey wind data in one group of wind speed and wind direction value be (3m/
S, 0 °), then it can determine that the corresponding factor of influence of this group of data is a [1] [1] from table 1, then judge whether a [1] [1] is big
In default influence value, if more than then terminal can determine that this group of data are data to be revised.
Wherein file is wind speed (unit：M/s), the air speed value after wind devices is surveyed with installation as reference；Row is wind direction
(unit：Degree)；A [m] [n] is the corresponding factor of influence of m-th of wind direction value, n-th of wind speed, as shown in table 1：
Table 1
| 0° | 5° | … | 355° | |
| 3m/s | a[1][1] | a[1][2] | … | a[1][n] |
| 3.5m/s | a[2][1] | a[2][2] | … | a[2][n] |
| … | … | … | … | … |
| 15m/s | a[m][1] | a[m][2] | … | a[m][n] |
Note：Direct north is denoted as initial angle, zero degree；
Recording angular (0 °~355 °) clockwise, at intervals of 5 °.
103rd, the corresponding factor of influence of the target data is determined according to the tower shadow parameter list.
After terminal determines target data, terminal can determine the corresponding influence of the target data according to the tower shadow parameter
The factor.Specifically, terminal can determine every group of wind speed and the wind direction value in target data from target data, then join from tower shadow
Factor of influence corresponding with every group of wind speed in the target data and wind direction value is obtained in number table.For example terminal determines number of targets
One group of wind speed and wind direction value in are (3.5m/s, 5 °), then can determine this group of data from tower shadow parameter list at this time
Factor of influence is a [2] [2].
104th, the target data is revised according to the factor of influence.
Terminal is determined after the corresponding factor of influence of target data, it is possible to according to the factor of influence to the target data into
Row revision.Specifically, which can be multiplied by the target data, the factor of influence and the target data positive by terminal
Close, terminal by other means can also revise the target data, not limit herein specifically.
In the embodiment of the present application, terminal, which obtains, surveys wind data, and terminal determines to treat in the survey wind data according to tower shadow parameter list
The target data of revision, the tower shadow parameter list include the parameter for surveying influence of the wind devices to each wind regime, and terminal is according to the tower shadow
Parameter list determines the corresponding factor of influence of the target data, the parameter of influence of the factor of influence to each wind regime, terminal according to
The factor of influence revises the target data.Therefore, terminal can determine the survey wind data according to tower shadow parameter table analysis
In target data to be revised, then terminal the corresponding factor of influence of the target data can be determined according to the tower shadow parameter list,
The factor of influence is the parameter for surveying influence of the wind devices to each wind regime, then terminal can be according to the factor of influence to be repaired
The target data ordered is revised, and this improves the validity and accuracy for surveying wind data.
In the embodiment of the present application, terminal can first divide the integrality for surveying wind data and the reasonability for surveying wind data
Analysis handle simultaneously corrects, then to survey wind data by the surveys wind devices on anemometer tower influenced to be analyzed and revised or end
Direct Analysis survey wind data is influenced to be analyzed and revised by end by the survey wind devices on anemometer tower, is not limited herein specifically
It is fixed.In follow-up embodiment, only first the integrality for surveying wind data and the reasonability for surveying wind data are first divided with terminal
Analysis, which is handled, simultaneously to be corrected, then is influenced to be analyzed by the survey wind devices on anemometer tower and said exemplified by being revised to surveying wind data
It is bright.
In the embodiment of the present application, terminal can also be by the topographic map file generated tower shadow parameter list according to acquisition, then
Obtained according to the tower shadow parameter list and survey the corresponding factor of influence of wind data, be described below by the embodiment of Fig. 2.
Referring to Fig. 2, in the embodiment of fig. 2, the tower shadow parameter list that terminal can be generated according to landform map file, then
Obtained from the tower shadow parameter list and survey the corresponding factor of influence of wind data, another reality of data processing method in the embodiment of the present application
Applying example includes：
201st, terminal, which obtains, surveys wind data.
Step 201 is similar with step 101 in earlier figures 1, and specific details are not described herein again.
202nd, the terminal-pair survey wind data carries out classification processing, obtains the first data and the second data.
Terminal can the survey wind data carry out classification processing, obtain the first data and the second data.Specifically, terminal can be with
Using GB standard as discrimination standard, judge that reaching default in survey wind data reaches according to the formula of GB standard foundation
Second data of the first data of scale value and not up to default value up to standard.
