CN112816953A - Wind profile radar data quality reliability grading method, system and device - Google Patents
Wind profile radar data quality reliability grading method, system and device Download PDFInfo
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Abstract
The invention discloses a method, a system and a device for grading the data quality reliability of a wind profile radar, wherein the method comprises the following steps: acquiring original spectrum data output by a wind profile radar; performing data processing on the original spectrum data to obtain velocity component data on different height layers in three directions of a vertical direction, a north-south direction and an east-west direction and signal-to-noise ratio data representing signal echo intensity on each height layer; respectively processing the velocity components and the signal-to-noise ratio data of layers with different heights in three directions by adopting the same preprocessing method, and screening effective data; and dividing the credibility of the effective data of each height layer into a plurality of grades according to a preset credibility grading criterion. The embodiment of the invention divides the data credibility into a plurality of levels based on the different direction effective data ratios of each height layer of the wind profile radar data, and has better guidance and practicability for the use of the wind profile data information.
Description
Technical Field
The invention relates to the field of data quality reliability grading, in particular to a method, a system and a device for grading the data quality reliability of a wind profile radar.
Background
The product data of the wind profile radar comprises horizontal wind speed, horizontal wind direction, vertical speed, horizontal wind reliability and vertical wind reliability. Because the atmospheric wind field changes frequently, the strength of echo signals at different heights also changes in fluctuation, the atmospheric turbulence intensity in different seasons also changes obviously, ground clutter, instantaneous interference of flying objects and other interference signals all influence the detection power and data processing precision of the wind profile radar on the wind field, so that the quality of output product data is different, and the reliability of the data is different. When the data are used, for example, for a weather prediction model, the progress of a test project related to wind speed and the like, reliable and accurate atmospheric wind field data are required to be used as support, so whether the data are credible or not is important, wherein the credibility of the data is an essential product element. In original product data, the division of data reliability is only simply 1 or 0, data is 1, no data is 0, and the judgment of data quality has no reference value.
Disclosure of Invention
Therefore, the technical problem to be solved by the present invention is to overcome the defect that the classification of the data quality reliability of the wind profile radar in the prior art is simple in data quality judgment and does not have reliable reference value, so that a method, a system and a device for classifying the data quality reliability of the wind profile radar are provided, the data reliability is classified into a plurality of levels, and the method, the system and the device have better guidance and practicability for using wind profile data.
In order to achieve the purpose, the invention provides the following technical scheme:
in a first aspect, an embodiment of the present invention provides a wind profile radar data quality reliability grading method, including the following steps:
acquiring original spectrum data output by a wind profile radar;
performing data processing on the original spectrum data to obtain velocity component data on different height layers in three directions of a vertical direction, a north-south direction and an east-west direction and signal-to-noise ratio data representing signal echo intensity on each height layer;
respectively processing the velocity components and the signal-to-noise ratio data of layers with different heights in three directions by adopting the same preprocessing method, and screening effective data;
and dividing the credibility of the effective data of each height layer into a plurality of grades according to a preset credibility grading criterion.
In one embodiment, the original spectrum data output by the acquired wind profile radar is stored in an array structure form, the array structure slidingly stores historical data in a preset time period before the current time, new data is added each time after detection is started, the new data is added each time after the preset time is reached, and overtime historical data is removed.
