CN108021774B - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
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- CN108021774B CN108021774B CN201711459101.5A CN201711459101A CN108021774B CN 108021774 B CN108021774 B CN 108021774B CN 201711459101 A CN201711459101 A CN 201711459101A CN 108021774 B CN108021774 B CN 108021774B
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Abstract
The embodiment of the application discloses a data processing method and a data processing device, which are used for revising target data to be revised in wind measurement data according to influence factors, and improving the effectiveness and accuracy of the wind measurement data. The method in the embodiment of the application comprises the following steps: acquiring wind measurement data; determining target data to be revised in the anemometry data according to a tower shadow parameter table, wherein the tower shadow parameter table contains parameters of influences of anemometry equipment on various wind conditions; determining an influence factor corresponding to the target data according to the tower shadow parameter table, wherein the influence factor is a parameter of influence of the wind measuring equipment on each wind condition; revising the target data according to the influence factor.
Description
Technical Field
The present application relates to the field of wind resource analysis technologies, and in particular, to a data processing method and apparatus.
Background
Important facilities such as nuclear power, chemical engineering and wind power plants, wind resistance safety design and production operation of tall buildings and the like all need to measure local wind conditions.
At present, a special anemometer tower is required to be arranged for measuring wind conditions, anemometer equipment is arranged on the anemometer tower, wind conditions are observed for a period of time or a long time, and local anemometer data are obtained through observation of the anemometer equipment on the anemometer tower and are used for later-stage wind resource analysis.
When the wind condition is measured, the wind measuring equipment is arranged on the wind measuring tower to observe the wind condition, but at the moment, wind flows through the wind measuring tower, the change of a flow field is generated when the wind measuring equipment encounters the wind measuring equipment, the direction and the size of a wind vector are influenced, so that the difference between the wind measuring data measured by the measuring equipment and the actual data of the wind condition is larger, the validity of the wind measuring data is influenced, and the accuracy of the wind measuring data is reduced.
Disclosure of Invention
The embodiment of the application provides a data processing method and device, which are used for revising target data to be revised in wind measurement data according to influence factors, so that the effectiveness and the accuracy of the wind measurement data are improved.
In a first aspect, an embodiment of the present application provides a data processing method, including:
acquiring wind measurement data;
determining target data to be revised in the anemometry data according to a tower shadow parameter table, wherein the tower shadow parameter table contains parameters of influences of anemometry equipment on various wind conditions;
determining an influence factor corresponding to the target data according to the tower shadow parameter table, wherein the influence factor is a parameter of influence of the wind measuring equipment on each wind condition;
revising the target data according to the influence factor.
In a possible implementation manner, before the determining the target data to be revised in the anemometry data according to the tower shadow parameter table, the method further includes:
acquiring a topographic map file corresponding to the position of the anemometer tower;
analyzing the topographic map file to obtain a topographic model;
establishing a physical model of the position of the anemometer tower according to the terrain model;
calculating flow field distribution of the position of the anemometer tower under different wind speeds and wind directions according to the physical model of the position of the anemometer tower to obtain a first calculation result;
establishing a physical model of the position of the anemometer tower provided with the anemometer according to the terrain model;
calculating the flow field distribution of the position of the anemometry tower provided with the anemometry equipment under different wind speeds and wind directions according to the physical model of the position of the anemometry tower provided with the anemometry equipment to obtain a second calculation result;
and generating the tower shadow parameter table according to the first calculation result and the second calculation result, wherein the tower shadow parameter table contains parameters of the influence of the wind measuring equipment on each wind condition.
In another possible implementation manner, the determining, according to the tower shadow parameter table, target data to be revised in the anemometry data includes:
determining each group of wind speed and wind direction values in the wind measurement data from the wind measurement data;
acquiring influence factors corresponding to each group of wind speed and wind direction values in the wind measurement data from the tower shadow parameter table, wherein the influence factors have corresponding relations with each group of wind speed and wind direction values, and each group of wind speed and wind direction values corresponds to one influence factor;
and determining each group of wind speed in the wind measuring data with the influence value larger than the preset influence value and the data corresponding to the influence factor corresponding to the wind direction value as the target data to be revised.
In another possible implementation manner, the determining, according to the tower shadow parameter table, an impact factor corresponding to the target data includes:
determining from the target data each set of wind speed and wind direction values in the target data;
and acquiring influence factors corresponding to each group of wind speed and wind direction values in the target data from the tower shadow parameter table, wherein the influence factors have corresponding relations with each group of wind speed and wind direction values, and each group of wind speed and wind direction values corresponds to one influence factor.
In another possible implementation manner, after the obtaining of the wind measurement data and before the determining of the target data to be revised in the wind measurement data according to the tower shadow parameter table, the method further includes:
classifying the wind measuring data to obtain first data and second data, wherein the first data are data reaching a preset standard reaching value, and the second data are data not reaching the preset standard reaching value;
establishing an operation model according to a data group in the first data, wherein the data group is data of each wind measuring height corresponding to each wind measuring time in the first data and reaching the preset standard reaching value;
calculating to obtain corrected second data according to the operation model and first data which has the same wind measuring time with the second data and reaches the preset standard reaching value;
determining the first data and the corrected second data as corrected anemometry data;
the determining target data to be revised in the anemometry data according to the tower shadow parameter table comprises the following steps:
and determining target data to be revised in the corrected anemometry data according to a tower shadow parameter table.
