A data processing method and system for a resonant ultrasonic anemometer

Abstract

The present invention relates to the technical field of data processing. More specifically, the present invention relates to a method and system for processing data of a resonant ultrasonic anemometer. The method includes: obtaining wind speed data collected by the resonant ultrasonic anemometer and environmental data collected by sensors, where the environmental data includes environmental temperature, environmental pressure, and environmental humidity; constructing an environmental compensation model, and correcting the relative error of the wind speed data caused by temperature change, humidity change, and pressure change through the temperature compensation coefficient, humidity compensation coefficient, and pressure compensation coefficient in the environmental compensation model, so as to compensate the wind speed data collected by the resonant ultrasonic anemometer by using the trained environmental compensation model to obtain the target wind speed at each moment. The present invention can improve the accuracy of the wind speed measurement result.

Description

Technical Field

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

[0002] A resonant ultrasonic anemometer is based on the principle of acoustic resonance technology. By emitting high-frequency ultrasonic waves into the air and measuring their propagation time and frequency changes, the wind speed and direction can be determined. This instrument has the advantages of a compact structure, easy implementation 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 will affect the propagation speed of ultrasonic waves, thereby affecting the measurement accuracy of the resonant ultrasonic anemometer. Specifically, when the humidity increases, the number of water vapor molecules in the air increases, which will absorb and scatter ultrasonic waves, slowing down their propagation speed; when the air pressure rises, the air density increases, and the ultrasonic wave propagation speed speeds up; when the temperature rises, the thermal motion of air molecules will be intensified, changing the air density and elastic modulus, which also leads to an increase in the ultrasonic wave propagation speed. As a result, there are large deviations in the wind speed data measured by the resonant ultrasonic anemometer. Therefore, it is urgent to find a way to eliminate the influence of environmental factors.

[0004] In related technologies, error compensation is usually used to correct the collected wind speed data. However, this method determines the error based on the difference between the measured wind speed values and the predicted wind speed values at each moment, and cannot directly consider the influence of environmental factors on the measurement results, that is, it cannot accurately reflect the influence of changes in temperature, humidity, etc. on the ultrasonic wave propagation speed. Therefore, it is difficult to accurately eliminate the deviation caused by environmental factors only through error compensation, resulting in the compensated wind speed data may still have errors, thus 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 data processing method and system for a resonant ultrasonic anemometer.

[0006] According to a first aspect of the present invention, there is provided a data processing method for a resonant ultrasonic anemometer, including:

[0007] Obtaining the wind speed data collected by the resonant ultrasonic anemometer and the environmental data collected by the sensor, where the environmental data includes environmental temperature, environmental air pressure, and environmental humidity;

[0008] Constructing an environmental compensation model 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;

[0009] The calculation formula of the environmental compensation model is as follows: ; is the environmental compensation degree at the th moment; , and are the temperature compensation coefficient, humidity compensation coefficient and air pressure compensation coefficient at the th moment respectively, which are used to correct the relative error of the wind speed data caused by temperature change, humidity change and air pressure change respectively; , and are the environmental temperature value, environmental humidity value and environmental air pressure value at the th moment respectively; , and are the reference temperature, reference humidity and reference air pressure at the th moment respectively;

[0010] Among them, the reference temperature, reference humidity and reference air pressure are the average temperature, average humidity and average air pressure at the sampling location and the surrounding locations at the same moment.

[0011] By constructing the environmental compensation model, the present invention can correct the relative error of the wind speed data caused by temperature change, humidity change and air pressure change based on the temperature compensation coefficient, humidity compensation coefficient and air pressure compensation coefficient at each moment, so as to ensure the accuracy of the environmental compensation degree at each moment obtained, and make the wind speed data collected by the resonant ultrasonic anemometer compensated by using the trained environmental compensation model can eliminate the influence of environmental factors, thereby improving the accuracy of the obtained wind speed data.

[0012] Preferably, the method for obtaining the temperature compensation coefficient at any moment includes:

[0013] Taking the absolute value of the difference between the wind speed data at any moment and the wind speed data at the moment when the temperature changed last time before as the wind speed change amount at that any moment, and taking the absolute value of the difference between the environmental temperature value at that any moment and the environmental temperature value at the moment when the temperature changed last time before as the temperature change amount at that any moment;

[0014] Calculating the temperature compensation coefficient at that any moment, the temperature compensation coefficient is positively correlated with the ratio of the wind speed change amount to the reference wind speed at the temperature of that any moment; and negatively correlated with the temperature change amount.