In an embodiment, the process of screening out valid data by separately processing the velocity components and the snr data of different height layers in three directions by using the same preprocessing method includes:
extracting the current w component of the current height No. g in the vertical direction within a preset time period, wherein g is more than 1, the next height G-1 of the height No. g, the previous height g +1 of the height No. g, the speed component w and the signal-to-noise ratio SNRw on three heights are respectively stored in w and SNRw arrays, and only data on two heights can be extracted for a first height layer and a last height layer;
counting the number NUMW of all data in the w array and the number ValidUMw of effective data in the array within a preset value range and with the SNRw value larger than a set signal-to-noise ratio threshold SNRwTh, sequencing the w values within the preset value range from large to small, and taking data with a middle serial number as a median MIDw; selecting the latest w data obtained currently as a checked value NOWw, comparing the latest w data with a median MIDw, and judging and processing the number of effective data, wherein the process comprises the following steps:
if the absolute value of the (MIDw-NOWw) is larger than a set error threshold WErrTh, assigning NOWw as an invalid value N;
if the number ValidNUMw of the valid data is less than a, NOWw is equal to N;
if the number of valid data ValidNUMw > b, b > a and NOWw is N, updating NOWw to MIDw;
if the absolute value of (MIDw-NOWw) is less than or equal to a set error threshold WErrTh, NOWw is kept unchanged;
storing NOWw into a data array GW [ GN ] of a current w component, wherein GN represents the number of layers layered in height, and GW [ g ] is NOWw;
calculating the ratio of the number ValidNUMw of the effective data and the number NUMW of all the data to obtain the ratio of the effective data, and storing the ratio W into a data array RW [ GN ] of the effective data ratio, wherein RW [ g ] is ratio W;
the same procedure is used to obtain the data array GU [ GN ] of the current u component in the north-south direction and the data array RU [ GN ] of the effective data ratio RatioU, and the data array GV [ GN ] of the current v component in the east-west direction and the data array RV [ GN ] of the effective data ratio RatioU.
In one embodiment, the north-south velocity component u and the east-west velocity component v are synthesized to obtain a horizontal wind speed and a horizontal wind direction, and the horizontal wind speed VHor and the horizontal wind direction DHor of each altitude layer are calculated by the following formula:
VHor＝(GU[i]*GU[i]+GV[i]*GV[i])1/2；
DHor＝(180*arctg(GU[i],GV[i])/PI)；
the vertical velocity VZ of each level is the w velocity component in the vertical direction;
VZ [ i ] ═ GW [ i ], where i is 0 to GN-1;
the sum of the effective data ratios in the north-south and east-west directions is averaged to obtain an effective data ratio in the horizontal direction of (ratio u + ratio v)/2.
In an embodiment, the step of dividing the credibility of each height layer effective data into a plurality of grades according to a preset credibility grading criterion includes:
and grading the credibility based on the effective data rate of different directions of each height layer in a mode of setting a plurality of preset thresholds.
In one embodiment, the step of performing reliability classification based on the effective data ratio of different directions of each height layer by setting a plurality of preset thresholds includes:
grading judgment is carried out on the basis of the effective data rate ratio W in the vertical direction and the effective data rate ratio H in the horizontal direction of each height layer by setting a plurality of preset threshold values, the vertical wind credibility grade and the horizontal wind credibility grade of each height layer are obtained and are represented by a vertical wind credibility grading mark value flagZQC and a horizontal wind credibility grading mark flagHQC, and the process of grading the vertical wind credibility is as follows:
if the ratio W is larger than or equal to a first preset threshold value, judging that the vertical wind credibility level is high, and setting flagHQC to be 1.0;
if the ratio is greater than or equal to a second preset threshold value and is smaller than a first preset value, judging that the flagHQC is 2.0 in the vertical wind credibility level;
if the ratio is greater than or equal to a third preset threshold value and is smaller than a second preset value, judging that the vertical wind credibility level is low, and setting flagHQC to be 3.0;
if the ratio W is larger than 0 and smaller than a third preset threshold value, judging that the vertical wind credibility level is low, and setting flagHQC to be 4.0;
if the ratio W is not within any preset threshold range, determining that the data is invalid, and determining that the flagHQC is M;
the process of grading the horizontal wind credibility according to the preset credibility grading criterion is consistent with the process principle of grading the vertical wind credibility.
In one embodiment, the wind profile radar data quality credibility grading method further comprises the following steps: and forming wind profile radar product data on each height based on the obtained horizontal wind speed, horizontal wind direction, vertical speed, horizontal wind reliability mark and vertical wind reliability mark of each height.
In a second aspect, an embodiment of the present invention provides a wind profile radar data quality reliability grading system, including: the original data receiving module is used for acquiring original spectrum data output by the wind profile radar;
the original data processing module is used for carrying out data processing on the original spectrum data to obtain velocity component data on different height layers in three directions of a vertical direction, a north-south direction and an east-west direction and signal-to-noise ratio data representing signal echo intensity on each height layer;
the data reliability grading preprocessing module is used for respectively processing and screening effective data for the speed components and the signal-to-noise ratio data of layers with different heights in three directions by adopting the same preprocessing method;
and the data quality credibility grading treatment is used for grading the credibility of the effective data of each height layer into a plurality of grades according to a preset credibility grading criterion.
