Multi-Laser Wind Detection Radar Control Scanning and Scheduling Method Based on Valley Bridge Wind Observation

Abstract

The present invention relates to a multi-lidar wind measurement radar control scanning scheduling method based on valley bridge wind observation, belonging to the field of radio. The method includes: setting the lidar for wind measurement to a multi-layer RPI scanning mode and calculating multiple radar scanning parameters and multiple radar scanning times, where the RPI scanning mode is a horizontal sector scanning mode; generating multiple radar collaborative scanning strategies, and sending scanning commands to the lidar for wind measurement according to the collaborative scanning strategies to execute collaborative scanning tasks; the lidar for wind measurement generates multi-layer scanning data according to the multi-layer RPI scanning mode. The present invention realizes large-range and high-resolution spatial coverage through networking of multiple lidars, captures the three-dimensional structure of the wind field and its dynamic changes. Optimizes the scanning scheduling to improve efficiency. When multiple radars work simultaneously, the scanning tasks are reasonably allocated, avoiding resource waste or data redundancy. Real-time monitors the wind field around the bridge and analyzes the impact of wind-induced vibration on the bridge safety.

Description

Technical Field

[0001] The present invention relates to the field of radio, and particularly to a control scanning scheduling method for multi-laser wind measurement radars based on valley bridge wind observation. Background Art

[0002] Bridge wind engineering, as an important research direction in the cross-field of structural engineering and aerodynamics, its core task is to reveal the complex interaction mechanism between the atmospheric boundary layer wind field and the bridge structure. Due to the low damping and high flexibility of long-span bridges, they are more likely to induce various aerodynamic instability phenomena such as flutter, galloping, and vortex-induced resonance. Therefore, it is particularly important to accurately measure and analyze the wind field in the area where the bridge is located.

[0003] Traditional wind field observations mainly rely on point measurement means such as meteorological towers and ultrasonic anemometers. Their deficiencies in spatial resolution and poor terrain adaptability are particularly prominent in complex mountainous bridge sites. However, for the wind field in valley areas, which is significantly affected by terrain, with complex wind direction and wind speed changes, traditional single-point measurement methods are difficult to comprehensively reflect the wind field characteristics; moreover, valley bridges are vulnerable to strong winds, turbulence, and wind shear, and high-precision wind field data is required to evaluate the wind load and its impact on the bridge structure. To improve the spatial coverage and resolution of wind field data, the monitoring range of a single lidar is limited and cannot cover the wind fields of the bridge and its surrounding areas simultaneously. Therefore, how to solve the problems existing in the prior art is currently a consideration. Summary of the Invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art, and provides a control scanning scheduling method for multi-laser wind measurement radars based on valley bridge wind observation, which solves the deficiencies existing in the prior art.

[0005] The purpose of the present invention is achieved through the following technical solutions: A control scanning scheduling method for multi-laser wind measurement radars based on valley bridge wind observation, the method includes:

[0006] S1. After setting the wind measurement lidar to a multi-layer RPI scanning mode, calculate multiple radar scanning parameters and calculate multiple radar scanning times. The RPI scanning mode is a horizontal sector scanning mode;

[0007] S2. Generate multiple radar collaborative scanning strategies, and send scanning commands to the wind measurement lidar according to the collaborative scanning strategies to execute the collaborative scanning task;

[0008] S3. The wind measurement lidar generates multi-layer scanning data according to the multi-layer RPI scanning mode.

[0009] The calculation of multiple radar scanning parameters includes:

[0010] A1. Angle calculation of the multi-layer RPI scanning mode of the wind measurement lidar 1;

[0011] A2. Angle calculation for the multi-layer RPI scanning mode of the wind measurement lidar 2;

[0012] A3. Scanning speed calculation for the RPI scanning mode of the wind measurement lidar.

[0013] The specific content of A1 is as follows:

[0014] Set the wind measurement lidar 1 on the left side of the bridge. Set the difference between the radar detection altitude and the bridge altitude as a, and the sum of the horizontal distance from the radar to the bridge and the bridge length as c. Set the bridge observation heights as N meters above the bridge and N meters below the bridge;

[0015] According to the formula α = (180 / π) × (arctan a / c), when the bridge observation height is N meters above the bridge, calculate the starting pitch angle EL1 of the RPI scanning mode, and when the bridge observation height is N meters below the bridge, calculate the ending pitch angle EL2 of the RPI scanning mode;

[0016] The wind measurement radar 1 starts from the starting pitch angle EL1 and scans to the ending pitch angle EL2. Each elevation angle layer starts from the starting azimuth angle AZ1 and scans to the ending azimuth angle AZ2 at the scanning speed SPD1.