[0015] Preferably, the temperature compensation coefficient satisfies the following relational expression:

[0016] ;

[0017] In the formula, is the Temperature compensation coefficient at a moment; For the Temperature change at a moment; For the Wind speed change at a moment; For the Theoretical wind speed value at the temperature of a moment.

[0018] The present invention can obtain an accurate temperature compensation coefficient based on the influence degree of temperature on wind speed.

[0019] Preferably, the method for obtaining the temperature compensation coefficient at any moment includes:

[0020] Taking the absolute value of the difference between the dry-wet density ratio at any moment and the dry-wet density ratio at the moment when the humidity changed most recently before as the change amount of the dry-wet density ratio at any moment, and taking the absolute value of the difference between the ambient humidity value at any moment and the ambient humidity value at the moment when the humidity changed most recently before as the humidity change amount at any moment;

[0021] Calculating the humidity compensation coefficient at any moment, and the humidity compensation coefficient is positively correlated with the ratio of the change amount of the dry-wet density ratio and the reference wind speed at the humidity at any moment, and is negatively correlated with the humidity change amount.

[0022] The present invention utilizes the characteristic that the change of ambient humidity will cause the change of water vapor molecules in the air, thus causing the change of wind speed data. By calculating the difference of the dry-wet air density ratio, it can accurately measure the relative error of the wind speed data caused by the humidity change, and further ensure the accuracy of the determined humidity compensation coefficient.

[0023] Preferably, the humidity compensation coefficient satisfies the following relational expression:

[0024] ;

[0025] In the formula, For the Humidity compensation coefficient at a moment; For the Change amount of the dry-wet density ratio at a moment; For the Humidity change amount at a moment; For the Theoretical wind speed value at the humidity of a moment.

[0026] Preferably, the method for obtaining the air pressure compensation coefficient at any moment includes:

[0027] The absolute value of the difference in air density between any moment and the moment of the most recent previous change in air pressure is taken as the air density change amount at that any moment, and the absolute value of the difference in ambient air pressure value between that any moment and the moment of the most recent previous change in air pressure is taken as the air pressure change amount at that any moment;

[0028] Calculate the air pressure compensation coefficient at that any moment. The air pressure compensation coefficient is positively correlated with the ratio of the air density change amount to the reference air density at the air pressure of that any moment, and is negatively correlated with the air pressure change amount.

[0029] The present invention utilizes the characteristic that a change in air pressure will affect the density and compressibility of air, thereby causing a change in wind speed data. By calculating the density change amount, the relative error of the wind speed data caused by the change in air pressure can be accurately measured, thus ensuring the accuracy of the air pressure compensation coefficient.

[0030] Preferably, the air pressure compensation coefficient satisfies the following relationship:

[0031] ;

[0032] In the formula, is the air pressure compensation coefficient at the moment; is the air density change amount at the air pressure at the moment; is the air pressure change amount at the moment; is the reference air density at the air pressure at the moment; is the ambient air pressure value at the moment.

[0033] Preferably, when compensating the wind speed data collected by the resonant ultrasonic anemometer using the trained environmental compensation model, 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.

[0034] Preferably, the environmental data and the wind speed data are the same in terms of the sampling location, sampling moment, and sampling frequency.

[0035] The present invention can ensure the consistency between the environmental data and the wind speed data.

[0036] According to the second aspect of the present invention, a resonant ultrasonic anemometer data processing system is provided. The system includes a memory and a processor. A computer program is stored on the memory, and the processor executes the computer program to implement the steps of the first aspect of the present invention.

[0037] The present invention has the following effects:

[0038] 1. The present invention constructs an environmental compensation model based on the temperature compensation coefficient, humidity compensation coefficient, and air pressure compensation coefficient, thereby reducing the measurement error of wind speed data caused by environmental factors, making the measurement result closer to the true value, and improving the accuracy of wind speed data.

