Weather Radar Biomass Estimation Method and Device Based on Motion Direction Information

Abstract

The present invention relates to the field of radar detection technology, and provides a weather radar biological body type estimation method and device based on motion direction information. The method includes the following steps: collecting Doppler velocity data of a biological object and differential reflectivity factor data of an echo, and performing spatial matching according to range bins and azimuth angles; performing cosine fitting on the function of Doppler velocity varying with the azimuth sequence; constructing a sine function to represent the differential reflectivity factor; selecting differential reflectivity factors of any two different points in the azimuth sequence, and calculating the values of #imgabs0# and #imgabs1#; forming a binary linear equation system with the differential reflectivity factors of the two points, and solving to obtain K f and K l ; traversing other different two points in the azimuth sequence, and solving all binary linear equation systems to obtain the average values of #imgabs2# and #imgabs3#. According to the Doppler velocity, the present invention obtains differential reflectivity factor parameters combined with motion information, makes the value of the differential reflectivity factor more accurate, solves the ratio of the long and short axes of the biological object in the lateral and end directions to determine the biological body type, and improves the accuracy of biological information extraction.

Description

Technical Field

[0001] The present invention relates to the technical field of radar detection, and in particular, to a method and device for estimating the body shape of weather radar based on motion direction information. Background Art

[0002] Bird strike refers to an event in which an aircraft collides with animals such as birds and bats during takeoff, landing or flight, or an event in which normal flight activities are affected by animal activities. According to the "Analysis Report on Bird Strikes on Civil Aviation Aircraft in China in 2012" released by the Civil Aviation Administration of China, a total of 2,553 bird strike incidents occurred in the whole industry in China, including 148 accident symptoms, accounting for 55% of the total number of all accident symptoms; 429 bird strike incidents occurred within the scope of airport responsibility, involving 85 airports in total, with an economic loss of 187 million yuan. The above data are mainly incomplete statistics from aspects such as mechanical maintenance and route operation, and do not include indirect losses caused by flight cancellations, delays, etc.

[0003] At present, the bird situation observation means of civil aviation in China uses relevant technical means such as detection radar to support the auxiliary work of bird repelling. The advantages of radar are that it is not restricted by factors such as visibility and bad weather, and has the advantages of all-weather, automation, large monitoring area, wide application range, etc. Ecological targets flying in the air have large differences in the radar cross-sectional areas in the horizontal and vertical directions due to the characteristics of body shape and posture such as body length, body width, and wing shape, resulting in different echoes of horizontally polarized electromagnetic waves and vertically polarized electromagnetic waves. Therefore, the body shape of organisms can be estimated from the information in the weather radar echo.

[0004] However, different angles between the ecological target and the propagation direction of radar electromagnetic waves will cause changes in the dual polarization amount of the ecological target echo; moreover, the motion direction of the ecological target will lead to differences in the body posture of the organism, and different body postures will cause different polarization characteristics of radar electromagnetic waves at different incident angles, especially affecting the differential reflectivity factor, making the value of the differential reflectivity factor unable to adapt to different polarization data, so the calculation error of the extracted biological body shape information is very large. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to obtain biological motion information based on radar Doppler velocity, combine the motion information to take values for the differential reflectivity factor parameters, and then solve the ratio of the long and short axes of the biological side and end to determine the biological body shape, so as to improve the accuracy of biological information extraction.

[0006] The present invention provides a method for estimating the body shape of weather radar based on motion direction information, including the following steps:

[0007] S1. Collect the Doppler velocity data of the ecological target and the differential reflectivity factor data of the biological echo, and spatially match the Doppler velocity and the differential reflectivity factor according to the range bin and azimuth angle.

[0008] The relational expression between the Doppler velocity and the movement velocity of the ecological target is:

[0009]

[0010] In formula (1.1), V bio is the movement velocity of the ecological target, v r is the radial velocity of the weather radar = Doppler velocity, φ is the angle between the biological movement direction and the weather radar radial direction, and Δv is the system deviation.