[0017] The specific content of A2 is as follows:

[0018] Set the wind measurement lidar 2 on the right side of the bridge. Set the difference between the radar detection altitude and the bridge altitude as a, and the sum of the horizontal distance from the radar to the bridge and the bridge length as c. Set the bridge observation heights as N meters above the bridge and N meters below the bridge;

[0019] According to the formula α = (180 / π) × (arctan a / c), when the bridge observation height is N meters above the bridge, calculate the starting pitch angle EL1 of the RPI scanning mode, and when the bridge observation height is N meters below the bridge, calculate the ending pitch angle EL2 of the RPI scanning mode;

[0020] The wind measurement radar 2 starts from the starting pitch angle EL1 and scans to the ending pitch angle EL2. Each elevation angle layer starts from the starting azimuth angle AZ1 and scans to the ending azimuth angle AZ2 at the scanning speed SPD1.

[0021] The specific content of A3 is as follows:

[0022] According to the angle resolution , the number of pulse accumulations and the pulse repetition period calculate the scanning speed of the wind measurement lidar as .

[0023] The calculation of the scanning times of multiple radars includes:

[0024] According to the starting azimuth angle AZ1, the ending azimuth angle AZ2, and the scanning speed SPD1, the scanning time of the wind measurement lidar 1 in the RPI scanning mode is RPI_T1 = (AZ2 - AZ1) / SPD1;

[0025] According to the starting azimuth angle AZ1, the ending azimuth angle AZ2, and the scanning speed SPD1, the scanning time of the wind measurement lidar 2 in the RPI scanning mode is RPI_T2 = (AZ2 - AZ1) / SPD1.

[0026] The present invention has the following advantages: The multi-lidar wind measurement radar control scanning and scheduling method based on valley bridge wind observation realizes large-range and high-resolution spatial coverage by networking multiple lidars, and captures the three-dimensional structure and its dynamic changes of the wind field. Optimize the scanning and scheduling to improve efficiency. When multiple radars work simultaneously, reasonably allocate scanning tasks to avoid resource waste or data redundancy. Real-time monitor the wind field around the bridge and analyze the impact of wind-induced vibration on the bridge safety. Brief Description of the Drawings

[0027] Figure 1 is a schematic flow chart of the present invention;

[0028] Figure 2 is a schematic diagram of the RPI scanning angle of the wind measurement lidar 1;

[0029] Figure 3 is a schematic diagram of the RPI scanning angle of the wind measurement lidar 2. Detailed Embodiments

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Apparently, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Usually, the components of the embodiments of the present application described and illustrated herein can be arranged and designed in various different configurations. Therefore, the detailed description of the embodiments of the present application provided below with reference to the accompanying drawings is not intended to limit the protection scope of the present application that is required to be protected, but only represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the protection scope of the present application. The present invention will be further described below with reference to the accompanying drawings.

[0031] Such as Figure 1As shown in the figure, the present invention relates to a multi-laser wind measurement radar control and scheduling method based on valley bridge wind observation. Through the bridge erection position and radar layout, multiple radars are designed for multi-layer RPI scanning, which can capture the three-dimensional structure and dynamic changes of the wind field around the bridge. The specific content is as follows:

[0032] Step 1: Calculate the scanning parameters of multiple radars;

[0033] Since the present invention is for measuring the three-dimensional wind pattern of the bridge, and the layout near the bridge will definitely involve mountainous areas, the horizontal scanning angle of the wind measurement lidar should be set to avoid mountainous areas as much as possible, which is generally obtained by actual measurement according to the equipment layout address. Assume that the starting and ending horizontal scanning angles are AZ1 and AZ2 respectively; in order to obtain the three-dimensional wind field of the bridge, the wind measurement lidar needs to be set to the multi-layer RPI mode (horizontal sector scanning mode), and the wind field information of the bridge area is obtained by each layer of RPI scanning.

[0034] (1) Calculate the angle of the multi-layer RPI mode of the wind measurement lidar 1;

[0035] The radar starts from a horizontal azimuth angle AZ1 at a fixed elevation angle and ends at the azimuth angle AZ2 at a certain scanning speed SPD1; since the bridge construction area is fixed, in order to obtain the wind field data near the bridge to the maximum extent, it is required that the maximum detection distance of the radar remains above the bridge length.

[0036] As Figure 2 shown in the figure, the wind measurement lidar 1 is located on the left side of the bridge. According to the bridge position and the detection performance of the wind measurement lidar, the elevation angle range required for the radar RPI sector scan can be calculated through specific formulas.

[0037] Assume that the bridge length is calculated as 1300m. In order to observe both the area 100m below the bridge and the area 100m above the bridge, the RPI angle needs to be set to -11.65~10.38°. The specific calculation formula is as follows:

[0038] ,

[0039] where a is the difference between the elevation of the radar detection and the elevation of the bridge, and c is the sum of the horizontal distance from the radar to the bridge and the bridge length.