In a second aspect, an embodiment of the present application provides a data processing apparatus, including:
the first acquisition unit is used for acquiring anemometry data;
the first determining unit is used for determining target data to be revised in the wind measuring data according to a tower shadow parameter table, and the tower shadow parameter table contains parameters of influences of wind measuring equipment on various wind conditions;
a second determining unit, configured to determine an influence factor corresponding to the target data according to the tower shadow parameter table, where the influence factor is a parameter of influence of the wind measuring device on each wind condition;
and the revising unit is used for revising the target data according to the influence factors.
In a possible implementation manner, the data processing apparatus further includes:
the second acquisition unit is used for acquiring a topographic map file corresponding to the position of the anemometer tower;
the analysis unit is used for analyzing the topographic map file to obtain a topographic model;
the first establishing unit is used for establishing a physical model of the position of the anemometer tower according to the terrain model;
the first calculation unit is used for calculating the flow field distribution of the position of the anemometer tower under different wind speeds and wind directions according to the physical model of the position of the anemometer tower to obtain a first calculation result;
the second establishing unit is used for establishing a physical model of the position of the wind measuring tower provided with the wind measuring equipment according to the terrain model;
the second calculation unit is used for calculating the flow field distribution of the position of the anemometry tower provided with the anemometry equipment under different wind speeds and wind directions according to the physical model of the position of the anemometry tower provided with the anemometry equipment to obtain a second calculation result;
and the generating unit is used for generating the tower shadow parameter table according to the first calculation result and the second calculation result, and the tower shadow parameter table contains parameters of the influence of the wind measuring equipment on each wind condition.
In another possible implementation manner, the first determining unit is specifically configured to:
determining each group of wind speed and wind direction values in the wind measurement data from the wind measurement data;
acquiring influence factors corresponding to each group of wind speed and wind direction values in the wind measurement data from the tower shadow parameter table, wherein the influence factors have corresponding relations with each group of wind speed and wind direction values, and each group of wind speed and wind direction values corresponds to one influence factor;
and determining each group of wind speed in the wind measuring data with the influence value larger than the preset influence value and the data corresponding to the influence factor corresponding to the wind direction value as the target data to be revised.
In another possible implementation manner, the second determining unit is specifically configured to:
determining from the target data each set of wind speed and wind direction values in the target data;
and acquiring influence factors corresponding to each group of wind speed and wind direction values in the target data from the tower shadow parameter table, wherein the influence factors have corresponding relations with each group of wind speed and wind direction values, and each group of wind speed and wind direction values corresponds to one influence factor.
In another possible implementation manner, the data processing apparatus further includes:
the classification processing unit is used for classifying the wind measuring data to obtain first data and second data, wherein the first data is data reaching a preset standard reaching value, and the second data is data not reaching the preset standard reaching value;
a third establishing unit, configured to establish an operation model according to a data set in the first data, where the data set is data in which each wind measurement height data corresponding to each wind measurement time in the first data reaches the preset standard value;
the third calculation unit is used for calculating to obtain modified second data according to the operation model and the first data which has the same wind measuring time with the second data and reaches the preset standard value;
a third determining unit, configured to determine that the first data and the modified second data are modified anemometry data;
and the revision unit is specifically used for determining target data to be revised in the corrected anemometry data according to the tower shadow parameter table.
In a third aspect, an embodiment of the present application further provides a data processing apparatus, including:
a processor, a memory, an input-output device, and a bus;
the processor, the memory and the input and output equipment are respectively connected with the bus, and computer instructions are stored in the memory;
the processor, when executing the computer instructions in the memory, is configured to implement any of the implementations of the first aspect.
In a fourth aspect, the present application provides a computer program product containing instructions, which when run on a computer, causes the computer to perform the implementation manner as described in any one of the first aspects.
In a fifth aspect, the present application provides a computer-readable storage medium, which is characterized by including instructions, when the instructions are executed on a computer, the instructions cause the computer to execute the implementation manner as described in any one of the first aspect.
According to the technical scheme, the embodiment of the application has the following advantages:
according to the technical scheme, the wind measurement data are obtained, the target data to be revised in the wind measurement data are determined according to the tower shadow parameter table, the tower shadow parameter table contains parameters of influences of the wind measurement equipment on various wind conditions, the influence factors corresponding to the target data are determined according to the tower shadow parameter table, the parameters of influences of the influence factors on the various wind conditions are revised according to the influence factors, and the target data are revised. Therefore, target data to be revised in the anemometry data can be analyzed and determined according to the tower shadow parameter table, then an influence factor corresponding to the target data can be determined according to the tower shadow parameter table, the influence factor is a parameter of influence of the anemometry equipment on each wind condition, and then the target data to be revised can be revised according to the influence factor, so that the effectiveness and the accuracy of the anemometry data are improved.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a data processing method in an embodiment of the present application;
FIG. 2 is a schematic diagram of another embodiment of a data processing method in the embodiment of the present application;
fig. 3 is a schematic diagram of an embodiment of a data processing apparatus in an embodiment of the present application.