203rd, terminal establishes operational model according to the data group of the first data.
Terminal can establish operational model according to the data group in the first data, which is each to be surveyed in the first data
Corresponding each data for surveying wind height are to reach the data of the default value up to standard in the wind time, by establishing computing mould
Type, determines the relation of input and output.
204th, terminal for the same survey wind time and is to reach default to reach according to the operational model and with the second data
Revised second data are calculated in first data of scale value.
After terminal determines operational model, the relation of input and output is determined, terminal can be determined according to the operational model
Input/output relation calculate to be that the first data for reaching default value up to standard are obtained as input data with the second data
Revised second data.
205th, terminal determines the first data and revised second data are revised survey wind data.
After the second data correction of terminal-pair is completed, it is possible to determine the first data and revised second data to repair
Survey wind data after just.
206th, terminal obtains the corresponding landform map file in anemometer tower present position.
Terminal obtains the corresponding landform map file in anemometer tower present position, it is necessary to explanation, which can be with
It is that the landform map file of the anemometer tower present position input by user or terminal survey wind by positioning to obtain from map
The corresponding landform map file in tower present position, does not limit specifically herein.
207th, terminal parses the landform map file, obtains relief model.
After terminal gets the landform map file, the landform map file can be parsed, obtains relief model.Terminal can be with
Identify the contour and height number on topographic map, which is converted into relief model, which can be with
It is three-dimensional topographic map or plane map, does not limit herein specifically.
208th, terminal establishes the physical model of anemometer tower present position according to the relief model.
After terminal obtains relief model, anemometer tower institute corresponding with the relief model is established by the algorithm of terminal preset
Locate the physical model of position.
209th, the flow field simulation of the anemometer tower present position reduces in the physical model of the terminal-pair anemometer tower present position,
The Flow Field Distribution of anemometer tower present position after being reduced.
The flow field simulation reduction of the anemometer tower present position, obtains in the physical model of the terminal-pair anemometer tower present position
The Flow Field Distribution of anemometer tower present position after reduction can be specifically terminal by using computational fluid dynamics
(computational fluid dynamics, CFD) analogue technique carries out simulation reduction to the flow field of anemometer tower present position,
Simulation reduction can also be carried out to the flow field of the anemometer tower present position by other means, do not limited herein specifically.
210th, terminal calculates the Flow Field Distribution of the anemometer tower present position under the conditions of different wind speed and directions, obtains first
Result of calculation.
The flow field of the terminal-pair anemometer tower carries out simulation reduction, the flow field of the anemometer tower present position after being reduced it
Afterwards, the flow field based on the anemometer tower present position after the reduction, terminal can be calculated in different wind speed and direction value anemometer towers
The Flow Field Distribution of present position, obtains the first result of calculation.
211st, terminal establishes the physics in the flow field for being provided with the anemometer tower present position for surveying wind devices according to the relief model
Model.
After terminal obtains relief model, survey is installed by the way that the algorithm foundation of terminal preset is corresponding with the relief model
The physical model in the flow field of the anemometer tower present position of wind devices.
212nd, this in the physical model of the terminal-pair anemometer tower present position for being provided with survey wind devices is provided with survey wind and sets
The flow field simulation reduction of standby anemometer tower present position, the anemometer tower present position that being provided with after being reduced surveys wind devices
Flow Field Distribution.
Terminal-pair is provided with this in the physical model for the anemometer tower present position for surveying wind devices and is provided with the survey for surveying wind devices
The flow field simulation reduction of wind tower present position, the flow field for being provided with the anemometer tower present position for surveying wind devices point after being reduced
Cloth can be specifically terminal by using CFD analogue techniques to be provided with the flow field of the anemometer tower present position for surveying wind devices into
Row simulation reduction, the flow field that can also be provided with the anemometer tower present position for surveying wind devices to this by other means are simulated
Reduction, does not limit specifically herein.
213rd, terminal calculates under the conditions of different wind speed and directions this and is provided with the anemometer tower present position for surveying wind devices
Flow Field Distribution, obtains the second result of calculation.
This is provided with and surveys the anemometer tower present positions of wind devices and carry out simulation reduction terminal-pair, installation after being reduced
After the flow field for having the anemometer tower present position for surveying wind devices, the anemometer tower institute for surveying wind devices is installed based on this after the reduction
Locate the flow field of position, terminal can calculate the stream that the anemometer tower present position for surveying wind devices is provided with different wind speed and direction values
Field distribution, obtains the second result of calculation.
