Resonance type ultrasonic wind meter data processing method and system

Abstract

The invention relates to the technical field of data processing, in particular to a resonance type ultrasonic wind meter data processing method and system, and the method comprises the steps: obtaining wind speed data collected by a resonance type ultrasonic wind meter and environment data collected by a sensor, and the environment data comprises environment temperature, environment air pressure and environment humidity; constructing an environment compensation model, and correcting the relative error of the wind speed data caused by the temperature change, the humidity change and the air pressure change through a temperature compensation coefficient, a humidity compensation coefficient and an air pressure compensation coefficient in the environment compensation model; and utilizing the trained environment compensation model to compensate wind speed data acquired by the resonance type ultrasonic anemometer to obtain target wind speed at each moment. The accuracy of the wind speed measurement result can be improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and more particularly to a method and system for processing data of a resonant ultrasonic anemometer. Background Art

[0002] Resonant ultrasonic anemometers, based on acoustic resonance technology, determine wind speed and direction by emitting high-frequency ultrasonic waves into the air and measuring their propagation time and frequency changes. These instruments offer advantages such as a compact structure, ease of heating compensation, adaptability to low-temperature, humid, and sandy environments, and high reliability.

[0003] However, in practical applications, environmental factors such as humidity and temperature can affect the propagation speed of ultrasound waves, and thus the measurement accuracy of resonant ultrasonic anemometers. Specifically, increasing humidity increases the number of water vapor molecules in the air, which absorbs and scatters ultrasound waves, slowing their propagation. Rising air pressure increases air density, accelerating ultrasound propagation. Rising temperature intensifies the thermal motion of air molecules, changing the air's density and elastic modulus, similarly accelerating ultrasound propagation. This can lead to significant deviations in wind speed data measured by resonant ultrasonic anemometers, necessitating a method to eliminate the influence of these environmental factors.

[0004] In related technologies, error compensation is often used to correct collected wind speed data. However, this method determines the error based on the difference between the measured wind speed value and the predicted wind speed value at each moment. It cannot directly account for the impact of environmental factors on the measurement results. In other words, it cannot accurately reflect the impact of changes in temperature, humidity, etc. on the propagation speed of ultrasonic waves. Therefore, it is difficult to accurately eliminate the deviation caused by environmental factors through error compensation alone. As a result, the compensated wind speed data may still contain errors, thereby reducing the accuracy of the wind speed data. Summary of the Invention

[0005] In order to solve the problem that accurate wind speed data cannot be obtained using a resonant ultrasonic anemometer, the present invention provides a resonant ultrasonic anemometer data processing method and system.

[0006] According to a first aspect of the present invention, a method for processing data of a resonant ultrasonic anemometer is provided, comprising: Obtain wind speed data collected by a resonant ultrasonic anemometer and environmental data collected by a sensor, including ambient temperature, ambient air pressure, and ambient humidity; An environmental compensation model is constructed to compensate the wind speed data collected by the resonant ultrasonic anemometer using the trained environmental compensation model to obtain the target wind speed at each moment; The calculation formula of the environmental compensation model is: ; For the The degree of environmental compensation at each moment; 、 as well as Respectively The temperature compensation coefficient, humidity compensation coefficient, and air pressure compensation coefficient at the moment are used to correct the relative errors in wind speed data caused by temperature changes, humidity changes, and air pressure changes, respectively; 、 as well as Respectively The ambient temperature, humidity and pressure at the moment; 、 as well as Respectively The reference temperature, reference humidity and reference air pressure at the moment; The reference temperature, reference humidity, and reference air pressure are the average temperature, average humidity, and average air pressure of the sampling location and surrounding locations at the same time.

[0007] By constructing an environmental compensation model, the present invention can correct the relative errors of wind speed data caused by temperature changes, humidity changes, and air pressure changes based on the temperature compensation coefficient, humidity compensation coefficient, and air pressure compensation coefficient at each moment, thereby ensuring the accuracy of the environmental compensation degree obtained at each moment. After using the trained environmental compensation model to compensate for the wind speed data collected by the resonant ultrasonic anemometer, the influence of environmental factors can be eliminated, thereby improving the accuracy of the obtained wind speed data.

