Data Analysis Method for X, C Multi-band Radar

Abstract

The present invention discloses a data analysis method for an X-band and C-band multi-band radar, relating to the technical field of electronic digital data processing. The data analysis method for an X-band and C-band multi-band radar comprises the following steps: acquiring detection data; X-band detection evaluation; C-band detection evaluation; and micro-pressure evaluation. The present invention obtains an X-band detection evaluation coefficient from X-band monitoring data and determines whether to perform an X-band adjustment. Then, based on the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data, the C-band detection evaluation coefficient is obtained and determined whether to perform a C-band adjustment. Finally, based on the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data, the micro-pressure evaluation coefficient is obtained and determined whether to perform a severe convection prediction. This improves the accuracy of tornado detection analysis based on radar data, solving the problem of low accuracy of tornado detection analysis based on radar data in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, in particular to a data analysis method for X, C multi-band radar. Background Art

[0002] Due to its short wavelength, X-band radar has very high resolution, capable of capturing extremely fine weather phenomena or target features. This makes it excellent for localized severe weather monitoring, blind spot detection, and target tracking. X-band radar typically uses small antennas and has relatively low equipment costs. This makes it easier to deploy over a wide area, especially in cost-constrained or space-constrained environments. C-band radar has a higher operating frequency and wider bandwidth, enabling high-speed target search and tracking. Due to its higher frequency, its signal is less affected by terrain and weather conditions, maintaining high accuracy and reliability even in complex environments. With the continuous advancement of radar technology, the performance of C-band radar is also improving. For example, the use of more advanced signal processing techniques and more efficient transmit / receive systems has further improved the detection range and accuracy of C-band radar.

[0003] Existing radar data analysis methods are mainly based on fusing data from different radar bands, different sensors or different time periods, which can obtain more comprehensive and accurate target information.

[0004] For example, the invention patent publication number CN116089523B discloses a processing system for big data analysis based on low-altitude radar information. This system includes a database, a cloud server, an information collection module, an information classification module, an information retrieval module, an information analysis module, and a visualization module. These modules operate on the cloud server, while the database input and output are open to all other modules within the system.

[0005] For example, the invention patent announcement with publication number: CN112214467B discloses a high-speed storage system and storage method for real-time clutter data collected by a multi-band radar, including: a plurality of radar clutter data collection nodes, two or more data management nodes, a plurality of high-speed storage devices, two or more 10 Gigabit Ethernet switches, and two or more FC switches. Each radar clutter data collection node is respectively connected to and communicates with the radar, the 10 Gigabit Ethernet switch, and the FC switch; the two data management nodes are respectively connected to and communicates with the 10 Gigabit Ethernet switch and the FC switch; and each high-speed storage device is respectively connected to and communicates with the FC switch.

[0006] However, in the process of implementing the technical solutions of the embodiments of the present application, the present application discovered that the above technology has at least the following technical problems:

[0007] In existing technologies, electromagnetic waves are affected by atmospheric conditions and surface features during tornado detection (tornadoes are localized, small-scale, sudden, and extremely destructive severe convective weather disasters), which may cause detection signals to attenuate, resulting in low accuracy in tornado analysis based on radar data. Summary of the Invention

[0008] The embodiments of the present application solve the problem of low accuracy of tornado detection analysis based on radar data in the prior art by providing a data analysis method for X and C multi-band radars, thereby improving the accuracy of tornado detection analysis based on radar data.

[0009] An embodiment of the present application provides a data analysis method for an X-band and C-band multi-band radar, comprising the following steps: S1, acquiring X-band monitoring data, C-band monitoring data, and micro-pressure detection data based on a deployed preset tornado monitoring network; S2, acquiring an X-band detection evaluation coefficient based on the X-band monitoring data, and determining whether to perform an X-band adjustment based on the X-band detection evaluation coefficient, wherein the X-band detection evaluation coefficient is used to evaluate the refined compliance of the X-band radar with detecting tornadoes within a preset monitoring area; S3, acquiring a C-band detection evaluation coefficient based on the X-band-adjusted X-band detection evaluation coefficient and the C-band monitoring data, and determining whether to perform a C-band adjustment based on the C-band detection evaluation coefficient, wherein the C-band detection evaluation coefficient is used to evaluate the compliance of the C-band radar with detecting tornadoes within the preset monitoring area; S4, acquiring a micro-pressure evaluation coefficient based on the C-band-adjusted C-band detection evaluation coefficient and the micro-pressure detection data, and determining whether to perform a severe convection prediction based on the micro-pressure evaluation coefficient, wherein the micro-pressure evaluation coefficient is used to evaluate the compliance of micro-pressure changes within the preset monitoring area.

[0010] Furthermore, the X-band monitoring data includes X-band radar frequency, tornado radial velocity and X-band radar echo intensity; the tornado radial velocity represents the radial movement speed of the tornado relative to the X-band radar within the preset monitoring area; the C-band monitoring data includes C-band radar transmit power, antenna gain, C-band radar scattering cross section of moving particles and a first distance; the first distance represents the distance between the tornado particles and the C-band radar within the preset monitoring area; the micro-pressure detection data includes pressure change, second distance, third distance, X-band radar wavelength and C-band radar wavelength; the second distance represents the distance between the X-band radar and the microwave meter within the preset monitoring area; the third distance represents the distance between the C-band radar and the microwave meter within the preset monitoring area.