Detailed Description
The embodiment of the application provides a data processing method and device, which are used for revising target data to be revised in wind measurement data according to influence factors, so that the effectiveness and the accuracy of the wind measurement data are improved.
In the data processing process, the data processing device is used for acquiring the wind measurement data, processing and analyzing the wind measurement data and the like. The wind measurement data can be wind condition data of the places where important facilities such as nuclear power, chemical engineering or wind power plants are located, and then the wind measurement data are analyzed and processed through the data processing device and used for subsequently selecting the sites of the important facilities for reference. For example, in the site selection process of the wind farm, the wind condition of the location where the wind farm is built needs to be observed for a long time or a period of time, at this time, the wind condition can be observed through the wind measuring equipment by building the wind measuring tower and installing the wind measuring equipment, local wind measuring data is obtained, and the wind measuring data is analyzed and processed through the data processing device, so that the optimal place where the wind farm is built is reasonably selected.
It should be noted that the data processing apparatus may be a terminal, on which a corresponding data processing application app is installed, or may be a server, and is not limited herein. In the following embodiments, only an example in which a data processing apparatus is a terminal will be described. The terminal may be a computer, a tablet, or the like, and is not limited herein.
Referring to fig. 1, a data processing method in an embodiment of the present application is described below from a terminal perspective, where an embodiment of the data processing method in the embodiment of the present application includes:
101. and acquiring wind measurement data.
The wind conditions of the site selection sites of nuclear power, chemical engineering or wind power plants can be measured by building a wind measuring tower on the site selection sites, then installing wind measuring equipment on the wind measuring tower, and recording measured wind speeds at different local moments, wind direction values of the wind speeds and other wind measuring data through observation of the wind measuring equipment on the local wind conditions. The user imports the wind measurement data measured by the wind measurement equipment into the terminal, and then the terminal can acquire the wind measurement data, or the terminal can establish connection with the wind measurement equipment, and the wind measurement equipment sends the wind measurement data to the terminal, and the specific point is not limited herein.
102. And determining target data to be revised in the anemometry data according to the tower shadow parameter table.
After the terminal acquires the wind measurement data, the terminal can determine target data to be revised in the wind measurement data according to the tower shadow parameter table. The terminal may determine target data to be modified in the anemometry data according to a preset tower shadow parameter table. Specifically, the terminal may determine each group of wind speed and wind direction value in the wind measurement data, and then obtain an influence factor corresponding to each group of wind speed and wind direction value in the wind measurement data from a tower shadow parameter table, such as table 1, where the tower shadow parameter table includes parameters of influence of the wind measurement device on each wind condition, the influence factor is a parameter of influence of the wind measurement device on each wind condition, the influence factor has a corresponding relationship with each group of wind speed and wind direction value, and each group of wind speed and wind direction value corresponds to one influence factor; then, the terminal may determine whether the influence factor corresponding to each group of wind speed and wind direction values is greater than a preset influence value, and if the influence factor corresponding to each group of wind speed and wind direction values is greater than the preset influence value, the terminal may determine that the data corresponding to the influence factor is the target data to be revised. For example, the terminal determines that a group of wind speed and wind direction values in the wind measurement data are (3m/s, 0 °), then the influence factor corresponding to the group of data can be determined to be a [1] [1] from table 1, and then it is determined whether a [1] [1] is greater than a preset influence value, and if so, the terminal can determine that the group of data is to-be-revised data.
Wherein the vertical column is the wind speed (unit: m/s), and the wind speed value after the wind measuring equipment is installed is taken as a reference; the horizontal column is the wind direction (unit: degree); a [ m ] [ n ] is an influence factor corresponding to the nth wind speed of the mth wind direction value, and is 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: the positive north direction is recorded as an initial angle and zero degree;
the angles (0-355) were recorded clockwise with 5 ° spacing.
103. And determining the influence factor corresponding to the target data according to the tower shadow parameter table.
After the terminal determines the target data, the terminal may determine the impact factor corresponding to the target data according to the tower shadow parameter. Specifically, the terminal may determine each set of wind speed and wind direction value in the target data from the target data, and then obtain the impact factor corresponding to each set of wind speed and wind direction value in the target data from the tower shadow parameter table. For example, if the terminal determines that a set of wind speed and wind direction values in the target data is (3.5m/s, 5 °), the influence factor of the set of data can be determined as a [2] [2] from the tower shadow parameter table.
104. Revising the target data according to the influence factor.
After determining the impact factor corresponding to the target data, the terminal may revise the target data according to the impact factor. Specifically, the terminal may multiply the influence factor by the target data, where the influence factor is positively correlated with the target data, and the terminal may also revise the target data in other manners, which is not limited herein.