[0008] Preferably, the method for obtaining the temperature compensation coefficient at any moment includes: The absolute value of the difference between the wind speed data at any moment and the moment when the temperature changed most recently is taken as the wind speed change at that moment, and the absolute value of the difference between the ambient temperature value at that moment and the moment when the temperature changed most recently is taken as the temperature change at that moment; The temperature compensation coefficient at any moment is calculated. The temperature compensation coefficient is positively correlated with the ratio of the wind speed change to the reference wind speed at the temperature at any moment, and negatively correlated with the temperature change.

[0009] Preferably, the temperature compensation coefficient satisfies the following relationship: ; Where, For the Temperature compensation coefficient at the moment; For the Temperature change at each moment; For the The wind speed change at each moment; For the Theoretical wind speed value at the current temperature.

[0010] The present invention can obtain an accurate temperature compensation coefficient based on the degree of influence of temperature on wind speed.

[0011] Preferably, the method for obtaining the temperature compensation coefficient at any moment includes: The absolute value of the difference between the dry-wet density ratio at any moment and the moment when the humidity changes most recently is taken as the change in the dry-wet density ratio at that moment, and the absolute value of the difference between the ambient humidity value at that moment and the moment when the humidity changes most recently is taken as the change in humidity at that moment; The humidity compensation coefficient at any moment is calculated. The humidity compensation coefficient is positively correlated with the change in the dry-wet density ratio and the ratio of the reference wind speed under the humidity at any moment, and is negatively correlated with the humidity change.

[0012] The present invention utilizes the characteristic that changes in ambient humidity will cause changes in water vapor molecules in the air, thereby causing changes in wind speed data. By calculating the difference in the dry and wet air density ratios, the relative error of the wind speed data caused by humidity changes can be accurately measured, thereby ensuring the accuracy of the determined humidity compensation coefficient.

[0013] Preferably, the humidity compensation coefficient satisfies the following relationship: ; Where, For the Humidity compensation coefficient at the moment; For the The change in dry-wet density ratio at the moment; For the Humidity change at each moment; For the Theoretical wind speed value under constant humidity.

[0014] Preferably, the method for obtaining the air pressure compensation coefficient at any moment includes: The absolute value of the difference between the air density at any moment and the moment of the most recent air pressure change is taken as the air density change at that moment, and the absolute value of the difference between the ambient air pressure at any moment and the moment of the most recent air pressure change is taken as the air pressure change at that moment; The air pressure compensation coefficient at any moment is calculated. The air pressure compensation coefficient is positively correlated with the ratio of the air density change to the reference air density at the air pressure at any moment, and is negatively correlated with the air pressure change.

[0015] The present invention utilizes the characteristic that changes in air pressure affect the density and compressibility of air, thereby causing changes in wind speed data. By calculating the density change, the relative error of wind speed data caused by air pressure changes can be accurately measured, thereby ensuring the accuracy of the air pressure compensation coefficient.

[0016] Preferably, the air pressure compensation coefficient satisfies the following relationship: ; Where, For the Atmospheric pressure compensation coefficient at the moment; For the Change in air density at the moment of pressure; For the The change in air pressure at that moment; For the Reference air density at the current pressure; For the The ambient air pressure value at the moment.

[0017] Preferably, when using the trained environmental compensation model to compensate for the wind speed data collected by the resonant ultrasonic anemometer, the trained environmental compensation model compensates the wind speed data input into the trained environmental compensation model by multiplying the input wind speed data with the environmental compensation degree at the corresponding moment.

[0018] Preferably, the sampling location, sampling time and sampling frequency of the environmental data and the wind speed data are the same.

[0019] The present invention can ensure the consistency of environmental data and wind speed data.

[0020] According to a second aspect of the present invention, a resonant ultrasonic anemometer data processing system is provided. The system includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the first aspect of the present invention.

[0021] The present invention has the following effects: 1. The present invention constructs an environmental compensation model based on the temperature compensation coefficient, the humidity compensation coefficient and the air pressure compensation coefficient, thereby reducing the measurement error of the wind speed data caused by environmental factors, making the measurement result closer to the true value, and improving the accuracy of the wind speed data.

[0022] 2. Since changes in environmental factors are often unpredictable, the measured wind speed data may fluctuate greatly. The present invention compensates for the measurement errors caused by environmental factors, which can reduce such fluctuations, thereby making the wind speed data more stable and reliable, and further improving the accuracy of the obtained wind speed data. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the following detailed description with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an illustrative and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein: Figure 1 The present invention is a flowchart of a method for processing data of a resonant ultrasonic anemometer according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work shall fall within the scope of protection of the present invention.