In an embodiment, the wind profile radar data quality credibility rating system further includes: and the product data generation module is used for forming product data on each height based on the obtained horizontal wind speed, horizontal wind direction, vertical speed, horizontal wind reliability mark and vertical wind reliability mark of each height.
In a third aspect, an embodiment of the present invention provides a wind profile radar data quality reliability grading device, including: the wind profile radar data quality credibility grading system comprises a magnetic disk, a PCI bus, a shared memory, an Ethernet card and a display, wherein the wind profile radar data quality credibility grading system of claim 8 or 9 is stored on the magnetic disk, the system is loaded into the shared memory through the PCI bus during operation, a data processing computer is connected with a signal processor in the wind profile radar system through the Ethernet card, the signal processor outputs original spectrum data obtained after wind field signal echo sampling and processing when the wind profile radar works, and the wind profile radar data quality credibility grading system stores the obtained product data on the magnetic disk and displays the product data on the display in a graph and list mode after carrying out credibility grading processing on the original spectrum data.
In a fourth aspect, embodiments of the present invention provide a computer-readable storage medium storing computer instructions for causing a computer to perform the method for wind profile radar data quality reliability ranking of the first aspect of embodiments of the present invention.
The technical scheme of the invention has the following advantages:
the invention provides a method, a system and a device for grading the data quality reliability of a wind profile radar, wherein the method comprises the following steps: acquiring original spectrum data output by a wind profile radar; performing data processing on the original spectrum data to obtain velocity component data on different height layers in three directions of a vertical direction, a north-south direction and an east-west direction and signal-to-noise ratio data representing signal echo intensity on each height layer; respectively processing the velocity components and the signal-to-noise ratio data of layers with different heights in three directions by adopting the same preprocessing method, and screening effective data; and dividing the credibility of the effective data of each height layer into a plurality of grades according to a preset credibility grading criterion. The embodiment of the invention divides the data credibility into a plurality of levels based on the different direction effective data ratios of each height layer of the wind profile radar data, and has better guidance and practicability for the use of the wind profile data information.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of the operation of one specific example of a wind profile radar data quality confidence rating method provided in an embodiment of the present invention;
FIG. 2 is a flowchart illustrating another exemplary method for wind profile radar data quality confidence rating provided in an embodiment of the present invention;
FIG. 3 is a block diagram of a wind profile radar data quality reliability rating system according to an embodiment of the present invention;
fig. 4 is a composition diagram of a specific example of a wind profile radar data quality reliability grading device according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
The embodiment of the invention provides a wind profile radar data quality credibility grading method, which comprises the following steps of:
step S1: and acquiring original spectrum data output by the wind profile radar.
In the embodiment of the invention, the original spectrum data is obtained by sampling and processing the wind field signal echo output by the signal processor of the wind profile radar when the wind profile radar works.
Step S2: and carrying out data processing on the original spectrum data to obtain velocity component data on different height layers in three directions of a vertical direction, a north-south direction and an east-west direction and signal-to-noise ratio data representing the signal echo intensity on each height layer.
In the embodiment of the invention, the original spectrum data is subjected to data processing to obtain three velocity component data on each height layer, namely a vertical direction velocity component w, a north-south direction velocity component u and an east-west direction velocity component v, and signal-to-noise ratio data representing the signal echo intensity on each height layer, namely a vertical direction signal-to-noise ratio SNRw, a north-south direction signal-to-noise ratio SNRu and an east-west direction signal-to-noise ratio SNRv. The speed component and the signal-to-noise ratio data can be stored in an array structure in a sliding manner for historical data within a preset time period (for example, within 30 minutes, which is taken as an example only, and not taken as a limitation), before the current time, the sliding storage method is to add new data each time after the detection is started, add new data each time after 30 minutes is reached, and remove historical data which is overtime.
Step S3: and respectively processing the speed component and the signal-to-noise ratio data of the layers with different heights in three directions by adopting the same preprocessing method, and screening effective data.