214th, terminal generates tower shadow parameter list according to the first result of calculation and the second result of calculation.
Terminal determines the first result of calculation and the second meter by handling the first result of calculation and the second result of calculation
Calculate the relation ratio of result.For example one group of wind speed and wind direction value are (3.5m/s, 5 °), the first result of calculation shows the wind speed
And the air-flow size of anemometer tower present position is a under conditions of wind direction value, the second result of calculation shows the wind speed and wind direction
It is b to be provided with conditions of value and survey the air-flow sizes of anemometer tower present position of wind devices, then terminal can determine the at this time
The relation ratio of one result of calculation and the second result of calculation is a/b, then terminal can determine that the wind speed and wind direction value correspond to
Factor of influence be relation ratio a/b, then terminal by determine multi-group data factor of influence, these factors of influence are given birth to
Cheng Taying parameter lists, the tower shadow parameter list include the parameter for surveying influence of the wind devices to each wind regime, such as table 1, are surveyed with being provided with
As reference, every group of wind speed and wind direction value correspondence have a factor of influence to the air speed value of the anemometer tower of wind devices.
Do not have in the present embodiment, between step 201 to step 205 and step 206 to step 214 fixation execution successively it is suitable
Sequence, can first carry out step 201 to step 205, can also first carry out step 206 and be held at the same time to step 214, or according to situation
Row step 201 does not limit specifically herein to step 205 and step 206 to step 214.
215th, terminal determines every group of wind speed and wind direction value in revised survey wind data from revised survey wind data.
Terminal-pair is surveyed after wind data amendment completion, can be determined from revised survey wind data every in the survey wind data
Group wind speed and wind direction value, such as terminal can determine to survey the data group in wind data at a time, wind speed in the data group
And wind direction value is (3.5m/s, 5 °), terminal can determine to survey in wind data all data groups included.
216th, terminal every group of wind speed and wind direction value from the revised survey wind data of tower shadow parameter list acquisition is corresponding
Factor of influence.
Terminal from tower shadow parameter list obtain in revised survey wind data every group of wind speed and the corresponding influence of wind direction value because
Son, specifically, for example terminal determines that one group of data in the survey wind data are (3.5m/s, 5 °), then terminal can be with this time
The corresponding factor of influence of the data group is searched from tower shadow parameter list, such as table 1, terminal can determine that (3.5m/s, 5 °) is corresponding
Factor of influence is a [2] [2], and factor of influence a [2] [2] is obtained from the tower shadow parameter list.
217th, terminal determines every group of wind speed and wind direction value in the revised survey wind data more than default influence value
The corresponding data of corresponding factor of influence are target data to be revised.
Terminal determines to survey after every group of wind speed in wind data and wind direction value, and terminal may determine that every group of wind speed and wind
To being worth whether corresponding factor of influence is more than default influence value, if terminal determines that the factor of influence is more than default influence value,
Then terminal can determine that this group of data are data to be revised, and the every group of wind speed and wind direction value that terminal-pair is surveyed in wind data carry out
Judge, by determining every group of wind speed and wind direction value in the revised survey wind data more than default influence value after judging
The corresponding data of corresponding factor of influence are target data to be revised.For example terminal determines data group (3.5m/s, 0 °), that
Terminal can determine that the corresponding factor of influence of the data group is a [2] [1] from tower shadow parameter list at this time, default shadow in terminal
It is c to ring value, then terminal needs to judge whether a [2] [1] is more than c at this time, if a [2] [1] is more than c, terminal can determine to count
It is data to be revised according to group (3.5m/s, 0 °).
218th, terminal determines every group of wind speed and the wind direction value in target data from the target data.
Terminal is determined after target data to be revised, it may be determined that every group of wind speed of target data and the number of wind direction value
According to, for example terminal can determine that data group is (3m/s, 0 °) from target data, wherein target data include (3m/s, 0 °) this
Group data.
219th, terminal obtains every group of wind speed and the corresponding factor of influence of wind direction value in target data from the tower shadow parameter list.