In the embodiment of the application, the terminal acquires the wind measurement data, the terminal determines target data to be revised in the wind measurement data according to a tower shadow parameter table, the tower shadow parameter table contains parameters of influences of wind measurement equipment on various wind conditions, the terminal determines influence factors corresponding to the target data according to the tower shadow parameter table, the influence factors influence the parameters of the influences on the wind conditions, and the terminal revises the target data according to the influence factors. Therefore, the terminal can analyze and determine target data to be revised in the anemometry data according to the tower shadow parameter table, then the terminal can determine an influence factor corresponding to the target data according to the tower shadow parameter table, the influence factor is a parameter of influence of the anemometry equipment on each wind condition, and then the terminal can revise the target data to be revised according to the influence factor, so that the effectiveness and the accuracy of the anemometry data are improved.
In the embodiment of the application, the terminal can analyze, process and correct the integrity of the wind measurement data and the rationality of the wind measurement data, analyze and revise the influence of the wind measurement data on the wind measurement equipment on the wind measurement tower, or analyze and revise the influence of the wind measurement equipment on the wind measurement tower by directly analyzing the wind measurement data, and the specific point is not limited. In the following embodiments, only the terminal analyzes and corrects the integrity of the wind measurement data and the rationality of the wind measurement data, and then analyzes and corrects the influence of the wind measurement data on the wind measurement equipment on the wind measurement tower.
In this embodiment of the application, the terminal may further generate a tower shadow parameter table according to the obtained topographic map file, and then obtain an impact factor corresponding to the anemometry data according to the tower shadow parameter table, which is described below with reference to the embodiment of fig. 2.
Referring to fig. 2, in the embodiment of fig. 2, the terminal may generate a tower shadow parameter table according to the topographic map file, and then obtain an impact factor corresponding to the anemometry data from the tower shadow parameter table, where another embodiment of the data processing method in the embodiment of the present application includes:
201. and the terminal acquires the anemometry data.
Step 201 is similar to step 101 in fig. 1, and detailed description thereof is omitted here.
202. And the terminal classifies the anemometry data to obtain first data and second data.
The terminal can classify the wind measurement data to obtain first data and second data. Specifically, the terminal may use a national standard as a criterion, and determine, according to a formula established by the national standard, first data that reaches a preset standard value and second data that does not reach the preset standard value in the anemometry data.
203. And the terminal establishes an operation model according to the data set of the first data.
The terminal can establish an operation model according to a data set in the first data, the data set is data of each wind measurement height corresponding to each wind measurement time in the first data, the data of each wind measurement height reaches the preset standard reaching value, and the relation between input and output is determined by establishing the operation model.
204. And the terminal calculates to obtain the corrected second data according to the operation model and the first data which has the same wind measuring time with the second data and reaches a preset standard value.
After the terminal determines the operation model, the terminal determines the relation between input and output, and the terminal can calculate first data which reaches a preset standard value with second data according to the input-output relation determined by the operation model to obtain modified second data by taking the first data as input data.
205. And the terminal determines the first data and the corrected second data as corrected wind measuring data.
After the terminal finishes correcting the second data, the first data and the corrected second data can be determined to be corrected anemometry data.
206. And the terminal acquires a topographic map file corresponding to the position of the anemometer tower.
The terminal acquires a topographic map file corresponding to the position of the anemometer tower, and it should be noted that the topographic map file may be a topographic map file of the position of the anemometer tower input by a user, or the topographic map file corresponding to the position of the anemometer tower acquired from a map by the terminal through positioning, and the specific details are not limited herein.
207. And the terminal analyzes the topographic map file to obtain a topographic model.
After the terminal acquires the topographic map file, the topographic map file can be analyzed to obtain a topographic model. The terminal can identify contour lines and height values on the topographic map, and convert the topographic map file into a topographic model, wherein the topographic model can be a three-dimensional topographic map or a planar map, and the specific details are not limited herein.
208. And the terminal establishes a physical model of the position of the anemometer tower according to the terrain model.
And after the terminal obtains the terrain model, establishing a physical model of the position of the anemometer tower corresponding to the terrain model through an algorithm preset by the terminal.
209. And the terminal simulates and reduces the flow field of the position of the anemometer tower in the physical model of the position of the anemometer tower to obtain the flow field distribution of the reduced position of the anemometer tower.
The terminal simulates and restores a flow field of the position of the anemometer tower in the physical model of the position of the anemometer tower to obtain the restored flow field distribution of the position of the anemometer tower, specifically, the terminal simulates and restores the flow field of the position of the anemometer tower by using a Computational Fluid Dynamics (CFD) simulation technology, and the terminal can simulate and restore the flow field of the position of the anemometer tower by other methods, which is not limited herein.
210. And the terminal calculates the flow field distribution of the position of the anemometer tower under different wind speeds and wind directions to obtain a first calculation result.
And after the terminal carries out simulation reduction on the flow field of the anemometer tower to obtain the reduced flow field of the position of the anemometer tower, the terminal can calculate the flow field distribution of the position of the anemometer tower at different wind speeds and wind direction values based on the reduced flow field of the position of the anemometer tower to obtain a first calculation result.