The velocity component and the signal-to-noise ratio data extracted in the vertical direction are respectively processed, and the process of screening effective data is as follows: acquiring and extracting the current w component of the number g height in the vertical direction within 30 minutes, wherein g is greater than 1, the next height g-1 of the number g height, the previous height g +1 of the number g height, and the speed component w and the signal-to-noise ratio SNRw on three heights, respectively storing the speed component w and the signal-to-noise ratio SNRw into w and SNRw arrays, and only extracting data on two heights for a first height layer and a last height layer; counting the number NUMW of all data in the w array and the number ValidUMw of effective data in a preset value range (such as-100, for example only, but not limited thereto) in the array, wherein the number SNRw is greater than a set signal-to-noise ratio threshold SNRwTh, sorting the w values in the preset value range from large to small, and taking data with a middle serial number as a median MIDw; selecting the latest w data obtained currently as a checked value NOWw, comparing the latest w data with a median MIDw, and judging and processing the number of effective data, wherein the process comprises the following steps:
1) if the absolute value of (MIDw-NOWw) is greater than the set error threshold werrrth, assigning NOWw to an invalid value N (for example, the value is 9999, which is not limited by way of example only, and in practice, the value of N is set based on the fact that N can be clearly distinguished from a normal value), that is, NOWw is 9999;
2) if the number ValidNUMw of the valid data is less than a, then NOWw is 9999;
3) if the number valid data ValidNUMw > b, b > a (for example, b is 5, a is 2, which is merely an example and not a limitation), and NOWw is 9999, then NOWw is updated as MIDw;
4) if the absolute value of (MIDw-NOWw) is less than or equal to a set error threshold WErrTh, NOWw is kept unchanged;
5) saving NOWw into a data array GW [ GN ] of the current w component, wherein GW [ g ] is NOWw and is used for the next calculation;
6) calculating the ratio of the number ValidNUMw of the effective data to the number NUMW of all the data to obtain the ratio ratiowof the effective data, wherein the ratio is ValidNUMw/NUMW; the ratio w is saved into a data array RW [ GN ] of the effective data ratio, and RW [ g ] ═ ratio w is used for the next calculation.
The data array GU [ GN ] of the current u component in the north-south direction and the data array RU [ GN ] of the effective data ratio RatioU, and the data array GV [ GN ] of the current v component in the east-west direction and the data array RV [ GN ] of the effective data ratio RatioU are obtained in the same manner as described above.
According to the embodiment of the invention, the north-south velocity component u and the east-west velocity component v are synthesized to obtain the horizontal wind speed and the horizontal wind direction, and the horizontal wind speed VHor and the horizontal wind direction DHor of each height layer are calculated by the following formulas:
VHor＝(GU[i]*GU[i]+GV[i]*GV[i])1/2；
DHor＝(180*arctg(GU[i],GV[i])/PI)；
the vertical velocity VZ of each level is the w velocity component in the vertical direction;
VZ [ i ] ═ GW [ i ], where i is 0 to GN-1.
The sum of the effective data ratios in the north-south and east-west directions is averaged to obtain an effective data ratio in the horizontal direction of (ratio u + ratio v)/2.
Step S4: and dividing the credibility of the effective data of each height layer into a plurality of grades according to a preset credibility grading criterion.
According to the embodiment of the invention, the credibility is graded based on the effective data ratios of different directions of each height layer in a mode of setting a plurality of preset threshold values. Specifically, the effective data rate ratio w in the vertical direction and the effective data rate ratio h in the horizontal direction of each height layer are judged in a grading manner to obtain the vertical wind reliability grade and the horizontal wind reliability grade of each height layer, and the grades are represented by a vertical wind reliability grade mark value flagZQC and a horizontal wind reliability grade mark flagHQC, wherein the process of grading the vertical wind reliability is as follows:
if the ratio W is larger than or equal to a first preset threshold value, judging that the vertical wind credibility level is high, and setting flagHQC to be 1.0;
if the ratio is greater than or equal to a second preset threshold value and is smaller than a first preset value, judging that the flagHQC is 2.0 in the vertical wind credibility level;
if the ratio is greater than or equal to a third preset threshold value and is smaller than a second preset value, judging that the vertical wind credibility level is low, and setting flagHQC to be 3.0;
if the ratio W is larger than 0 and smaller than a third preset threshold value, judging that the vertical wind credibility level is low, and setting flagHQC to be 4.0;
and if the ratio W is not in any preset threshold range, judging the data to be invalid, and judging the flagHQC to be M (the value of M is obviously distinguished from other normal credibility level marks as a criterion, for example, the value of M is 9).
