Millimeter wave radar weather detection method, system, equipment and medium

Abstract

The invention provides a millimeter-wave radar weather detection method, system and device and a medium, and the method comprises the steps: carrying out the scanning and detection of a micro-physical process in the atmosphere through a millimeter-wave radar system, and obtaining radar echo data; the radar echo data are preprocessed; analyzing the preprocessed radar echo data according to a preset inversion algorithm to obtain characteristic parameters of weather phenomena; generating a corresponding weather product according to the extracted weather characteristic parameters; and according to the weather product, carrying out vehicle machine visual reminding according to a preset meteorological model. By analyzing the radar echo data according to the preset inversion algorithm, different weather phenomena can be monitored and recognized in real time, weather changes can be found and early warned in time, the cognition and coping ability of a driver to weather conditions is improved, accurate weather information is provided for users, and the users are helped to make better decisions.

Description

Technical Field

[0001] The present invention relates to the field of weather detection technology, and in particular to a millimeter wave radar weather detection method, system, equipment and medium. Background Art

[0002] Millimeter wave radar is a radar system that uses electromagnetic waves in the millimeter wave frequency band for detection and measurement. The millimeter wave band generally refers to electromagnetic waves with a frequency between 30GHz and 300GHz. Compared with traditional radar systems, millimeter wave radar has the characteristics of high resolution, versatility, transparency, high precision, and non-contact. Therefore, millimeter wave radar has a wide range of applications in the field of meteorology. In the existing vehicle-mounted millimeter wave radar system, a millimeter wave radar weather detection method is proposed. By obtaining global observation information of the surrounding environment, the characteristic information of the surrounding environment is determined; and then the weather state is determined. The weather state can be accurately determined, and the working performance of the sensor system in abnormal weather such as rain and snow can be improved. However, this method relies on the installation of a mobile platform to achieve global observation, and it is impossible to perform weather detection only through millimeter wave radar. Moreover, all data are only obtained through FFT spectra. When the data source is distorted, erroneous results may be produced, and the data is not analyzed from multiple angles and aspects. Summary of the invention

[0003] In view of the above-mentioned shortcomings of the prior art, the present invention provides a millimeter wave radar weather detection method, system, device and medium to solve the above-mentioned technical problems.

[0004] The present invention provides a millimeter wave radar weather detection method, comprising:

[0005] Scan and detect microphysical processes in the atmosphere through a millimeter-wave radar system to obtain radar echo data;

[0006] Preprocessing the radar echo data;

[0007] Analyze the preprocessed radar echo data according to the preset inversion algorithm to obtain the characteristic parameters of the weather phenomenon;

[0008] Generate corresponding weather products based on the extracted weather characteristic parameters;

[0009] The weather product provides visual reminders on the vehicle computer according to the preset weather model.

[0010] In the present invention, the radar echo data includes:

[0011] Polarization data, where the polarization data represents the polarization characteristics of the echo signal and is used to analyze the scattering of the target object in different polarization directions;

[0012] Intensity data, where the intensity data represents the intensity of the echo signal and is used to reflect the degree of reflection of the millimeter wave signal by the target object;

[0013] Phase data, wherein the phase data represents phase information of the echo signal and is used to measure the distance or speed between the target object and the radar;

[0014] In the present invention, the preprocessing includes filtering, noise reduction and data correction.

[0015] In the present invention, the pre-processed radar echo data is analyzed according to a preset inversion algorithm to obtain characteristic parameters of the weather phenomenon, specifically including:

[0016] Analyzing the polarization data according to the inversion algorithm to obtain the current weather conditions;

[0017] Analyzing the phase data according to the inversion algorithm to obtain the wind speed and direction under the current weather conditions;

[0018] When the current weather condition is rain, the intensity data is analyzed according to the inversion algorithm to obtain the intensity and distribution of precipitation.

[0019] In the present invention, the polarization data is analyzed according to the inversion algorithm to obtain the current weather conditions, which specifically includes:

[0020] Acquire polarization parameter data according to the polarization data, wherein the polarization parameter data includes intensity, phase, and polarization ratio of horizontal polarization and vertical polarization;

[0021] Acquiring polarization characteristics according to the polarization parameter data, wherein the polarization characteristics include polarizability, linear polarization ratio, phase difference and polarization reflectivity;

[0022] The current weather conditions are obtained according to the polarization characteristics and the inversion algorithm.