[0025] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0026] Reference Figure 1 A method for processing data of a resonant ultrasonic anemometer includes steps S1 to S3, specifically as follows: S1: Obtain wind speed data collected by a resonant ultrasonic anemometer and environmental data collected by a sensor, the environmental data including ambient temperature, ambient air pressure, and ambient humidity.

[0027] In an exemplary embodiment of the present invention, the sensors include a temperature sensor, an air pressure sensor, and a humidity sensor.

[0028] Specifically, a temperature sensor may be used to collect ambient temperature, an air pressure sensor may be used to collect ambient humidity, and a humidity sensor may be used to collect ambient humidity. This embodiment does not specifically limit the types of the selected temperature sensor, air pressure sensor, and humidity sensor.

[0029] It should be noted that in order to ensure the consistency and accuracy of the data, the sampling location, sampling frequency and sampling time of the wind speed data and the environmental data are the same.

[0030] S2: Construct an environmental compensation model.

[0031] Specifically, the calculation formula of the constructed environmental compensation model satisfies the following relationship: ; Where, For the The degree of environmental compensation at each moment; 、 as well as Respectively The temperature compensation coefficient, humidity compensation coefficient, and air pressure compensation coefficient at the moment are used to correct the relative errors in wind speed data caused by temperature changes, humidity changes, and air pressure changes, respectively; 、 as well as Respectively The ambient temperature, humidity and pressure at the moment; 、 as well as Respectively The reference temperature, reference humidity, and reference air pressure at the moment.

[0032] Among them, the temperature compensation coefficient refers to the coefficient used to compensate for the relative error of wind speed data caused by temperature changes; the humidity compensation coefficient refers to the coefficient used to compensate for the relative error of wind speed data caused by humidity changes; and the air pressure compensation coefficient refers to the coefficient used to compensate for the relative error of wind speed data caused by air pressure changes.

[0033] The reference temperature refers to the average temperature at any time at the sampling location and surrounding locations; the reference humidity refers to the average humidity at any time at the sampling location and surrounding locations; and the reference air pressure refers to the average air pressure at any time at the sampling location and surrounding locations. It should be noted that in the present invention, multiple locations, such as eight, are selected in ascending order of distance from the sampling location as the surrounding locations of the sampling location.

[0034] In an exemplary embodiment of the present invention, the temperature compensation coefficient at any moment can be determined by the following steps: Step 1: The absolute value of the difference between the wind speed data at any moment and the moment when the temperature changed most recently is taken as the wind speed change at that moment, and the absolute value of the difference between the ambient temperature value at that moment and the moment when the temperature changed most recently is taken as the temperature change at that moment; For example, any moment can be recorded as , the time when the temperature changes most recently before any moment is recorded as , then Wind speed change at each moment ;No. Temperature change at time .

[0035] It should be noted that if The ambient temperature at this moment is , then The moment is the first in the temporal sequence Before the moment, and The time interval is the shortest and the ambient temperature value is Different moments.

[0036] Step 2: Calculate the temperature compensation coefficient at any moment. The temperature compensation coefficient is positively correlated with the ratio of the wind speed change to the reference wind speed at the temperature at any moment, and negatively correlated with the temperature change.

[0037] Specifically, the temperature compensation coefficient at any moment satisfies the following relationship: ; Where, For the Temperature compensation coefficient at the moment; For the Temperature change at each moment; For the The wind speed change at each moment; For the The theoretical wind speed value at the time temperature. It should be noted that the method for determining the theoretical wind speed value at any location at any temperature is a prior art and will not be described in detail in this embodiment.

[0038] in, It reflects the relative error of wind speed data determined based on the change of wind speed data. The larger the value is, the The relative error of the wind speed data at the moment is large, and when Smaller, If it is larger, it indicates A slight change in temperature at a given moment will cause a significant change in the wind speed data at that moment, which means that temperature has a greater impact on wind speed data. Therefore, a larger temperature compensation coefficient needs to be set to compensate for the relative error in wind speed data caused by temperature changes.

[0039] Optionally, you can also calculate it using the formula: Calculate the temperature compensation coefficient. Where, The natural constant An exponential function with base .