In one embodiment, the ranking criteria may be determined by ranking according to the following expression:
if (ratio > is 0.8) flagHQC is 1.0, and the credibility level is high;
else if (ratio > -0.4 & & ratio <0.8) flagHQC ═ 2.0, in the confidence level;
else if (ratio > 0.1& & ratio <0.4) flagHQC ═ 3.0, the confidence level is lower;
else if (ratio >0& & ratio <0.1) flagHQC is 4.0, the credibility level is low;
and (3) the else flag HQC is 9, and no valid data exists.
The process of grading the horizontal wind credibility and the process of grading the vertical wind credibility in the embodiment of the invention have the same principle and are not described again.
As shown in fig. 2, the wind profile radar data quality credibility classification method further includes:
and step S5, forming wind profile radar product data on each height based on the obtained horizontal wind speed, horizontal wind direction, vertical speed, horizontal wind reliability mark and vertical wind reliability mark of each height. A user of the wind profile radar product data obtained by the embodiment of the invention can check the data and select the data to be used according to the credibility mark.
Compared with the existing wind profile radar data quality credibility grading mode, the wind profile radar data quality credibility grading method provided by the embodiment of the invention provides a more detailed credibility grading method, the data credibility is divided into a plurality of grades based on the effective data ratio of different directions of each height layer, the credibility grades are expressed through credibility grading mark values, the horizontal wind speed, the horizontal wind direction, the vertical speed, the horizontal wind credibility mark and the vertical wind credibility mark of each height form wind profile radar product data on each height, and the wind profile radar data grading method has better guidance and practicability on the use of wind profile data.
Example 2
An embodiment of the present invention provides a wind profile radar data quality reliability classification system, as shown in fig. 3, including:
the system comprises an original data receiving module 1, a wind profile radar and a wind profile data acquisition module, wherein the original data receiving module is used for acquiring original spectrum data output by the wind profile radar; this module executes the method described in step S1 in embodiment 1, and is not described herein again.
The original data processing module 2 is used for carrying out data processing on the original spectrum data to obtain velocity component data on different height layers in three directions of a vertical direction, a north-south direction and an east-west direction and signal-to-noise ratio data representing signal echo intensity on each height layer; this module executes the method described in step S2 in embodiment 2, and is not described herein again.
The data reliability grading preprocessing module 3 is used for respectively processing and screening effective data for the speed components and the signal-to-noise ratio data of layers with different heights in three directions by adopting the same preprocessing method; this module executes the method described in step S3 in embodiment 1, and is not described herein again.
And the data quality credibility grading process 4 is used for grading the credibility of the effective data of each height layer into a plurality of grades according to a preset credibility grading criterion. This module executes the method described in step S4 in embodiment 1, and is not described herein again.
And the product data generation module 5 is used for forming product data on each height based on the obtained horizontal wind speed, horizontal wind direction, vertical speed, horizontal wind reliability mark and vertical wind reliability mark of each height. This module executes the method described in step S5 in embodiment 1, and is not described herein again.
According to the wind profile radar data quality credibility grading system provided by the embodiment of the invention, the data credibility is divided into a plurality of grades based on different direction effective data ratios of each height layer, the credibility grades are expressed through credibility grading mark values, and the horizontal wind speed, the horizontal wind direction, the vertical speed, the horizontal wind credibility mark and the vertical wind credibility mark of each height form wind profile radar product data of each height, so that the wind profile radar data grading system has better guidance and practicability for the use of wind profile data.