[0023] In the present invention, the phase data is analyzed according to the inversion algorithm to obtain the wind speed and direction under the current weather conditions, specifically including:

[0024] Calculating phase differences at different positions or time points according to the phase data;

[0025] According to the known radar parameters and antenna scanning mode, phase demodulation is performed to convert the phase difference into wind field speed;

[0026] The wind speed information obtained by phase demodulation is combined with the radar scanning angle, radar position and observation distance parameters to calculate the wind field speed at the height of the car;

[0027] According to the relationship between wind field speed and phase difference, the wind direction is obtained by trigonometric calculation.

[0028] In the present invention, the intensity data is analyzed according to the inversion algorithm to obtain the intensity and distribution of precipitation, which specifically includes:

[0029] According to the intensity data, obtaining the reflectivity of the radar signal;

[0030] An empirical relationship model between reflectivity and precipitation is established through historical data, and the intensity data is converted into precipitation intensity;

[0031] The precipitation intensity at the location of the vehicle is calculated based on the empirical relationship model and the intensity data, and at the same time, the intensity values ​​of the discrete radar observation points are interpolated to the entire radar observation area by a spatial interpolation method;

[0032] According to the preset precipitation intensity threshold, the area is divided into different precipitation types and intensity levels.

[0033] The present invention also provides a millimeter wave radar weather detection system, comprising:

[0034] Data acquisition module: Scans and detects microphysical processes in the atmosphere through the millimeter-wave radar system to obtain radar echo data;

[0035] Preprocessing module: preprocessing the radar echo data;

[0036] Inversion analysis module: Analyze the pre-processed radar echo data according to the preset inversion algorithm to obtain the characteristic parameters of the weather phenomenon;

[0037] Product generation module: Generate corresponding weather products based on the extracted weather characteristic parameters;

[0038] Visualization module: Provide visual reminders to the vehicle computer according to the preset weather model based on the weather product.

[0039] The present invention further provides an electronic device, comprising:

[0040] one or more processors;

[0041] A storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the electronic device implements a millimeter wave radar weather detection method as described in any one of the above items.

[0042] The present invention also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor of a computer, the computer is enabled to execute a millimeter-wave radar weather detection method as described in any one of the above items.

[0043] The present invention provides a millimeter wave radar weather detection method, system, device and medium. The method uses a millimeter wave radar system to scan and detect microphysical processes in the atmosphere to obtain radar echo data; preprocess the radar echo data; analyze the preprocessed radar echo data according to a preset inversion algorithm to obtain characteristic parameters of weather phenomena; generate corresponding weather products according to the extracted weather characteristic parameters; and perform vehicle computer visual reminders according to the weather products and a preset meteorological model. The beneficial effects produced include:

[0044] 1. The millimeter-wave radar system scans and detects microphysical processes in the atmosphere, obtains radar echo data, and analyzes the data according to the preset inversion algorithm. It can monitor and identify different weather phenomena in real time, such as rainfall, snowfall, haze, etc., which helps to timely discover and warn of weather changes and improve the driver's understanding and response capabilities to weather conditions.

[0045] 2. By analyzing the pre-processed radar echo data, characteristic parameters of weather phenomena can be extracted, such as precipitation intensity, precipitation distribution, wind speed and direction, etc. These characteristic parameters can be used to generate corresponding weather products, providing users with accurate weather information and helping them make better decisions.

[0046] 3. Based on the generated weather products and preset meteorological models, the weather information is presented to the driver in a visual manner on the vehicle computer, so that the driver can intuitively understand the current weather conditions and improve driving safety and driving experience.