[0011] Furthermore, the specific process of obtaining the X-band detection evaluation coefficient based on the X-band monitoring data is as follows: A1, combining the tornado radial velocity, the X-band radar frequency, and the speed of light obtained from the database to obtain an initial frequency shift; A2, obtaining a frequency shift coincidence ratio, wherein the frequency shift coincidence ratio is represented by the result of a ratio operation between the initial frequency shift and a preset frequency shift threshold obtained from the database; A3, obtaining a radial velocity coincidence ratio, wherein the radial velocity coincidence ratio is represented by the result of a ratio operation between the tornado radial velocity and the preset radial velocity threshold obtained from the database; A4, combining the X-band radar echo intensity and the precipitation particle constant to obtain an initial reflectivity factor, wherein the initial reflectivity factor is used to reflect the echo reflection condition of the X-band radar within the preset monitoring area; A5, obtaining a reflectivity factor coincidence ratio, wherein the reflectivity factor coincidence ratio is used to reflect the echo reflection condition of the X-band radar within the preset monitoring area; A6, combining the frequency shift coincidence ratio, the radial velocity coincidence ratio, and the reflectivity factor coincidence ratio to obtain the X-band detection evaluation coefficient.

[0012] Furthermore, the restriction expression of the X-band detection evaluation coefficient is as follows:

[0013] ;

[0014] ;

[0015] ;

[0016] ;

[0017] Where XBD represents the X-band detection evaluation coefficient of the X-band radar, n represents the time variable, , Indicates the monitoring start time point, Indicates monitoring the current time point. represents the frequency shift coincidence ratio of the X-band radar at time n, represents the radial velocity coincidence ratio of the X-band radar at time n, It represents the reflectivity factor coincidence ratio of the X-band radar at time n, represents the X-band radar frequency of the X-band radar at time n, represents the radial velocity of the tornado at time n by the X-band radar, represents the X-band radar echo intensity at time n, represents the speed of light, represents the precipitation particle constant, Indicates the preset frequency shift threshold, Indicates the preset radial velocity threshold, The reflectivity factor threshold is preset, and e represents a natural constant.

[0018] Furthermore, the specific process of obtaining the C-band detection evaluation coefficient based on the X-band adjusted X-band detection evaluation coefficient and the C-band monitoring data is as follows: B1, obtaining an initial echo power by combining the C-band radar transmit power, antenna gain, mobile particle C-band radar scattering cross section, and the first distance, wherein the initial echo power is used to reflect the C-band radar's recognition of a tornado within a preset monitoring area; B2, obtaining an echo power coincidence ratio, wherein the echo power coincidence ratio is represented by a ratio operation result between the initial echo power and a preset radar echo power threshold obtained from a database, wherein the echo power coincidence ratio is used to reflect the C-band radar's recognition of a tornado within the preset monitoring area; and B3, obtaining a C-band detection evaluation coefficient by combining the echo power coincidence ratio, a preset first detection allocation weight, a preset second detection allocation weight, and the X-band detection evaluation coefficient of the X-band radar after the X-band adjustment.

[0019] Furthermore, the specific process of obtaining the micro-pressure evaluation coefficient based on the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data is as follows: C1, combining the second distance and the wavelength of the X-band radar to obtain the initial X-band loss, and the initial X-band loss is used to reflect the propagation loss of the X-band radar; C2, obtaining the X-band loss coincidence ratio, and the X-band loss coincidence ratio is represented by the result of the difference operation between the initial X-band loss and the preset X-band propagation loss threshold obtained from the database, and the X-band loss coincidence ratio is used to reflect the propagation loss compliance of the X-band radar; C3, combining the third distance and the wavelength of the C-band radar to obtain the initial C-band loss, and the initial C-band loss is used to reflect the propagation loss of the C-band radar. C4, obtaining a C-band loss compliance ratio, which is represented by a difference operation between the initial C-band loss and a preset C-band propagation loss threshold obtained from a database, and is used to reflect the propagation loss compliance of the C-band radar; C5, obtaining a micro-pressure change compliance ratio, which is represented by a ratio operation between the pressure change and a preset micro-pressure change threshold obtained from a database, and is used to reflect the compliance of the micro-pressure change in a preset monitoring area; C6, obtaining a micro-pressure evaluation coefficient by combining the X-band loss compliance ratio, the C-band loss compliance ratio, the micro-pressure change compliance ratio and the X-band detection evaluation coefficient of the X-band radar after X-band adjustment.

[0020] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0021] 1. Determine whether to perform X-band adjustment based on the obtained X-band detection evaluation coefficient. Then, obtain the C-band detection evaluation coefficient based on the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data, and determine whether to perform C-band adjustment. Finally, obtain the micro-pressure evaluation coefficient based on the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data, and determine whether to perform severe convection prediction. This improves the reliability of tornado prediction and further improves the accuracy of tornado detection analysis based on radar data, effectively solving the problem of low accuracy of tornado detection analysis based on radar data in the existing technology.

[0022] 2. The X-band detection evaluation coefficient is obtained through the frequency shift coincidence ratio, radial velocity coincidence ratio, and reflectivity factor coincidence ratio. The C-band detection evaluation coefficient is then obtained by combining the echo power coincidence ratio, the preset first detection allocation weight, the preset second detection allocation weight, and the X-band detection evaluation coefficient of the X-band radar after X-band adjustment. Finally, the micro-pressure evaluation coefficient is obtained by combining the X-band loss coincidence ratio, the C-band loss coincidence ratio, the micro-pressure change coincidence ratio, and the X-band detection evaluation coefficient of the X-band radar after X-band adjustment. This improves the accuracy of tornado detection capability assessment and further achieves precise quantification of tornado detection capability assessment.

