A wind measurement method and device for an intelligent wind measurement station

Abstract

The present invention relates to the field of intelligent wind measurement technology, and specifically to a wind measurement method and device for an intelligent wind measurement station, the method comprising: installing an infrared laser emitting array and an infrared laser receiving array on both sides of the wind duct of the wind measurement station; emitting an infrared laser beam to the infrared laser receiving array through the infrared laser emitting array to form a laser plane covering the entire wind duct section, and causing the laser to change when the wind passes through the laser plane; the infrared laser receiving array collects the optical parameters of the laser changes in real time and transmits them to a data processing module; the data processing module calculates the air volume passing through the wind duct section based on the received optical parameters based on a set mathematical model; the calculated air volume is displayed in real time through a display screen and stored in a local storage device. The present invention covers the entire wind duct section of the wind measurement station with infrared lasers, can fully perceive wind field information, avoids errors caused by local measurements, and makes the wind volume measurement results more accurate and reliable.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent wind measurement, and in particular to a wind measurement method and a device of an intelligent wind measurement station. Background Art

[0002] In current wind measurement stations, the air volume passing through the wind duct is generally measured by combining manual timed measurement and wind sensors. However, the detection of existing wind sensors is often limited to one point and cannot cover the entire cross-section of the wind duct. Since the flow of wind in the wind duct is not evenly distributed, it is difficult to obtain accurate wind volume data through single-point detection alone. This will lead to large deviations in measurement data in many fields that rely on precise wind volume measurement, such as meteorological monitoring, ventilation engineering, and wind power generation, which will affect the accuracy and reliability of related decisions. For example, in ventilation engineering, inaccurate wind volume measurement will lead to unreasonable design of the ventilation system, failure to meet indoor air quality requirements or energy waste; in the field of wind power generation, inaccurate assessment of wind conditions will affect the site selection, power prediction, and operating efficiency of the wind turbine. Therefore, a smart wind measurement station method that can accurately measure the wind volume of the entire cross-section is needed. Summary of the invention

[0003] In view of the above-mentioned technical deficiencies, the present invention provides a wind measurement method and device for an intelligent wind measurement station.

[0004] The present invention is achieved through the following technical solutions:

[0005] A method for measuring wind at an intelligent wind measuring station is provided, the method comprising the following steps:

[0006] Step S10: installing an infrared laser emitting array and an infrared laser receiving array at corresponding positions on both sides of the target section of the wind measuring station to ensure that the infrared laser can completely and evenly cover the entire section of the wind duct;

[0007] Step S20: an infrared laser beam is emitted from the infrared laser emitting array to the infrared laser receiving array to form a laser plane covering the entire wind duct section. When wind passes through the laser plane, the laser is refracted, scattered and absorbed, resulting in changes in optical parameters of the infrared laser received by the infrared laser receiving array.

[0008] Step S30: The infrared laser receiving array uses a high-precision sensor to monitor the changes of these optical parameters in real time and accurately, collects the optical parameter data of the infrared laser in real time and transmits it to the data processing module;

[0009] Step S40: after receiving the data, the data processing module establishes a mathematical model between the laser optical parameter data and the wind speed, substitutes the received optical parameter data into the mathematical model to obtain the wind speed distribution, and calculates the air volume passing through the wind duct section according to the obtained wind speed distribution;

[0010] Step S50: The calculated air volume is displayed on the screen in real time through the data transmission interface and classified and stored using the storage module according to the time series, air duct position and other information for subsequent query, statistical analysis and long-term trend research;

[0011] Wherein, in step S10, the infrared laser emitting array is composed of a set number of infrared laser emitters with independent adjustment functions of emission power and angle, and the infrared laser emitters are configured and optimized according to the shape and size of the target section so that the emitted infrared laser is evenly distributed over the entire target section; the infrared laser receiving array is composed of a set number of highly sensitive photoelectric sensors for accurately collecting changes in laser optical parameters at different positions when wind passes through the target section;

[0012] Wherein, the step S20 transmits an infrared laser beam to an infrared laser receiving array through an infrared laser emitting array. During the laser emission process, a calibration device is used to calibrate the emission angle, intensity and coverage parameters of the laser to ensure the accuracy and stability of the laser plane, thus laying a foundation for subsequent precise measurement;

[0013] Among them, in step S40, after receiving the data, the data processing module removes noise and outliers from the received optical parameter data before establishing a mathematical model between the laser optical parameter data and the wind speed, thereby improving the quality of the optical parameter data and ensuring the accuracy of the calculation results.