[0039] 2. Since the changes in environmental factors are often unpredictable, the measured wind speed data may have large fluctuations. However, the present invention compensates for the measurement error caused by environmental factors, which can reduce such fluctuations, making the wind speed data more stable and reliable, and thus improving the accuracy of the obtained wind speed data. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] By referring to the following detailed description with reference to the accompanying drawings, the above and other objects, features, and advantages of the exemplary embodiments of the present invention will become readily understood. In the drawings, several embodiments of the present invention are shown by way of example and not limitation, and like or corresponding reference numerals represent like or corresponding parts, wherein:

[0041] Figure 1 is a schematic flow chart of the steps of a data processing method for a resonant ultrasonic anemometer according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0043] The following will describe the specific embodiments of the present invention in detail with reference to the accompanying drawings.

[0044] Referring to Figure 1 , a data processing method for a resonant ultrasonic anemometer includes steps S1 - S3, specifically as follows:

[0045] S1: Obtain the wind speed data collected by the resonant ultrasonic anemometer and the environmental data collected by the sensor, where the environmental data includes environmental temperature, environmental air pressure, and environmental humidity.

[0046] In an exemplary embodiment of the present invention, the sensor includes a temperature sensor, a pressure sensor, and a humidity sensor.

[0047] Specifically, an ambient temperature can be collected by a temperature sensor, an ambient humidity can be collected by a barometric pressure sensor, and an ambient humidity can be collected by a humidity sensor. There are no particular limitations on the types of the selected temperature sensor, barometric pressure sensor, and humidity sensor in this embodiment.

[0048] It should be noted that in order to ensure the consistency and accuracy of data, the sampling locations, sampling frequencies, and sampling times of the wind speed data and the ambient data are the same.

[0049] S2: Construct an ambient compensation model.

[0050] Specifically, the calculation formula of the constructed ambient compensation model satisfies the following relationship:

[0051] ;

[0052] In the formula, is the ambient compensation degree at the th moment; , and are the temperature compensation coefficient, humidity compensation coefficient, and barometric pressure compensation coefficient at the th moment respectively, which are used to correct the relative error of the wind speed data caused by temperature change, humidity change, and barometric pressure change; , and are the ambient temperature value, ambient humidity value, and ambient barometric pressure value at the th moment respectively; , and are the reference temperature, reference humidity, and reference barometric pressure at the th moment respectively.

[0053] Among them, the temperature compensation coefficient refers to the coefficient used to compensate the relative error of the wind speed data caused by temperature change; the humidity compensation coefficient refers to the coefficient used to compensate the relative error of the wind speed data caused by humidity change; the barometric pressure compensation coefficient refers to the coefficient used to compensate the relative error of the wind speed data caused by barometric pressure change.

[0054] The reference temperature refers to the average temperature at any moment at the sampling location and the surrounding locations; the reference humidity refers to the average humidity at any moment at the sampling location and the surrounding locations; the reference barometric pressure refers to the average barometric pressure at any moment at the sampling location and the surrounding locations. It should be noted that in the present invention, multiple locations, such as 8 locations, selected in ascending order of the distance from the sampling location are used as the surrounding locations of the sampling location.

[0055] In an exemplary embodiment of the present invention, the determination of the temperature compensation coefficient at any moment can be achieved through the following steps:

[0056] Step 1: Take the absolute value of the difference between the wind speed data at any moment and the wind speed data at the most recent moment before that when the temperature changed as the wind speed change amount at that any moment, and take the absolute value of the difference between the ambient temperature value at that any moment and the ambient temperature value at the most recent moment before that when the temperature changed as the temperature change amount at that any moment;

[0057] Exemplarily, any moment can be denoted as , and the most recent moment before that any moment when the temperature changed can be denoted as , then the wind speed change amount at the th moment; the temperature change amount at the th moment.

[0058] It should be noted that if the ambient temperature value at the th moment is , then the th moment is the moment that is before the th moment in time sequence, has the shortest time interval with the th moment, and has a different ambient temperature value from .

[0059] Step 2: Calculate the temperature compensation coefficient at that any moment. The temperature compensation coefficient is positively correlated with the ratio of the wind speed change amount to the reference wind speed at that any moment's temperature; and is negatively correlated with the temperature change amount.

[0060] Specifically, the temperature compensation coefficient at any moment satisfies the following relational expression:

[0061] ;

[0062] In the formula, is the temperature compensation coefficient at the th moment; is the temperature change amount at the th moment; is the wind speed change amount at the th moment; is the theoretical wind speed value at the temperature at the th moment. It should be noted that the determination method of the theoretical wind speed value at any location at any temperature is prior art, and this embodiment will not elaborate here.