[0023] 3. By judging whether the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, then judging whether the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, and finally judging whether the micro-pressure evaluation coefficient is not lower than the preset micro-pressure threshold obtained from the database, dynamic adjustment of tornado detection is achieved, thereby achieving improved tornado detection effectiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 Flowchart of a data analysis method for X, C multi-band radar provided in an embodiment of the present application;

[0025] Figure 2 An overall flow chart provided for the embodiments of this application;

[0026] Figure 3 A statistical diagram of changes in the radial velocity coincidence ratio provided in an embodiment of the present application;

[0027] Figure 4 This is a radar detection network provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The embodiments of the present application solve the problem of low accuracy of tornado detection analysis based on radar data in the prior art by providing a data analysis method for X-band and C-band radars. X-band monitoring data, C-band monitoring data, and micro-pressure detection data are obtained through a deployed preset tornado monitoring network. An X-band detection evaluation coefficient is then obtained based on the X-band monitoring data. Whether to perform an X-band adjustment is determined based on the X-band detection evaluation coefficient. A C-band detection evaluation coefficient is then obtained based on the X-band-adjusted X-band detection evaluation coefficient and the C-band monitoring data. Whether to perform a C-band adjustment is determined based on the C-band detection evaluation coefficient. Finally, a micro-pressure evaluation coefficient is obtained based on the C-band-adjusted C-band detection evaluation coefficient and the micro-pressure detection data. Whether to perform a severe convection prediction is determined based on the micro-pressure evaluation coefficient, thereby improving the accuracy of tornado detection analysis based on radar data.

[0029] The technical solution in the embodiment of the present application is to solve the problem of low accuracy of tornado analysis based on radar data. The overall idea is as follows:

[0030] The X-band detection evaluation coefficient is obtained through X-band monitoring data to determine whether to perform X-band adjustment. Then, the C-band detection evaluation coefficient is obtained based on the X-band detection evaluation coefficient after X-band adjustment and the C-band monitoring data to determine whether to perform C-band adjustment. Finally, the micro-pressure evaluation coefficient is obtained based on the C-band detection evaluation coefficient after C-band adjustment and the micro-pressure detection data to determine whether to perform severe convection prediction, thereby achieving the effect of improving the accuracy of tornado detection analysis based on radar data.

[0031] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0032] like Figure 1As shown, it is a flow chart of a data analysis method for an X-band and C-band radar provided in an embodiment of the present application, the method comprising the following steps: S1, acquiring detection data: acquiring X-band monitoring data, C-band monitoring data and micro-pressure detection data according to a deployed preset tornado monitoring network, wherein the X-band monitoring data is used to reflect the refined compliance of the radar in detecting tornadoes in a preset monitoring area, the C-band monitoring data is used to reflect the compliance of the radar in detecting tornadoes in a preset monitoring area, and the micro-pressure detection data is used to reflect the change of micro-pressure in the preset monitoring area; S2, X-band detection evaluation: acquiring an X-band detection evaluation coefficient according to the X-band monitoring data, determining whether to perform X-band adjustment based on the X-band detection evaluation coefficient, and the X-band detection evaluation coefficient is used to evaluate the X-band radar in The X-band adjustment is used to improve the detection accuracy of the X-band radar based on the refined compliance of tornado detection in the preset monitoring area. S3, C-band detection evaluation: The C-band detection evaluation coefficient is obtained based on the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data. Based on the C-band detection evaluation coefficient, it is determined whether to perform the C-band adjustment. The C-band detection evaluation coefficient is used to evaluate the compliance of the C-band radar's ability to detect tornadoes in the preset monitoring area. The C-band adjustment is used to reduce the interference of the C-band radar. S4, micro-pressure assessment: The micro-pressure assessment coefficient is obtained based on the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data. Based on the micro-pressure assessment coefficient, it is determined whether to perform a severe convection forecast. The micro-pressure assessment coefficient is used to evaluate the compliance of micro-pressure changes in the preset monitoring area.

[0033] like Figure 2 The figure shows the overall flow chart of an embodiment of the present application. The tornado monitoring network is configured in a "4+1+1+N" configuration (quadrilateral + center + mobile + auxiliary) with four digital X-band precision radars (X-band radars), one C-band high-speed search radar (C-band radar), and one mobile ultra-fine radar. Four micromanometers and one observation camera are also deployed. The X-band detection evaluation coefficient, the C-band detection evaluation coefficient, and the micropressure evaluation coefficient are closely intertwined and linked. The higher the resolution of the X-band radar, the more accurate its detection results. Therefore, a higher X-band detection evaluation coefficient indicates a more reliable X-band radar detection result. A higher C-band detection evaluation coefficient indicates that the C-band radar can accurately capture information about micropressure changes, which facilitates the subsequent calculation of the micropressure evaluation coefficient and the prediction of severe convective phenomena (tornadoes). Together, the X-band detection evaluation coefficient, the C-band detection evaluation coefficient, and the micropressure evaluation coefficient constitute a complete tornado monitoring system. They are interrelated and influence each other, and together improve the accuracy and reliability of tornado monitoring; and achieve an improvement in the accuracy of tornado detection analysis based on radar data.

[0034] It should be added that the X-band monitoring data includes the X-band radar frequency, tornado radial velocity and X-band radar echo intensity; the tornado radial velocity indicates the radial movement speed of the tornado relative to the X-band radar within the preset monitoring area; the C-band monitoring data includes the C-band radar transmit power, antenna gain, C-band radar scattering cross-section of moving particles and the first distance; the first distance indicates the distance between the tornado particles and the C-band radar within the preset monitoring area; the micro-pressure detection data includes the pressure change, the second distance, the third distance, the X-band radar wavelength and the C-band radar wavelength; the second distance indicates the distance between the X-band radar and the microwave meter within the preset monitoring area; the third distance indicates the distance between the C-band radar and the microwave meter within the preset monitoring area.

[0035] Specifically, the X-band radar frequency and X-band radar echo intensity are directly obtained through the radar, the radial velocity of the tornado relative to the radar is obtained through the principle of the Doppler effect, the C-band radar transmission power, antenna gain, first distance, second distance, third distance, X-band radar wavelength and C-band radar wavelength are directly obtained through the radar, the echo signal power and transmission power of the C-band radar are measured by a power meter, the scattered power of the C-band radar is obtained based on the radar equation, the incident power density is obtained by combining the transmission power, antenna gain and third distance, the C-band radar scattering cross section of the moving particle is obtained by combining the incident power density and the scattered power, and the pressure change within a preset time period is measured by a micromanometer. In this way, the accuracy of tornado detection analysis based on radar data is improved.

