A weather radar-based laser wind lidar calibration method

Abstract

This disclosure provides a calibration method for a laser wind-measuring radar based on weather radar, comprising: controlling a laser wind-measuring radar and a weather radar to perform synchronous observations under clear sky conditions; wherein the observation path of the laser wind-measuring radar is located within the clear sky echo observation area of ​​the weather radar; acquiring radial velocity data derived from the clear sky echo observed by the weather radar and wind measurement data observed by the laser wind-measuring radar; converting the wind measurement data into simulated radial velocity data, wherein the simulated radial velocity data is the radial velocity data of the observation point of the laser wind-measuring radar relative to the weather radar; calculating calibration parameters based on the radial velocity data and the simulated radial velocity data; and calibrating the wind measurement data observed by the laser wind-measuring radar according to the calibration parameters. In this way, in-situ automated calibration of a laser wind-measuring radar based on weather radar can be achieved.

Description

Technical Field

[0001] This disclosure relates to the field of meteorological observation technology, and in particular to a calibration method for a laser wind-measuring radar based on weather radar. Background Technology

[0002] As a key piece of equipment for the development of the low-altitude economy, laser wind radar is being deployed on an ever-expanding scale, leading to an urgent need to assess the accuracy of its observation results. Currently, such equipment is mostly calibrated at the factory, but after actual deployment, it is often difficult to implement regular on-site calibration, and the calibration process is time-consuming and labor-intensive. Summary of the Invention

[0003] In a first aspect, embodiments of this disclosure provide a laser wind-measuring radar calibration method based on weather radar, the method comprising: The laser wind-measuring radar and the weather radar are controlled to conduct synchronous observations under clear sky conditions; the observation path of the laser wind-measuring radar is located within the clear sky echo observation area of ​​the weather radar. Acquire radial velocity data derived from clear-sky echoes observed by weather radar and wind data observed by laser wind radar; The wind measurement data is converted into simulated radial velocity data, where the simulated radial velocity data is the radial velocity data of the observation point of the laser wind radar relative to the weather radar. The calibration parameters are calculated based on the radial velocity data and the simulated radial velocity data. The wind measurement data observed by the laser wind measuring radar is calibrated according to the calibration parameters.

[0004] In some possible implementations of the first aspect, wind measurement data is converted into simulated radial velocity data, including: Establish a horizontal coordinate system with the location of the weather radar as the origin, and determine the position of the observation point of the laser wind measuring radar in the horizontal coordinate system; Based on the position of the observation point of the laser wind measuring radar in the horizontal coordinate system, calculate the azimuth and distance of the observation point of the laser wind measuring radar relative to the weather radar. Based on the azimuth angle of the observation point of the laser wind measuring radar relative to the weather radar, and the horizontal wind direction and horizontal wind speed of the observation point of the laser wind measuring radar in the wind measurement data, the horizontal simulated radial velocity of the observation point of the laser wind measuring radar is calculated. Calculate the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar based on the vertical position of the observation point. Based on the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar and the vertical wind speed of the observation point of the laser wind measuring radar in the wind measurement data, the vertical simulated radial velocity of the observation point of the laser wind measuring radar is calculated. Based on the horizontal and vertical simulated radial velocities of the observation points of the laser wind radar, the simulated radial velocity of the observation points is calculated to obtain simulated radial velocity data.

[0005] In some possible implementations of the first aspect, the azimuth and distance of the laser wind-measuring radar observation point relative to the weather radar are calculated based on the position of the observation point of the laser wind-measuring radar in the horizontal coordinate system, including: Based on the position of the observation point of the laser wind measuring radar in the horizontal coordinate system, the azimuth and distance of the observation point relative to the weather radar are calculated using the following formula: ; ; in, , These represent the azimuth and distance of the observation point of the laser wind measuring radar relative to the weather radar, respectively. This indicates the position of the observation point of the laser wind measuring radar in the horizontal coordinate system.