[0014] Preferably, in step S30, the infrared laser receiving array collects optical parameter data in real time including intensity data, phase data and frequency data of the infrared laser.

[0015] Preferably, the step of removing noise and outliers from the received optical parameter data before establishing a mathematical model between the laser optical parameter data and the wind speed after the data processing module receives the data in step S40 includes:

[0016] Noise removal: A low-pass filter is used to remove noise from the infrared laser intensity data. The intensity data is converted from the time domain to the frequency domain through discrete Fourier transform. The low-pass cutoff frequency is set according to the frequency domain characteristics of the noise. After filtering out the part higher than the set cutoff frequency, the data is converted from the frequency domain back to the time domain through inverse discrete Fourier transform to obtain infrared laser intensity data with noise removed. A high-pass filter is used to remove noise from the infrared laser phase data. The high-pass cutoff frequency is set according to the sampling frequency and noise characteristics of the phase data. The part lower than the set cutoff frequency is filtered out to obtain infrared laser phase data with noise removed. A minimum mean square adaptive filter is used to adjust the filter parameters in real time according to the frequency data of the infrared laser, filter out the noise in the infrared laser frequency data, and minimize the mean square error of the output infrared laser frequency.

[0017] Outlier removal: For the intensity data, phase data and frequency data of the infrared laser, the outlier removal method based on statistical laws is adopted to calculate the mean μ and variance σ of the intensity data, phase data and frequency data, and mark the data greater than or equal to μ+3σ and less than or equal to μ-3σ as outliers and remove them, so as to obtain the intensity data, phase data and frequency data of the infrared laser after removing the outliers.

[0018] Preferably, establishing a mathematical model between laser optical parameter data and wind speed in step S40 includes:

[0019] Relationship model between laser intensity change and wind speed: A relationship model between laser intensity change and wind speed is established. Experiments are conducted under different wind speed conditions, the laser emission intensity I and incident intensity I0 are recorded, and the length of the wind duct L is measured. According to Beer-Lambert's law, as shown in formula (1):

[0020] I=I0e -αL (1)

[0021] Where α is the laser intensity attenuation coefficient, e is the exponential function, and the laser intensity attenuation coefficient α under different wind speeds is calculated to obtain the relationship model between the attenuation coefficient and the wind speed, as shown in formula (2):

[0022] v(x,y)=k0·α+b0 (2)

[0023] Where v(x, y) is the wind speed distribution on the wind duct section, k0 and b0 are coefficients, and the values ​​of k0 and b0 are determined according to the laser intensity attenuation coefficient α calculated at different wind speeds; the laser intensity attenuation coefficient is calculated according to the laser emission intensity of the infrared laser emitting array, the infrared laser incident intensity actually collected by the infrared laser receiving array and the actual wind duct length, and the obtained laser intensity attenuation coefficient is substituted into formula (2) to obtain the corresponding wind speed distribution, and the corresponding wind volume is calculated according to the wind volume calculation formula, as shown in formula (3):

[0024] Q = ∫ A v(x,y)·dA (3)

[0025] Among them, Q is the air volume, A is the area of ​​the wind duct section, v(x,y) is the wind speed distribution on the wind duct section, (x,y) is a point on the wind duct section, and the integral is the integral of the wind speed distribution v(x,y) on the entire wind duct section;

[0026] Relationship model between laser phase change and wind speed: The relationship between laser phase change and wind speed is shown in formula (4):

[0027] φ=k1·v+b1 (4)

[0028] Among them, φ is the laser phase change data, k1 and b1 are coefficients, and v is the wind speed. By measuring the corresponding laser phase change at different wind speeds, the values ​​of k1 and b1 are determined using the linear regression method; according to the laser phase change data actually collected by the infrared laser receiving array and the determined values ​​of k1 and b1, the corresponding wind speed is calculated and substituted into formula (3) to obtain the corresponding wind volume;

[0029] Relationship model between laser frequency change and wind speed: The relationship between laser frequency change and wind speed is shown in formula (5):

[0030] F=k2·v+b2 (5)

[0031] Among them, F is the frequency change data, k2 and b2 are coefficients, and v is the wind speed. By measuring the change of the corresponding laser frequency under different wind speeds, the values ​​of k2 and b2 are determined using the linear regression method; according to the laser frequency change data actually collected by the infrared laser receiving array and the determined values ​​of k2 and b2, the corresponding wind speed is calculated and substituted into formula (3) to obtain the corresponding wind volume.