[0047] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0049] Figure 1 A flow chart of a millimeter wave radar weather detection method shown as an exemplary embodiment of the present invention;

[0050] Figure 2 A flowchart of an analysis process in a millimeter wave radar weather detection method according to an exemplary embodiment of the present invention;

[0051] Figure 3 A flowchart of a data structure in a millimeter wave radar weather detection method according to an exemplary embodiment of the present invention;

[0052] Figure 4 A schematic diagram of the structure of a millimeter wave radar weather detection system is shown as an exemplary embodiment of the present invention;

[0053] Figure 5 The present invention is a schematic diagram of a computer system of an electronic device according to an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0054] The following will describe the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the scope of protection of the present invention.

[0055] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0056] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0057] First of all, it should be noted that millimeter wave radar is a radar system that uses electromagnetic waves in the millimeter wave frequency band for detection and measurement. The millimeter wave band generally refers to electromagnetic waves with a frequency between 30GHz and 300GHz. Compared with traditional radar systems, millimeter wave radar has the characteristics of high resolution, versatility, transparency, high precision, and non-contact. Therefore, millimeter wave radar has a wide range of applications in the field of meteorology.

[0058] Figure 1 A flow chart of a millimeter wave radar weather detection method shown as an exemplary embodiment of the present invention;

[0059] like Figure 1As shown, the present invention provides a millimeter wave radar weather detection method, comprising:

[0060] Step S110: scanning and detecting microphysical processes in the atmosphere through a millimeter wave radar system to obtain radar echo data;

[0061] Step S120: preprocessing the radar echo data;

[0062] Step S130: analyzing the preprocessed radar echo data according to a preset inversion algorithm to obtain characteristic parameters of the weather phenomenon;

[0063] Step S140: generating corresponding weather products according to the extracted weather characteristic parameters;

[0064] Step S150: Perform visual reminder on the vehicle computer according to the preset meteorological model based on the weather product.

[0065] In an exemplary embodiment, the radar echo data includes:

[0066] Polarization data, where the polarization data represents the polarization characteristics of the echo signal and is used to analyze the scattering of the target object in different polarization directions;

[0067] Intensity data, where the intensity data represents the intensity of the echo signal and is used to reflect the degree of reflection of the millimeter wave signal by the target object;

[0068] Phase data, which represents the phase information of the echo signal and is used to measure the distance or speed between the target object and the radar.

[0069] In an exemplary embodiment, the preprocessing includes filtering, noise reduction and data correction.

[0070] Figure 2 A flowchart of an analysis process in a millimeter wave radar weather detection method according to an exemplary embodiment of the present invention;

[0071] like Figure 2 As shown, a millimeter wave radar weather detection method provided by the present invention analyzes the preprocessed radar echo data according to a preset inversion algorithm to obtain characteristic parameters of the weather phenomenon, specifically including:

[0072] Step 210: Analyze the polarization data according to the inversion algorithm to obtain the current weather conditions;

[0073] Step 220: Analyze the phase data according to the inversion algorithm to obtain the wind speed and direction under the current weather conditions;

[0074] Step 230: When the current weather condition is rain, the intensity data is analyzed according to the inversion algorithm to obtain the intensity and distribution of precipitation.

[0075] Figure 3 A flowchart of a data structure in a millimeter wave radar weather detection method according to an exemplary embodiment of the present invention;

[0076] like Figure 3 As shown, the radar echo data includes polarization data, intensity data and phase data. According to the corresponding inversion algorithm, the polarization data, intensity data and phase data are analyzed respectively to obtain the weather state, wind speed and direction and precipitation intensity and distribution.

[0077] Specifically, by analyzing the polarization data, we can determine the scattering of the target object in different polarization directions, and then infer the current weather conditions, such as precipitation type (rain, snow, hail, etc.), cloud structure, etc. It can accurately identify and describe the current weather phenomena and provide more accurate weather information.

[0078] By analyzing the phase data, the distance or speed between the target object and the radar can be measured. Using the changes in phase data, the radial speed and direction of the wind field can be calculated, thereby obtaining information on the motion state of the target object and atmospheric circulation.

[0079] By analyzing the intensity data, we can reflect the degree of reflection of the target object to the millimeter wave signal. According to the changes in the intensity data, we can estimate the intensity and distribution of precipitation.