The every group of wind speed and wind direction value for the target data that terminal can be determined according to step 218 are from tower shadow parameter list
Get corresponding factor of influence.For example terminal determines that one group of data group in target data is (3m/s, 0 °) so terminal
It is a [1] [1] that (3m/s, 0 °) corresponding factor of influence of this group of data can be got from table 1.
220th, terminal displays whether to agree to the prompting message of revision to user, if so, step 221 is then performed, if it is not, then holding
Row step 222.
After terminal determines the corresponding factor of influence of target data to be revised, terminal can display whether to agree to user
The prompting message of revision, the prompting message include treating the target of revision when terminal gets the message of the agreement revision of user
The revision value that data are revised, the revision value for the terminal-pair, revised to obtain revised target data by the target data
The increment that the target data obtains is subtracted, if terminal gets the agreement revision message of user, step 221 is performed, if terminal
The refusal revision message of user is got, then performs step 222.For example terminal determines one group of wind speed and wind direction to be revised
Be worth for (3m/s, 0 °), then, at this time from tower shadow parameter list determine the corresponding factor of influence of this group of data be a [1] [1], then this
When revision value can be 3*a [1] [1] -3.Terminal may remind the user that terminal will be to this by showing the prompting message to user
Survey wind data to be revised, user may be referred to whether corresponding revision value rationally decides whether to revise again, therefore improve use
Experience at family.
221st, terminal revises target data according to the factor of influence.
Terminal can be revised target data according to factor of influence.Specifically, terminal can multiply the factor of influence
Revised target data is obtained with target data, the factor of influence and the target data positive correlation.For example terminal determines data
Group (3m/s, 0 °), then it is a [1] [1] that terminal can obtain the corresponding factor of influence of the data group from tower shadow parameter list, then
Terminal can revise wind speed 3m/s, i.e., wind speed 3m/s is multiplied by a [1] [1]；If factor of influence is in target data
Wind speed divided by the factor of influence can be obtained revised data, do not done herein specifically by negatively correlated relation so terminal
Limit.
222nd, terminal performs other operations.
When the refusal that terminal gets user revises message, terminal performs other operations, for example, terminal to user again
Prompt the revision value, or terminal to retest once, result is shown to user again, is not limited herein specifically.
In the present embodiment, step 220 can not also be performed with step 222, i.e., terminal determines the corresponding influence of target data
After the factor, terminal directly can revise target data according to the factor of influence, not limit herein specifically.
In the embodiment of the present application, terminal, which obtains, surveys wind data, and terminal determines to treat in the survey wind data according to tower shadow parameter list
The target data of revision, the tower shadow parameter list include the parameter for surveying influence of the wind devices to each wind regime, and terminal is according to the tower shadow
Parameter list determines the corresponding factor of influence of the target data, the parameter of influence of the factor of influence to each wind regime, terminal according to
The factor of influence revises the target data.Therefore, terminal can determine the survey wind data according to tower shadow parameter table analysis
In target data to be revised, then terminal the corresponding factor of influence of the target data can be determined according to the tower shadow parameter list,
The factor of influence is the parameter for surveying influence of the wind devices to each wind regime, then terminal can be according to the factor of influence to be repaired
The target data ordered is revised, and this improves the validity and accuracy for surveying wind data.
The data processing method in the embodiment of the present application is described above, below to the number in the embodiment of the present application
It is described according to processing unit, referring to Fig. 3, wherein, second acquisition unit 305, resolution unit 306, first establish unit
307th, the first computing unit 308, second establish unit 309, the second computing unit 310, generation unit 311, classification processing unit
312nd, the 3rd to establish unit 313, the 3rd computing unit 314 and the 3rd determination unit 315 be selectable unit, the embodiment of the present application
One embodiment of middle data processing equipment includes：
First acquisition unit 301, wind data is surveyed for obtaining；
First determination unit 302, for determining the target data to be revised in the survey wind data according to tower shadow parameter list,
The tower shadow parameter list includes the parameter for surveying influence of the wind devices to each wind regime；
Second determination unit 303, for determining the corresponding factor of influence of the target data, the shadow according to the tower shadow parameter list
Ring the parameter that the factor is the influence of the survey wind devices to each wind regime；
Unit 304 is revised, for being revised according to the factor of influence to the target data.