[0063] Among them, reflects the relative error of the wind speed data determined based on the change amount of the wind speed data. The larger this value is, the larger the relative error of the wind speed data at the th moment. And when is smaller and is larger, it indicates that at the A slight change in the temperature at a certain moment will cause a significant change in the wind speed data at that moment, which further indicates that the temperature has a greater impact on the wind speed data. Therefore, a relatively large temperature compensation coefficient needs to be set to compensate for the relative error of the wind speed data caused by temperature changes.

[0064] Optionally, the temperature compensation coefficient can also be calculated through the calculation formula: In the formula, is the exponential function with the natural constant as the base.

[0065] In an exemplary embodiment of the present invention, the determination of the humidity compensation coefficient at any moment can be achieved through the following steps:

[0066] Step 1: Take the absolute value of the difference between the dry-wet density ratio at any moment and the dry-wet density ratio at the most recent moment when the humidity changed previously as the change amount of the dry-wet density ratio at that any moment, and take the absolute value of the difference between the environmental humidity value at any moment and the environmental humidity value at the most recent moment when the humidity changed previously as the humidity change amount at that any moment;

[0067] It should be noted that when the environmental humidity increases, the number of water vapor molecules in the air increases, and these molecules will absorb and scatter ultrasonic waves, resulting in a slowdown in the propagation speed of ultrasonic waves, thereby affecting the accuracy of the wind speed measured by the ultrasonic anemometer. Therefore, the present invention utilizes this feature to determine the relative error of the wind speed data by measuring the difference in the dry-wet density ratio between any moment and the most recent moment when the humidity changed previously, so as to accurately measure the influence degree of the humidity change at each moment on the wind speed data.

[0068] It can provide an accurate data basis for the calculation of the humidity compensation coefficient.

[0069] Exemplarily, any moment can be denoted as and the most recent moment when the humidity changed before that any moment can be denoted as , then the humidity change amount at the th moment; the dry-wet density ratio at the th moment: ; the dry-wet density ratio at the th moment: ; correspondingly, the change amount of the dry-wet density ratio at the th moment; in the formula, , are the dry air densities at the th moment and the th moment respectively; , are the dry air densities at the the moment and the density of moist air at the is the absolute value symbol. The calculation methods of the dry and moist air densities are prior arts and will not be elaborated in this embodiment.

[0070] It should be noted that if the environmental humidity value at the moment is , then the moment is the moment that is before the moment in time sequence, has the shortest time interval with the moment, and has a different environmental humidity value from the moment.

[0071] Step 2: Calculate the humidity compensation coefficient at any of these moments. The humidity compensation coefficient is positively correlated with the ratio of the change in the dry-wet density ratio to the reference wind speed at the humidity of any of these moments, and is negatively correlated with the humidity change.

[0072] Specifically, the humidity compensation coefficient at any moment satisfies the following relationship:

[0073] ;

[0074] In the formula, is the humidity compensation coefficient at the moment; is the change in the dry-wet density ratio at the moment; is the humidity change at the moment; is the theoretical wind speed value at the humidity of the moment. It should be noted that the determination method of the theoretical wind speed value at any location and any humidity is a prior art and will not be elaborated in this embodiment.

[0075] Among them, reflects the relative error of the wind speed data determined based on the change in the dry-wet density ratio; the larger this value is, the greater the relative error of the wind speed data at the moment. And when is smaller, while is larger, it indicates that a slight change in the humidity at the moment will cause a significant change in the wind speed data at this moment, and further indicates that the influence degree of humidity on the wind speed data is larger. Therefore, a larger humidity compensation coefficient needs to be set to compensate for the relative error of the wind speed data caused by humidity change.

[0076] Optionally, the humidity compensation coefficient can also be calculated by the formula: where, is the natural constant The exponential function with a base of

[0077] In an exemplary embodiment of the present invention, the determination of the air pressure compensation coefficient at any moment can be achieved through the following steps:

[0078] Step 1: Take the absolute value of the difference in air density between any moment and the moment when the air pressure last changed previously as the air density change amount at that any moment, and take the absolute value of the difference in ambient air pressure values between any moment and the moment when the air pressure last changed previously as the air pressure change amount at that any moment;

[0079] It should be noted that the change in air pressure affects air density and compressibility. Specifically, when the air pressure increases, the air density increases and the ultrasonic wave propagation speed accelerates, thereby affecting the wind speed measurement accuracy of the ultrasonic anemometer. Therefore, the present invention determines the relative error of the wind speed data affected by air pressure by measuring the difference in air density between any moment and the moment when the air pressure last changed previously, ensuring the accuracy of the relative error, and further can measure the influence degree of the air pressure change at each moment on the wind speed data.