[0080] By comprehensively utilizing polarization data, intensity data, and phase data and combining them with corresponding inversion algorithms for analysis, different weather parameters and features can be extracted, providing more accurate and detailed information for weather detection by vehicle-mounted millimeter-wave radar.

[0081] In an exemplary embodiment, analyzing the polarization data according to the inversion algorithm to obtain the current weather conditions specifically includes:

[0082] Acquire polarization parameter data according to the polarization data, wherein the polarization parameter data includes intensity, phase, and polarization ratio of horizontal polarization and vertical polarization;

[0083] Acquiring polarization characteristics according to the polarization parameter data, wherein the polarization characteristics include polarizability, linear polarization ratio, phase difference and polarization reflectivity;

[0084] The current weather conditions are obtained according to the polarization characteristics and the inversion algorithm.

[0085] Specifically, polarization parameter data is extracted from the polarization data. The polarization parameter data includes the intensity, phase, and polarization ratio of horizontal polarization and vertical polarization. These parameters describe the characteristics of the echo signal in different polarization directions.

[0086] Polarization characteristics are calculated based on polarization parameter data. Polarization characteristics include polarization rate, linear polarization ratio, phase difference, polarization reflectivity, etc. Polarization rate indicates the proportional relationship between horizontal and vertical polarization signals, linear polarization ratio indicates the directionality of polarization signals, phase difference indicates the phase difference in different polarization directions, and polarization reflectivity indicates the response of echo signals to polarization directions.

[0087] The obtained polarization characteristics and the preset inversion algorithm are used for analysis. The inversion algorithm is a mathematical model established based on the correlation between the known polarization characteristics and weather phenomena. By matching and comparing the polarization characteristics with the known weather conditions, the current weather conditions can be inferred.

[0088] According to the results of the inversion algorithm, the current weather conditions are determined. According to the analysis results of the polarization data, the current weather phenomena can be judged, such as precipitation type (rain, snow, hail, etc.), cloud structure, etc. It can accurately identify and describe the current weather conditions.

[0089] In an exemplary embodiment, analyzing the phase data according to the inversion algorithm to obtain the wind speed and direction under the current weather conditions specifically includes:

[0090] Calculating phase differences at different positions or time points according to the phase data;

[0091] According to the known radar parameters and antenna scanning mode, phase demodulation is performed to convert the phase difference into wind field speed;

[0092] The wind speed information obtained by phase demodulation is combined with the radar scanning angle, radar position and observation distance parameters to calculate the wind field speed at the height of the car;

[0093] According to the relationship between wind field speed and phase difference, the wind direction is obtained by trigonometric calculation.

[0094] Specifically, the phase difference at different positions or time points is calculated from the phase data. The phase difference refers to the phase change of the radar echo signal at different positions or time points.

[0095] According to the known radar parameters and antenna scanning mode, phase demodulation operation is performed. Phase demodulation is the process of converting phase difference into wind field speed. By decoding and demodulating the phase difference, the wind field speed information can be obtained.

[0096] The wind speed information obtained by phase demodulation is combined with the radar scanning angle, radar position and observation distance parameters to calculate the wind speed at the height of the car. The wind speed data at the vehicle's location is provided to help understand the current wind field conditions.

[0097] According to the relationship between wind field speed and phase difference, the wind direction is calculated by trigonometric function. There is a certain mathematical relationship between phase difference and wind field speed. Through appropriate calculation and conversion, the wind direction can be inferred.

[0098] Through the analysis of phase data and the application of phase demodulation, information on wind speed and direction under current weather conditions can be obtained. This helps vehicles monitor wind speed and direction in real time, provides accurate wind field information, and provides valuable data and reference for driving safety and meteorological research.

[0099] In an exemplary embodiment, analyzing the intensity data according to the inversion algorithm to obtain the intensity and distribution of precipitation specifically includes:

[0100] According to the intensity data, obtaining the reflectivity of the radar signal;

[0101] An empirical relationship model between reflectivity and precipitation is established through historical data, and the intensity data is converted into precipitation intensity;

[0102] The precipitation intensity at the location of the vehicle is calculated based on the empirical relationship model and the intensity data, and at the same time, the intensity values ​​of the discrete radar observation points are interpolated to the entire radar observation area by a spatial interpolation method;

[0103] According to the preset precipitation intensity threshold, the area is divided into different precipitation types and intensity levels.