In the present embodiment, which further includes：
Second acquisition unit 305, for obtaining the corresponding landform map file in anemometer tower present position；
Resolution unit 306, for parsing the landform map file, obtains relief model；
First establishes unit 307, for establishing the physical model of the anemometer tower present position according to the relief model；
First computing unit 308, for the physical model calculating difference wind speed and wind according to the anemometer tower present position
The Flow Field Distribution of the anemometer tower present position under the conditions of, obtains the first result of calculation；
Second establishes unit 309, for according to the relief model establish the anemometer tower of the survey wind devices is installed residing for position
The physical model put；
Second computing unit 310, the physical model of the anemometer tower present position for being provided with the survey wind devices according to this
The Flow Field Distribution of the anemometer tower present position for being provided with the survey wind devices is calculated under the conditions of the difference wind speed and wind direction, is obtained
Second result of calculation；
Generation unit 311, should for generating the tower shadow parameter list according to first result of calculation and second result of calculation
Tower shadow parameter list includes the parameter of the influence of the survey wind devices to each wind regime.
In the present embodiment, which is specifically used for determining from the survey wind data every in the survey wind data
Group wind speed and wind direction value；Obtained from the tower shadow parameter list corresponding with every group of wind speed in the survey wind data and wind direction value
Factor of influence, the factor of influence have correspondence with every group of wind speed and wind direction value, and every group of wind speed and wind direction value correspond to one
A factor of influence；Determine the every group of wind speed and the corresponding shadow of wind direction value in the survey wind data more than default influence value
It is target data to be revised to ring the corresponding data of the factor.
In the present embodiment, which is specifically used for determining from the target data every in the target data
Group wind speed and wind direction value；Obtained from the tower shadow parameter list corresponding with every group of wind speed in the target data and wind direction value
Factor of influence, the factor of influence have correspondence with every group of wind speed and wind direction value, and every group of wind speed and wind direction value correspond to one
A factor of influence.
In the present embodiment, which further includes：
Classification processing unit 312, for carrying out classification processing to the survey wind data, obtains the first data and the second number
According to first data are to reach the data of default value up to standard, which is the data of the not up to default value up to standard；
3rd establishes unit 313, and operational model is established for the data group in first data, which is the
The data that corresponding each data for surveying wind height in the wind time reach the default value up to standard are each surveyed in one data；
3rd computing unit 314, for according to the operational model and with second data for it is same survey the wind time and
Revised second data are calculated to reach the first data of the default value up to standard；
3rd determination unit 315, for determining that first data and revised second data are revised survey
Wind data；
The revision unit 304 is specifically used for being determined according to tower shadow parameter list to be revised in the revised survey wind data
Target data.
In the embodiment of the present application, first acquisition unit 301, which obtains, surveys wind data, and the first determination unit 302 is joined according to tower shadow
Number table determines target data to be revised in the survey wind data, which includes the influence for surveying wind devices to each wind regime
Parameter, the second determination unit 303 determines the corresponding factor of influence of the target data, the factor of influence according to the tower shadow parameter list
The parameter of influence to each wind regime, terminal revise the target data according to the factor of influence.Therefore, first list is determined
Member 301 can determine target data to be revised in the survey wind data according to tower shadow parameter table analysis, then the second determination unit
302 can determine the corresponding factor of influence of the target data according to the tower shadow parameter list, which is survey wind devices to each
The parameter of the influence of a wind regime, then the target data that revision unit 304 can treat revision according to the factor of influence carries out
Revision, this improves the validity and accuracy for surveying wind data.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, apparatus and method can
To realize by another way.For example, device embodiment described above is only schematical, for example, the unit
Division, be only a kind of division of logic function, can have other dividing mode, such as multiple units or group when actually realizing
Part can combine or be desirably integrated into another system, or some features can be ignored, or not perform.It is another, it is shown
Or the mutual coupling, direct-coupling or communication connection discussed can be by some interfaces, device or unit it is indirect
Coupling or communication connection, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separate, be shown as unit
The component shown may or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
In network unit.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the application can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units integrate in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use
When, it can be stored in a computer read/write memory medium.Based on such understanding, the technical solution of the application is substantially
The part to contribute in other words to the prior art or all or part of the technical solution can be in the form of software products
Embody, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server, or network equipment etc.) performs the complete of each embodiment the method for the application
Portion or part steps.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-
OnlyMemory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various to deposit
Store up the medium of program code.