[0032] Preferably, in step S40, the air volume passing through the air duct section is calculated according to the obtained wind speed distribution, and three corresponding wind speeds v1, v2 and v3 are obtained by the established relationship model between laser phase change and wind speed, the relationship model between laser phase change and wind speed and the relationship model between laser frequency change and wind speed. The three corresponding air volumes Q1, Q2 and Q3 are respectively substituted into formula (3), and the average value is taken as the air volume Q passing through the air duct. d As shown in formula (6):

[0033]

[0034] In addition, to achieve the above-mentioned purpose, the present invention also proposes a wind measuring device for an intelligent wind measuring station, the wind measuring device for an intelligent wind measuring station comprising:

[0035] Infrared array module: used to install infrared laser emitting array and infrared laser receiving array at corresponding positions on both sides of the target section of the wind measuring station;

[0036] Infrared array laser coverage module: used to transmit infrared laser beams from the infrared laser transmitting array to the infrared laser receiving array to form a laser plane covering the entire wind duct section. When the wind passes through the laser plane, the laser is refracted, scattered and absorbed, resulting in changes in the optical parameters of the infrared laser received by the infrared laser receiving array.

[0037] Infrared laser parameter acquisition module: used for the infrared laser receiving array to collect optical parameter data of infrared laser in real time and transmit it to the data processing module;

[0038] Data processing module: used to establish a mathematical model between laser optical parameter data and wind speed after receiving data, substitute the received optical parameter data into the mathematical model to obtain the wind speed distribution, and calculate the air volume passing through the wind duct section according to the obtained wind speed distribution;

[0039] Display and storage module: used to display the calculated air volume on the screen in real time through the data transmission interface and use the storage module to store data;

[0040] The infrared laser emitting array in the infrared array module is composed of a set number of infrared laser emitters with independent adjustment functions of emission power and angle, and the infrared laser emitters are configured and optimized according to the shape and size of the target section so that the emitted infrared laser is evenly distributed over the entire target section; the infrared laser receiving array is composed of a set number of highly sensitive photoelectric sensors, which are used to accurately collect changes in laser optical parameters at different positions when wind passes through the target section;

[0041] The infrared array laser coverage module transmits an infrared laser beam to an infrared laser receiving array through an infrared laser transmitting array. During the laser emission process, a calibration device is used to calibrate the laser emission angle, intensity and coverage parameters to ensure the accuracy and stability of the laser plane, thus laying a foundation for subsequent precise measurement.

[0042] After receiving the data, the data processing module in the data processing module removes noise and abnormal values ​​from the received optical parameter data before establishing a mathematical model between the laser optical parameter data and the wind speed, thereby improving the quality of the optical parameter data and ensuring the accuracy of the calculation results.

[0043] In addition, to achieve the above-mentioned purpose, the present invention also proposes a wind measurement device for an intelligent wind measurement station, which includes: a memory, a processor, and programs such as an intelligent wind measurement algorithm for a wind measurement station stored in the memory and executable on the processor, wherein the programs such as the wind measurement algorithm for a wind measurement station are steps for implementing the wind measurement method for an intelligent wind measurement station as described above.

[0044] In addition, to achieve the above objectives, the present invention also provides a computer program product, which includes programs such as an intelligent wind measurement station wind measurement algorithm. When the intelligent wind measurement station wind measurement algorithm and other programs are executed by a processor, the intelligent wind measurement station wind measurement method described above is implemented.

[0045] The advantages and effects of the present invention are:

[0046] The present invention proposes a wind measurement method and device for an intelligent wind measuring station, which uses an infrared laser beam to cover the entire wind duct section, can fully perceive the wind field information, avoid errors caused by local measurements, and make the wind volume measurement results more accurate and reliable; in addition, multiple parameters are used to calculate the wind volume, reducing the impact of errors and limitations of single parameter measurement on the measurement results, thereby significantly improving the accuracy of wind volume calculation, and providing technical support for fields such as meteorological research that have high requirements for wind condition data accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 The present invention is a flow chart of a wind measurement method of an intelligent wind measurement station.