[0104] Specifically, the reflectivity of the radar signal is calculated based on the intensity data. The reflectivity reflects the degree of reflection of the radar signal by the target object and can be used to indicate the existence and intensity of precipitation.

[0105] An empirical relationship model between reflectivity and precipitation is established through historical data. This model converts intensity data into precipitation intensity and estimates the corresponding precipitation according to different reflectivity values.

[0106] The precipitation intensity at the location of the vehicle is calculated based on the empirical relationship model and the intensity data. The measured reflectivity value is substituted into the empirical relationship model to calculate the corresponding precipitation intensity.

[0107] The intensity values ​​of discrete radar observation points are interpolated to the entire radar observation area through spatial interpolation. In this way, the intensity data of local observations can be generalized to the entire area, and a more comprehensive precipitation intensity distribution map can be obtained.

[0108] According to the preset precipitation intensity threshold, the area is divided into different precipitation types and intensity levels. According to the size of precipitation intensity, precipitation is divided into different levels, such as light rain, moderate rain, heavy rain, etc., in order to better describe the intensity of precipitation.

[0109] Through the analysis of intensity data and the application of empirical relationship models, the intensity and distribution information of precipitation can be obtained. This helps to accurately judge the intensity, regional scope and type of current precipitation, and provides an important reference for driving safety and weather detection.

[0110] Figure 4 A schematic diagram of the structure of a millimeter wave radar weather detection system is shown as an exemplary embodiment of the present invention;

[0111] like Figure 4 As shown, the exemplary millimeter wave radar weather detection system includes:

[0112] Data acquisition module: Scans and detects microphysical processes in the atmosphere through the millimeter-wave radar system to obtain radar echo data;

[0113] Preprocessing module: preprocessing the radar echo data;

[0114] Inversion analysis module: Analyze the pre-processed radar echo data according to the preset inversion algorithm to obtain the characteristic parameters of the weather phenomenon;

[0115] Product generation module: Generate corresponding weather products based on the extracted weather characteristic parameters;

[0116] Visualization module: Provide visual reminders to the vehicle computer according to the preset weather model based on the weather product.

[0117] It should be noted that the millimeter-wave radar weather detection system provided in the above embodiment and the millimeter-wave radar weather detection method provided in the above embodiment belong to the same concept, and the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment and will not be repeated here. In actual application, the millimeter-wave radar weather detection system provided in the above embodiment can distribute the above functions to different functional modules as needed, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0118] An embodiment of the present application also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, and when the one or more programs are executed by the one or more processors, the electronic device implements a millimeter wave radar weather detection method provided in the above-mentioned embodiments.

[0119] Figure 5 The structure diagram of the computer system suitable for implementing the electronic device of the embodiment of the present application is shown. It should be noted that: Figure 5 The computer system 500 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0120] like Figure 5 As shown, the computer system 500 includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage part 508 to the random access memory (RAM) 503, such as executing the method described in the above embodiment. In the RAM 503, various programs and data required for system operation are also stored. The CPU 501, the ROM 502 and the RAM 503 are connected to each other through the bus 504. The input / output (I / O) interface 505 is also connected to the bus 504.

[0121] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed so that a computer program read therefrom is installed into the storage section 508 as needed.

[0122] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 509, and / or installed from a removable medium 511. When the computer program is executed by a central processing unit (CPU) 501, various functions defined in the system of the present application are executed.

[0123] It should be noted that the computer-readable medium shown in the embodiment of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. This propagated data signal can take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. A computer program contained on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0124] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0125] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0126] Another aspect of the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a millimeter-wave radar weather detection method as described above. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist independently without being assembled into the electronic device.

[0127] Another aspect of the present application further provides a computer program product or a computer program, which includes a computer instruction stored in a computer-readable storage medium. A processor of a computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes a millimeter-wave radar weather detection method provided in each of the above embodiments.