The above, above example is only to illustrate the technical solution of the application, rather than its limitations；Although with reference to before
Embodiment is stated the application is described in detail, it will be understood by those of ordinary skill in the art that：It still can be to preceding
State the technical solution described in each embodiment to modify, or equivalent substitution is carried out to which part technical characteristic；And these
Modification is replaced, and the essence of appropriate technical solution is departed from the spirit and scope of each embodiment technical solution of the application.
Claims (10)
- A kind of 1. data processing method, it is characterised in that the described method includes：Obtain and survey wind data；Target data to be revised in the survey wind data is determined according to tower shadow parameter list, the tower shadow parameter list, which includes, surveys wind The parameter of influence of the equipment to each wind regime；The corresponding factor of influence of the target data is determined according to the tower shadow parameter list, the factor of influence sets for the survey wind The parameter of the standby influence to each wind regime；The target data is revised according to the factor of influence.
- 2. according to the method described in claim 1, it is characterized in that, described determine in the survey wind data according to tower shadow parameter list Target data to be revised before, the method further includes：Obtain the corresponding landform map file in anemometer tower present position；The landform map file is parsed, obtains relief model；The physical model of the anemometer tower present position is established according to the relief model；According to residing for the anemometer tower under the conditions of the physical model calculating difference wind speed and wind direction of the anemometer tower present position The Flow Field Distribution of position, obtains the first result of calculation；The physical model for the anemometer tower present position for being provided with the survey wind devices is established according to the relief model；According to different wind speed described in the physical model calculating of the anemometer tower present position for being provided with the survey wind devices and The Flow Field Distribution of the anemometer tower present position for being provided with the survey wind devices, obtains the second result of calculation under the conditions of wind direction；The tower shadow parameter list, the tower shadow parameter list bag are generated according to first result of calculation and second result of calculation The parameter of influence containing the survey wind devices to each wind regime.
- 3. method according to claim 1 or 2, it is characterised in that described that the survey wind number is determined according to tower shadow parameter list Target data to be revised in includes：The every group of wind speed and wind direction value in the survey wind data are determined from the survey wind data；Factor of influence corresponding with every group of wind speed in the survey wind data and wind direction value is obtained from the tower shadow parameter list, The factor of influence has correspondence with every group of wind speed and wind direction value, and every group of wind speed and wind direction value correspond to an institute State factor of influence；Determine the every group of wind speed and the corresponding factor of influence pair of wind direction value in the survey wind data more than default influence value The data answered are the target data to be revised.
- 4. method according to claim 1 or 2, it is characterised in that described that the mesh is determined according to the tower shadow parameter list The corresponding factor of influence of mark data includes：Every group of wind speed and the wind direction value in the target data are determined from the target data；Factor of influence corresponding with every group of wind speed in the target data and wind direction value is obtained from the tower shadow parameter list, The factor of influence has correspondence with every group of wind speed and wind direction value, and every group of wind speed and wind direction value correspond to a shadow Ring the factor.
- 5. according to the method described in claim 1, it is characterized in that, it is described obtain survey wind data after, it is described according to tower shadow join Before number table determines the target data to be revised in the survey wind data, the method further includes：Classification processing is carried out to the survey wind data, obtains the first data and the second data, first data are to reach pre- If value up to standard data, second data for not up to the default value up to standard data；Data group in first data establishes operational model, and the data group is each survey wind in first data Corresponding each data for surveying wind height reach the data of the default value up to standard in time；For the same survey wind time and it is to reach described default up to standard according to the operational model and with second data Revised second data are calculated in first data of value；Determine that first data and revised second data are revised survey wind data；It is described to determine that the target data to be revised in the survey wind data includes according to tower shadow parameter list：The revised target data to be revised surveyed in wind data is determined according to tower shadow parameter list.
- 6. a kind of data processing equipment, it is characterised in that the data processing equipment includes：First acquisition unit, wind data is surveyed for obtaining；First determination unit, it is described for determining the target data to be revised in the survey wind data according to tower shadow parameter list Tower shadow parameter list includes the parameter for surveying influence of the wind devices to each wind regime；Second determination unit, for determining the corresponding factor of influence of the target data, the shadow according to the tower shadow parameter list Ring parameter of the factor for influence of the survey wind devices to each wind regime；Unit is revised, for being revised according to the factor of influence to the target data.
