CN117825745A - Typhoon wind speed real-time observation method and equipment based on single vector hydrophone - Google Patents
Typhoon wind speed real-time observation method and equipment based on single vector hydrophone Download PDFInfo
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Abstract
The application discloses a typhoon wind speed real-time observation method and equipment based on a single vector hydrophone, comprising the following steps: the method comprises the steps of arranging observation equipment on the sea around a typhoon wind field, collecting noise field data at the arrangement depth of a vector hydrophone in the typhoon environment by using a single vector hydrophone, calculating the real part of the vertical component of the noise complex sound intensity in real time according to the noise field data, establishing a wind-to-noise source spectrum intensity model according to an empirical formula, establishing a simple wave acoustic propagation model according to the wind-to-noise source spectrum intensity model, establishing a cost function of the sea surface wind speed above the vector hydrophone according to the Jian Zhengbo acoustic propagation model and the real part of the vertical component of the noise complex sound intensity, estimating the wind speed of the sea surface above the vector hydrophone, receiving the typhoon air pressure and the typhoon wall radius information in real time, combining the real-time wind speed estimated above the vector hydrophone, and dynamically calculating the sea surface wind speed, so that the implementation difficulty and cost of typhoon observation and forecast are reduced, and timeliness and precision are improved.
Description
Technical Field
The application relates to the technical field of ocean observation and detection, in particular to a typhoon wind speed real-time observation method, a typhoon wind speed real-time observation system, typhoon observation equipment and a computer readable storage medium based on a single vector hydrophone.
Background
Typhoons are one of disastrous weather seriously threatening life activities of human beings, and parameters such as typhoons wind speed can be observed and forecasted to provide timely information for human beings, so that emergency measures are effectively formulated, and the typhoons have important significance in reducing disaster influence of typhoons.
In the prior art, typhoon observation and prediction mainly adopt a satellite remote sensing technology and a meteorological reconnaissance plane, and the satellite remote sensing technology can be used for effectively monitoring typhoon formation and a moving path in a large range, but the prediction precision of parameters such as typhoon wind speed and the like still needs to be improved; the implementation difficulty of observing typhoons in the field by using the reconnaissance aircraft is high, the cost is high, and the safety of the aircraft and personnel is high, so that the reconnaissance aircraft is rarely used.
Disclosure of Invention
In view of the above, the application provides a typhoon speed real-time observation method, a typhoon speed real-time observation system, typhoon observation equipment and a computer readable storage medium based on a vector hydrophone, so as to solve the problems of high implementation difficulty, high cost and low safety caused by typhoon observation and prediction by a meteorological reconnaissance plane due to poor observation and prediction precision caused by typhoon observation and prediction by a satellite remote sensing technology in the prior art.
The application provides a typhoon wind speed real-time observation method based on a single-vector hydrophone, which comprises the following steps:
the typhoon observation equipment is arranged on the sea around a typhoon wind field, and a single vector hydrophone of the typhoon observation equipment is used for collecting noise sound field data at the arrangement depth of the vector hydrophone in the typhoon environment;
calculating the real part of the vertical component of the complex noise intensity in real time according to the noise sound field data;
establishing an wind noise source spectrum intensity model according to an empirical formula;
according to the wind-borne noise source spectrum intensity model, a simple wave underwater sound propagation model is established;
establishing a cost function of the sea surface wind speed above the vector hydrophone according to the Jian Zhengbo underwater sound propagation model and the real part of the vertical component of the noise complex sound intensity, and estimating the wind speed of the sea surface above the vector hydrophone;
and receiving typhoon eye air pressure and typhoon eye wall radius information sent by a shore-based center in real time through a satellite, and dynamically calculating sea surface wind speeds at different distances from the typhoon center by combining the real-time wind speeds estimated by the sea surface above the vector hydrophone.