[0049] Figure 2 The present invention is a schematic diagram of the structure of a wind measuring device of an intelligent wind measuring station.

[0050] Figure 3 The present invention is a schematic block diagram of the structure of a wind measuring electronic device for an intelligent wind measuring station. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] The present invention provides a method for measuring wind at an intelligent wind measuring station, such as Figure 1 As shown, the following steps are included:

[0053] Step S10: An infrared laser emitting array and an infrared laser receiving array are respectively installed at corresponding positions on both sides of the target section of the wind measuring station to ensure that the infrared laser can completely and evenly cover the entire section of the wind duct.

[0054] Among them, the infrared laser emitting array is composed of a set number of infrared laser emitters with independent adjustment of emission power and angle, and the configuration of the infrared laser emitters is optimized according to the shape and size of the target section so that the emitted infrared laser is evenly distributed over the entire target section; the infrared laser receiving array is composed of a set number of highly sensitive photoelectric sensors, which are used to accurately collect changes in laser optical parameters at different positions when the wind passes through the target section.

[0055] Step S20: An infrared laser beam is emitted from the infrared laser emitting array to the infrared laser receiving array to form a laser plane covering the entire wind duct section. When wind passes through the laser plane, the laser is refracted, scattered and absorbed, resulting in changes in the optical parameters of the infrared laser received by the infrared laser receiving array.

[0056] Among them, an infrared laser beam is emitted from an infrared laser emitting array to an infrared laser receiving array. During the laser emission process, a calibration device is used to calibrate the laser emission angle, intensity and coverage range parameters to ensure the accuracy and stability of the laser plane, laying the foundation for subsequent precise measurement.

[0057] Step S30: The infrared laser receiving array uses high-precision sensors to monitor the changes of these optical parameters in real time and accurately, collects the optical parameter data of the infrared laser in real time and transmits it to the data processing module.

[0058] Specifically, in step S30, the infrared laser receiving array collects optical parameter data including intensity data, phase data and frequency data of the infrared laser in real time.

[0059] Step S40: After receiving the data, the data processing module establishes a mathematical model between the laser optical parameter data and the wind speed, substitutes the received optical parameter data into the mathematical model to obtain the wind speed distribution, and calculates the wind volume passing through the wind duct section based on the obtained wind speed distribution.

[0060] After receiving the data, the data processing module removes noise and outliers from the received optical parameter data before establishing a mathematical model between the laser optical parameter data and the wind speed, thereby improving the quality of the optical parameter data and ensuring the accuracy of the calculation results.

[0061] Specifically, in step S40, after the data processing module receives the data, the step of removing noise and outliers from the received optical parameter data before establishing a mathematical model between the laser optical parameter data and the wind speed includes:

[0062] Noise removal: A low-pass filter is used to remove noise from the infrared laser intensity data. The intensity data is converted from the time domain to the frequency domain through discrete Fourier transform. The low-pass cutoff frequency is set according to the frequency domain characteristics of the noise. After filtering out the part higher than the set cutoff frequency, the data is converted from the frequency domain back to the time domain through inverse discrete Fourier transform to obtain infrared laser intensity data with noise removed. A high-pass filter is used to remove noise from the infrared laser phase data. The high-pass cutoff frequency is set according to the sampling frequency and noise characteristics of the phase data. The part lower than the set cutoff frequency is filtered out to obtain infrared laser phase data with noise removed. A minimum mean square adaptive filter is used to adjust the filter parameters in real time according to the frequency data of the infrared laser, filter out the noise in the infrared laser frequency data, and minimize the mean square error of the output infrared laser frequency.

[0063] Outlier removal: For the intensity data, phase data and frequency data of the infrared laser, the outlier removal method based on statistical laws is adopted to calculate the mean μ and variance σ of the intensity data, phase data and frequency data, and mark the data greater than or equal to μ+3σ and less than or equal to μ-3σ as outliers and remove them, so as to obtain the intensity data, phase data and frequency data of the infrared laser after removing the outliers.