[0040] In an exemplary embodiment of the present invention, the humidity compensation coefficient at any moment can be determined by the following steps: Step 1: The absolute value of the difference between the dry-wet density ratio at any moment and the moment when the humidity changes most recently is taken as the change in the dry-wet density ratio at any moment, and the absolute value of the difference between the ambient humidity value at any moment and the moment when the humidity changes most recently is taken as the humidity change at any moment; It should be noted that when ambient humidity increases, the number of water vapor molecules in the air increases. These molecules absorb and scatter ultrasonic waves, slowing the propagation of ultrasound waves and thus affecting the accuracy of wind speed measurements by ultrasonic anemometers. Therefore, the present invention utilizes this characteristic to determine the relative error of wind speed data by measuring the difference in the dry-to-wet density ratio at any moment compared to the moment of the most recent humidity change. This allows for an accurate assessment of the impact of humidity changes on wind speed data at each moment.

[0041] It can provide an accurate data basis for the calculation of humidity compensation coefficient.

[0042] For example, any moment can be recorded as , the time when the humidity changes most recently before any moment is recorded as , then Humidity change at each moment ;No. Dry-wet density ratio at the moment : ;No. Dry-wet density ratio at the moment : ; correspondingly, Change in dry-wet density ratio at time Where, 、 Respectively Time and Dry air density at the time; 、 Respectively Time and Moist air density at the moment; The calculation method of the density of dry and wet air is a prior art and will not be described in detail in this embodiment.

[0043] It should be noted that if The ambient humidity at this moment is , then The moment is the first in the temporal sequence Before the moment, and The time interval is the shortest and the ambient humidity value is Different moments.

[0044] Step 2: Calculate the humidity compensation coefficient at any moment. The humidity compensation coefficient is positively correlated with the change in the dry-wet density ratio and the ratio of the reference wind speed under the humidity at any moment, and is negatively correlated with the humidity change.

[0045] Specifically, the humidity compensation coefficient at any moment satisfies the following relationship: ; Where, For the Humidity compensation coefficient at the moment; For the The change in dry-wet density ratio at the moment; For the Humidity change at each moment; For the The theoretical wind speed value at the time humidity. It should be noted that the method for determining the theoretical wind speed value at any location at any humidity is a prior art and will not be described in detail in this embodiment.

[0046] in, It reflects the relative error of wind speed data determined based on the change of dry-wet density ratio; the larger the value, the The relative error of the wind speed data at the moment is large, and when Smaller, and If it is larger, it indicates A slight change in humidity at a given moment will cause a significant change in the wind speed data at that moment, which means that humidity has a greater impact on wind speed data. Therefore, a larger humidity compensation coefficient needs to be set to compensate for the relative error in wind speed data caused by humidity changes.

[0047] Optionally, you can also calculate it using the formula: Calculate the humidity compensation coefficient. Where, The natural constant An exponential function with base .

[0048] In an exemplary embodiment of the present invention, the air pressure compensation coefficient at any moment can be determined by the following steps: Step 1: The absolute value of the difference between the air density at any moment and the moment of the most recent air pressure change is used as the air density change at any moment, and the absolute value of the difference between the ambient air pressure at any moment and the moment of the most recent air pressure change is used as the air pressure change at any moment; It should be noted that changes in air pressure affect air density and compressibility. Specifically, when air pressure rises, air density increases, and ultrasonic wave propagation speed accelerates, thus affecting the wind speed measurement accuracy of ultrasonic anemometers. Therefore, the present invention measures the difference in air density between any given moment and the moment of the most recent air pressure change to determine the relative error in wind speed data under the influence of air pressure. This ensures the accuracy of the relative error and can therefore measure the degree to which air pressure changes at each moment affect wind speed data.

[0049] For example, any moment can be recorded as , the time when the most recent air pressure change before any moment is recorded as , then Air pressure change at any moment ;No. Change in air density at the time of pressure : Where, 、 Respectively Time and Air density at the moment; The calculation method of air density is based on the prior art and will not be described in detail in this embodiment.

[0050] Step 2: Calculate the air pressure compensation coefficient at any moment. The air pressure compensation coefficient is positively correlated with the ratio of the air density change to the reference air density at the air pressure at any moment, and is negatively correlated with the air pressure change.