[0006] In some possible implementations of the first aspect, the horizontal simulated radial velocity of the laser wind measuring radar observation point is calculated based on the azimuth angle of the observation point of the laser wind measuring radar relative to the weather radar and the horizontal wind direction and horizontal wind speed of the observation point in the wind measurement data, including: Based on the azimuth angle of the laser wind measurement radar observation point relative to the weather radar, and the horizontal wind direction and horizontal wind speed of the laser wind measurement radar observation point in the wind measurement data, the horizontal simulated radial velocity of the laser wind measurement radar observation point is calculated using the following formula: ; in, This represents the horizontal simulated radial velocity at the observation point of the laser wind radar; This indicates the azimuth angle of the observation point of the laser wind measuring radar relative to the weather radar; , These represent the horizontal wind direction and horizontal wind speed at the observation point of the laser wind measuring radar in the wind measurement data, respectively.

[0007] In some possible implementations of the first aspect, the elevation angle of the laser wind-measuring radar observation point relative to the weather radar is calculated based on the vertical position of the observation point, including: Based on the vertical position of the observation point of the laser wind measuring radar, the elevation angle of the observation point relative to the weather radar is calculated using the following formula: ; in, This indicates the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar; This indicates the vertical position of the observation point of the laser wind measuring radar.

[0008] In some possible implementations of the first aspect, the vertical simulated radial velocity of the laser wind-measuring radar observation point is calculated based on the elevation angle of the observation point of the laser wind-measuring radar relative to the weather radar and the vertical wind speed of the observation point of the laser wind-measuring radar in the wind measurement data, including: Based on the elevation angle of the laser wind measuring radar observation point relative to the weather radar and the vertical wind speed of the laser wind measuring radar observation point in the wind measurement data, the vertical simulated radial velocity of the laser wind measuring radar observation point is calculated using the following formula, including: ; in, This represents the vertical simulated radial velocity at the observation point of the laser wind radar; This indicates the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar; This indicates the vertical wind speed at the observation point of the laser wind measuring radar in the wind measurement data.

[0009] In some possible implementations of the first aspect, the simulated radial velocity of the laser wind measuring radar observation point is calculated based on the horizontal and vertical simulated radial velocities of the observation point, including: Based on the horizontal and vertical simulated radial velocities of the observation points from the laser wind radar, the simulated radial velocity of the observation points is calculated using the following formula: ; in, This represents the simulated radial velocity at the observation point of the laser wind radar; This represents the horizontal simulated radial velocity at the observation point of the laser wind radar; This represents the vertical simulated radial velocity at the observation point of the laser wind radar.

[0010] In some possible implementations of the first aspect, calibration parameters are calculated based on radial velocity data and simulated radial velocity data, including: The radial velocity of the observation points of the laser wind radar is selected from the radial velocity data; Regression analysis was performed on the radial velocity and simulated radial velocity at the observation points of the laser wind radar to obtain regression coefficients and regression intercepts. These regression coefficients and regression intercepts were then used as calibration parameters. The regression analysis formula is shown below: ; in, , These represent the radial velocity and simulated radial velocity at the observation point of the laser wind measuring radar, respectively. , These represent the regression coefficients and the regression intercept, respectively.

[0011] In some possible implementations of the first aspect, the wind measurement data observed by the laser wind measuring radar is calibrated according to calibration parameters, including: The wind measurement data observed by the laser wind radar is converted into simulated radial velocity data; The simulated radial velocity data of the laser wind radar is calibrated according to the calibration parameters, and the calibrated simulated radial velocity data is then restored to wind measurement data; the calibration formula is as follows: ; in, The data is the calibrated simulated radial velocity. The simulated radial velocity data before calibration; , These represent the regression coefficients and the regression intercept, respectively.

[0012] In some possible implementations of the first aspect, before calculating the calibration parameters based on the radial velocity data and the simulated radial velocity data, the method further includes: Recursive expansion is performed on the simulated radial velocity data; specifically, recursive expansion refers to expanding the data over a time period. Inside, laser wind-measuring radar will be used. Observation point at time The simulated radial velocity is recursively derived to Observation point at time To increase the amount of data; the recursive expansion process is represented by the following formula: ; ; ; in, Indicates the observation point Simulated radial velocity; Indicates the observation point Simulated radial velocity; Indicates the observation point Position in the horizontal coordinate system; Indicates the observation point Position in the horizontal coordinate system; Indicates horizontal wind direction; Indicates a time period.