211. And the terminal establishes a physical model of a flow field at the position of the anemometer tower provided with the anemometer according to the terrain model.
After the terminal obtains the terrain model, a physical model of a flow field corresponding to the terrain model and at the position of the wind measuring tower provided with the wind measuring equipment is established through an algorithm preset by the terminal.
212. And the terminal simulates and restores the flow field of the position of the anemometry tower provided with the anemometry equipment in the physical model of the position of the anemometry tower provided with the anemometry equipment to obtain the restored flow field distribution of the position of the anemometry tower provided with the anemometry equipment.
The terminal simulates and restores a flow field at the position of the wind measuring tower provided with the wind measuring equipment in a physical model at the position of the wind measuring tower provided with the wind measuring equipment to obtain the restored flow field distribution at the position of the wind measuring tower provided with the wind measuring equipment, specifically, the terminal simulates and restores the flow field at the position of the wind measuring tower provided with the wind measuring equipment by using a CFD simulation technology, can simulate and restore the flow field at the position of the wind measuring tower provided with the wind measuring equipment by other modes, and is not limited in detail here.
213. And the terminal calculates the flow field distribution of the position of the anemometer tower provided with the anemometer under different wind speeds and wind directions to obtain a second calculation result.
And after the terminal carries out simulation reduction on the position of the anemometry tower provided with the anemometry equipment to obtain the reduced flow field of the position of the anemometry tower provided with the anemometry equipment, the terminal can calculate the flow field distribution of the position of the anemometry tower provided with the anemometry equipment at different wind speed and wind direction values based on the reduced flow field of the position of the anemometry tower provided with the anemometry equipment to obtain a second calculation result.
214. And the terminal generates a tower shadow parameter table according to the first calculation result and the second calculation result.
And the terminal determines the relation ratio of the first calculation result and the second calculation result by processing the first calculation result and the second calculation result. For example, if a set of wind speed and wind direction values are (3.5m/s, 5 °), the first calculation result shows that the airflow at the position of the anemometer tower is a under the condition of the wind speed and wind direction values, the second calculation result shows that the airflow at the position of the anemometer tower provided with the anemometer device is b under the condition of the wind speed and wind direction values, then the terminal may determine that the relationship ratio of the first calculation result to the second calculation result is a/b, then the terminal may determine that the influence factor corresponding to the wind speed and wind direction values is the relationship ratio a/b, then the terminal determines the influence factors of a plurality of groups of data, generates the influence factors into a tower shadow parameter table, the tower shadow parameter table contains parameters of the influence of the wind measuring equipment on each wind condition, for example, table 1, the wind speed value of the wind measuring tower provided with the wind measuring equipment is taken as a reference, and each group of wind speed and wind direction value correspondingly has an influence factor.
In this embodiment, there is no fixed execution sequence between steps 201 to 205 and steps 206 to 214, and step 201 to step 205 may be executed first, step 206 to step 214 may be executed first, or step 201 to step 205 and step 206 to step 214 may be executed simultaneously according to the situation, which is not limited herein.
215. And the terminal determines each group of wind speed and wind direction value in the corrected wind measuring data from the corrected wind measuring data.
After the terminal finishes correcting the wind measurement data, each group of wind speed and wind direction value in the wind measurement data can be determined from the corrected wind measurement data, for example, the terminal can determine a data group at a certain moment in the wind measurement data, the wind speed and wind direction value in the data group are (3.5m/s, 5 °), and the terminal can determine all data groups contained in the wind measurement data.
216. And the terminal acquires each group of wind speed and influence factors corresponding to the wind direction values in the corrected wind measurement data from the tower shadow parameter table.
The terminal obtains the influence factor corresponding to each group of wind speed and wind direction value in the corrected wind measurement data from the tower shadow parameter table, specifically, for example, the terminal determines that a group of data in the wind measurement data is (3.5m/s, 5 °), then the terminal can look up the influence factor corresponding to the data group from the tower shadow parameter table, as shown in table 1, the terminal can determine that the influence factor corresponding to (3.5m/s, 5 °) is a [2] [2], and obtain the influence factor a [2] [2] from the tower shadow parameter table.
217. And the terminal determines the data corresponding to each group of wind speed and the influence factor corresponding to the wind direction value in the corrected wind measurement data larger than the preset influence value as target data to be revised.
After the terminal determines each group of wind speed and wind direction value in the wind measurement data, the terminal can judge whether the influence factor corresponding to each group of wind speed and wind direction value is larger than a preset influence value, if the terminal determines that the influence factor is larger than the preset influence value, the terminal can determine the group of data as the data to be revised, the terminal judges each group of wind speed and wind direction value in the wind measurement data, and the data corresponding to the influence factor corresponding to each group of wind speed and wind direction value in the corrected wind measurement data larger than the preset influence value is determined as the target data to be revised after the judgment. For example, the terminal determines the data group (3.5m/s, 0 °), then the terminal may determine from the tower shadow parameter table that the impact factor corresponding to the data group is a [2] [1], and the impact value preset in the terminal is c, then the terminal needs to determine whether a [2] [1] is greater than c, and if a [2] [1] is greater than c, the terminal may determine that the data group (3.5m/s, 0 °) is the data to be revised.