[0036] Furthermore, the specific process of obtaining the X-band detection evaluation coefficient based on the X-band monitoring data is as follows: A1, combining the tornado radial velocity, the X-band radar frequency and the speed of light obtained from the database to obtain the initial frequency shift (i.e., the value in the restricted expression of the X-band detection evaluation coefficient). ), the initial frequency shift is used to reflect the frequency shift of the X-band radar in the preset monitoring area; A2, obtain the frequency shift coincidence ratio (i.e. the limit expression of the X-band detection evaluation coefficient ), the frequency shift coincidence ratio is expressed by the ratio operation between the initial frequency shift and the preset frequency shift threshold obtained from the database. The frequency shift coincidence ratio is used to reflect the frequency shift coincidence of the X-band radar in the preset monitoring area; A3, obtain the radial velocity coincidence ratio (i.e., the value in the restriction expression of the X-band detection evaluation coefficient). ), the radial velocity coincidence ratio is expressed by the ratio calculation result of the tornado moving radial velocity and the preset radial velocity threshold obtained from the database. The radial velocity coincidence ratio is used to reflect the radial velocity coincidence of the X-band radar in the preset monitoring area; A4, the initial reflectivity factor is obtained by combining the X-band radar echo intensity and the precipitation particle constant (that is, the value in the restriction expression of the X-band detection evaluation coefficient). ), the reflectivity factor is expressed by the product of the X-band radar echo intensity and the precipitation particle constant obtained from the database. The initial reflectivity factor is used to reflect the echo reflection of the X-band radar in the preset monitoring area; A5, obtain the reflectivity factor compliance ratio (i.e., the value in the restriction expression of the X-band detection evaluation coefficient). ), the reflectivity factor coincidence ratio is expressed by the ratio operation of the initial reflectivity factor and the preset reflectivity factor threshold obtained from the database. The reflectivity factor coincidence ratio is used to reflect the echo reflection coincidence of the X-band radar in the preset monitoring area; A6, combines the frequency shift coincidence ratio, radial velocity coincidence ratio and reflectivity factor coincidence ratio to obtain the X-band detection evaluation coefficient.

[0037] Among them, the limiting expression of the X-band detection evaluation coefficient is as follows:

[0038] ;

[0039] ;

[0040] ;

[0041] ;

[0042] Where XBD represents the X-band detection evaluation coefficient of the X-band radar, n represents the time variable, , Indicates the monitoring start time point, Indicates monitoring the current time point. represents the frequency shift coincidence ratio of the X-band radar at time n, represents the radial velocity coincidence ratio of the X-band radar at time n, It represents the reflectivity factor coincidence ratio of the X-band radar at time n, represents the X-band radar frequency of the X-band radar at time n, represents the radial velocity of the tornado at time n by the X-band radar, represents the X-band radar echo intensity at time n, represents the speed of light, represents the precipitation particle constant, Indicates the preset frequency shift threshold, Indicates the preset radial velocity threshold, The reflectivity factor threshold is preset, and e represents a natural constant.

[0043] In this embodiment, the aforementioned database is a database for storing various types of setting data established before the design of the data analysis method for X, C multi-band radar provided in the embodiment of the present application. The database includes but is not limited to particle radial velocity, echo power, propagation loss, etc., and various values therein are directly set by technical personnel. For example, the preset frequency shift threshold is represented by the average value of the radar frequency shift in the historical time period in the database, the preset radial velocity threshold is represented by the average value of the radial velocity of tornado particles in the historical time period in the database, the preset reflectivity factor threshold is represented by the average value of the radar reflectivity factor in the historical time period in the database, the precipitation particle constant is represented by the average value of the tornado particle constant in the historical time period in the database, and the speed of light is generally taken as (m / s).

[0044] It should be understood that the algorithm in this embodiment combines X-band monitoring data with comprehensive analysis to derive the X-band detection evaluation coefficient. The X-band monitoring data in this embodiment's algorithm are not independent but rather interdependent. As a tornado moves over the ground, its radial velocity changes, which in turn changes the frequency of the reflected radar signal. Higher radar frequencies yield higher resolution. Because radar echo intensity is dependent on factors such as the target (tornado)'s distance, shape, and size, as well as the electromagnetic wave scattering characteristics, changes in the tornado's radial velocity directly affect the intensity and distribution of the echo signal received by the radar. As a tornado approaches the radar, the echo intensity may increase because the distance between the target and the radar decreases, allowing more electromagnetic waves to be reflected. Therefore, the parameters in this embodiment's algorithm must be considered together to influence the results.

[0045] Specifically, assuming the tornado moves at a radial velocity The range is 15-70 (m / s), and the radial velocity threshold is preset Fixed to 50 (m / s), such as Figure 3 As shown in FIG. 1 , the radial velocity coincidence ratio provided in this embodiment is a statistical diagram of changes, which is obtained by Figure 3 It can be seen that as the tornado moves radial velocity The radial velocity coincidence ratio and the frequency shift coincidence ratio gradually increase, which leads to the gradual increase of the X-band detection evaluation coefficient, which means that the radial velocity coincidence degree gradually improves, and the X-band radar can accurately quantify the refined coincidence of tornado detection in the preset monitoring area, thereby improving the accuracy of tornado detection analysis based on radar data.

[0046] Furthermore, the specific process of determining whether to perform X-band adjustment based on the X-band detection evaluation coefficient is as follows: Step 1: Determine whether the X-band detection evaluation coefficient is not lower than a preset refinement threshold obtained from a database. When the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, it indicates that the refinement level of the X-band radar is qualified and no X-band adjustment is performed. Otherwise, Step 2 is executed. Step 2: Send a prompt to a preset personnel to adjust the pulse width of the X-band radar step by step by a preset multiple. When the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, it indicates that the refinement level of the X-band radar is qualified and the X-band adjustment is stopped. Otherwise, Step 3 is executed. Step 3: Send a prompt to a preset personnel to adjust the pulse signal transmission frequency of the X-band radar step by step by a preset multiple. When the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, it indicates that the refinement level of the X-band radar is qualified and the X-band adjustment is stopped. Otherwise, an alarm prompt is sent to the preset personnel.