Optionally, the noise sound field data includes a sound pressure component and a vertical vibration velocity component; the real part of the vertical component of the noise complex sound intensity is calculated in real time according to the noise sound field data, and the method specifically comprises the following steps:
Acquiring noise sound field data of a first time length, and performing Fourier transform on the sound pressure component and the vertical vibration velocity component to obtain a sound pressure complex spectrum and a vertical vibration velocity complex spectrum of the first time length;
calculating the real part of the vertical component of the actual measured noise complex intensity of the vector hydrophone according to the sound pressure complex frequency spectrum and the vertical vibration velocity complex frequency spectrum;
the calculation formula of the real part of the vertical component of the actual measured noise complex intensity is as follows:
wherein I is Actual measurement of z (f,z r ) The real part of the vertical component of the complex sound intensity of the actual measurement noise; f is the center frequency of the signal; re is the real part of the complex number; * Is a complex conjugate symbol;<·>a sliding window average periodic chart is shown; z r The water depth is distributed for the vector hydrophone, and r is the distance between the vector hydrophonesTyphoon center horizontal distance S p (f,z r ) Is the complex frequency spectrum of sound pressure, S vz (f,z r ) Is the complex frequency spectrum of the vertical vibration velocity.
Optionally, the building of the wind noise source spectrum intensity model according to the empirical formula specifically comprises:
establishing a wind-borne noise source spectrum intensity model of the sea surface in the typhoon environment according to the frequency and wind speed of the wind-borne noise source in the ocean environment and a wind-borne noise source empirical formula;
the wind noise source spectrum intensity model has the following calculation formula:
SI w (U,f,z s )＝C×f q ×U n ；
z s ＝c w /4f；
wherein SI is w (U,f,z s ) Spectral intensity for wind noise sources; u is the sea surface wind speed, and the parameter optimizing range of U is 4-16; z s Setting the water depth for the noise source; c w The propagation speed of sound waves in a water body at a sound source is given; c is a first parameter; q is a second parameter; n is a third parameter, z s The noise sources are uniformly distributed at the depth of the sea level for each wind under typhoon excitation.
Optionally, the establishing a simple wave underwater sound propagation model according to the wind-borne noise source spectrum intensity model specifically comprises:
according to the wind-borne noise source spectrum intensity model and Jian Zhengbo theory of the sea surface in the typhoon environment, an underwater Jian Zhengbo underwater sound propagation model of the typhoon excited wind-borne noise source at the receiving position of the vector hydrophone is established;
the calculation formula of the underwater Jian Zhengbo underwater sound propagation model is as follows:
k m ＝α m +iβ m ；
wherein I is z (f,z r ) For underwater Jian Zhengbo underwater sound propagation data, ρ=1.0, ρ is the water density, ψ m Is the m-th vertical modal characteristic function, k when the center frequency of the noise source signal is f m For the corresponding modal level propagation eigenvalue, α m Is k m Real part, beta m Is k m Imaginary part, ψ of (v) m ' is the derivative of the characteristic function, i is the imaginary unit, re is the real part of the complex number, SI w (U,f,z s ,z r ) Wind-induced noise source spectrum intensity corresponding to sea surface wind speed above hydrophone receiving point, U r Is the sea surface wind speed above the hydrophone.
Optionally, the building a cost function of the wind speed of the sea surface above the vector hydrophone according to the Jian Zhengbo underwater sound propagation model and the real part of the vertical component of the noise complex sound intensity, and estimating the wind speed of the sea surface above the vector hydrophone specifically comprises:
according to the Jian Zhengbo underwater acoustic propagation model and the real part of the vertical component of the noise complex sound intensity, a multi-parameter parallel particle swarm genetic optimization algorithm is adopted in a multi-frequency joint inversion mode, and a cost function of the sea surface wind speed above the vector hydrophone, which is related to the first parameter, the second parameter and the third parameter, is established, so that the optimal first parameter, the second parameter and the third parameter are obtained;
the calculation formula of the cost function is as follows:
wherein E (C, q, n) is a cost function, J represents the number of frequencies used for inversion calculation, and the parameter optimizing range of n is 2.5-3.5.