218. The terminal determines each set of wind speed and wind direction values in the target data from the target data.
After the terminal determines the target data to be revised, data of each group of wind speed and wind direction values of the target data can be determined, for example, the terminal can determine the data group as (3m/s, 0 °) from the target data, wherein the target data comprises the group of data of (3m/s, 0 °).
219. And the terminal acquires the influence factors corresponding to each group of wind speed and wind direction values in the target data from the tower shadow parameter table.
The terminal may obtain the corresponding impact factors from the tower shadow parameter table according to each set of wind speed and wind direction values of the target data determined in step 218. For example, if the terminal determines that a group of data in the target data is (3m/s, 0 °), the terminal may obtain the impact factor corresponding to the group of data at (3m/s, 0 °) as a [1] [1] from table 1.
220. The terminal displays a prompt message for whether to approve the revision to the user, if so, executes step 221, and if not, executes step 222.
After the terminal determines the influence factor corresponding to the target data to be revised, the terminal may display a prompt message indicating whether the revision is approved to the user, where the prompt message includes a revision value revised for the target data to be revised when the terminal acquires the revision approval message of the user, where the revision value is an increment obtained by subtracting the target data from the revised target data obtained by revising the target data by the terminal, if the terminal acquires the revision approval message of the user, step 221 is executed, and if the terminal acquires the revision rejection message of the user, step 222 is executed. For example, the terminal determines that a group of wind speed and wind direction values to be revised are (3m/s, 0 °), then, determines that the influence factor corresponding to the group of data is a [1] [1] from the tower shadow parameter table, and then, the revised value may be 3 × a [1] [1] -3. The terminal can remind the user terminal to revise the wind measuring data by displaying the prompt message to the user, and the user can decide whether to revise according to whether the corresponding revision value is reasonable or not, so that the user experience is improved.
221. And the terminal revises the target data according to the influence factor.
The terminal may revise the target data according to the impact factor. Specifically, the terminal may multiply the influence factor by the target data to obtain revised target data, where the influence factor is positively correlated with the target data. For example, the terminal determines the data group (3m/s, 0 °), then the terminal can obtain the impact factor corresponding to the data group as a [1] [1] from the tower shadow parameter table, and then the terminal can revise the wind speed 3m/s, that is, the wind speed 3m/s is multiplied by a [1] [1 ]; if the influence factor is in a negative correlation with the target data, the terminal may divide the wind speed by the influence factor to obtain revised data, which is not limited herein.
222. The terminal performs other operations.
When the terminal acquires the revision refusing message of the user, the terminal performs other operations, for example, the terminal prompts the revision value to the user again, or the terminal may test once again and display the result to the user again, which is not limited herein.
In this embodiment, step 220 and step 222 may not be executed, that is, after the terminal determines the impact factor corresponding to the target data, the terminal may revise the target data directly according to the impact factor, which is not limited herein.
In the embodiment of the application, the terminal acquires the wind measurement data, the terminal determines target data to be revised in the wind measurement data according to a tower shadow parameter table, the tower shadow parameter table contains parameters of influences of wind measurement equipment on various wind conditions, the terminal determines influence factors corresponding to the target data according to the tower shadow parameter table, the influence factors influence the parameters of the influences on the wind conditions, and the terminal revises the target data according to the influence factors. Therefore, the terminal can analyze and determine target data to be revised in the anemometry data according to the tower shadow parameter table, then the terminal can determine an influence factor corresponding to the target data according to the tower shadow parameter table, the influence factor is a parameter of influence of the anemometry equipment on each wind condition, and then the terminal can revise the target data to be revised according to the influence factor, so that the effectiveness and the accuracy of the anemometry data are improved.
The data processing method in the embodiment of the present application is described above, and the data processing apparatus in the embodiment of the present application is described below with reference to fig. 3, where the second obtaining unit 305, the parsing unit 306, the first establishing unit 307, the first calculating unit 308, the second establishing unit 309, the second calculating unit 310, the generating unit 311, the classification processing unit 312, the third establishing unit 313, the third calculating unit 314, and the third determining unit 315 are optional units, and an embodiment of the data processing apparatus in the embodiment of the present application includes:
a first obtaining unit 301, configured to obtain anemometry data;
a first determining unit 302, configured to determine target data to be revised in the anemometry data according to a tower shadow parameter table, where the tower shadow parameter table includes parameters of influences of the anemometry device on various wind conditions;
a second determining unit 303, configured to determine an influence factor corresponding to the target data according to the tower shadow parameter table, where the influence factor is a parameter of influence of the wind measuring device on each wind condition;
a revising unit 304 for revising the target data according to the influence factor.