[0013] Secondly, embodiments of this disclosure provide a laser wind-measuring radar calibration device based on weather radar, the device comprising: The control module is used to control the laser wind measuring radar and the weather radar to conduct synchronous observations under clear sky conditions; wherein, the observation path of the laser wind measuring radar is located within the clear sky echo observation area of ​​the weather radar. The acquisition module is used to acquire radial velocity data derived from clear-sky echoes observed by weather radar and wind data observed by laser wind radar. The conversion module is used to convert wind measurement data into simulated radial velocity data, where the simulated radial velocity data is the radial velocity data of the observation point of the laser wind radar relative to the weather radar. The calculation module is used to calculate calibration parameters based on radial velocity data and simulated radial velocity data; The calibration module is used to calibrate the wind measurement data observed by the laser wind radar according to the calibration parameters.

[0014] Thirdly, embodiments of this disclosure provide an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; the memory storing instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method described above.

[0015] Fourthly, embodiments of this disclosure provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the methods described above.

[0016] In this embodiment, a low-cost, high-efficiency, on-site calibrator with reliable results can be performed on a laser wind-measuring radar using a weather radar as a reference standard. This fundamentally solves the calibration dilemma faced by laser wind-measuring radar after large-scale deployment, and effectively ensures the accuracy and long-term stability of its observation results.

[0017] It should be understood that the description in the Summary of the Invention is not intended to limit the key or essential features of the embodiments of this disclosure, nor is it intended to restrict the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0018] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. The drawings are provided for a better understanding of the invention and are not intended to limit the scope of this disclosure. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein: Figure 1 A flowchart of a laser wind measurement radar calibration method based on weather radar provided in an embodiment of this disclosure is shown; Figure 2A structural diagram of a laser wind radar calibration device based on weather radar provided in an embodiment of this disclosure is shown. Figure 3 A structural diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0020] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0021] To address the problems in the background art, this disclosure provides a calibration method for a laser wind-measuring radar based on weather radar. Specifically, the laser wind-measuring radar and weather radar are controlled to perform synchronous observations under clear sky conditions; wherein the observation path of the laser wind-measuring radar is located within the clear sky echo observation area of ​​the weather radar; radial velocity data derived from the clear sky echo observed by the weather radar and wind measurement data observed by the laser wind-measuring radar are acquired; the wind measurement data is converted into simulated radial velocity data, wherein the simulated radial velocity data is the radial velocity data of the observation point of the laser wind-measuring radar relative to the weather radar; calibration parameters are calculated based on the radial velocity data and the simulated radial velocity data; and the wind measurement data observed by the laser wind-measuring radar is calibrated according to the calibration parameters. In this way, in-situ automated calibration of a laser wind-measuring radar based on weather radar can be achieved.

[0022] The following detailed description, in conjunction with the accompanying drawings, of a laser wind measurement radar calibration method based on weather radar provided in this disclosure through specific embodiments, will be provided in detail.

[0023] Figure 1 A flowchart of a laser wind-measuring radar calibration method based on weather radar provided in this disclosure is shown, as follows: Figure 1 As shown, method 100 may include the following steps: S110 controls the synchronous observation of the laser wind radar and the weather radar under clear sky conditions.

[0024] The observation path of the laser wind measuring radar is located within the clear sky echo observation area of ​​the weather radar.

[0025] S120 acquires radial velocity data derived from clear-sky echoes observed by weather radar and wind data observed by laser wind radar.

[0026] S130 converts wind measurement data into simulated radial velocity data.

[0027] Specifically, since weather radar observations are radial velocity data and horizontal wind speed inversion is prone to errors, the wind measurement data (such as horizontal wind direction, horizontal wind speed, vertical wind speed, etc.) observed by laser wind radar is converted into simulated radial velocity data (that is, the radial velocity data of the observation point of laser wind radar relative to the weather radar) to avoid the introduction of systematic errors.

[0028] As an example, the above conversion process can be described as follows: Establish a horizontal coordinate system with the location of the weather radar as the origin, and determine the position of the observation point of the laser wind measuring radar in the horizontal coordinate system.