[0047] In this embodiment, the preset refinement threshold is represented by the average value of the X-band detection evaluation coefficients for the historical time period in the database. The preset multiple is generally 1, 2, 3, etc., and the pulse width of the X-band radar is gradually reduced by the preset multiple until it reaches the preset minimum pulse width value. The smaller the pulse width of the X-band radar, the larger the bandwidth, and the smaller the distance difference that can be resolved. The preset minimum pulse width is represented by the minimum value of the X-band radar pulse width for the historical time period in the database. The pulse signal transmission frequency of the X-band radar is gradually increased by the preset multiple. Increasing the transmission frequency means that the radar can transmit more pulse signals in the same time, thereby improving the radar's measurement resolution. This improves the accuracy of tornado detection analysis based on radar data.

[0048] Furthermore, the specific process of obtaining the C-band detection evaluation coefficient based on the X-band adjusted X-band detection evaluation coefficient and the C-band monitoring data is as follows: B1, combining the C-band radar transmission power, antenna gain, mobile particle C-band radar scattering cross section and the first distance to obtain the initial echo power (i.e., the C-band detection evaluation coefficient in the restricted expression) ), the initial echo power is used to reflect the recognition of tornadoes by the C-band radar in the preset monitoring area; B2, obtain the echo power coincidence ratio (i.e., the value in the restricted expression of the C-band detection evaluation coefficient). ), the echo power coincidence ratio is represented by the result of a ratio calculation between the initial echo power and a preset radar echo power threshold value obtained from the database. The echo power coincidence ratio is used to reflect the consistency of the C-band radar's identification of tornadoes within the preset monitoring area; B3, a C-band detection evaluation coefficient is obtained by combining the echo power coincidence ratio, the preset first detection allocation weight, the preset second detection allocation weight, and the X-band detection evaluation coefficient of the X-band radar after X-band adjustment; the preset first detection allocation weight is used to evaluate the influence of the C-band radar's echo power coincidence ratio on the C-band detection evaluation coefficient; the preset second detection allocation weight is used to evaluate the influence of the X-band detection evaluation coefficient on the C-band detection evaluation coefficient.

[0049] The restricted expression of the C-band detection evaluation coefficient is as follows:

[0050] ;

[0051] ;

[0052] Where, represents the C-band detection evaluation coefficient of the C-band radar, n represents the time variable, , Indicates the monitoring start time point, Indicates monitoring the current time point. It represents the echo power coincidence ratio of the C-band radar at time n, It represents the X-band detection evaluation coefficient of the X-band radar after X-band adjustment. represents the C-band radar transmission power at time n, represents the antenna gain of the C-band radar at time n, represents the C-band radar cross section of a moving particle at time n, represents the first distance of the C-band radar at time n, Indicates the preset radar echo power threshold. Indicates the preset first detection allocation weight, represents the preset second detection allocation weight, and e represents a natural constant.

[0053] In this embodiment, the preset radar echo power threshold is represented by the average value of the radar echo power in the historical time period in the database; the sum of the preset first detection allocation weight and the preset second detection allocation weight is 1, for example, the preset first detection allocation weight is 0.5, and the preset second detection allocation weight is 0.5.

[0054] The preset first detection allocation weight is the weight corresponding to the radar echo power value preset in the database, indicating the degree of influence of the radar echo power value on the C-band detection evaluation coefficient. The weight corresponding to the preset radar echo power value can be directly obtained from the database during use. The corresponding relationship can be a pre-set mapping relationship. For example, the radar echo power in the tornado monitoring training set and the weight corresponding to the radar echo power value preset in the database form a mapping set. The real-time radar echo power is input into the mapping set to obtain the corresponding weight. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, the value range is [0, 1].

[0055] It should be understood that the algorithm of this embodiment combines C-band monitoring data and X-band detection evaluation coefficients for comprehensive analysis to obtain the C-band detection evaluation coefficient. In the algorithm of this embodiment, the C-band monitoring data and the X-band detection evaluation coefficient do not exist independently, but are interrelated. The transmit power and antenna gain of the C-band radar may directly affect its ability to detect tornadoes, thereby affecting the X-band detection evaluation coefficient. When the transmit power and antenna gain of the C-band radar are higher, its detection capability is stronger and it can detect farther distances. This helps to improve the X-band detection evaluation coefficient, because a stronger C-band signal may mean more accurate detection results. A larger scattering cross section means a stronger reflected signal, which helps the C-band radar detect targets more accurately. The parameters of the algorithm of this embodiment need to be considered together and their impact on the results.

[0056] Specifically, assuming that the echo power meets the ratio The range is 0.5-1, the X-band detection evaluation coefficient of the X-band radar after X-band adjustment The range is 0.5-1, and the monitoring start time point Fixed to 1, monitoring the current time point The value is fixed to 50, the first detection allocation weight is preset to 0.5, and the second detection allocation weight is preset to 0.5. As shown in Table 1, a statistical table of changes in the C-band detection evaluation coefficient provided in an embodiment of the present application is shown:

[0057] Table 1 Statistics of changes in C-band detection evaluation coefficients

[0058]

[0059] From the table above, we can see that as the echo power meets the ratio and the X-band detection evaluation coefficient of the X-band radar after X-band adjustment The C-band detection evaluation coefficient It also gradually increases, which means that the compliance of the C-band radar's ability to detect tornadoes in the preset monitoring area is gradually improved, realizing the accurate quantification of the compliance of the C-band radar's ability to detect tornadoes in the preset monitoring area, and thus realizing the improvement of the accuracy of tornado detection analysis based on radar data.