[0051] Specifically, the air pressure compensation coefficient at any moment satisfies the following relationship: ; Where, For the Atmospheric pressure compensation coefficient at the moment; For the Change in air density at the moment of pressure; For the The change in air pressure at that moment; For the Reference air density at the current pressure; For the The ambient air pressure value at the moment.

[0052] in, It reflects the relative error of wind speed data determined based on the difference in air density. The larger the value, the The relative error of the wind speed data at the moment is large, and when Smaller, If it is larger, it indicates A slight change in air pressure at a given moment will cause a significant change in the wind speed data at that moment, which means that air pressure has a greater impact on wind speed data. Therefore, a larger air pressure compensation coefficient needs to be set to compensate for the relative error in wind speed data caused by air pressure changes.

[0053] Furthermore, after determining the wind speed compensation data, humidity compensation data, and air pressure compensation data at each moment, an environmental compensation model can be constructed and trained to obtain a trained environmental compensation model. It should be noted that the calculation formula for the constructed environmental compensation model of the present invention has been described above and will not be repeated in this embodiment.

[0054] Next, the training process of the constructed environmental compensation model is described in detail: First, within a certain period of time, the wind speed data collected by the resonant ultrasonic anemometer and the ambient temperature, ambient humidity and ambient pressure collected by the sensor are collected at the same sampling frequency, and divided into training set and test set according to a certain ratio, such as 8:2.

[0055] Then, using the training set data, the temperature compensation coefficient, humidity compensation coefficient, and air pressure compensation coefficient in the environmental compensation model are adjusted through the least squares method or other optimization algorithms to minimize the objective function (such as the mean square error) and make the environmental compensation degree output by the model close to the actual value.

[0056] Finally, the model performance is verified using the test set until the objective function converges and a trained environmental compensation model is obtained.

[0057] S3: Use the trained environmental compensation model to compensate the wind speed data collected by the resonant ultrasonic anemometer to obtain the target wind speed at each moment.

[0058] It should be noted that after obtaining the trained environmental compensation model, the trained environmental compensation model can be installed in the resonant ultrasonic anemometer data processing system, and then the wind speed data collected by the resonant ultrasonic anemometer can be input into the data processing system in real time, so as to use the trained environmental compensation model to compensate the input wind speed data, thereby eliminating the influence of environmental data, namely, ambient temperature, ambient humidity and ambient air pressure, and the compensated wind speed data can be recorded as target data for storage or output.

[0059] In an example embodiment of the present invention, when using a trained environmental compensation model to compensate for wind speed data collected by a resonant ultrasonic anemometer, the trained environmental compensation model compensates the wind speed data input into the trained environmental compensation model by multiplying the input wind speed data by the environmental compensation degree at the corresponding moment.

[0060] Specifically, the target wind speed at any moment satisfies the following relationship: ; Where, For the Target wind speed at the moment; For the The wind speed data at the moment is obtained by the resonant ultrasonic anemometer at Measured at all times; For the The degree of environmental compensation at each moment.

[0061] Optionally, the wind speed data measured by the resonant ultrasonic anemometer at each moment may be compensated by using a summation calculation formula, thereby obtaining the target wind speed at the corresponding moment.

[0062] The present invention also provides a resonant ultrasonic anemometer data processing system, which includes a memory and a processor, and a computer program is stored in the memory. The computer program integrates the functions of a resonant ultrasonic anemometer data processing method. When the computer program is executed, the accuracy of wind speed measurement results can be improved through a resonant ultrasonic anemometer data processing method.

[0063] In the description of this specification, "multiple" and "several" mean at least two, such as two, three or more, unless otherwise clearly defined.

[0064] While several embodiments of the present invention have been shown and described herein, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Numerous modifications, variations, and alternatives will occur to those skilled in the art without departing from the concept and spirit of the present invention. It should be understood that various alternatives to the embodiments of the present invention described herein may be employed in practicing the present invention.