Example 3
The embodiment of the invention provides a wind profile radar data quality credibility grading device, which comprises a disk 6, a PCI bus 7, a shared memory 8, an Ethernet card 9 and a display 10, wherein the wind profile radar data quality credibility grading system of the embodiment 2 is stored on the disk 6, the wind profile radar data quality credibility grading system is loaded into the shared memory 8 through the PCI bus 7 when in operation and is connected with a signal processor in the wind profile radar system through the Ethernet card 9, the signal processor outputs original spectrum data obtained after sampling and processing wind field signal echoes when the wind profile radar works, and the wind profile radar data quality credibility grading system carries out credibility grading processing on the original spectrum data, stores the obtained product data storage device on the disk 6 and displays the original spectrum data on the display 10 in a pattern and list mode.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program that can be stored in a computer-readable storage medium and that when executed, can include the processes of the embodiments of the methods described above. The readable storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; combinations of the above categories of memory may also be included.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of the invention may be made without departing from the spirit or scope of the invention.
Claims (11)
1. A wind profile radar data quality credibility grading method is characterized by comprising the following steps:
acquiring original spectrum data output by a wind profile radar;
performing data processing on the original spectrum data to obtain velocity component data on different height layers in three directions of a vertical direction, a north-south direction and an east-west direction and signal-to-noise ratio data representing signal echo intensity on each height layer;
respectively processing the velocity components and the signal-to-noise ratio data of layers with different heights in three directions by adopting the same preprocessing method, and screening effective data;
and dividing the credibility of the effective data of each height layer into a plurality of grades according to a preset credibility grading criterion.
2. The method for grading the data quality credibility of the wind profile radar according to claim 1, characterized by storing original spectrum data obtained from the wind profile radar output in an array structure form, wherein the array structure slidingly stores historical data within a preset time period before the current time, adding new data each time after starting detection, adding new data each time after reaching the preset time, and removing overtime historical data.
3. The method for grading the data quality reliability of the wind profile radar according to claim 2, wherein the step of screening out valid data by respectively processing the velocity components and the signal-to-noise ratio data of different height layers in three directions by adopting the same preprocessing method comprises the following steps:
extracting the current w component of the current height No. g in the vertical direction within a preset time period, wherein g is more than 1, the next height G-1 of the height No. g, the previous height g +1 of the height No. g, the speed component w and the signal-to-noise ratio SNRw on three heights are respectively stored in w and SNRw arrays, and only data on two heights can be extracted for a first height layer and a last height layer;
counting the number NUMW of all data in the w array and the number ValidUMw of effective data in the array within a preset value range and with the SNRw value larger than a set signal-to-noise ratio threshold SNRwTh, sequencing the w values within the preset value range from large to small, and taking data with a middle serial number as a median MIDw; selecting the latest w data obtained currently as a checked value NOWw, comparing the latest w data with a median MIDw, and judging and processing the number of effective data, wherein the process comprises the following steps:
if the absolute value of the (MIDw-NOWw) is larger than a set error threshold WErrTh, assigning NOWw as an invalid value N;
if the number ValidNUMw of the valid data is less than a, NOWw is equal to N;
if the number ValidNUMw > b of the valid data, a and b are both threshold values of the valid data, b > a, and NOWw is equal to N, updating NOWw equal to MIDw;
if the absolute value of (MIDw-NOWw) is less than or equal to a set error threshold WErrTh, NOWw is kept unchanged;
storing NOWw into a data array GW [ GN ] of a current w component, wherein GN represents the number of layers layered in height, and GW [ g ] is NOWw;
calculating the ratio of the number ValidNUMw of the effective data and the number NUMW of all the data to obtain the ratio of the effective data, and storing the ratio W into a data array RW [ GN ] of the effective data ratio, wherein RW [ g ] is ratio W;
the same procedure is used to obtain the data array GU [ GN ] of the current u component in the north-south direction and the data array RU [ GN ] of the effective data ratio RatioU, and the data array GV [ GN ] of the current v component in the east-west direction and the data array RV [ GN ] of the effective data ratio RatioU.