[0040] For common bridge observations, the general height range is between 100m above the bridge and 100m below the bridge. Assume that the distance from the radar to the bridge is 10m and the bridge length is 1300m. Substituting these values into the formula respectively, the minimum scanning elevation angle is -12° and the maximum scanning elevation angle is 11°.

[0041] The azimuth range of the radar is centered on the bridge, with 45° on each side of the bridge, that is, AZ1 is 0° and AZ2 is 90°.

[0042] (2) Angle calculation of the multi-layer RPI mode of the wind measurement lidar 2;

[0043] As Figure 3 shown, place the wind measurement lidar 2 on the right side of the bridge. According to the bridge location and the detection performance of the wind measurement lidar, the elevation angle range required for the RPI fan scan of the lidar can be calculated through specific formulas.

[0044] Assuming the bridge length is calculated as 1300 m, in order to observe both the area 100 m below the bridge and the area 100 m above the bridge, the RPI angle needs to be set to -11.65~10.38°. The specific calculation formula is as follows:

[0045] ,

[0046] where a is the difference between the elevation of the lidar detection and the elevation of the bridge, and c is the sum of the horizontal distance from the lidar to the bridge and the bridge length.

[0047] For common bridge observations, the general height range is between 100 m above the bridge and 100 m below the bridge. Assuming the distance from the lidar to the bridge is 10 m and the bridge length is 1300 m, substituting into the formula respectively, the minimum scan elevation angle is -12° and the maximum scan elevation angle is 11°.

[0048] The azimuth range of the lidar is centered on the bridge, with 45° on each side of the bridge, that is, AZ1 is 0° and AZ2 is 90°.

[0049] (3) Scanning speed calculation of the RPI mode of the wind measurement lidar;

[0050] The scanning speed is related to the angular resolution, the number of spectral accumulations, and the pulse repetition period. The calculation formula is as follows:

[0051] ,

[0052] where SPD is the scanning speed, is the angular resolution, is the number of pulse accumulations, is the pulse repetition period.

[0053] Usually, the angular resolution is 1°; in order to ensure sufficient accumulation time, the NSP number of pulse accumulations is 1000, and the pulse repetition frequency is 10000 Hz; therefore, the scanning rate is 10° / s.

[0054] The scanning parameters of the wind measurement lidar 1 and the wind measurement lidar 2 are shown in Table 1 below.

[0055] Table 1. Scanning parameter table of the wind measurement lidar 1 and the wind measurement lidar 2

[0056] Scanning mode Horizontal angle range Pitch angle range Scanning speed RPI 0~90° -11.65° 10° / s RPI 0~90° -10.38° 10° / s RPI 0~90° -9.11° 10° / s RPI 0~90° -7.82° 10° / s RPI 0~90° -6.53° 10° / s RPI 0~90° -5.23° 10° / s RPI 0~90° -3.94° 10° / s RPI 0~90° -2.62° 10° / s RPI 0~90° -1.31° 10° / s RPI 0~90° 0° 10° / s RPI 0~90° 1.31° 10° / s RPI 0~90° 2.62° 10° / s RPI 0~90° 3.93° 10° / s RPI 0~90° 5.23° 10° / s RPI 0~90° 6.53° 10° / s RPI 0~90° 7.82° 10° / s RPI 0~90° 9.11° 10° / s RPI 0~90° 10.38° 10° / s

[0057] Step 2: Calculate the scanning times of multiple radars;

[0058] (1) For the wind lidar 1 in the RPI scanning mode, with the starting azimuth angle AZ1, the ending azimuth angle AZ2, and the scanning speed SPD1, the scanning time can be obtained as RPI_T1 = (AZ2 - AZ1) / SPD1;

[0059] (2) For the wind lidar 2 in the RPI scanning mode, with the starting azimuth angle AZ1, the ending azimuth angle AZ2, and the scanning speed SPD1, the scanning time can be obtained as RPI_T2 = (AZ2 - AZ1) / SPD1;

[0060] Furthermore, the scanning times corresponding to the respective scanning modes of the wind lidar 1 and the wind lidar 2 can be calculated as shown in Table 2 below.

[0061] Table 2: Scanning time table for the wind lidar 1 and the wind lidar 2

[0062] Scanning mode Scanning time RPI (Wind lidar 1) 2.85 min RPI (Wind lidar 2) 2.85 min

[0063] Step 3: Generate a cooperative scanning strategy for multiple radars;

[0064] Since real-time observation of the bridge valley wind is required to generate a three-dimensional wind field product of the bridge valley, and multiple scanning processes need to be executed in a short time. The wind lidar 1 scans from a low elevation angle to a high elevation angle in sequence, and the wind lidar 2 also scans from a low elevation angle to a high elevation angle synchronously. The elevation angle scans of the two radars are synchronous, that is, they are at the same elevation angle at the same time. In this way, the overlapping area and the radar blind area can be obtained, which is of great significance for data quality control and blind area filling.