[0029] Based on the position of the observation point of the laser wind measuring radar in the horizontal coordinate system, the azimuth and distance of the observation point relative to the weather radar are calculated. The calculation formula is shown below: ; ; in, , These represent the azimuth and distance of the observation point of the laser wind measuring radar relative to the weather radar, respectively. This indicates the position of the observation point of the laser wind measuring radar in the horizontal coordinate system.

[0030] Based on the azimuth angle of the laser wind measuring radar observation point relative to the weather radar, and the horizontal wind direction and horizontal wind speed of the laser wind measuring radar observation point in the wind measurement data, the simulated horizontal radial velocity of the laser wind measuring radar observation point is calculated. The calculation formula is shown below: ; in, This represents the horizontal simulated radial velocity at the observation point of the laser wind radar; This indicates the azimuth angle of the observation point of the laser wind measuring radar relative to the weather radar; , These represent the horizontal wind direction and horizontal wind speed at the observation point of the laser wind measuring radar in the wind measurement data, respectively.

[0031] Based on the vertical position of the observation point of the laser wind measuring radar, the elevation angle of the observation point relative to the weather radar is calculated. The calculation formula is as follows: ; in, This indicates the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar; This indicates the vertical position of the observation point of the laser wind measuring radar.

[0032] Based on the elevation angle of the laser wind measuring radar observation point relative to the weather radar and the vertical wind speed of the observation point in the wind measurement data, the vertical simulated radial velocity of the laser wind measuring radar observation point is calculated. The calculation formula is shown below: ; in, This represents the vertical simulated radial velocity at the observation point of the laser wind radar; This indicates the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar; This indicates the vertical wind speed at the observation point of the laser wind measuring radar in the wind measurement data.

[0033] Based on the horizontal and vertical simulated radial velocities of the laser wind radar observation points, the simulated radial velocity of those observation points (i.e., the simulated radial velocity at the location of the laser wind radar observation point) is calculated, thus obtaining the simulated radial velocity data. The calculation formula is shown below: ; in, This represents the simulated radial velocity at the observation point of the laser wind radar; This represents the horizontal simulated radial velocity at the observation point of the laser wind radar; This represents the vertical simulated radial velocity at the observation point of the laser wind radar.

[0034] S140, calculate calibration parameters based on radial velocity data and simulated radial velocity data.

[0035] In some embodiments, the radial velocity of the observation point of the laser wind measuring radar (i.e., the radial velocity at the location of the laser wind measuring radar observation point as observed by the weather radar) is selected from the radial velocity data. Regression analysis is then performed based on the radial velocity of the laser wind measuring radar observation point and the simulated radial velocity to obtain regression coefficients and regression intercepts. These regression coefficients and regression intercepts are used as calibration parameters. The regression analysis formula is shown below: ; in, , These represent the radial velocity and simulated radial velocity at the observation point of the laser wind measuring radar, respectively. , These represent the regression coefficient and the regression intercept, respectively. The larger the regression coefficient, the lower the threshold. The closer the value is to 1, the higher the quality of the laser wind measurement radar data; otherwise, it indicates that the laser wind measurement radar has a multiplicative bias. (Intercept) The closer the value is to 0, the higher the quality of the laser wind radar data; otherwise, it indicates that the laser wind radar has an additive bias.

[0036] S150 calibrates the wind measurement data observed by the laser wind radar according to the calibration parameters.

[0037] In some embodiments, wind measurement data observed by the laser wind measuring radar in the past, present, and future are converted into simulated radial velocity data. The simulated radial velocity data of the laser wind measuring radar is calibrated according to calibration parameters, and the calibrated simulated radial velocity data is then restored to wind measurement data. The calibration formula is shown below: ; in, The data is the calibrated simulated radial velocity. The simulated radial velocity data before calibration; , These represent the regression coefficients and the regression intercept, respectively.

[0038] In summary, according to the embodiments of this disclosure, at least the following technical effects are achieved: (1) Realized on-site and regular online calibration: By controlling the laser wind radar to observe synchronously with the deployed weather radar, the equipment can be calibrated directly on the deployment site without having to disassemble and return the equipment to the laboratory or use additional mobile calibration equipment, breaking the limitations of location and time on traditional calibration.

[0039] (2) Reduced calibration costs and workload: Using existing weather radar observation data as a benchmark avoids complex manual intervention and on-site operations, significantly saving manpower and time costs.