- 7. data processing equipment according to claim 6, it is characterised in that the data processing equipment further includes：Second acquisition unit, for obtaining the corresponding landform map file in anemometer tower present position；Resolution unit, for parsing the landform map file, obtains relief model；First establishes unit, for establishing the physical model of the anemometer tower present position according to the relief model；First computing unit, for the physical model calculating difference wind speed and wind direction condition according to the anemometer tower present position Under the anemometer tower present position Flow Field Distribution, obtain the first result of calculation；Second establishes unit, and the anemometer tower present position of the survey wind devices is provided with for being established according to the relief model Physical model；Second computing unit, the physical model calculating of the anemometer tower present position for being provided with the survey wind devices according to The Flow Field Distribution of the anemometer tower present position for being provided with the survey wind devices, obtains under the conditions of the difference wind speed and wind direction To the second result of calculation；Generation unit, for generating the tower shadow parameter list, institute according to first result of calculation and second result of calculation State the parameter that tower shadow parameter list includes influence of the survey wind devices to each wind regime.
- 8. data processing equipment according to claim 6, it is characterised in that the data processing equipment further includes：Classification processing unit, for carrying out classification processing to the survey wind data, obtains the first data and the second data, described First data are to reach the data of default value up to standard, and second data are the data of the not up to default value up to standard；3rd establishes unit, establishes operational model for the data group in first data, the data group is described The data that corresponding each data for surveying wind height in the wind time reach the default value up to standard are each surveyed in first data；3rd computing unit, for for the same survey wind time and being to reach according to the operational model and with second data Revised second data are calculated in the first data to the default value up to standard；3rd determination unit, for determining first data and revised second data for revised survey wind number According to；The revision unit is specifically used for determining the revised mesh to be revised surveyed in wind data according to tower shadow parameter list Mark data.
- 9. a kind of computer program product for including instruction, it is characterised in that when run on a computer so that the meter Calculation machine performs the method as any one of claim 1 to 5.
- A kind of 10. computer-readable recording medium, it is characterised in that including instructing, when described instruction is run on computers, So that computer performs the method as any one of claim 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711459101.5A CN108021774B (en) | 2017-12-28 | 2017-12-28 | Data processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711459101.5A CN108021774B (en) | 2017-12-28 | 2017-12-28 | Data processing method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108021774A true CN108021774A (en) | 2018-05-11 |
| CN108021774B CN108021774B (en) | 2022-01-25 |
Family
ID=62071973
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711459101.5A Active CN108021774B (en) | 2017-12-28 | 2017-12-28 | Data processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108021774B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109855873A (en) * | 2018-12-12 | 2019-06-07 | 华润电力技术研究院有限公司 | The method for diagnosing faults and device of steam turbine main shaft |
| CN113792032A (en) * | 2021-08-09 | 2021-12-14 | 中国电建集团西北勘测设计研究院有限公司 | Wind measurement data tower shadow effect analysis method based on normal distribution error correction |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1144525A (en) * | 1997-06-06 | 1999-02-16 | Hitachi Ltd | Ultrasonic device |
| KR20090083539A (en) * | 2008-01-30 | 2009-08-04 | 한국에너지기술연구원 | Wind speed measurement system with tower shading correction by using computational flow analysis |
| CN104699936A (en) * | 2014-08-18 | 2015-06-10 | 沈阳工业大学 | Sector management method based on CFD short-term wind speed forecasting wind power plant |
| CN105628977A (en) * | 2015-12-31 | 2016-06-01 | 新疆金风科技股份有限公司 | Calibration method, device and system of anemometer correction coefficient |
| CN105824891A (en) * | 2016-03-11 | 2016-08-03 | 中能电力科技开发有限公司 | Method for automatically uploading data of anemometer towers |
| CN106597008A (en) * | 2016-12-05 | 2017-04-26 | 北京普华亿能风电技术有限公司 | Wind measuring method resistant to wind shadow of an anemometer tower |