[0011] S2. Select the function v r of the Doppler velocity v r (n) that varies with the azimuth sequence n. The expression of the function v r (n) is:

[0012]

[0013] Perform cosine fitting on the function v r (n). The function of the cosine fitting is:

[0014]

[0015] In formula (1.3), φ≈c;

[0016] S3. Construct a sine function according to the fitting result of the cosine fitting:

[0017]

[0018] The differential reflectivity factor zdr r (n) expressed by the sine function (1.4) is:

[0019]

[0020] In formula (1.5), K f and K l are biological shape parameters, K f is the aspect ratio of the long and short axes of the biological side, and K l is the aspect ratio of the long and short axes of the end direction of the biological tail or head;

[0021] S4. Select the differential reflectivity factors zdr r (n i ) and zdr r (n j), the calculation results in and values;

[0022] Based on the known and zdr r (n), transform Equation (1.5) into a binary linear equation. By using the differential reflectivity factor data of the biological echoes at any two points to form a system of binary linear equations, solve the system of binary linear equations to obtain K f and K l . The system of binary linear equations is:

[0023]

[0024] S5. Continue to select other two different points in the azimuth sequence n, repeat step S4 until the azimuth sequence n is traversed, and solve all systems of binary linear equations (1.6) to obtain the average values of K f and K l ; and

[0025] Furthermore, after step S5, it further includes: outputting the average values and to a specified position, and determining the body shape of the ecological target by the ratio of the lateral to the end - to - end long and short axes of the ecological target represented by print .

[0026] The present invention also provides a weather radar biological body shape estimation device based on motion direction information, which executes the weather radar biological body shape estimation method based on motion direction information as described above, including:

[0027] Weather radar: used to collect the Doppler velocity data of the ecological target and the differential reflectivity factor data of the biological echoes;

[0028] Data loader: used to load the Doppler velocity data and the differential reflectivity factor data and perform spatial matching according to the range bin and azimuth angle;

[0029] Azimuth fitting processor: used to obtain the angle between the biological motion direction and the weather radar radial direction through the input radar radial velocity data;

[0030] Differential reflectivity factor operator: using the output result of the azimuth fitting processor and the matched differential reflectivity factor to construct a system of binary linear equations and solve the lateral long - to - short axis ratio and end - to - end long - to - short axis ratio of the organism.

[0031] Furthermore, the weather radar biological body shape estimation device further includes:

[0032] Data outputter: Output the lateral aspect ratio and end aspect ratio of the ecological target, and determine the body shape of the ecological target based on the aspect ratios of the lateral side to the tail end or the head end of the ecological target.

[0033] The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the weather radar biological body shape estimation method as described above are implemented.

[0034] The present invention also provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the weather radar biological body shape estimation method as described above are implemented.

[0035] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0036] The present invention obtains biological motion information through radar Doppler velocity, obtains a differential reflectivity factor parameter combined with motion information, makes the value of the differential reflectivity factor more accurate, solves the aspect ratios of the lateral side and the end of the organism to determine the body shape of the organism, and greatly improves the accuracy of biological information extraction. Brief Description of the Drawings

[0037] By reading the detailed description of the preferred embodiments below, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention.

[0038] In the drawings:

[0039] Figure 1 is a flowchart of the weather radar biological body shape estimation method based on motion direction information of the present invention;

[0040] Figure 2 is a schematic diagram of the composition of the computer device according to an embodiment of the present invention;

[0041] Figure 3 is a schematic diagram of the angle between the biological motion direction and the weather radar radial direction according to an embodiment of the present invention;

[0042] Figure 4 is the radar radial velocity v r of the present invention changing with the azimuth sequence n;

[0043] Figure 5 is a schematic diagram of the system composition of the weather radar biological body shape estimation device according to an embodiment of the present invention;

[0044] Figure 6It is the radar echo map generated by the migration activities of the nocturnal bird group targets detected by the weather radar in the application example of the present invention;

[0045] Figure 7 It is the histogram of the probability distribution of the differential reflectivity factor and Doppler velocity of the migration echo of the bird group target in the application example of the present invention;