[0040] (3) Improved representativeness and reliability of calibration data: By comparing data obtained by weather radar in a large "clear sky echo observation area", compared with the single-point calibration method, the comprehensive performance of laser wind radar in its entire observation path can be evaluated. The calibration results can better reflect its real observation status in the actual working environment, thus improving the accuracy and reliability of calibration.

[0041] (4) Ensuring the effectiveness of calibration: Atmospheric turbulence serves as an ideal tracer of the wind field, and the radial velocity of the clear-sky echoes it generates can be considered as the velocity component of the atmospheric wind field in the radar radial direction. Based on this, since atmospheric turbulence can form clear-sky echoes caused by Bragg scattering in weather radar, the radial velocity data retrieved by weather radar based on its observed clear-sky echoes has high accuracy and reliability, providing a reliable, near-true reference benchmark for laser wind radar, thereby ensuring the effectiveness of calibration.

[0042] (5) It helps to establish a long-term monitoring mechanism and ensure the long-term stability of data quality: By regularly performing this calibration process, the performance drift of the laser wind radar can be continuously monitored, measurement deviations can be detected and corrected in a timely manner, and accurate and reliable wind measurement data can be provided throughout its entire life cycle, providing stable and reliable data support for the development of the low-altitude economy.

[0043] It should also be noted that although laser wind radar has high spatiotemporal resolution, it only measures a single vertical wind profile directly above the equipment. This results in a limited amount of simulated radial velocity data available for regression analysis. To increase the amount of data and improve calibration accuracy, method 100 may further include the following before S140: The simulated radial velocity data is recursively expanded. Specifically, it is assumed that the motion state of the wind field tracer observed by the laser wind radar (i.e., the simulated radial velocity) remains constant over a short period of time, and... Observation point at time The tracer inside the device passes through a very short period of time. Later Move to the observation point at any time So, in the time period Inside, laser wind-measuring radar can be used in Observation point at time The simulated radial velocity is recursively derived to Observation point at time This increases the amount of data. For example, the above process can be described as follows: ; ; ; in, Indicates the observation point Simulated radial velocity; Indicates the observation point Simulated radial velocity; Indicates the observation point Position in the horizontal coordinate system; Indicates the observation point Position in the horizontal coordinate system; Indicates horizontal wind direction; Indicates a time period, such as 3 minutes.

[0044] In view of this, At that moment, in addition to the simulated radial velocity data of the observation point directly observed by the laser wind radar, it also includes data from... Simulated radial velocity data from observation points that are recursively updated over time can be used to expand the amount of available data.

[0045] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this disclosure is not limited to the described order of actions, because according to this disclosure, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this disclosure.

[0046] The above is an introduction to the method embodiments. The following describes the solution described in this disclosure further through device embodiments.

[0047] Figure 2 This diagram illustrates a structural diagram of a laser wind-measuring radar calibration device based on weather radar, as provided in an embodiment of this disclosure. Figure 2 As shown, the device 200 may include: The control module 210 is used to control the laser wind measuring radar and the weather radar to conduct synchronous observations under clear sky conditions; wherein, the observation path of the laser wind measuring radar is located within the clear sky echo observation area of ​​the weather radar.

[0048] The acquisition module 220 is used to acquire radial velocity data derived from clear-sky echoes observed by the weather radar and wind measurement data observed by the laser wind radar.

[0049] The conversion module 230 is used to convert wind measurement data into simulated radial velocity data, wherein the simulated radial velocity data is the radial velocity data of the observation point of the laser wind radar relative to the weather radar.

[0050] The calculation module 240 is used to calculate calibration parameters based on radial velocity data and simulated radial velocity data.

[0051] The calibration module 250 is used to calibrate the wind measurement data observed by the laser wind radar according to the calibration parameters.

[0052] Understandable, Figure 2 Each module / unit in the illustrated device 200 has the ability to implement Figure 1The functions of each step in method 100 shown, and their corresponding technical effects, will not be elaborated here for the sake of brevity.