In this embodiment, the data processing apparatus further includes:
a second obtaining unit 305, configured to obtain a topographic map file corresponding to a location where the anemometer tower is located;
an analyzing unit 306, configured to analyze the topographic map file to obtain a topographic model;
a first establishing unit 307, configured to establish a physical model of a position where the anemometer tower is located according to the terrain model;
the first calculating unit 308 is configured to calculate, according to the physical model of the position of the anemometer tower, flow field distribution of the position of the anemometer tower under different wind speeds and wind directions, so as to obtain a first calculation result;
a second establishing unit 309, configured to establish a physical model of a position of the anemometer tower on which the anemometer device is installed according to the terrain model;
the second calculating unit 310 is configured to calculate, according to the physical model of the position of the anemometry tower on which the anemometry device is installed, flow field distribution of the position of the anemometry tower on which the anemometry device is installed under different wind speeds and wind directions, so as to obtain a second calculation result;
the generating unit 311 is configured to generate the tower shadow parameter table according to the first calculation result and the second calculation result, where the tower shadow parameter table includes parameters of the influence of the wind measuring device on each wind condition.
In this embodiment, the first determining unit 302 is specifically configured to determine each group of wind speed and wind direction value in the wind measurement data from the wind measurement data; acquiring an influence factor corresponding to each group of wind speed and wind direction values in the wind measurement data from the tower shadow parameter table, wherein the influence factor has a corresponding relation with each group of wind speed and wind direction values, and each group of wind speed and wind direction values corresponds to one influence factor; and determining each group of wind speed in the wind measuring data with the influence value larger than the preset influence value and the data corresponding to the influence factor corresponding to the wind direction value as target data to be revised.
In this embodiment, the second determining unit 303 is specifically configured to determine each group of wind speed and wind direction values in the target data from the target data; and acquiring an influence factor corresponding to each group of wind speed and wind direction values in the target data from the tower shadow parameter table, wherein the influence factor has a corresponding relation with each group of wind speed and wind direction values, and each group of wind speed and wind direction values corresponds to one influence factor.
In this embodiment, the data processing apparatus further includes:
a classification processing unit 312, configured to perform classification processing on the wind measurement data to obtain first data and second data, where the first data is data that reaches a preset benchmarking value, and the second data is data that does not reach the preset benchmarking value;
a third establishing unit 313, configured to establish an operation model according to a data set in the first data, where the data set is data in which each wind measurement height data corresponding to each wind measurement time in the first data reaches the preset target value;
a third calculating unit 314, configured to calculate, according to the operation model and the first data that is the same anemometry time as the second data and both of which reach the preset scalar value, to obtain modified second data;
a third determining unit 315, configured to determine that the first data and the modified second data are modified anemometry data;
the revising unit 304 is specifically configured to determine target data to be revised in the modified anemometry data according to the tower shadow parameter table.
In this embodiment of the application, the first obtaining unit 301 obtains wind measurement data, the first determining unit 302 determines target data to be revised in the wind measurement data according to a tower shadow parameter table, where the tower shadow parameter table includes parameters of influences of wind measurement equipment on each wind condition, the second determining unit 303 determines an influence factor corresponding to the target data according to the tower shadow parameter table, where the influence factor is a parameter of influences on each wind condition, and the terminal revises the target data according to the influence factor. Therefore, the first determining unit 301 may determine, according to the tower shadow parameter table, target data to be revised in the anemometry data through analysis, and then the second determining unit 302 may determine, according to the tower shadow parameter table, an influence factor corresponding to the target data, where the influence factor is a parameter of influence of the anemometry equipment on each wind condition, so that the revising unit 304 may revise the target data to be revised according to the influence factor, thereby improving effectiveness and accuracy of the anemometry data.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (7)
1. A method of data processing, the method comprising:
acquiring wind measurement data, wherein the wind measurement data comprises a plurality of wind conditions, and each wind condition comprises a wind speed value and a wind direction value;
acquiring a topographic map file corresponding to the position of the anemometer tower;
analyzing the topographic map file to obtain a topographic model;
establishing a physical model of the position of the anemometer tower according to the terrain model;
calculating flow field distribution of the position of the anemometer tower under different wind speeds and wind directions according to the physical model of the position of the anemometer tower to obtain a first calculation result;
establishing a physical model of the position of the anemometer tower provided with the anemometer according to the terrain model;
calculating the flow field distribution of the position of the anemometry tower provided with the anemometry equipment under different wind speeds and wind directions according to the physical model of the position of the anemometry tower provided with the anemometry equipment to obtain a second calculation result;
generating a tower shadow parameter table according to the first calculation result and the second calculation result, wherein the tower shadow parameter table contains parameters of influences of the wind measuring equipment on various wind conditions;
determining target data to be revised in the anemometry data according to a tower shadow parameter table, wherein the tower shadow parameter table contains parameters of influences of anemometry equipment on various wind conditions;
determining an influence factor corresponding to the target data according to the tower shadow parameter table, wherein the influence factor is a parameter of influence of the wind measuring equipment on each wind condition;
revising the target data according to the influence factor.