[0046] Figure 8 It is the fitting result graph of the cosine of the Doppler velocity of the bird group target in the application example of the present invention and the fitting result graph represented by the velocity sine function based on the cosine fitting result;

[0047] Figure 9 It is the result distribution graph of the lateral axial ratio and end axial ratio of the bird group target in the application example of the present invention;

[0048] Figure 10 It is the histogram of the probability distribution of the lateral axial ratio and end axial ratio of the bird group target object in the application example of the present invention;

[0049] Figure 11 It is the example graph of the body shape of the bird target object in the application example of the present invention. Detailed implementation manners

[0050] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. On the contrary, they are merely examples of devices and products consistent with some aspects of the present disclosure as detailed in the appended claims.

[0051] The terms used in the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure. The singular forms "a", "the" and "said" used in the present disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0052] It should be understood that although the terms first, second, third, etc. may be used in the present disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to determining".

[0053] The embodiments of the present invention will be further described in detail below with reference to the drawings.

[0054] An embodiment of the present invention provides a method for estimating the biological body type of a weather radar based on motion direction information. Refer to Figure 1 as shown, the method includes the following steps:

[0055] S1. Collect the Doppler velocity data of the ecological target and the differential reflectivity factor data of the biological echo, and perform spatial matching on the Doppler velocity and the differential reflectivity factor according to the range bin and azimuth angle;

[0056] The relational expression between the Doppler velocity and the motion velocity of the ecological target is:

[0057]

[0058] In formula (1.1), V bio is the motion velocity of the ecological target, v r is the radial velocity of the weather radar = Doppler velocity, φ is the angle between the biological motion direction and the radial direction of the weather radar (refer to Figure 3 as shown), and Δv is the system deviation;

[0059] S2. Select the function v r of the Doppler velocity v r (n) that changes with the azimuth sequence n. The expression of the function v r (n) is:

[0060]

[0061] Refer to Figure 4 as shown for the schematic diagram of the Doppler velocity v r changing with the azimuth sequence n;

[0062] Perform cosine fitting on the function v r (n). The function of the cosine fitting is:

[0063]

[0064] In formula (1.3), φ≈c;

[0065] S3. Construct a sine function according to the fitting result of the cosine fitting:

[0066]

[0067] The differential reflectivity factor zdr r (n) expressed by the sine function (1.4) is:

[0068]

[0069] In formula (1.5), Kf and K l are biological form parameters, where K f is the aspect ratio of the long and short axes in the lateral direction of the organism, and K l is the aspect ratio of the long and short axes in the end direction of the tail or head of the organism;

[0070] S4. Select the differential reflectivity factor zdr r (n i ) and zdr r (n j ), calculate to obtain and values;

[0071] Based on the known and zdr r (n), transform Equation (1.5) into a binary linear equation, form a system of binary linear equations through the differential reflectivity factor data of the biological echoes of any two points, solve the system of binary linear equations, and obtain K f and K l , the system of binary linear equations is:

[0072]

[0073] S5. Continue to select other two different points in the azimuth sequence n, repeat step S4 until the azimuth sequence n is traversed, and solve all systems of binary linear equations (1.6) to obtain the average values of K f and K l and

[0074] After the above step S5, it further includes: outputting the average values and to a specified position, and determining the body shape of the ecological target object through the aspect ratios of the long and short axes in the lateral direction and the end direction of the tail or head of the ecological target object represented by and .

[0075] The present invention also provides a weather radar biological body shape estimation device based on motion direction information, which executes the weather radar biological body shape estimation method based on motion direction information as described above. Refer to Figure 5 as shown, including:

[0076] Weather radar: used to collect the Doppler velocity data of the ecological target object and the differential reflectivity factor data of the biological echo;

[0077] Data loader: used to load the Doppler velocity data and the differential reflectivity factor data and perform spatial matching according to the range bin and azimuth angle; ​

[0078] Azimuth fitting processor: used to obtain the angle between the biological movement direction and the weather radar radial direction through the input radar radial velocity data;

[0079] Differential reflectivity factor calculator: Using the output result of the azimuth fitting processor and the matched differential reflectivity factor, construct a system of binary linear equations, and solve the lateral aspect ratio and end-on aspect ratio of the organism.