Claims

1. A method for processing data of a resonant ultrasonic anemometer, characterized in that: include: Acquire wind speed data collected by a resonant ultrasonic anemometer and environmental data collected by a sensor, wherein the environmental data includes ambient temperature, ambient air pressure and ambient humidity; An environmental compensation model is constructed to compensate the wind speed data collected by the resonant ultrasonic anemometer using the trained environmental compensation model to obtain the target wind speed at each moment; The calculation formula of the environmental compensation model is: ; For the The degree of environmental compensation at each moment; , as well as Respectively The temperature compensation coefficient, humidity compensation coefficient and air pressure compensation coefficient at the moment are used to correct the relative errors of wind speed data caused by temperature changes, humidity changes and air pressure changes respectively; , as well as Respectively The ambient temperature, humidity and pressure at the moment; , as well as Respectively The reference temperature, reference humidity and reference air pressure at the moment; The reference temperature, reference humidity and reference air pressure are the average temperature, average humidity and average air pressure of the sampling location and surrounding locations at the same time.

2. A method for processing data of a resonant ultrasonic anemometer according to claim 1, characterized in that: The method for obtaining the temperature compensation coefficient at any time includes: The absolute value of the difference between the wind speed data at any moment and the moment when the temperature changes most recently is taken as the wind speed change at any moment, and the absolute value of the difference between the ambient temperature value at any moment and the moment when the temperature changes most recently is taken as the temperature change at any moment; The temperature compensation coefficient at any moment is calculated, and the temperature compensation coefficient is positively correlated with the ratio of the wind speed change to the reference wind speed at the temperature at any moment; and negatively correlated with the temperature change.

3. A method for processing data of a resonant ultrasonic anemometer according to claim 2, characterized in that: The temperature compensation coefficient satisfies the following relationship: ； In the formula, For the Temperature compensation coefficient at the moment; For the Temperature change at each moment; For the The wind speed change at each moment; For the Theoretical wind speed value at the current temperature.

4. A method for processing data of a resonant ultrasonic anemometer according to claim 1, characterized in that: The method for obtaining the temperature compensation coefficient at any time includes: The absolute value of the difference between the dry-wet density ratio at any moment and the moment when the humidity changes most recently is taken as the change in the dry-wet density ratio at any moment, and the absolute value of the difference between the ambient humidity value at any moment and the moment when the humidity changes most recently is taken as the change in humidity at any moment; The humidity compensation coefficient at any moment is calculated, and the humidity compensation coefficient is positively correlated with the ratio of the change in the dry-wet density ratio and the reference wind speed under the humidity at any moment, and is negatively correlated with the humidity change.

5. A method for processing data of a resonant ultrasonic anemometer according to claim 4, characterized in that: The humidity compensation coefficient satisfies the following relationship: ； In the formula, For the Humidity compensation coefficient at the moment; For the The change of dry-wet density ratio at the moment; For the Humidity change at each moment; For the Theoretical wind speed value under constant humidity.

6. A method for processing data of a resonant ultrasonic anemometer according to claim 1, characterized in that: The method for obtaining the air pressure compensation coefficient at any time includes: The absolute value of the difference between the air density at any moment and the moment when the air pressure changes most recently is taken as the air density change at any moment, and the absolute value of the difference between the ambient air pressure at any moment and the moment when the air pressure changes most recently is taken as the air pressure change at any moment; The air pressure compensation coefficient at any moment is calculated, and the air pressure compensation coefficient is positively correlated with the ratio of the air density change to the reference air density under the air pressure at any moment, and is negatively correlated with the air pressure change.

7. A method for processing data of a resonant ultrasonic anemometer according to claim 6, characterized in that: The air pressure compensation coefficient satisfies the following relationship: ； In the formula, For the The air pressure compensation coefficient at the moment; For the Change in air density at the moment of pressure; For the The change in air pressure at a given moment; For the The reference air density at the current pressure; For the Ambient air pressure value at the moment.

8. The method for processing data of a resonant ultrasonic anemometer according to claim 1, characterized in that: When the trained environmental compensation model is used to compensate the wind speed data collected by the resonant ultrasonic anemometer, the trained environmental compensation model compensates the wind speed data input into the trained environmental compensation model by multiplying the input wind speed data with the environmental compensation degree at the corresponding moment.

9. The method for processing data of a resonant ultrasonic anemometer according to claim 1, characterized in that: The sampling location, sampling time and sampling frequency of the environmental data and the wind speed data are the same.

10. A resonant ultrasonic anemometer data processing system, characterized in that: The resonant ultrasonic anemometer data processing system comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the resonant ultrasonic anemometer data processing method as described in any one of claims 1 to 9.

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