[0065] Step 4: Execute the scanning scheduling according to the cooperative scanning strategy: Send scanning commands to the wind lidar 1 and the wind lidar 2 according to the above cooperative scanning strategy to execute the cooperative scanning task.

[0066] Step 5: Generate multi-layer scanning data: The wind lidar 1 generates a file according to the multi-layer RPI scanning mode, and the wind radar 2 generates a file according to the multi-layer RPI scanning mode, which are used as input files for the subsequent three-dimensional wind field generation algorithm.

[0067] The above are only the preferred embodiments of the present invention. It should be understood that the present invention is not limited to the forms disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and improvements, and can be changed within the scope of the concept described herein through the above teachings or the technology or knowledge in related fields. And any changes and variations made by those skilled in the art without departing from the spirit and scope of the present invention shall fall within the protection scope of the appended claims of the present invention.

Claims

1. A multi-laser wind measurement radar control scanning scheduling method based on valley bridge wind observation, characterized in that: The method includes: S1. After setting the wind measurement lidar to the multi-layer RPI scanning mode, calculate multiple radar scanning parameters and multiple radar scanning times. The RPI scanning mode is a horizontal fan scanning mode; S2. Generate multiple radar cooperative scanning strategies, and send scanning commands to the wind measurement lidar according to the cooperative scanning strategies to execute the cooperative scanning task; S3. The wind measurement lidar generates multi-layer scanning data according to the multi-layer RPI scanning mode; The calculation of multiple radar scanning parameters includes: A1. Angle calculation of the multi-layer RPI scanning mode of wind measurement lidar 1; A2. Angle calculation of the multi-layer RPI scanning mode of wind measurement lidar 2; A3. Scanning speed calculation of wind measurement lidars 1 and 2 in the RPI scanning mode; The specific content of A1 includes the following: Set the wind measurement lidar 1 on the left side of the bridge, and set the difference between the altitude detected by the wind measurement lidar 1 and the altitude of the bridge to be a , the sum of the horizontal distance from the wind measurement lidar 1 to the bridge and the length of the bridge is c, and set the bridge observation height to be N meters above the bridge and N meters below the bridge; According to the formula α=(180 / π)×(arctan a / c), when the bridge observation height is N meters above the bridge, the starting elevation angle EL1 of the RPI scanning mode is obtained, and when the bridge observation height is N meters below the bridge, the ending elevation angle EL2 of the RPI scanning mode is obtained; Wind measurement lidar 1 starts from the starting elevation angle EL1, scans to the ending elevation angle EL2. For each elevation layer, it starts from the starting azimuth angle AZ1 and scans to the ending azimuth angle AZ2 at the scanning speed SPD1; The specific content of A2 includes the following: The wind measurement lidar 2 is set on the right side of the bridge, and the difference between the altitude detected by the wind measurement lidar 2 and the altitude of the bridge is a , the sum of the horizontal distance from the wind measurement lidar 2 to the bridge and the length of the bridge is c, and the bridge observation heights are set to N meters above the bridge and N meters below the bridge; According to the formula α = (180 / π) × (arctan a / c), when the bridge observation height is N meters above the bridge, the starting elevation angle EL1 of the RPI scanning mode is obtained, and when the bridge observation height is N meters below the bridge, the ending elevation angle EL2 of the RPI scanning mode is obtained; Wind measurement lidar 2 starts from the starting elevation angle EL1, scans to the ending elevation angle EL2. For each elevation layer, it starts from the starting azimuth angle AZ1 and scans to the ending azimuth angle AZ2 at the scanning speed SPD1; The specific content of A3 includes the following: According to the angular resolution , the number of pulse accumulations NSP, and the pulse repetition period , the scanning speeds of the wind lidars 1 and 2 are calculated as .

2. The multi-laser wind measurement radar control scanning and scheduling method based on valley bridge wind observation according to claim 1, characterized in that: The calculation of multiple radar scanning times includes: According to the starting azimuth angle AZ1, the ending azimuth angle AZ2 and the scanning speed SPD1, the scanning time of wind measurement lidar 1 in the RPI scanning mode is RPI_T 1 = (AZ2 - AZ1) / SPD1; According to the starting azimuth angle AZ1, the ending azimuth angle AZ2 and the scanning speed SPD1, the scanning time of wind measurement lidar 2 in the RPI scanning mode is RPI_T2 = (AZ2 - AZ1) / SPD1.

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