[0080] Exemplarily, any moment can be denoted as and the moment when the air pressure last changed previously before that any moment can be denoted as , then the air pressure change amount at the th moment; the air density change amount under the air pressure at the th moment: ; in the formula, , are the air densities at the th moment and the th moment respectively; is the absolute value symbol. Among them, the calculation method of air density is prior art and will not be elaborated in detail in this embodiment.

[0081] Step 2: Calculate the air pressure compensation coefficient at that any moment. The air pressure compensation coefficient is positively correlated with the ratio of the air density change amount and the reference air density under the air pressure at that any moment, and is negatively correlated with the air pressure change amount.

[0082] Specifically, the air pressure compensation coefficient at any moment satisfies the following relational expression:

[0083] ;

[0084] In the formula, is the air pressure compensation coefficient at the th moment; is the air density change amount under the air pressure at the th moment; is the air pressure change at the th moment; is the reference air density at the air pressure at the th moment; is the ambient air pressure value at the th moment.

[0085] Among them, reflects the relative error of the wind speed data determined based on the difference in air density. The larger this value, the greater the relative error of the wind speed data at the th moment. And when is smaller and is larger, it indicates that the slight change in the air pressure at the th moment will cause a significant change in the wind speed data at this moment, which further indicates that the influence degree of air pressure on the wind speed data is larger. Therefore, it is necessary to set a larger air pressure compensation coefficient to compensate for the relative error of the wind speed data caused by the air pressure change.

[0086] 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 the constructed environmental compensation model can be trained to obtain a trained environmental compensation model. It should be noted that the calculation formula of the constructed environmental compensation model of the present invention has been described above, and will not be elaborated in this embodiment.

[0087] Next, the training process of the constructed environmental compensation model will be described in detail:

[0088] First, within a certain time period, the wind speed data collected by the resonant ultrasonic anemometer and the environmental temperature, environmental humidity, and environmental air pressure collected by the sensor are collected at the same sampling frequency, and are divided into a training set and a test set according to a certain ratio, such as 8:2.

[0089] 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.

[0090] Finally, the model performance is verified with the test set until the objective function converges to obtain a trained environmental compensation model.

[0091] S3: 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.

[0092] It should be noted that after obtaining the trained environmental compensation model, the trained environmental compensation model can be installed in the data processing system of the resonant ultrasonic anemometer, 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, that is, environmental temperature, environmental humidity and environmental air pressure, and recording the compensated wind speed data as target data for storage or output.

[0093] In an exemplary embodiment of the present invention, when using the trained environmental compensation model 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 by the environmental compensation degree at the corresponding moment.

[0094] Specifically, the target wind speed at any moment satisfies the following relational expression:

[0095] ;

[0096] In the formula, is the target wind speed at the th moment; is the wind speed data at the th moment, which is measured by the resonant ultrasonic anemometer at the th moment; is the environmental compensation degree at the th moment.

[0097] Optionally, the wind speed data measured by the resonant ultrasonic anemometer at each moment can also be compensated through a summation calculation formula, so as to obtain the target wind speed at the corresponding moment.

[0098] The present invention also provides a data processing system for a resonant ultrasonic anemometer. The system includes a memory and a processor, and a computer program is stored on the memory. The computer program integrates the function of a data processing method for a resonant ultrasonic anemometer. When the computer program is executed, the accuracy of the wind speed measurement result can be improved through a data processing method for a resonant ultrasonic anemometer.

[0099] In the description of this specification, the meanings of "a plurality of" and "several" are at least two, such as two, three or more, etc., unless otherwise clearly and specifically defined.

[0100] Although this specification has shown and described multiple embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will think of many changes, alterations, and alternative ways without departing from the spirit and scope of the present invention. It should be understood that various alternatives to the embodiments of the present invention described herein may be employed in the practice of the present invention.