[0128] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A millimeter wave radar weather detection method, characterized in that: include: Scan and detect microphysical processes in the atmosphere through a millimeter-wave radar system to obtain radar echo data; Preprocessing the radar echo data; Analyze the preprocessed radar echo data according to the preset inversion algorithm to obtain the characteristic parameters of the weather phenomenon; Generate corresponding weather products based on the extracted weather characteristic parameters; The weather product provides visual reminders on the vehicle computer according to the preset weather model.

2. A millimeter wave radar weather detection method according to claim 1, characterized in that: The radar echo data includes: Polarization data, where the polarization data represents the polarization characteristics of the echo signal and is used to analyze the scattering of the target object in different polarization directions; Intensity data, where the intensity data represents the intensity of the echo signal and is used to reflect the degree of reflection of the millimeter wave signal by the target object; Phase data, which represents the phase information of the echo signal and is used to measure the distance or speed between the target object and the radar.

3. A millimeter wave radar weather detection method according to claim 1, characterized in that: The preprocessing includes filtering, noise reduction and data correction.

4. A millimeter wave radar weather detection method according to claim 2, characterized in that: The pre-processed radar echo data is analyzed according to the preset inversion algorithm to obtain the characteristic parameters of the weather phenomenon, including: Analyzing the polarization data according to the inversion algorithm to obtain the current weather conditions; Analyzing the phase data according to the inversion algorithm to obtain the wind speed and direction under the current weather conditions; When the current weather condition is rain, the intensity data is analyzed according to the inversion algorithm to obtain the intensity and distribution of precipitation.

5. A millimeter wave radar weather detection method according to claim 4, characterized in that: The polarization data is analyzed according to the inversion algorithm to obtain the current weather conditions, specifically including: Acquire polarization parameter data according to the polarization data, wherein the polarization parameter data includes intensity, phase, and polarization ratio of horizontal polarization and vertical polarization; Acquiring polarization characteristics according to the polarization parameter data, wherein the polarization characteristics include polarizability, linear polarization ratio, phase difference and polarization reflectivity; The current weather conditions are obtained according to the polarization characteristics and the inversion algorithm.

6. A millimeter wave radar weather detection method according to claim 4, characterized in that: Analyzing the phase data according to the inversion algorithm to obtain the wind speed and direction under the current weather conditions specifically includes: Calculating phase differences at different positions or time points according to the phase data; According to the known radar parameters and antenna scanning mode, phase demodulation is performed to convert the phase difference into wind field speed; The wind speed information obtained by phase demodulation is combined with the radar scanning angle, radar position and observation distance parameters to calculate the wind field speed at the height of the car; According to the relationship between wind field speed and phase difference, the wind direction is obtained by trigonometric calculation.

7. A millimeter wave radar weather detection method according to claim 4, characterized in that: The intensity data is analyzed according to the inversion algorithm to obtain the intensity and distribution of precipitation, specifically including: According to the intensity data, obtaining the reflectivity of the radar signal; An empirical relationship model between reflectivity and precipitation is established through historical data, and the intensity data is converted into precipitation intensity; The precipitation intensity at the location of the vehicle is calculated based on the empirical relationship model and the intensity data, and at the same time, the intensity values ​​of the discrete radar observation points are interpolated to the entire radar observation area by a spatial interpolation method; According to the preset precipitation intensity threshold, the area is divided into different precipitation types and intensity levels.

8. A millimeter wave radar weather detection system, characterized in that: include: Data acquisition module: Scans and detects microphysical processes in the atmosphere through the millimeter-wave radar system to obtain radar echo data; Preprocessing module: preprocessing the radar echo data; Inversion analysis module: Analyze the pre-processed radar echo data according to the preset inversion algorithm to obtain the characteristic parameters of the weather phenomenon; Product generation module: Generate corresponding weather products based on the extracted weather characteristic parameters; Visualization module: Provide visual reminders to the vehicle computer according to the preset weather model based on the weather product.

9. An electronic device, characterized in that: The electronic device comprises: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the electronic device to implement a millimeter-wave radar weather detection method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor of a computer, the computer is enabled to execute a millimeter wave radar weather detection method as described in any one of claims 1 to 7.

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