[0080] Data outputter: Output the lateral aspect ratio and end-on aspect ratio of the ecological target object, and determine the body shape of the ecological target object through the aspect ratio of the lateral side to the tail end or head end of the ecological target object.

[0081] Application example

[0082] Using the weather radar biological body shape estimation method based on movement direction information of the present invention, the weather radar detects the migration activity of bird flocks at night. See Figure 6 As shown, the bird flock target causes a large area of echoes to appear on the weather radar.

[0083] See Figure 7 As shown is the probability distribution of the differential reflectivity factor and Doppler velocity of the bird flock migration echo;

[0084] See Figure 8 As shown is the cosine fitting result based on the Doppler velocity of the bird flock target, and the fitting result represented by the velocity sine function based on the cosine fitting result;

[0085] See Figure 9 As shown is the result distribution of the lateral axis ratio and end-on axis ratio of the calculated bird flock target;

[0086] In the application example of the present invention, taking the average value of the axis ratio of the bird target object gives a lateral axis ratio of 6.2 dB and an end-on axis ratio of 1.7 dB, obtaining a lateral axis ratio of 4.1 and an end-on axis ratio of 1.5 for the bird body shape on that day. The ratio of the length, width, and height of the bird is 4.1:1.5:1. See Figure 10 As shown is the bar chart of the probability distribution of the lateral axis ratio and end-on axis ratio of the bird flock target object; See Figure 11 As shown is an example of the body shape of the bird target object.

[0087] Through the actual measurement of the application example, the embodiment of the present invention obtains biological movement information according to the radar Doppler velocity, obtains the differential reflectivity factor parameters combined with the movement information, makes the value of the differential reflectivity factor more accurate, solves the lateral and end-on aspect ratios of the organism to determine the organism body shape, and greatly improves the accuracy of biological information extraction.

[0088] The embodiment of the present invention also provides a computer device, Figure 2It is a schematic structural diagram of a computer device provided by an embodiment of the present invention; refer to the accompanying drawings Figure 2 As shown, the computer device includes: an input device 23, an output device 24, a memory 22, and a processor 21; the memory 22 is used to store one or more programs; when the one or more programs are executed by the one or more processors 21, the one or more processors 21 implement the weather radar biological body type estimation method based on motion direction information provided in the above embodiment; wherein the input device 23, the output device 24, the memory 22, and the processor 21 can be connected through a bus or other means, Figure 2 Taking the connection through the bus as an example.

[0089] The memory 22, as a readable and writable storage medium of a computing device, can be used to store software programs and computer-executable programs, such as the program instructions corresponding to the weather radar biological body type estimation method based on motion direction information described in the embodiment of the present invention; the memory 22 mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the device, etc.; in addition, the memory 22 can include high-speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices; in some instances, the memory 22 can further include a memory remotely set relative to the processor 21, and these remote memories can be connected to the device through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0090] The input device 23 can be used to receive input digital or character information, and generate key signal inputs related to the user settings and function control of the device; the output device 24 can include display devices such as a display screen.

[0091] The processor 21 executes various functional applications and data processing of the device by running software programs, instructions, and modules stored in the memory 22, that is, implements the above-mentioned weather radar biological body type estimation method based on motion direction information.

[0092] The above-provided computer device can be used to execute the weather radar biological body type estimation method based on motion direction information provided in the above embodiment, and has corresponding functions and beneficial effects.

[0093] An embodiment of the present invention also provides a storage medium containing computer-executable instructions. When the computer-executable instructions are executed by a computer processor, they are used to execute the weather radar biological body type estimation method based on motion direction information provided in the above embodiment. The storage medium is any of various types of memory devices or storage devices, including: installation media, such as CD-ROMs, floppy disks, or magnetic tape devices; computer system memories or random access memories, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memories, such as flash memories, magnetic media (such as hard disks or optical storage); registers or other similar types of memory elements, etc.; the storage medium may also include other types of memories or combinations thereof; additionally, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system, and the second computer system is connected to the first computer system through a network (such as the Internet); the second computer system may provide program instructions to the first computer for execution. The storage medium includes two or more storage media that may reside in different locations (e.g., in different computer systems connected through a network). The storage medium may store program instructions executable by one or more processors (e.g., specifically implemented as a computer program).