Claims

1. A data processing method for a resonant ultrasonic anemometer, characterized in that, Including: Obtain the wind speed data collected by a resonant ultrasonic anemometer and the environmental data collected by sensors, where the environmental data includes environmental temperature, environmental air pressure, and environmental humidity; Construct an environmental compensation model 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; when compensating the wind speed data collected by the resonant ultrasonic anemometer using the trained environmental compensation model, 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; The calculation formula of the environmental compensation model is as follows: ; is the environmental compensation degree at the th moment; , and are the temperature compensation coefficient, humidity compensation coefficient and air pressure compensation coefficient at the th moment respectively, which are used to correct the relative error of wind speed data caused by temperature change, humidity change and air pressure change; , and are the environmental temperature value, environmental humidity value and environmental air pressure value at the th moment respectively; , and are the reference temperature, reference humidity and reference air pressure at the th moment respectively; The method for obtaining the temperature compensation coefficient at any moment includes: Take the absolute value of the difference between the wind speed data at any moment and the wind speed data at the most recent moment when the temperature changed before that moment as the wind speed change amount at that any moment, and take the absolute value of the difference between the environmental temperature value at that any moment and the environmental temperature value at the most recent moment when the temperature changed before that moment as the temperature change amount at that any moment; Calculate the temperature compensation coefficient at that any moment, where the temperature compensation coefficient is positively correlated with the ratio of the wind speed change amount to the reference wind speed at the temperature at that any moment; and is negatively correlated with the temperature change amount; The method for obtaining the temperature compensation coefficient at any moment includes: Take the absolute value of the difference between the dry-wet density ratio at any moment and the dry-wet density ratio at the most recent moment when the humidity changed before that moment as the change amount of the dry-wet density ratio at that any moment, and take the absolute value of the difference between the environmental humidity value at that any moment and the environmental humidity value at the most recent moment when the humidity changed before that moment as the humidity change amount at that any moment; Calculate the humidity compensation coefficient at that any moment, where the humidity compensation coefficient is positively correlated with the ratio of the change amount of the dry-wet density ratio to the reference wind speed at the humidity at that any moment, and is negatively correlated with the humidity change amount; The method for obtaining the air pressure compensation coefficient at any moment includes: Take the absolute value of the difference between the air density at any moment and the air density at the most recent moment when the air pressure changed before that moment as the air density change amount at that any moment, and take the absolute value of the difference between the environmental air pressure value at that any moment and the environmental air pressure value at the most recent moment when the air pressure changed before that moment as the air pressure change amount at that any moment; Calculate the air pressure compensation coefficient at that any moment, where the air pressure compensation coefficient is positively correlated with the ratio of the air density change amount to the reference air density at the air pressure at that any moment, and is negatively correlated with the air pressure change amount; Among them, the reference temperature, reference humidity, and reference air pressure are the average temperature, average humidity, and average air pressure at the sampling location and surrounding locations at the same moment.

2. The data processing method of a resonant ultrasonic anemometer according to claim 1, characterized in that, The temperature compensation coefficient satisfies the following relational expression: ； In the formula, is the temperature compensation coefficient at the th moment; is the temperature change at the th moment; is the wind speed change at the th moment; is the theoretical wind speed value at the temperature at the th moment.

3. The data processing method of a resonant ultrasonic anemometer according to claim 1, characterized in that, The humidity compensation coefficient satisfies the following relational expression: ； Wherein, is the humidity compensation coefficient at the th moment; is the change amount of the dry-wet density ratio at the th moment; is the humidity change amount at the th moment; is the theoretical wind speed value at the humidity at the th moment.

4. A data processing method for a resonant ultrasonic anemometer according to claim 1, characterized in that, The air pressure compensation coefficient satisfies the following relational expression: ； In the formula, is the air pressure compensation coefficient at the th moment; is the change in air density at the air pressure at the th moment; is the change in air pressure at the th moment; is the reference air density at the air pressure at the th moment; is the ambient air pressure value at the th moment.

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

6. A data processing system for a resonant ultrasonic anemometer, characterized in that, The resonant ultrasonic anemometer data processing system includes a memory and a processor, and a computer program is stored on the memory, and the processor executes the computer program to implement the steps of the resonant ultrasonic anemometer data processing method according to any one of claims 1-5.

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