[0053] Figure 3 A structural diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. Electronic device 300 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic device 300 may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0054] like Figure 3 As shown, the electronic device 300 may include a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 302 or a computer program loaded from a storage unit 308 into a random access memory (RAM) 303. The RAM 303 may also store various programs and data required for the operation of the electronic device 300. The computing unit 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0055] Multiple components in electronic device 300 are connected to I / O interface 305, including: input unit 306, such as keyboard, mouse, etc.; output unit 307, such as various types of displays, speakers, etc.; storage unit 308, such as disk, optical disk, etc.; and communication unit 309, such as network card, modem, wireless transceiver, etc. Communication unit 309 allows electronic device 300 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0056] The computing unit 301 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as method 100. For example, in some embodiments, method 100 may be implemented as a computer program product, including a computer program tangibly contained in a computer-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 300 via ROM 302 and / or communication unit 309. When the computer program is loaded into RAM 303 and executed by the computing unit 301, one or more steps of method 100 described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to perform method 100 by any other suitable means (e.g., by means of firmware).

[0057] The various embodiments described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), payload programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0058] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0059] In the context of this disclosure, a computer-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of computer-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0060] It should be noted that this disclosure also provides a non-transitory computer-readable storage medium storing computer instructions. These computer instructions are used to cause a computer to execute method 100 and achieve the corresponding technical effects achieved by executing the method in the embodiments of this disclosure; for the sake of brevity, they will not be elaborated further here.

[0061] In addition, this disclosure also provides a computer program product including a computer program that implements method 100 when executed by a processor.

[0062] To provide interaction with the user, the embodiments described above can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0063] The embodiments described above can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with the implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0064] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0065] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0066] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A calibration method for a laser wind-measuring radar based on weather radar, characterized in that, The method includes: The laser wind-measuring radar and the weather radar are controlled to conduct synchronous observations under clear sky conditions; wherein the observation path of the laser wind-measuring radar is located within the clear sky echo observation area of ​​the weather radar. Acquire radial velocity data derived from clear-sky echoes observed by the weather radar and wind data observed by the laser wind-measuring radar; The wind measurement data is converted into simulated radial velocity data, wherein the simulated radial velocity data is the radial velocity data of the observation point of the laser wind measuring radar relative to the weather radar; The calibration parameters are calculated based on the radial velocity data and the simulated radial velocity data; The wind measurement data observed by the laser wind measuring radar is calibrated according to the calibration parameters.

2. The method according to claim 1, characterized in that, The process of converting the wind measurement data into simulated radial velocity data includes: A horizontal coordinate system is established with the location of the weather radar as the origin, and the position of the observation point of the laser wind measuring radar in the horizontal coordinate system is determined. Based on the position of the observation point of the laser wind measuring radar in the horizontal coordinate system, calculate the azimuth and distance of the observation point of the laser wind measuring radar relative to the weather radar; Based on the azimuth angle of the observation point of the laser wind measuring radar relative to the weather radar, and the horizontal wind direction and horizontal wind speed of the observation point of the laser wind measuring radar in the wind measurement data, the horizontal simulated radial velocity of the observation point of the laser wind measuring radar is calculated. Based on the vertical position of the observation point of the laser wind measuring radar, calculate the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar; Based on the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar and the vertical wind speed of the observation point of the laser wind measuring radar in the wind measurement data, the vertical simulated radial velocity of the observation point of the laser wind measuring radar is calculated. Based on the horizontal and vertical simulated radial velocities of the observation points of the laser wind measuring radar, the simulated radial velocity of the observation points is calculated to obtain simulated radial velocity data.

3. The method according to claim 2, characterized in that, The step of calculating the azimuth and distance of the observation point of the laser wind measuring radar relative to the weather radar based on the position of the observation point in the horizontal coordinate system includes: Based on the position of the observation point of the laser wind measuring radar in the horizontal coordinate system, the azimuth angle and distance of the observation point of the laser wind measuring radar relative to the weather radar are calculated using the following formula: ； ； in, , These represent the azimuth and distance of the observation point of the laser wind measuring radar relative to the weather radar, respectively. This indicates the position of the observation point of the laser wind measuring radar in the horizontal coordinate system.