[0064] Specifically, the mathematical model between the laser optical parameter data and the wind speed is established in step S40, including:

[0065] Relationship model between laser intensity change and wind speed: A relationship model between laser intensity change and wind speed is established. Experiments are conducted under different wind speed conditions, the laser emission intensity I and incident intensity I0 are recorded, and the length of the wind duct L is measured. According to Beer-Lambert's law, as shown in formula (1):

[0066] I=I0e -αL (1)

[0067] Where α is the laser intensity attenuation coefficient, e is the exponential function, and the laser intensity attenuation coefficient α under different wind speeds is calculated to obtain the relationship model between the attenuation coefficient and the wind speed, as shown in formula (2):

[0068] v(x,y)=k0·α+b0 (2)

[0069] Where v(x, y) is the wind speed distribution on the wind duct section, k0 and b0 are coefficients, and the values ​​of k0 and b0 are determined according to the laser intensity attenuation coefficient α calculated at different wind speeds; the laser intensity attenuation coefficient is calculated according to the laser emission intensity of the infrared laser emitting array, the infrared laser incident intensity actually collected by the infrared laser receiving array and the actual wind duct length, and the obtained laser intensity attenuation coefficient is substituted into formula (2) to obtain the corresponding wind speed distribution, and the corresponding wind volume is calculated according to the wind volume calculation formula, as shown in formula (3):

[0070] Q = ∫ A v(x,y)·dA (3)

[0071] Among them, Q is the air volume, A is the area of ​​the wind duct section, v(x,y) is the wind speed distribution on the wind duct section, (x,y) is a point on the wind duct section, and the integral is the integral of the wind speed distribution v(x,y) on the entire wind duct section;

[0072] Relationship model between laser phase change and wind speed: The relationship between laser phase change and wind speed is shown in formula (4):

[0073] φ=k1·v+b1 (4)

[0074] Among them, φ is the laser phase change data, k1 and b1 are coefficients, and v is the wind speed. By measuring the corresponding laser phase change at different wind speeds, the values ​​of k1 and b1 are determined using the linear regression method; according to the laser phase change data actually collected by the infrared laser receiving array and the determined values ​​of k1 and b1, the corresponding wind speed is calculated and substituted into formula (3) to obtain the corresponding wind volume;

[0075] Relationship model between laser frequency change and wind speed: The relationship between laser frequency change and wind speed is shown in formula (5):

[0076] F=k2·v+b2 (5)

[0077] Among them, F is the frequency change data, k2 and b2 are coefficients, and v is the wind speed. By measuring the change of the corresponding laser frequency under different wind speeds, the values ​​of k2 and b2 are determined using the linear regression method; according to the laser frequency change data actually collected by the infrared laser receiving array and the determined values ​​of k2 and b2, the corresponding wind speed is calculated and substituted into formula (3) to obtain the corresponding wind volume.

[0078] Specifically, in step S40, the wind volume passing through the wind duct section is calculated according to the obtained wind speed distribution, and three corresponding wind speeds v1, v2 and v3 are obtained by the established relationship model between laser phase change and wind speed, the relationship model between laser phase change and wind speed, and the relationship model between laser frequency change and wind speed. The three corresponding wind volumes Q1, Q2 and Q3 are respectively substituted into formula (3), and the average value is taken as the wind volume Q passing through the wind duct. d As shown in formula (6):

[0079]

[0080] In addition, the present invention also proposes a wind measuring device for an intelligent wind measuring station, please refer to Figure 2 The wind measuring device of the intelligent wind measuring station comprises:

[0081] Infrared array module: used to install infrared laser emitting array and infrared laser receiving array at corresponding positions on both sides of the target section of the wind measuring station;

[0082] Infrared array laser coverage module: used to transmit infrared laser beams from the infrared laser transmitting array to the infrared laser receiving array to form a laser plane covering the entire wind duct section. When the wind passes through the laser plane, the laser is refracted, scattered and absorbed, resulting in changes in the optical parameters of the infrared laser received by the infrared laser receiving array.