[0060] Furthermore, the specific process of determining whether to perform C-band adjustment based on the C-band detection evaluation coefficient is as follows: Step 1, determining whether the C-band detection evaluation coefficient is not lower than a preset detection capability threshold obtained from a database. When the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, it indicates that the detection capability of the C-band radar is qualified and no C-band adjustment is performed. Otherwise, step 2 is executed; Step 2, performing signal processing. When the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, it indicates that the detection capability of the C-band radar is qualified and the C-band adjustment is stopped. Otherwise, step 3 is executed. Signal processing indicates that the anti-interference capability of the C-band radar signal is improved through a signal processing algorithm; Step 3, sending a prompt to the preset personnel to adjust the deployment angle of the C-band radar at a preset angle. When the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, it indicates that the detection capability of the C-band radar is qualified and the C-band adjustment is stopped. Otherwise, an alarm prompt is sent to the preset personnel.

[0061] In this embodiment, the signal processing algorithm includes adaptive filtering, constant false alarm processing, etc. This embodiment improves the anti-interference capability of the C-band radar signal through adaptive filtering. Adaptive filtering is a signal processing technology that can automatically adjust filter parameters to minimize the error between the radar input signal and the expected output signal. The deployment angle of the C-band radar is gradually increased by a preset angle until it reaches a preset maximum deployment angle of the C-band radar. The preset maximum deployment angle of the C-band radar is represented by the maximum value of the C-band radar deployment angle in a historical time period in a database. This improves the accuracy of tornado detection analysis based on radar data.

[0062] Furthermore, the specific process of obtaining the micro-pressure evaluation coefficient based on the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data is as follows: C1, combining the second distance and the X-band radar wavelength to obtain the initial X-band loss (i.e., the micro-pressure evaluation coefficient in the restriction expression) ), the initial X-band loss is used to reflect the propagation loss of the X-band radar; C2, obtains the X-band loss compliance ratio (i.e., the limit expression of the micro-pressure evaluation coefficient ), the X-band loss compliance ratio is expressed by the difference between the initial X-band loss and the preset X-band propagation loss threshold obtained from the database. The X-band loss compliance ratio is used to reflect the propagation loss compliance of the X-band radar; C3, the initial C-band loss is obtained by combining the third distance and the wavelength of the C-band radar (i.e., the value in the limiting expression of the micro-pressure evaluation coefficient). ), the initial C-band loss is used to reflect the propagation loss of the C-band radar; C4, obtains the C-band loss compliance ratio (i.e., the limit expression of the micro-pressure evaluation coefficient ), the C-band loss compliance ratio is expressed by the difference between the initial C-band loss and the preset C-band propagation loss threshold obtained from the database. The C-band loss compliance ratio is used to reflect the propagation loss compliance of the C-band radar; C5, obtains the micro-pressure change compliance ratio (i.e., the micro-pressure evaluation coefficient in the restriction expression). ), the micro-pressure change compliance ratio is expressed by the ratio calculation result of the pressure change and the preset micro-pressure change threshold obtained from the database. The micro-pressure change compliance ratio is used to reflect the compliance of the micro-pressure change in the preset monitoring area; C6, the micro-pressure evaluation coefficient is obtained by combining the X-band loss compliance ratio, the C-band loss compliance ratio, the micro-pressure change compliance ratio and the X-band detection evaluation coefficient of the X-band radar after X-band adjustment.

[0063] Among them, the limiting expression of the micro-pressure evaluation coefficient is as follows:

[0064] ;

[0065] ;

[0066] ;

[0067] ;

[0068] Where, represents the micro-pressure evaluation coefficient of the micro-manometer, n represents the time variable, , Indicates the monitoring start time point, Indicates monitoring the current time point. represents the X-band loss coincidence ratio of the micromanometer at time n, represents the C-band loss coincidence ratio of the micromanometer at time n, It represents the micro-pressure change ratio of the micromanometer at time n, It represents the X-band detection evaluation coefficient of the X-band radar after X-band adjustment. represents the second distance of the micromanometer at time n, represents the third distance of the micromanometer at time n, represents the wavelength of the X-band radar at time n, represents the wavelength of the C-band radar at time n, represents the pressure change of the micromanometer at time n, Indicates the preset X-band propagation loss threshold, Indicates the preset C-band propagation loss threshold, represents the preset micro-pressure change threshold, and e represents a natural constant.

[0069] Specifically, the specific process of determining whether to perform a severe convection prediction based on the micro-pressure assessment coefficient is as follows: determine whether the micro-pressure assessment coefficient is not lower than the preset micro-pressure threshold obtained from the database. When the micro-pressure assessment coefficient is not lower than the preset micro-pressure threshold obtained from the database, a severe convection prediction is performed; when the micro-pressure assessment coefficient is lower than the preset micro-pressure change threshold obtained from the database, the X-band radar is in the default observation mode.

[0070] In this embodiment, the preset X-band propagation loss threshold is represented by the average value of the X-band radar propagation loss in the historical time period in the database, the preset C-band propagation loss threshold is represented by the average value of the C-band radar propagation loss in the historical time period in the database, the preset micro-pressure change threshold is represented by the average value of the pressure change measured by the micromanometer in the historical time period in the database, and the preset micro-pressure threshold is represented by the average value of the micro-pressure evaluation coefficient in the historical time period in the database.