[0094] Of course, for a storage medium containing computer-executable instructions provided in an embodiment of the present invention, the computer-executable instructions are not limited to the weather radar biological body type estimation method based on motion direction information described in the above embodiment, and may also execute related operations in the weather radar biological body type estimation method based on motion direction information provided in any embodiment of the present invention.

[0095] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

[0096] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention may have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for estimating the biological body type of a weather radar based on motion direction information, characterized in that It includes the following steps: S1. Collect the Doppler velocity data of the ecological target and the differential reflectivity factor data of the biological echo, and spatially match the Doppler velocity and the differential reflectivity factor according to the range bin and azimuth angle; The relational expression between the Doppler velocity and the movement velocity of the ecological target is: In Equation (1.1), V bio is the moving speed of the ecological target, v r is the radial velocity of the weather radar = Doppler velocity, φ is the angle between the biological movement direction and the radial direction of the weather radar, and Δv is the system deviation; S2. Select the Doppler velocity v r Function v that varies with the azimuth sequence n r (n), and the expression of the function v r (n) is: Perform a cosine fit on the function v r (n), and the function of the cosine fit is: In formula (1.3), φ≈c; S3. Construct a sine function according to the fitting result of the cosine fitting: The differential reflectivity factor $Z_{DR}$ expressed by the sine function (1.4) r (n) is as follows: In formula (1.5), K f and K l are biological shape parameters, K f is the aspect ratio of the long and short axes in the lateral direction of the organism, and K l is the aspect ratio of the long and short axes in the end direction of the tail or head of the organism; S4. Select the differential reflectivity factor zdr of any two different points in the azimuth sequence n r (n i ) and zdr r (n j ), and calculate the values of and ; Based on the known and zdr r (n), equation (1.5) is transformed into a binary linear equation. A binary linear equation system is formed by the differential reflectivity factor data of the biological echoes at any two points, and the binary linear equation system is solved to obtain K f and K l , and the binary linear equation system is as follows: S5. Continue to select other two different points in the azimuth sequence n, repeat step S4 until the azimuth sequence n is traversed, and solve all the binary linear equations (1.6) to obtain K f and K l average value and 2. The weather radar biological body type estimation method according to claim 1, wherein After the step S5, it further includes: outputting the average value and to a specified position, and determining the body shape of the ecological target by the ratio of the long and short axes of the lateral side to the end side (tail end or head end) of the ecological target represented by and .

3. A weather radar biological body size estimation device based on motion direction information, which executes the weather radar biological body size estimation method based on motion direction information as described in claim 1 or 2, and is characterized in that, It includes: Weather radar: used to collect the Doppler velocity data of the ecological target and the differential reflectivity factor data of the biological echo; Data loader: used to load the Doppler velocity data and the differential reflectivity factor data and spatially match them according to the range bin and azimuth angle; Azimuth fitting processor: used to obtain the angle between the biological movement direction and the weather radar radial direction through the input radar radial velocity data; Differential reflectivity factor calculator: use the output result of the azimuth fitting processor and the matched differential reflectivity factor to construct a system of binary linear equations, and solve the lateral major-to-minor axis ratio and end-on major-to-minor axis ratio of the organism.

4. The weather radar biological body type estimation device according to claim 3, characterized in that, It also includes: Data outputter: output the lateral major-to-minor axis ratio and end-on major-to-minor axis ratio of the ecological target, and determine the body shape of the ecological target through the major-to-minor axis ratio of the side and the tail or head end of the ecological target.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the weather radar biological body shape estimation method described in claim 1 or 2.

6. A computer device, the computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the weather radar biological body shape estimation method described in claim 1 or 2.

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