[0083] Infrared laser parameter acquisition module: used for the infrared laser receiving array to collect optical parameter data of infrared laser in real time and transmit it to the data processing module;

[0084] Data processing module: used to establish a mathematical model between laser optical parameter data and wind speed after receiving data, substitute the received optical parameter data into the mathematical model to obtain the wind speed distribution, and calculate the air volume passing through the wind duct section according to the obtained wind speed distribution;

[0085] Display and storage module: used to display the calculated air volume on the screen in real time through the data transmission interface and use the storage module to store data;

[0086] The infrared laser emitting array in the infrared array module is composed of a set number of infrared laser emitters with independent adjustment functions of emission power and angle, and the infrared laser emitters are configured and optimized according to the shape and size of the target section so that the emitted infrared laser is evenly distributed over the entire target section; the infrared laser receiving array is composed of a set number of highly sensitive photoelectric sensors, which are used to accurately collect changes in laser optical parameters at different positions when wind passes through the target section;

[0087] The infrared array laser coverage module transmits an infrared laser beam to an infrared laser receiving array through an infrared laser transmitting array. During the laser emission process, a calibration device is used to calibrate the laser emission angle, intensity and coverage parameters to ensure the accuracy and stability of the laser plane, thus laying a foundation for subsequent precise measurement.

[0088] After receiving the data, the data processing module in the data processing module removes noise and abnormal values ​​from the received optical parameter data before establishing a mathematical model between the laser optical parameter data and the wind speed, thereby improving the quality of the optical parameter data and ensuring the accuracy of the calculation results.

[0089] The wind measuring device of the intelligent wind measuring station provided by the present application adopts the wind measuring method of the intelligent wind measuring station in the above embodiment, which can solve the technical problem that the traditional wind measuring technology cannot accurately measure the wind volume of the entire cross section. Compared with the prior art, the beneficial effects of the wind measuring device of the intelligent wind measuring station provided by the present application are the same as the beneficial effects of the wind measuring method of the intelligent wind measuring station provided by the above embodiment, and the other technical features of the wind measuring device of the intelligent wind measuring station are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0090] The present application provides a wind measuring device for an intelligent wind measuring station, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the wind measuring method for the intelligent wind measuring station in the above-mentioned embodiment one.

[0091] Reference below Figure 3 , which shows a schematic diagram of the structure of the wind measuring equipment of the intelligent wind measuring station suitable for implementing the embodiment of the present application. The wind measuring equipment of the intelligent wind measuring station in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The wind measuring equipment of the smart wind measuring station shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0092] Figure 3The wind measuring device of the intelligent wind measuring station shown may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. Various programs and data required for the operation of the wind measuring device of the intelligent wind measuring station are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the wind measuring device of the intelligent wind measuring station to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows the wind measuring device of the intelligent wind measuring station with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0093] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0094] The intelligent wind measuring station wind measuring device provided by the present application adopts the intelligent wind measuring station wind measuring method in the above embodiment, which can solve the technical problem that the traditional wind measuring technology cannot accurately measure the wind volume of the entire cross section. Compared with the prior art, the beneficial effects of the intelligent wind measuring station wind measuring device provided by the present application are the same as the beneficial effects of the intelligent wind measuring station wind measuring method provided by the above embodiment, and the other technical features of the intelligent wind measuring station wind measuring device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0095] The various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0096] The present application also provides a computer program product, including a computer program, which implements the steps of the wind measurement method of the intelligent wind measurement station as described above when executed by a processor.

[0097] The computer program product provided by the present application can solve the technical problem that the traditional wind measurement technology cannot accurately measure the full-section wind volume. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the wind measurement method of the intelligent wind measurement station provided by the above embodiment, which will not be repeated here.

[0098] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for measuring wind using an intelligent wind measuring station, characterized in that: The method comprises the following steps: Step S10: installing an infrared laser emitting array and an infrared laser receiving array at corresponding positions on both sides of the target section of the wind measuring station; Step S20: an infrared laser beam is emitted from the infrared laser emitting array to the infrared laser receiving array to form a laser plane covering the entire wind duct section. When wind passes through the laser plane, the laser is refracted, scattered and absorbed, resulting in changes in optical parameters of the infrared laser received by the infrared laser receiving array. Step S30: the infrared laser receiving array collects optical parameter data of the infrared laser in real time and transmits it to the data processing module; Step S40: after receiving the data, the data processing module establishes a mathematical model between the laser optical parameter data and the wind speed, substitutes the received optical parameter data into the mathematical model to obtain the wind speed distribution, and calculates the air volume passing through the wind duct section according to the obtained wind speed distribution; Step S50: displaying the calculated air volume on the screen in real time through the data transmission interface and storing the data using the storage module; In step S10, the infrared laser emitting array is composed of a set number of infrared laser emitters with independent adjustment functions of emission power and angle, and the infrared laser emitters are configured and optimized according to the shape and size of the target section so that the emitted infrared laser is evenly distributed over the entire target section; the infrared laser receiving array is composed of a set number of photoelectric sensors for accurately collecting changes in laser optical parameters at different positions when wind passes through the target section; The step S20 transmits an infrared laser beam to an infrared laser receiving array through an infrared laser transmitting array, and during the laser transmitting process, a calibration device is used to calibrate the laser emission angle, intensity and coverage parameters; In step S40, after receiving the data, the data processing module removes noise and abnormal values ​​from the received optical parameter data before establishing a mathematical model between the laser optical parameter data and the wind speed.