| CN107153894A (en) * | 2017-06-02 | 2017-09-12 | 北京金风科创风电设备有限公司 | Method and device for correcting predicted wind speed of wind power plant |
-
2017
- 2017-12-28 CN CN201711459101.5A patent/CN108021774B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1144525A (en) * | 1997-06-06 | 1999-02-16 | Hitachi Ltd | Ultrasonic device |
| KR20090083539A (en) * | 2008-01-30 | 2009-08-04 | 한국에너지기술연구원 | Wind speed measurement system with tower shading correction by using computational flow analysis |
| CN104699936A (en) * | 2014-08-18 | 2015-06-10 | 沈阳工业大学 | Sector management method based on CFD short-term wind speed forecasting wind power plant |
| CN105628977A (en) * | 2015-12-31 | 2016-06-01 | 新疆金风科技股份有限公司 | Calibration method, device and system of anemometer correction coefficient |
| CN105824891A (en) * | 2016-03-11 | 2016-08-03 | 中能电力科技开发有限公司 | Method for automatically uploading data of anemometer towers |
| CN106597008A (en) * | 2016-12-05 | 2017-04-26 | 北京普华亿能风电技术有限公司 | Wind measuring method resistant to wind shadow of an anemometer tower |
| CN107153894A (en) * | 2017-06-02 | 2017-09-12 | 北京金风科创风电设备有限公司 | Method and device for correcting predicted wind speed of wind power plant |
Non-Patent Citations (3)
| Title |
|---|
| A. WESTERHELLWEG 等: "FINO1 Mast Correction", 《DEWI MAGAZIN》 * |
| 王海龙 等: "海上风电场风能资源观测和评估关键技术研究", 《电力勘测设计》 * |
| 高峰 等: "基于测风塔测风数据的风电机组机舱风速修正", 《***仿真学报》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109855873A (en) * | 2018-12-12 | 2019-06-07 | 华润电力技术研究院有限公司 | The method for diagnosing faults and device of steam turbine main shaft |
| CN109855873B (en) * | 2018-12-12 | 2021-02-05 | 华润电力技术研究院有限公司 | Fault diagnosis method and device for turbine main shaft |
| CN113792032A (en) * | 2021-08-09 | 2021-12-14 | 中国电建集团西北勘测设计研究院有限公司 | Wind measurement data tower shadow effect analysis method based on normal distribution error correction |
| CN113792032B (en) * | 2021-08-09 | 2024-01-23 | 中国电建集团西北勘测设计研究院有限公司 | Wind measurement data tower shadow effect analysis method based on normal distribution error correction |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108021774B (en) | 2022-01-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105204462B (en) | The matching process of AGV quantity and task in AGV Production Scheduling Systems | |
| CN105842676B (en) | A kind of radar shadown analysis method and device | |
| CN108007453A (en) | Map updating method, device and electronic equipment based on a cloud | |
| KR101720755B1 (en) | Image processing system for 3-dimensional modeling data of underground facilities | |
| CN107991647A (en) | Indoor orientation method and system, storage medium based on WiFi and UWB | |
| CN108021774A (en) | Data processing method and device | |
| CN111382472A (en) | Method and device for predicting shield-induced proximity structure deformation by random forest fusion SVM (support vector machine) | |
| CN106121622A (en) | A kind of Multiple faults diagnosis approach of Dlagnosis of Sucker Rod Pumping Well based on indicator card | |
| CN114778924B (en) | Three-phase voltage non-contact measurement method and system, electronic device and storage medium | |
| CN108984403A (en) | The verification method and device of FPGA logical code | |
| CN110536239A (en) | A kind of localization method and device | |
| CN106202237A (en) | A kind of industry item area method for drawing map and system thereof | |
| CN112017070A (en) | Method and system for evaluating transient stability of power system based on data enhancement | |
| CN109582988B (en) | Method for determining position of strain gauge for monitoring vibration stress of blade of aircraft engine | |
| CN101750616B (en) | Method for measuring wind resistance to vegetation and the system thereof | |
| CN104914167B (en) | Acoustic emission source locating method based on sequential Monte Carlo algorithm | |
| CN106556877A (en) | A kind of earth magnetism Tonghua method and device | |
| CN108564569A (en) | A kind of distress in concrete detection method and device based on multinuclear classification learning | |
| CN109033181B (en) | Wind field geographic numerical simulation method for complex terrain area | |
| CN107490618A (en) | A kind of computational methods of the natural leak of steel pipe containing defect magnetic field magnetic induction intensity | |
| CN102540139B (en) | Method for locating multiple targets by utilizing multiple stations | |
| CN108196087A (en) | Data processing equipment | |
| CN107870361A (en) | Seismic inflection wave tomography method and device and terminal equipment | |
| CN104251184B (en) | Automatically recommend the method and system of optimum Wind turbines | |
| CN104794268B (en) | A kind of method of utilization space Density Distribution generation space object track |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |