CN114324970B - Array type self-adaptive wind direction and wind speed measuring device and method - Google Patents
Array type self-adaptive wind direction and wind speed measuring device and method Download PDFInfo
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Abstract
The invention discloses an array type self-adaptive wind direction and wind speed measuring device and method, wherein the device comprises a mounting rack, a reference air pressure sensor, an air pressure sensor array and a rotating base; the mounting rack is arranged on the rotating base; the reference air pressure sensor is arranged inside the mounting frame; the baroceptor array includes a plurality of baroceptor modules of evenly setting at the lateral surface of mounting bracket along the circumferencial direction. The invention directly collects the air pressure data of a plurality of sensors through the air pressure sensor array consisting of a plurality of air pressure sensors, and has the advantages of novel and simple structure, small integral volume, low manufacturing cost, large space utilization rate, wide application and the like.
Description
Technical Field
The invention relates to a device and a method for measuring wind direction and wind speed, in particular to an array type self-adaptive device and a method for measuring wind direction and wind speed.
Background
The wind speed sensor is a sensor for continuously measuring wind speed, is widely applied to the fields of meteorology, agriculture, engineering machinery and the like, and can be generally divided into a mechanical type (including a propeller type, a cup type and the like), a pitot tube type wind speed sensor, an ultrasonic wind speed sensor and the like according to a measurement principle.
The mechanical wind speed sensor generally blows a propeller or 3 uniform wind cups to rotate by wind, a Hall switch senses a magnet to output a pulse signal, the pulse signal is counted by a counter, and the actual wind speed is obtained through conversion. However, the propeller type wind speed sensor can only measure wind speed in a single direction; the wind cup type sensor is greatly influenced by the dynamic balance of 3 wind cups, the weight of the wind cups is uneven, and the wind speed measurement is inaccurate.
The ultrasonic wind speed sensor adopts ultrasonic emission and echo to calculate the wind speed, has high requirement on the consistency of the probe, needs calibration at each time and is troublesome to manufacture.
The pitot tube type wind speed sensor needs to use a differential pressure gauge to measure a difference value between dynamic pressure and static pressure, and then obtains a corresponding wind speed value through a conversion relation between wind speed and the differential pressure.
Disclosure of Invention
The invention aims to overcome the existing problems and provides an array type self-adaptive wind direction and wind speed measuring device which directly acquires air pressure data of a plurality of sensors through an air pressure sensor array consisting of a plurality of air pressure sensors and has the advantages of novel and simple structure, small overall volume, low manufacturing cost, large space utilization rate, wide application and the like.
The invention also aims to provide an array type self-adaptive wind direction and wind speed measuring method.
The purpose of the invention is realized by the following technical scheme:
an array type self-adaptive wind direction and wind speed measuring device comprises a mounting rack, a reference air pressure sensor, an air pressure sensor array and a rotating base;
the mounting rack is arranged on the rotating base; the reference air pressure sensor is arranged inside the mounting frame;
the baroceptor array includes a plurality of baroceptor modules of evenly setting at the lateral surface of mounting bracket along the circumferencial direction.
In a preferred embodiment of the present invention, the mounting rack includes an array fixing frame and a supporting bracket, and the reference air pressure sensor and the air pressure sensor array are disposed on the array fixing frame;
the supporting bracket is fixedly connected between the array fixing frame and the rotating base.
Further, the array fixing frame is provided with a plurality of installation side faces, the number of the air pressure sensor modules is the same as that of the installation side faces, and the air pressure sensor modules are arranged on the installation side faces. Through the structure, the air pressure sensor module can detect towards different directions on a plurality of mounting side surfaces, and the air pressure in different directions can be detected in real time.
In a preferred embodiment of the present invention, the rotating base is connected to a driving motor through a transmission structure. Specifically, the drive motor and the transmission structure may adopt existing structures.
In a preferred embodiment of the present invention, the mobile terminal further includes a control module, the control module is disposed on the mounting frame;
the air pressure sensor module, the reference air pressure sensor and the rotating base are all electrically connected with the control module.
Further, the control module is connected with the air pressure sensor module and the reference air pressure sensor through a wired cable.
In a preferred embodiment of the present invention, the wind pressure sensor module further includes a flow blocking structure, and the flow blocking structure blocks a bypass flow formed when the air pressure sensor module is laterally winded and the air flow passes through the air pressure sensor module which is positively winded.
Further, the flow blocking structure comprises a plurality of wind blocking plates erected on the outer side of the mounting rack along the circumferential direction.
Further, the flow blocking structure comprises a plurality of air guide grooves, and the air guide grooves are formed in the side face of the mounting frame. Therefore, the flowability of the airflow on the surface of the air pressure sensor can be increased, and the accurate air pressure of the air pressure sensor module can be detected in the flowing airflow.
An array type self-adaptive wind direction and wind speed measuring method comprises the following steps:
(1) Installing a wind direction and wind speed measuring device on a set field;
(2) Acquiring a reference air pressure value of a reference air pressure sensor and recording the reference air pressure value as P 0 ；
(3) Acquiring the air pressure data values of all air pressure sensor modules of the air pressure sensor array, and recording the air pressure data values as P 1 -P N N is the number of the air pressure sensor modules; the air pressure data value is differed with the reference value to obtain a relative air pressure value delta P 1 -ΔP n ；
(4) Relative air pressure value DeltaP in step (3) 1 -ΔP n The relative air pressure delta P of the medium selected M 1 -ΔP M ；
(5) The M relative air pressures delta P selected in the step (4) 1 -ΔP M Substituting the model curved surface of the relation among the relative air pressure, the wind direction angle and the wind speed of the baroceptor array to obtain a wind speed-wind direction angle curve corresponding to the selected baroceptor;
(6) According to a plurality of selected corresponding wind speed-wind direction angle curves, a plurality of data points of the selected baroceptor module at the same wind speed level and with the same wind direction angle are found out through an intelligent algorithm, and therefore the wind speed v1 and the wind direction angle theta 1 are determined.
In a preferred embodiment of the present invention, in the step (4), the method for selecting the relative air pressure comprises the steps of:
if N is an odd number, when the relative air pressure values of two adjacent air pressure sensor modules are positive, shielding the data of the air pressure sensor module with the opposite edge between the two adjacent air pressure sensor modules;
if N is an even number, judging whether the relative air pressure value of the air pressure sensor module is positive or negative, selecting the air pressure sensor module with positive relative air pressure, and shielding the data of the air pressure sensor module opposite to the air pressure sensor module with positive relative air pressure;
the number of the shielded air pressure sensors is M, wherein M < N.
In a preferable embodiment of the present invention, in the step (5), the building of the model curved surface relative to the relationship between the air pressure, the wind direction angle and the wind speed includes the following steps:
selecting a 180-degree effective characteristic interval corresponding to a single air pressure sensor module according to the relation between the wind direction and the relative air pressure of the single air pressure sensor module at a specific wind speed, fitting into an air pressure-wind direction fitting equation of the single air pressure sensor module, establishing a relative air pressure-wind direction model of the air pressure sensor module, and manufacturing a model curved surface of the relation between the single relative air pressure-wind direction angle and the wind speed;
obtaining the offset angle theta of the model curved surface Offset of ＝360°÷N；
Respectively shifting the model curved surface of the relation of single relative air pressure, wind direction angle and wind speed by N theta Offset of And the model curved surface of the relation among the relative air pressure, the wind direction angle and the wind speed of the air pressure sensor array can be obtained after combination.
Further, the method for determining the 180 ° effective characteristic interval comprises the following steps:
the single air pressure sensor module is within a range of a wind direction angle of 360 degrees, the position of the air pressure sensor module opposite to the wind direction is recorded as 0 degree, and a 180-degree effective characteristic interval is determined from the position of the air pressure sensor module opposite to the wind direction at a counterclockwise 90-degree side to the position of the air pressure sensor module opposite to the wind direction and then from the position of the air pressure sensor module opposite to the wind direction to the position of the air pressure sensor module opposite to the clockwise 90-degree side to the position of the air pressure sensor module at a 180-degree angle.
In a preferred embodiment of the present invention, in step (6), the intelligent algorithm includes the following steps:
collecting air pressure data of an air pressure sensor array at a plurality of wind speeds through a calibration test, and carrying out filtering pretreatment on the collected air pressure data;
after filtering the data of the M air pressure sensors, carrying out normalization processing, wherein the calculation formula is as follows:
wherein the Data imin Is the minimum value of Data of the ith air pressure sensor module, data imax The maximum value of the data of the ith air pressure sensor module;
after normalization processing, the LSSVM model is used as the input of the LSSVM model of the least square method support vector machine, and the least square support vector machine model is trained;
in the training process of the least square support vector machine LSSVM model, a gradient descent method is used for solving that the ray of the zero crossing point formed by the M selected air pressure data is close to the ray of the actual wind speed and the wind direction in the model curved surface of the relation of the relative air pressure, the wind direction angle and the wind speed in the step (5).
An array type self-adaptive wind direction and wind speed measuring method comprises the following steps:
(1) Mounting a wind direction and wind speed measuring device on a set site;
(2) The mounting frame is driven to rotate by a driving motor of the rotating support, and the mounting frame is stopped until the air pressure output of two air pressure sensor modules in the air pressure sensor array is positive and equal in size, and the rotating angle theta 1 of the driving motor in the step is recorded;
(3) The method comprises the steps that a control module is used for collecting the rotation angle theta 1 of a driving motor, wherein the rotation angle is positive when the driving motor rotates anticlockwise, and the rotation angle is negative when the driving motor rotates clockwise;
(4) Knowing the installation position of each air pressure sensor module in the air pressure sensor array, and outputting the installation positions of the two air pressure sensor modules with positive and equal sizes according to the air pressure after the rotation in the step (2) to obtain an angle theta 2 of the wind direction after the rotation;
(5) Calculating to obtain a measurable wind direction angle theta = theta 1+ theta 2;
(6) Selecting one or more air pressure sensor modules for converting wind speed according to the positions of two air pressure sensor modules A and B with positive air pressure output and equal size relative to a reference 0-degree direction angle, and respectively acquiring air pressure values P 1 Respectively subtracting the reference pressure value P 0 Obtaining a pressure difference delta P;
(7) Substituting the pressure difference calculated by the selected single or multiple air pressure sensor modules into a pressure difference-wind speed function formula to obtain single or multiple wind speed values;
if a single air pressure sensor module is selected, directly outputting the wind speed;
if a plurality of baroceptor modules are selected, averaging the obtained wind speed values and outputting the wind speed values;
(8) Detecting whether the air pressure output of the two air pressure sensor modules A and B in the step (6) is continuously positive and equal or not in real time through a control module; if not, repeating the steps (2) to (7).
In a preferred embodiment of the present invention, in step (3), the range of the rotation angle θ 1 of the motor is defined according to the number n of the air pressure sensor modules of the air pressure sensor array:
in a preferred embodiment of the present invention, in step (6), the method for selecting the single or multiple baroceptor modules for wind speed conversion comprises the following specific steps:
if two air pressure sensor modules A and B with positive air pressure outputs and equal sizes are two adjacent air pressure sensor modules, selecting two outermost air pressure sensor modules facing the wind source;
if two air pressure sensor modules A and B with positive air pressure outputs and equal sizes are not two adjacent air pressure sensor modules, the air pressure sensor module between the air pressure sensor modules A and B is selected.
In a preferred embodiment of the present invention, in step (7), the pressure difference-wind speed function formula is:
in the formula, xi is a sensor correction coefficient; ρ is the density of air; v is wind speed in m/s.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention directly collects the air pressure data of a plurality of sensors by an air pressure sensor array consisting of a plurality of air pressure sensor modules and combines and utilizes the offset angle theta Offset of The model of the relation of the relative air pressure, the wind direction angle and the wind speed directly obtains the wind direction and the wind speed, and has novel and simple structure, small overall volume and low manufacturing cost.
2. According to the invention, through the cooperation of the plurality of air pressure sensor modules, the wind direction angle data of 360 degrees on the horizontal plane can be measured by using smaller movable amplitude, the space utilization rate is greatly improved, and the application scene is wide.
Drawings
Fig. 1 is a schematic perspective view of an array-type adaptive wind direction and speed measuring device according to the present invention, in which a portion of a wind shield is hidden.
Fig. 2-3 are schematic perspective views of the wind direction and wind speed measuring device of the present invention with two different viewing angles of the flow blocking structure hidden.
Fig. 4 is a schematic diagram of a model curved surface of the relationship between the relative air pressure, the wind direction angle and the wind speed of the baroceptor array according to the present invention.
Fig. 5 is a schematic horizontal cross-sectional view of a model curved surface of the relationship between the relative air pressure, the wind direction angle and the wind speed of the baroceptor array according to the present invention.
Detailed Description
In order to make those skilled in the art understand the technical solutions of the present invention well, the present invention will be further described below with reference to the examples and the accompanying drawings, but the embodiments of the present invention are not limited thereto.
Example 1
Referring to fig. 1 to 3, the array type adaptive wind direction and wind speed measuring device of the present embodiment includes a mounting rack, a reference air pressure sensor 1, an air pressure sensor array, a control module 2, and a rotating base 3.
The mounting rack comprises an array fixing rack 4 and a supporting bracket 5, and the reference air pressure sensor 1 and the air pressure sensor array are arranged on the array fixing rack 4; the reference air pressure sensor 1 is arranged inside the array fixing frame 4; the support bracket 5 is fixedly connected between the array fixing frame 4 and the rotating base 3.
The rotating base 3 is connected with a driving motor through a transmission structure. Specifically, the driving motor and the transmission structure may adopt existing structures.
Referring to fig. 1 to 3, the air pressure sensor array includes a plurality (more than four, six in this embodiment) of air pressure sensor modules 6 uniformly arranged on the outer side of the mounting frame along the circumferential direction.
The control module 2 is arranged on the array fixing frame 4; the air pressure sensor module 6, the reference air pressure sensor 1 and the rotating base 3 are all electrically connected with the control module 2.
Further, the control module 2 is connected with the air pressure sensor module 6 and the reference air pressure sensor 1 through a wired cable.
Further, the array fixing frame 4 is provided with a plurality of mounting side surfaces which are regular hexagons; the number of the air pressure sensor modules 6 is the same as the number of the installation side surfaces, and the air pressure sensor modules 6 are arranged on the installation side surfaces. Through the structure, the air pressure sensor module 6 can detect towards different directions on a plurality of mounting side surfaces, and the air pressure in different directions can be detected in real time.
Referring to fig. 1, the wind direction and wind speed measuring device of the present embodiment further includes a flow blocking structure, which blocks the airflow formed by the airflow passing through the forward wind-receiving barometric sensor module 6 when the barometric sensor module 6 receives a lateral wind.
Further, the flow blocking structure includes a plurality of wind blocking plates 7 erected on the outer side of the mounting frame in the circumferential direction.
Further, the flow blocking structure comprises a plurality of air guide grooves (the air guide grooves can be in a rectangular, circular or square structure and the like), and the air guide grooves are arranged on the side face of the mounting rack. Thus, the fluidity of the airflow on the surface of the air pressure sensor can be increased, and the air pressure sensor module 6 can detect accurate air pressure in the flowing airflow.
Referring to fig. 1-5, the method for directly measuring wind direction and wind speed of the present embodiment includes the following steps:
(1) And after the wind speed sensor adaptive to the wind direction is installed, the wind speed sensor is placed in an application place, and the reference air pressure value of the reference air pressure sensor 1 is obtained and recorded as P0.
(2) Acquiring the air pressure data of 6 sensors on the sensor array, and recording the data as P 1 -P 6 And is differed from the reference value to obtain a relative air pressure value delta P 1 -ΔP 5 The relative air pressure delta P of the M sensors is preferably selected through the data of the air pressure sensor module 6 1 -ΔP M In the present embodiment, M is 3 or 4.
The method for optimizing the air pressure sensor module 6 comprises the following steps:
the number of the baroceptor modules 6 of the baroceptor array is an even number, and the baroceptor modules 6 corresponding to the baroceptor modules 6 are shielded by judging whether the relative air pressure of the baroceptor modules 6 is positive.
The number of the shielded air pressure sensor modules 6 is M, and M is 3 or 4 in the present embodiment.
(3) Substituting the relative air pressure value of the optimized air pressure sensor module 6 into the model curved surface of the relation among the relative air pressure, the wind direction angle and the wind speed of the air pressure sensor array, as shown in fig. 4. And obtaining a wind speed-wind direction angle curve corresponding to the optimized baroceptor module 6.
The establishment of the model curved surface relative to the relationship among the air pressure, the wind direction angle and the wind speed comprises the following steps:
according to the relation between the specific wind speed downwind direction and the relative air pressure of the single air pressure sensor module 6, selecting the effective characteristic interval of the single air pressure sensor module 6, fitting an air pressure-wind direction fitting equation of the single air pressure sensor module 6, and establishing a relative air pressure-wind direction model of the air pressure sensor module 6 to manufacture a model curved surface of the relation between the single relative air pressure-wind direction angle and the single wind speed.
Obtaining a model curved surface offset angle according to the number N of the baroceptor modules 6 of the baroceptor array: theta Offset of N =360 °/, N is 6 in this embodiment, θ Offset of Is 60 degrees.
Respectively offsetting the model curved surfaces of the relation of single relative air pressure, wind direction angle and wind speed by 6 theta Offset of The model curved surface of the relation between the relative air pressure, the wind direction angle and the wind speed of the air pressure sensor array can be obtained after combination, as shown in fig. 4.
(4) According to the plurality of corresponding wind speed-wind direction angle curves obtained preferably, a plurality of data points with equal wind direction angles of the preferred baroceptor module 6 at a certain wind speed level are found out as shown in fig. 5 at the same wind speed level, and the wind speed v1 and the wind direction angle θ 1 are determined on a zero-crossing ray.
The intelligent algorithm comprises the following steps:
acquiring the air pressure data of the air pressure sensor array at a plurality of air speeds through a calibration test, and performing filtering pretreatment on the air pressure data of the air pressure sensor array by using algorithms including but not limited to Kalman filtering, amplitude limiting filtering, average value filtering and the like;
carrying out normalization processing on the data of the M air pressure sensor modules 6 subjected to filtering processing, wherein the calculation formula is as follows:
wherein the Data i For the data of the ith air pressure sensor,
Data imin is the minimum value of the ith air pressure sensor data,
Data imax is the maximum value of the ith air pressure sensor data.
After normalization processing, the Least Square Support Vector Machine model starts to be trained as the input of a Least Square Support Vector Machine (LSSVM) model.
In the training process of the least square support vector machine LSSVM model, a gradient descent method is used for calculating an optimal derivation model of the plurality of baroceptor modules 6 for wind speed and wind direction angles.
Example 2
Referring to fig. 1 to 5, the adaptive wind direction and wind speed measuring method of the present embodiment includes the following specific steps:
(1) And after the wind speed sensor adaptive to the wind direction is installed, the wind speed sensor is placed in an application place, and the reference air pressure of the reference air pressure sensor 1 is obtained and recorded as P0.
(2) The wind speed sensor is connected with the supporting bracket 5 through a connecting structure, the supporting bracket 5 is connected with the motor, the whole body slowly rotates along a specified direction until the air pressure output of the two air pressure sensor modules 6 in the air pressure sensor array is positive and equal in size, and the air pressure sensor stops rotating until the motor rotating angle theta 1 in the step is recorded; the range of the motor rotation angle theta 1 is as follows: theta 1 is more than or equal to 0 and less than or equal to 30 degrees.
(3) The control module collects the rotation angle theta 1 of the motor, the angle is positive when the motor rotates anticlockwise, and the angle is negative when the motor rotates clockwise.
(4) And (3) knowing the installation position of each air pressure sensor module in the air pressure sensor array, and obtaining the angle theta 2 of the wind direction after rotation according to the installation positions of the two air pressure sensor modules with positive air pressure output and equal size after rotation in the step (2).
(5) The wind speed sensor can measure a wind direction angle theta = theta 1+ theta 2.
(6) Selecting one or more baroceptor modules 6 for converting wind speed according to the positions of two baroceptor modules 6A and B with positive baroceptor outputs and equal sizes relative to a reference 0-degree direction angle, respectively obtaining baroceptor values P1, and respectively subtracting a reference baroceptor value P0 to obtain a pressure difference delta P, wherein the pressure difference and the wind speed have a functional relation as follows:
in the formula, xi is a sensor correction coefficient; ρ is the density of air; v is wind speed in m/s.
(7) The pressure difference calculated by the selected single or multiple barometer modules 6 is substituted into equation (1) to derive single or multiple wind speed values. If a single baroceptor module 6 is selected, the wind speed is directly output, and if a plurality of baroceptor modules 6 are selected, the obtained wind speed values are averaged to output a wind speed value;
(8) The control module detects whether the air pressure output of the sensor A and the air pressure output of the sensor B in the step (6) are continuously positive and equal in real time; if not, repeating the steps (2) to (7).
The present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents and are included in the scope of the present invention.
Claims (5)
1. An array type self-adaptive wind direction and wind speed measuring method is characterized by comprising the following steps:
(1) Installing a wind direction and wind speed measuring device on a set field; the wind direction and wind speed measuring device comprises a mounting rack, a reference air pressure sensor, an air pressure sensor array and a rotating base; the mounting rack is arranged on the rotating base; the reference air pressure sensor is arranged inside the mounting frame; the air pressure sensor array comprises a plurality of air pressure sensor modules which are uniformly arranged on the outer side surface of the mounting rack along the circumferential direction;
(2) Acquiring a reference air pressure value of a reference air pressure sensor and recording the reference air pressure value as P 0 ；
(3) Acquiring the air pressure data values of all air pressure sensor modules of the air pressure sensor array, and recording the air pressure data values as P 1 -P N N is the number of the air pressure sensor modules; the air pressure data value is subtracted from the reference value to obtain a relative air pressure value delta P 1 -ΔP n ；
(4) Relative air pressure value DeltaP in step (3) 1 -ΔP n The relative air pressure delta P of the medium selected M 1 -ΔP M ；
(5) The M relative air pressures delta P selected in the step (4) 1 -ΔP M Substituting the model curved surface of the relation of relative air pressure-wind direction angle-wind speed of the air pressure sensor array to obtain a wind speed-wind direction angle curve corresponding to the selected air pressure sensor; the establishment of the model curved surface relative to the relationship among air pressure, wind direction angle and wind speed comprises the following steps:
selecting a 180-degree effective characteristic interval corresponding to a single baroceptor module according to the relation between the wind direction and the relative air pressure of the single baroceptor module at a specific wind speed, fitting into an air pressure-wind direction fitting equation of the single baroceptor module, establishing a relative air pressure-wind direction model of the baroceptor module, and making a model curved surface of the relation between the single relative air pressure-wind direction angle-wind speed;
obtaining the offset angle theta of the model curved surface Offset of ＝360°÷N；
Respectively offsetting the model curved surface of the relation of single relative air pressure, wind direction angle and wind speed by N theta Offset of The model curved surface of the relation among the relative air pressure, the wind direction angle and the wind speed of the air pressure sensor array can be obtained after combination;
the 180-degree effective characteristic interval determining method comprises the following steps:
the single air pressure sensor module is within a wind direction angle range of 360 degrees, the position where the air pressure sensor module is opposite to the wind direction is marked as 0 degree, the range from the position where the air pressure sensor module is opposite to the wind direction at a counterclockwise 90-degree side to the position where the air pressure sensor module is opposite to the wind direction at the clockwise 90-degree side is 180 degrees, and an effective characteristic interval of 180 degrees is determined;
(6) According to a plurality of corresponding wind speed-wind direction angle curves obtained through selection, a plurality of data points of the selected air pressure sensor module in the same wind speed level, which are equal in wind direction angle, are found through an intelligent algorithm, and therefore the wind speed v1 and the wind direction angle theta 1 are determined;
the intelligent algorithm comprises the following steps:
collecting air pressure data of an air pressure sensor array at a plurality of wind speeds through a calibration test, and carrying out filtering pretreatment on the collected air pressure data;
after filtering the data of the M air pressure sensors, carrying out normalization processing, wherein the calculation formula is as follows:
wherein Data imin Is the minimum value of Data of the ith air pressure sensor module imax The maximum value of the data of the ith air pressure sensor module;
after normalization processing, the LSSVM model is used as the input of the LSSVM model of the least square method support vector machine, and the least square support vector machine model is trained;
in the training process of the least square support vector machine LSSVM model, a gradient descent method is used for solving the fact that in the model curved surface of the relation of relative air pressure-wind direction angle-wind speed in the step (5), the ray of the zero crossing point formed by the M pieces of air pressure data is close to the ray of the actual wind speed and the wind direction.
2. The array type adaptive wind direction and wind speed measuring method according to claim 1, wherein in the step (4), the relative air pressure selection method comprises the following steps:
if N is an odd number, when the relative air pressure values of two adjacent air pressure sensor modules are both positive, shielding the data of the air pressure sensor module with the opposite edge between the two adjacent air pressure sensor modules;
if N is an even number, judging whether the relative air pressure value of the air pressure sensor module is positive or negative, selecting the air pressure sensor module with positive relative air pressure, and shielding the data of the air pressure sensor module opposite to the air pressure sensor module with positive relative air pressure;
the number of the shielded air pressure sensors is M, wherein M < N.
3. An array type self-adaptive wind direction and wind speed measuring method is characterized by comprising the following steps:
(1) Mounting a wind direction and wind speed measuring device on a set site; the wind direction and wind speed measuring device comprises a mounting rack, a reference air pressure sensor, an air pressure sensor array and a rotating base; the mounting rack is arranged on the rotating base; the reference air pressure sensor is arranged inside the mounting frame; the air pressure sensor array comprises a plurality of air pressure sensor modules which are uniformly arranged on the outer side surface of the mounting frame along the circumferential direction;
(2) The mounting frame is driven to rotate by a driving motor of the rotating support until the air pressure output of two air pressure sensor modules in the air pressure sensor array is positive and equal in size, and the mounting frame is stopped, and the rotating angle theta 1 of the driving motor in the step is recorded;
(3) The method comprises the steps that a control module is used for collecting the rotation angle theta 1 of a driving motor, wherein the rotation angle is positive when the driving motor rotates anticlockwise, and the rotation angle is negative when the driving motor rotates clockwise;
(4) Knowing the installation position of each air pressure sensor module in the air pressure sensor array, outputting the installation positions of the two air pressure sensor modules with positive and equal sizes according to the air pressure after the rotation in the step (2), and obtaining the angle theta 2 of the wind direction after the rotation;
(5) Calculating to obtain a measurable wind direction angle theta = theta 1+ theta 2;
(6) Selecting one or more air pressure sensor modules for converting wind speed according to the positions of two air pressure sensor modules A and B with positive air pressure output and equal size relative to a reference 0-degree direction angle, and respectively acquiring air pressure values P 1 Respectively subtracting the reference pressure value P 0 Obtaining a pressure difference delta P;
(7) Substituting the pressure difference calculated by the selected single or multiple air pressure sensor modules into a pressure difference-wind speed function formula to obtain single or multiple wind speed values;
if a single air pressure sensor module is selected, directly outputting the wind speed;
if a plurality of baroceptor modules are selected, averaging the obtained wind speed values and outputting the wind speed values;
(8) Detecting whether the air pressure output of the two air pressure sensor modules A and B in the step (6) is continuously positive and equal or not in real time through a control module; if not, repeating the steps (2) to (7).
4. The array type adaptive wind direction and wind speed measuring method according to claim 3, wherein in step (3), the range of the rotation angle θ 1 of the motor is defined according to the number n of the baroceptor modules of the baroceptor array:
5. the array type adaptive wind direction and wind speed measurement method according to claim 3, wherein in the step (6), the method for selecting the single or multiple baroceptor modules with converted wind speed specifically comprises the following steps:
if two air pressure sensor modules A and B with positive air pressure outputs and equal sizes are two adjacent air pressure sensor modules, selecting two outermost air pressure sensor modules facing the wind source;
if two air pressure sensor modules A and B with positive air pressure outputs and equal sizes are not two adjacent air pressure sensor modules, the air pressure sensor module between the air pressure sensor modules A and B is selected.
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| RU2135971C1 (en) * | 1998-07-06 | 1999-08-27 | Центральный аэрогидродинамический институт им.проф.Н.Е.Жуковского | Air pressure transducer |
| US9945884B2 (en) * | 2015-01-30 | 2018-04-17 | Infineon Technologies Ag | System and method for a wind speed meter |
| CN105181995B (en) * | 2015-09-28 | 2018-09-11 | 中国科学院光电研究院 | A kind of wind speed and direction real-time measuring device for high-altitude low-speed operations device |
| EP3185017A1 (en) * | 2015-12-23 | 2017-06-28 | VEGA Grieshaber KG | Flow meter with wind speed sensor |
| CN206756870U (en) * | 2017-05-19 | 2017-12-15 | 南京信息工程大学 | A kind of spherical three-dimensional multi-functional air speed measuring apparatus |
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