2. The method for measuring wind using an intelligent wind measuring station according to claim 1, characterized in that: In step S30, the infrared laser receiving array collects optical parameter data including intensity data, phase data and frequency data of the infrared laser in real time.

3. The method for measuring wind using an intelligent wind measuring station according to claim 1, characterized in that: In step S40, the step of removing noise and abnormal values ​​from the received optical parameter data before establishing a mathematical model between the laser optical parameter data and the wind speed after the data processing module receives the data includes: Noise removal: A low-pass filter is used to remove noise from the infrared laser intensity data. The intensity data is converted from the time domain to the frequency domain through discrete Fourier transform. The low-pass cutoff frequency is set according to the frequency domain characteristics of the noise. After filtering out the part higher than the set cutoff frequency, the data is converted from the frequency domain back to the time domain through inverse discrete Fourier transform to obtain infrared laser intensity data with noise removed. A high-pass filter is used to remove noise from the infrared laser phase data. The high-pass cutoff frequency is set according to the sampling frequency and noise characteristics of the phase data. The part lower than the set cutoff frequency is filtered out to obtain infrared laser phase data with noise removed. A minimum mean square adaptive filter is used to adjust the filter parameters in real time according to the frequency data of the infrared laser, filter out the noise in the infrared laser frequency data, and minimize the mean square error of the output infrared laser frequency. Outlier removal: For the intensity data, phase data and frequency data of the infrared laser, the outlier removal method based on statistical laws is adopted to calculate the mean μ and variance σ of the intensity data, phase data and frequency data, and mark the data greater than or equal to μ+3σ and less than or equal to μ-3σ as outliers and remove them, so as to obtain the intensity data, phase data and frequency data of the infrared laser after removing the outliers.

4. The method for measuring wind using an intelligent wind measuring station according to claim 1, characterized in that: The mathematical model between the laser optical parameter data and the wind speed in step S40 includes: Relationship model between laser intensity change and wind speed: A relationship model between laser intensity change and wind speed is established. Experiments are conducted under different wind speed conditions, the laser emission intensity I and incident intensity I0 are recorded, and the length of the wind duct L is measured. According to Beer-Lambert's law, as shown in formula (1): I=I0e -αL (1) Where α is the laser intensity attenuation coefficient, e is the exponential function, and the laser intensity attenuation coefficient α under different wind speeds is calculated to obtain the relationship model between the attenuation coefficient and the wind speed, as shown in formula (2): v(x,y)=k0·α+b0 (2) Where v(x, y) is the wind speed distribution on the wind duct section, k0 and b0 are coefficients, and the values ​​of k0 and b0 are determined according to the laser intensity attenuation coefficient α calculated at different wind speeds; the laser intensity attenuation coefficient is calculated according to the laser emission intensity of the infrared laser emitting array, the infrared laser incident intensity actually collected by the infrared laser receiving array and the actual wind duct length, and the obtained laser intensity attenuation coefficient is substituted into formula (2) to obtain the corresponding wind speed distribution, and the corresponding wind volume is calculated according to the wind volume calculation formula, as shown in formula (3): Q=∫ A v(x,y)·dA (3) Among them, Q is the air volume, A is the area of ​​the wind duct section, v(x,y) is the wind speed distribution on the wind duct section, (x,y) is a point on the wind duct section, and the integral is the integral of the wind speed distribution v(x,y) on the entire wind duct section; Relationship model between laser phase change and wind speed: The relationship between laser phase change and wind speed is shown in formula (4): φ=k1·v i +b1 (4) Among them, φ is the laser phase change data, k1 and b1 are coefficients, v i is the wind speed at the midpoint i of the wind speed distribution v(x,y) on the wind duct section. By measuring the corresponding laser phase change at different wind speeds, the values ​​of k1 and b1 are determined using the linear regression method. According to the laser phase change data actually collected by the infrared laser receiving array and the determined values ​​of k1 and b1, the corresponding wind speed distribution is calculated and substituted into formula (3) to obtain the corresponding wind volume. Relationship model between laser frequency change and wind speed: The relationship between laser frequency change and wind speed is shown in formula (5): F=k2·v j +b2 (5) Among them, F is the frequency change data, k2 and b2 are coefficients, v j is the wind speed at the midpoint j of the wind speed distribution v(x, y) on the wind duct section. By measuring the change of the corresponding laser frequency at different wind speeds, the values ​​of k2 and b2 are determined using the linear regression method. According to the laser frequency change data actually collected by the infrared laser receiving array and the determined values ​​of k2 and b2, the corresponding wind speed is calculated and substituted into formula (3) to obtain the corresponding air volume.

5. The method for measuring wind using an intelligent wind measuring station according to claim 1, characterized in that: In step S40, the wind volume passing through the wind duct section is calculated according to the obtained wind speed distribution. Three corresponding wind speed distributions are obtained by using the established relationship models between laser intensity change and wind speed, laser phase change and wind speed, and laser frequency change and wind speed. The three corresponding wind volumes Q1, Q2 and Q3 are respectively substituted into equation (3) to obtain the three corresponding wind volumes Q1, Q2 and Q3. The average value is taken as the wind volume Q passing through the wind duct. d As shown in formula (6):

6. A wind measuring device for an intelligent wind measuring station, characterized in that: The wind measuring device of the intelligent wind measuring station comprises: Infrared array module: used to install infrared laser emitting array and infrared laser receiving array at corresponding positions on both sides of the target section of the wind measuring station; Infrared array laser coverage module: used to transmit infrared laser beams from the infrared laser transmitting array to the infrared laser receiving array to form a laser plane covering the entire wind duct section. When the wind passes through the laser plane, the laser is refracted, scattered and absorbed, resulting in changes in the optical parameters of the infrared laser received by the infrared laser receiving array. Infrared laser parameter acquisition module: used for the infrared laser receiving array to collect optical parameter data of infrared laser in real time and transmit it to the data processing module; Data processing module: used to establish a mathematical model between laser optical parameter data and wind speed after receiving data, substitute the received optical parameter data into the mathematical model to obtain the wind speed distribution, and calculate the air volume passing through the wind duct section according to the obtained wind speed distribution; Display and storage module: used to display the calculated air volume on the screen in real time through the data transmission interface and use the storage module to store data; The infrared laser emitting array in the infrared array module is composed of a set number of infrared laser emitters with independent adjustment functions of emission power and angle, and the infrared laser emitters are configured and optimized according to the shape and size of the target section so that the emitted infrared laser is evenly distributed over the entire target section; the infrared laser receiving array is composed of a set number of highly sensitive photoelectric sensors, which are used to accurately collect changes in laser optical parameters at different positions when wind passes through the target section; The infrared array laser coverage module transmits an infrared laser beam to an infrared laser receiving array through an infrared laser transmitting array. During the laser emission process, a calibration device is used to calibrate the laser emission angle, intensity and coverage parameters to ensure the accuracy and stability of the laser plane, thus laying a foundation for subsequent precise measurement. After receiving the data, the data processing module in the data processing module removes noise and abnormal values ​​from the received optical parameter data before establishing a mathematical model between the laser optical parameter data and the wind speed, thereby improving the quality of the optical parameter data and ensuring the accuracy of the calculation results.

7. An intelligent wind measuring station wind measuring device, characterized in that: The wind measuring equipment of the intelligent wind measuring station comprises: A memory, a processor, and an intelligent wind measurement station wind measurement program stored in the memory and executable on the processor, wherein the intelligent wind measurement station wind measurement program, when executed by the processor, implements the intelligent wind measurement station wind measurement method according to any one of claims 1 to 5.

8. A computer program product, characterized in that The computer program product comprises a wind measurement program for an intelligent wind measurement station, and when the wind measurement program for an intelligent wind measurement station is executed by a processor, the wind measurement method for an intelligent wind measurement station as claimed in any one of claims 1 to 5 is implemented.

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