[0071] It should be understood that the algorithm of this embodiment combines the micro-pressure detection data and the C-band detection evaluation coefficient for comprehensive analysis to obtain the micro-pressure evaluation coefficient. The micro-pressure detection data and the C-band detection evaluation coefficient in the algorithm of this embodiment do not exist independently, but are interrelated. The pressure change in the micro-pressure detection data directly reflects the micro-pressure dynamics in the monitoring area. When the pressure change is higher, it may mean that the ability to detect tornadoes is stronger. The longer the wavelength, the stronger the penetration ability may be. The shorter the wavelength, the higher the resolution may be, but the penetration ability may be limited. The synergy between the micro-pressure detection data and the C-band detection evaluation coefficient can enhance the overall detection capability. The parameters of the algorithm of this embodiment need to be considered together and at the same time to influence the results; the accurate quantification of the micro-pressure changes in the preset monitoring area is achieved, thereby achieving an improvement in the accuracy of the tornado detection analysis based on radar data.

[0072] Furthermore, the specific process of severe convection prediction is as follows: the C-band radar triggers a coordinated command, which is used to mobilize the X-band radar for coordinated scanning; the cross-area echo and radar data three-dimensional grid field are obtained through a synchronous acquisition algorithm; the scanning azimuth angle range is obtained, the band radar is mobilized to perform fixed-point synchronous fan-scan tracking and analysis, and the lookout camera is mobilized to track the target in real time. The scanning azimuth angle range is used to lock the target area.

[0073] like Figure 4 The radar detection network provided by the present embodiment is shown in Figure 1. The C-band radar is primarily used for alerting. Once a strong weather echo is detected and a suspicious target is identified, a coordinated command is immediately triggered, mobilizing the X-band radar for collaborative scanning. Using a synchronized acquisition algorithm, echoes from the intersecting area are acquired, resulting in a 3D grid of radar data with an optimal resolution of 30m×30m×31.25m at an altitude of 8km. The scanning azimuth range is calculated based on the size, location, and intensity of each target area (tornado area). The target area is locked, and a precise analysis command is triggered. The policy server interprets the command and mobilizes the most appropriate X-band radar for fixed-point synchronous sector scanning tracking and analysis, acquiring 3D information. Simultaneously, a surveillance camera is mobilized for real-time tracking of the target (tornado). If multiple suspicious targets are detected simultaneously, scanning is prioritized and time-sharing is performed based on the target area's weight coefficient. This improves the accuracy of tornado detection analysis based on radar data.

[0074] In summary, the embodiment of the present application obtains the X-band detection evaluation coefficient through X-band monitoring data and determines whether to perform X-band adjustment, then obtains the C-band detection evaluation coefficient based on the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data and determines whether to perform C-band adjustment, and finally obtains the micro-pressure evaluation coefficient based on the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data and determines whether to perform severe convection prediction, thereby achieving an improvement in the reliability of tornado prediction, and further achieving an improvement in the accuracy of tornado detection analysis based on radar data, effectively solving the problem of low accuracy of tornado detection analysis based on radar data in the prior art.

[0075] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0076] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0077] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0078] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0079] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0080] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A data analysis method for X, C multi-band radar, characterized in that: The following steps are involved: S1, obtains X-band monitoring data, C-band monitoring data and micro-pressure detection data according to the deployed preset tornado monitoring network; S2, obtaining an X-band detection evaluation coefficient based on the X-band monitoring data, and determining whether to perform an X-band adjustment based on the X-band detection evaluation coefficient, wherein the X-band detection evaluation coefficient is used to evaluate the accuracy of the X-band radar in detecting tornadoes within a preset monitoring area; S3, obtaining a C-band detection evaluation coefficient based on the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data, and determining whether to perform C-band adjustment based on the C-band detection evaluation coefficient, wherein the C-band detection evaluation coefficient is used to evaluate the compliance of the C-band radar's ability to detect tornadoes within a preset monitoring area; S4, obtaining a micro-pressure assessment coefficient based on the C-band detection assessment coefficient after the C-band adjustment and the micro-pressure detection data, and determining whether to perform a severe convection prediction based on the micro-pressure assessment coefficient, wherein the micro-pressure assessment coefficient is used to evaluate the compliance of micro-pressure changes in a preset monitoring area; The specific process of determining whether to perform severe convection prediction based on the micro-pressure evaluation coefficient is as follows: Determine whether the micro-pressure evaluation coefficient is not lower than a preset micro-pressure threshold obtained from the database, and when the micro-pressure evaluation coefficient is not lower than the preset micro-pressure threshold obtained from the database, perform a severe convection prediction; When the micro-pressure evaluation coefficient is lower than the preset micro-pressure change threshold obtained from the database, the X-band radar is in the default observation mode; The specific process of performing severe convection prediction is as follows: A C-band radar triggering coordination command is used to activate an X-band radar coordinated scan; Acquire the cross-region echo and radar data three-dimensional grid field through synchronous acquisition algorithm; The scanning azimuth angle range is obtained, the band radar is mobilized to perform fixed-point synchronous sector scanning tracking and analysis, and the observation camera is mobilized to track the target in real time. The scanning azimuth angle range is used to lock the target area.

2. The data analysis method for X, C multi-band radar according to claim 1, characterized in that: The X-band monitoring data includes X-band radar frequency, tornado radial velocity and X-band radar echo intensity; The tornado radial velocity represents the radial motion velocity of the tornado relative to the X-band radar within the preset monitoring area; The C-band monitoring data includes C-band radar transmission power, antenna gain, mobile particle C-band radar scattering cross section and first distance; The first distance represents the distance between the tornado particles and the C-band radar in the preset monitoring area; The micro-pressure detection data includes pressure variation, second distance, third distance, X-band radar wavelength and C-band radar wavelength; The second distance represents the distance between the X-band radar and the microwave meter within the preset monitoring area; The third distance represents the distance between the C-band radar and the microwave meter within the preset monitoring area.