4. The method according to claim 3, characterized in that, The step of calculating the simulated horizontal radial velocity of the laser wind measuring radar observation point based on the azimuth angle of the observation point relative to the weather radar and the horizontal wind direction and horizontal wind speed of the observation point in the wind measurement data includes: Based on the azimuth angle of the observation point of the laser wind measuring radar relative to the weather radar, and the horizontal wind direction and horizontal wind speed of the observation point of the laser wind measuring radar in the wind measurement data, the horizontal simulated radial velocity of the observation point of the laser wind measuring radar is calculated using the following formula: ； in, This represents the horizontal simulated radial velocity at the observation point of the laser wind measuring radar; This indicates the azimuth angle of the observation point of the laser wind measuring radar relative to the weather radar; , These represent the horizontal wind direction and horizontal wind speed of the observation point of the laser wind measuring radar in the wind measurement data, respectively.

5. The method according to claim 4, characterized in that, The step of calculating the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar based on the vertical position of the observation point includes: Based on the vertical position of the observation point of the laser wind measuring radar, the elevation angle of the observation point relative to the weather radar is calculated using the following formula: ； in, This indicates the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar; This indicates the vertical position of the observation point of the laser wind measuring radar.

6. The method according to claim 5, characterized in that, The step of calculating the vertical simulated radial velocity of the observation point of the laser wind measuring radar based on the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar and the vertical wind speed of the observation point of the laser wind measuring radar in the wind measurement data includes: Based on the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar and the vertical wind speed of the observation point of the laser wind measuring radar in the wind measurement data, the vertical simulated radial velocity of the observation point of the laser wind measuring radar is calculated using the following formula, including: ； in, This represents the vertical simulated radial velocity at the observation point of the laser wind measuring radar; This indicates the elevation angle of the observation point of the laser wind measuring radar relative to the weather radar; This indicates the vertical wind speed at the observation point of the laser wind measuring radar in the wind measurement data.

7. The method according to claim 6, characterized in that, The step of calculating the simulated radial velocity of the observation point of the laser wind measuring radar based on the horizontal and vertical simulated radial velocities of the observation point includes: Based on the horizontal and vertical simulated radial velocities of the observation points of the laser wind measuring radar, the simulated radial velocity of the observation points is calculated using the following formula: ； in, The simulated radial velocity at the observation point of the laser wind measuring radar; This represents the horizontal simulated radial velocity at the observation point of the laser wind measuring radar; This represents the vertical simulated radial velocity of the observation point of the laser wind measuring radar.

8. The method according to claim 7, characterized in that, The step of calculating calibration parameters based on the radial velocity data and the simulated radial velocity data includes: The radial velocity of the observation point of the laser wind measuring radar is selected from the radial velocity data; Regression analysis was performed on the radial velocity and simulated radial velocity at the observation points of the laser wind radar to obtain regression coefficients and regression intercepts, which were then used as calibration parameters. The regression analysis formula is shown below: ； in, , These represent the radial velocity and simulated radial velocity at the observation point of the laser wind measuring radar, respectively. , These represent the regression coefficients and the regression intercept, respectively.

9. The method according to claim 8, characterized in that, The calibration of the wind measurement data observed by the laser wind measuring radar according to the calibration parameters includes: The wind measurement data observed by the laser wind radar is converted into simulated radial velocity data; The simulated radial velocity data of the laser wind measuring radar is calibrated according to the calibration parameters, and the calibrated simulated radial velocity data is then restored to wind measurement data; wherein, the calibration formula is as follows: ； in, The data is the calibrated simulated radial velocity. The simulated radial velocity data before calibration; , These represent the regression coefficients and the regression intercept, respectively.

10. The method according to claim 1, characterized in that, Before calculating the calibration parameters based on the radial velocity data and the simulated radial velocity data, the method further includes: The simulated radial velocity data is recursively expanded; specifically, recursively expanded refers to expanding the data over a time period. Inside, the laser wind-measuring radar will be placed in Observation point at time The simulated radial velocity is recursively derived to Observation point at time To increase the amount of data; the recursive expansion process is represented by the following formula: ； ； ； in, Indicates the observation point Simulated radial velocity; Indicates the observation point Simulated radial velocity; Indicates the observation point Position in the horizontal coordinate system; Indicates the observation point Position in the horizontal coordinate system; Indicates horizontal wind direction; Indicates a time period.

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