4. The method for grading the data quality credibility of the wind profile radar according to claim 3, wherein the horizontal wind speed and the horizontal wind direction are obtained by synthesizing a north-south velocity component u and an east-west velocity component v, and the horizontal wind speed and the horizontal wind direction of each altitude layer VHor DHor are calculated by the following formula:
VHor＝(GU[i]*GU[i]+GV[i]*GV[i])1/2；
DHor＝(180*arctg(GU[i],GV[i])/PI)；
the vertical velocity VZ of each level is the w velocity component in the vertical direction;
VZ [ i ] ═ GW [ i ], where i is 0 to GN-1;
the sum of the effective data ratios in the north-south and east-west directions is averaged to obtain an effective data ratio in the horizontal direction of (ratio u + ratio v)/2.
5. The wind profile radar data quality credibility grading method according to claim 4, wherein the step of dividing the credibility of each height layer effective data into a plurality of grades according to a preset credibility grading criterion comprises:
and grading the credibility based on the effective data rate of different directions of each height layer in a mode of setting a plurality of preset thresholds.
6. The wind profile radar data quality credibility grading method according to claim 5, wherein the credibility grading step based on effective data ratio of different directions of each height layer by setting a plurality of preset threshold values comprises:
grading judgment is carried out on the basis of the effective data rate ratio W in the vertical direction and the effective data rate ratio H in the horizontal direction of each height layer by setting a plurality of preset threshold values, the vertical wind credibility grade and the horizontal wind credibility grade of each height layer are obtained and are represented by a vertical wind credibility grading mark value flagZQC and a horizontal wind credibility grading mark flagHQC, and the process of grading the vertical wind credibility is as follows:
if the ratio W is larger than or equal to a first preset threshold value, judging that the vertical wind credibility level is high, and setting flagHQC to be 1.0;
if the ratio is greater than or equal to a second preset threshold value and is smaller than a first preset value, judging that the flagHQC is 2.0 in the vertical wind credibility level;
if the ratio is greater than or equal to a third preset threshold value and is smaller than a second preset value, judging that the vertical wind credibility level is low, and setting flagHQC to be 3.0;
if the ratio W is larger than 0 and smaller than a third preset threshold value, judging that the vertical wind credibility level is low, and setting flagHQC to be 4.0;
if the ratio W is not within any preset threshold range, determining that the data is invalid, and determining that the flagHQC is M;
the process of grading the horizontal wind credibility according to the preset credibility grading criterion is consistent with the process principle of grading the vertical wind credibility.
7. The wind profile radar data quality credibility rating method of claim 6, further comprising: and forming wind profile radar product data on each height based on the obtained horizontal wind speed, horizontal wind direction, vertical speed, horizontal wind reliability mark and vertical wind reliability mark of each height.
8. A wind profile radar data quality credibility grading system is characterized by comprising:
the original data receiving module is used for acquiring original spectrum data output by the wind profile radar;
the original data processing module is used for carrying out data processing on the original spectrum data to obtain velocity component data on different height layers in three directions of a vertical direction, a north-south direction and an east-west direction and signal-to-noise ratio data representing signal echo intensity on each height layer;
the data reliability grading preprocessing module is used for respectively processing and screening effective data for the speed components and the signal-to-noise ratio data of layers with different heights in three directions by adopting the same preprocessing method;
and the data quality credibility grading treatment is used for grading the credibility of the effective data of each height layer into a plurality of grades according to a preset credibility grading criterion.
9. The wind profile radar data quality credibility rating system of claim 8, further comprising:
and the product data generation module is used for forming product data on each height based on the obtained horizontal wind speed, horizontal wind direction, vertical speed, horizontal wind reliability mark and vertical wind reliability mark of each height.
10. A wind profile radar data quality credibility grading device is characterized by comprising: the wind profile radar data quality credibility grading system comprises a magnetic disk, a PCI bus, a shared memory, an Ethernet card and a display, wherein the wind profile radar data quality credibility grading system of claim 8 or 9 is stored on the magnetic disk, the system is loaded into the shared memory through the PCI bus during operation, a data processing computer is connected with a signal processor in the wind profile radar system through the Ethernet card, the signal processor outputs original spectrum data obtained after wind field signal echo sampling and processing when the wind profile radar works, and the wind profile radar data quality credibility grading system stores the obtained product data on the magnetic disk and displays the product data on the display in a graph and list mode after carrying out credibility grading processing on the original spectrum data.
11. A computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method of grading wind profile radar data quality credibility according to any one of claims 1 to 7.
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