3. The data analysis method for X, C multi-band radar according to claim 2, characterized in that: The specific process of obtaining the X-band detection evaluation coefficient based on the X-band monitoring data is as follows: A1, combining the tornado radial velocity, X-band radar frequency and light speed obtained from the database to obtain the initial frequency shift; A2, obtaining a frequency shift coincidence ratio, where the frequency shift coincidence ratio is represented by a result of a ratio calculation between the initial frequency shift and a preset frequency shift threshold obtained from a database; A3, obtaining a radial velocity coincidence ratio, wherein the radial velocity coincidence ratio is represented by a ratio calculation result of the tornado moving radial velocity and a preset radial velocity threshold value obtained from a database; A4, combining the X-band radar echo intensity and the precipitation particle constant to obtain an initial reflectivity factor, wherein the initial reflectivity factor is used to reflect the X-band radar echo reflection condition within the preset monitoring area; A5, obtaining a reflectivity factor coincidence ratio, wherein the reflectivity factor coincidence ratio is used to reflect the echo reflection coincidence of the X-band radar in a preset monitoring area; A6, combines the frequency shift coincidence ratio, radial velocity coincidence ratio, and reflectivity factor coincidence ratio to obtain the X-band detection evaluation coefficient.

4. The data analysis method for X, C multi-band radar according to claim 3, characterized in that: The limiting expression of the X-band detection evaluation coefficient is as follows: ； ； ； ； Where XBD represents the X-band detection evaluation coefficient of the X-band radar, n represents the time variable, , Indicates the monitoring start time point, Indicates monitoring the current time point. represents the frequency shift coincidence ratio of the X-band radar at time n, represents the radial velocity coincidence ratio of the X-band radar at time n, It represents the reflectivity factor coincidence ratio of the X-band radar at time n, represents the X-band radar frequency of the X-band radar at time n, represents the radial velocity of the tornado at time n by the X-band radar, represents the X-band radar echo intensity at time n, represents the speed of light, represents the precipitation particle constant, Indicates the preset frequency shift threshold, Indicates the preset radial velocity threshold, Preset reflectivity factor threshold.

5. The data analysis method for X, C multi-band radar according to claim 2, characterized in that: The specific process of determining whether to perform X-band adjustment based on the X-band detection evaluation coefficient is as follows: The first step is to determine whether the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database. If the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, no X-band adjustment is performed. Otherwise, the second step is executed. The second step is to send a prompt to the preset personnel to gradually adjust the pulse width of the X-band radar by a preset multiple. When the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, the X-band adjustment is stopped. Otherwise, the third step is executed. The third step is to send a prompt to the preset personnel to adjust the pulse signal transmission frequency of the X-band radar step by step with a preset multiple. When the X-band detection evaluation coefficient is not lower than the preset refinement threshold obtained from the database, the X-band adjustment is stopped. Otherwise, an alarm prompt is sent to the preset personnel.

6. The data analysis method for X, C multi-band radar according to claim 2, characterized in that: The specific process of obtaining the C-band detection evaluation coefficient based on the X-band detection evaluation coefficient after the X-band adjustment and the C-band monitoring data is as follows: B1, combining the C-band radar transmit power, antenna gain, mobile particle C-band radar cross section, and the first distance to obtain an initial echo power, wherein the initial echo power is used to reflect the C-band radar's recognition of a tornado within a preset monitoring area; B2, obtaining an echo power coincidence ratio, which is represented by a ratio calculation result of the initial echo power and a preset radar echo power threshold obtained from a database. The echo power coincidence ratio is used to reflect the consistency of the C-band radar's identification of a tornado within a preset monitoring area; B3, obtaining a C-band detection evaluation coefficient by combining the echo power coincidence ratio, the preset first detection allocation weight, the preset second detection allocation weight, and the X-band detection evaluation coefficient of the X-band radar after the X-band adjustment.

7. The data analysis method for X, C multi-band radar according to claim 6, characterized in that: The specific process of determining whether to perform C-band adjustment based on the C-band detection evaluation coefficient is as follows: Step 1: Determine whether the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database. If the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, no C-band adjustment is performed; otherwise, step 2 is executed. Step 2: Perform signal processing. If the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, stop the C-band adjustment. Otherwise, proceed to step 3. Step 3: Send a prompt to the preset personnel to adjust the deployment angle of the C-band radar at a preset angle. When the C-band detection evaluation coefficient is not lower than the preset detection capability threshold obtained from the database, the C-band adjustment is stopped. Otherwise, an alarm prompt is sent to the preset personnel.

8. The data analysis method for X, C multi-band radar according to claim 2, characterized in that: The specific process of obtaining the micro-pressure evaluation coefficient based on the C-band detection evaluation coefficient after the C-band adjustment and the micro-pressure detection data is as follows: C1, combining the second distance and the wavelength of the X-band radar to obtain an initial X-band loss, where the initial X-band loss is used to reflect the propagation loss of the X-band radar; C2, obtaining an X-band loss compliance ratio, wherein the X-band loss compliance ratio is represented by a difference calculation result between the initial X-band loss and a preset X-band propagation loss threshold obtained from a database, and the X-band loss compliance ratio is used to reflect the propagation loss compliance of the X-band radar; C3, combining the third distance and the wavelength of the C-band radar to obtain an initial C-band loss, where the initial C-band loss is used to reflect the propagation loss of the C-band radar; C4, obtaining a C-band loss compliance ratio, wherein the C-band loss compliance ratio is represented by a difference calculation result between the initial C-band loss and a preset C-band propagation loss threshold obtained from a database. The C-band loss compliance ratio is used to reflect the propagation loss compliance of the C-band radar; C5, obtaining a micro-pressure change compliance ratio, which is represented by a ratio calculation result of the pressure change and a preset micro-pressure change threshold obtained from a database. The micro-pressure change compliance ratio is used to reflect the compliance of the micro-pressure change in the preset monitoring area; C6 obtains a micro-pressure evaluation coefficient by combining the X-band loss coincidence ratio, the C-band loss coincidence ratio, the micro-pressure change coincidence ratio, and the X-band detection evaluation coefficient of the X-band radar after X-band adjustment.

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