2. The method of claim 1, wherein the determining target data to be revised in the anemometry data according to a table of tower shadow parameters comprises:
determining each group of wind speed and wind direction values in the wind measurement data from the wind measurement data;
acquiring influence factors corresponding to each group of wind speed and wind direction values in the wind measurement data from the tower shadow parameter table, wherein the influence factors have corresponding relations with each group of wind speed and wind direction values, and each group of wind speed and wind direction values corresponds to one influence factor;
and determining each group of wind speed in the wind measuring data with the influence value larger than the preset influence value and the data corresponding to the influence factor corresponding to the wind direction value as the target data to be revised.
3. The method of claim 1, wherein the determining the impact factor corresponding to the target data according to the tower shadow parameter table comprises:
determining from the target data each set of wind speed and wind direction values in the target data;
and acquiring influence factors corresponding to each group of wind speed and wind direction values in the target data from the tower shadow parameter table, wherein the influence factors have corresponding relations with each group of wind speed and wind direction values, and each group of wind speed and wind direction values corresponds to one influence factor.
4. The method of claim 1, wherein after the obtaining of the anemometry data and before the determining of the target data to be revised in the anemometry data according to the tower shadow parameter table, the method further comprises:
classifying the wind measuring data to obtain first data and second data, wherein the first data are data reaching a preset standard reaching value, and the second data are data not reaching the preset standard reaching value;
establishing an operation model according to a data group in the first data, wherein the data group is data of each wind measuring height corresponding to each wind measuring time in the first data and reaching the preset standard reaching value;
calculating to obtain corrected second data according to the operation model and first data which has the same wind measuring time with the second data and reaches the preset standard reaching value;
determining the first data and the corrected second data as corrected anemometry data;
the determining target data to be revised in the anemometry data according to the tower shadow parameter table comprises the following steps:
and determining target data to be revised in the corrected anemometry data according to a tower shadow parameter table.
5. A data processing apparatus, characterized in that the data processing apparatus comprises:
the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring wind measurement data which comprises a plurality of wind conditions, and each wind condition comprises a wind speed value and a wind direction value;
the second acquisition unit is used for acquiring a topographic map file corresponding to the position of the anemometer tower;
the analysis unit is used for analyzing the topographic map file to obtain a topographic model;
the first establishing unit is used for establishing a physical model of the position of the anemometer tower according to the terrain model;
the first calculation unit is used for calculating the flow field distribution of the position of the anemometer tower under different wind speeds and wind directions according to the physical model of the position of the anemometer tower to obtain a first calculation result;
the second establishing unit is used for establishing a physical model of the position of the wind measuring tower provided with the wind measuring equipment according to the terrain model;
the second calculation unit is used for calculating the flow field distribution of the position of the anemometry tower provided with the anemometry equipment under different wind speeds and wind directions according to the physical model of the position of the anemometry tower provided with the anemometry equipment to obtain a second calculation result;
the generating unit is used for generating a tower shadow parameter table according to the first calculation result and the second calculation result, and the tower shadow parameter table contains parameters of influences of the wind measuring equipment on various wind conditions;
the first determining unit is used for determining target data to be revised in the wind measuring data according to a tower shadow parameter table, and the tower shadow parameter table contains parameters of influences of wind measuring equipment on various wind conditions;
a second determining unit, configured to determine an influence factor corresponding to the target data according to the tower shadow parameter table, where the influence factor is a parameter of influence of the wind measuring device on each wind condition;
and the revising unit is used for revising the target data according to the influence factors.
6. The data processing apparatus of claim 5, wherein the data processing apparatus further comprises:
the classification processing unit is used for classifying the wind measuring data to obtain first data and second data, wherein the first data is data reaching a preset standard reaching value, and the second data is data not reaching the preset standard reaching value;
a third establishing unit, configured to establish an operation model according to a data set in the first data, where the data set is data in which each wind measurement height data corresponding to each wind measurement time in the first data reaches the preset standard value;
the third calculation unit is used for calculating to obtain modified second data according to the operation model and the first data which has the same wind measuring time with the second data and reaches the preset standard value;
a third determining unit, configured to determine that the first data and the modified second data are modified anemometry data;
and the revision unit is specifically used for determining target data to be revised in the corrected anemometry data according to the tower shadow parameter table.
7. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the method of any of claims 1 to 4.
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| 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 |
| 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 |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1144525A (en) * | 1997-06-06 | 1999-02-16 | Hitachi Ltd | Ultrasonic device |
| 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 |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101239659B1 (en) * | 2008-01-30 | 2013-03-08 | 한국에너지기술연구원 | Wind Speed Measurement System with Tower Shading Correction by Using Computational Flow Analysis |
-
2017
- 2017-12-28 CN CN201711459101.5A patent/CN108021774B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1144525A (en) * | 1997-06-06 | 1999-02-16 | Hitachi Ltd | Ultrasonic device |
| 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 (1)
| Title |
|---|
| FINO1 Mast Correction;A. Westerhellweg 等;《DEWI MAGAZIN》;20120229(第40期);第60-66页 * |
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