Optionally, the receiving, by satellite, the information of the typhoon eye air pressure and the typhoon eye wall radius sent by the shore-based center in real time, and dynamically calculating the sea surface wind speeds at different distances from the typhoon center by combining the real-time wind speeds estimated by the sea surface above the vector hydrophone, including:
Acquiring the optimal first parameter, the optimal second parameter and the optimal third parameter to obtain the wind speed of the sea surface above the vector hydrophone;
receiving typhoon eye air pressure and typhoon eye wall radius information sent by the shore-based center in real time through a satellite;
and combining the real-time wind speed estimated by the sea surface above the vector hydrophone, the typhoon eye air pressure and the typhoon eye wall radius, and obtaining dynamic calculation expressions of the sea surface wind speeds at different distances from the typhoon center by using a typhoon wind field calculation model to obtain the sea surface wind speed.
Optionally, the dynamic calculation expression of the sea surface wind speed is:
R w ＝A 1/B ；
wherein U (d) is the sea surface wind speed at the vector hydrophone, p n For typhoon eye pressure, p c Is the peripheral air pressure of typhoon wind field, R w For typhoon eye wall radius, e.apprxeq.2.71828, natural constant, ρ a =1.15, air density, a is a first intermediate parameter, B is a second intermediate parameter, d is the horizontal distance from typhoon center at observed wind speed.
The application also provides a typhoon wind speed real-time observation system based on the single-vector hydrophone, which comprises:
the noise sound field data acquisition module is used for arranging typhoon observation equipment on the sea around a typhoon wind field, and acquiring noise sound field data at the arrangement depth of the vector hydrophone in a typhoon environment by using a single vector hydrophone of the typhoon observation equipment;
The real part calculating module of the noise complex sound intensity vertical component is used for calculating the real part of the noise complex sound intensity vertical component in real time according to the noise sound field data;
the wind-driven noise source spectrum intensity model building module is used for building a wind-driven noise source spectrum intensity model according to an empirical formula;
jian Zhengbo underwater acoustic propagation model building module for building a simple wave underwater acoustic propagation model according to the wind noise source spectrum intensity model;
the vector hydrophone upper sea surface wind speed observation module is used for establishing a cost function of the vector hydrophone upper sea surface wind speed according to the Jian Zhengbo underwater sound propagation model and the real part of the noise complex sound intensity vertical component, and estimating the wind speed of the vector hydrophone upper sea surface;
the sea surface wind speed real-time observation module is used for receiving the typhoon eye air pressure and typhoon eye wall radius information sent by the shore-based center in real time through satellites, and dynamically calculating the sea surface wind speeds at different distances from the typhoon center by combining the real-time wind speeds estimated by the sea surface above the vector hydrophone.
The application also proposes a typhoon observation device, the typhoon observation device comprising: the method comprises the steps of a single vector hydrophone, a satellite communication module, a memory, a processor and a typhoon wind speed real-time observation program based on the single vector hydrophone, wherein the typhoon wind speed real-time observation program based on the single vector hydrophone is stored in the memory and can run on the processor, and the typhoon wind speed real-time observation method based on the single vector hydrophone is realized when the typhoon wind speed real-time observation program based on the single vector hydrophone is executed by the processor.
The application also provides a computer readable storage medium, wherein the computer readable storage medium stores a typhoon wind speed real-time observation program based on the single-vector hydrophone, and the typhoon wind speed real-time observation program based on the single-vector hydrophone realizes the steps of the typhoon wind speed real-time observation method based on the single-vector hydrophone when being executed by a processor.
The beneficial effects of this application are: compared with the prior art, the typhoon observation equipment is arranged on the sea around the typhoon wind field, the single vector hydrophone of the typhoon observation equipment is used for collecting noise sound field data at the arrangement depth of the vector hydrophone in the typhoon environment, the shore-based remote sensing satellite data is used for receiving the noise data in real time, the parameters of a typhoon wind speed model are dynamically optimized, dynamic calculation and real-time return of the wind speeds of typhoon wind fields with different distances are realized, and the accuracy and the efficiency of typhoon wind speed observation and forecast are effectively improved; secondly, the real part of the vertical component of the complex sound intensity of the noise is calculated in real time according to the data of the sound field of the noise, a wind-borne noise source spectrum intensity model is established according to an empirical formula, a simple wave underwater sound propagation model is established according to the wind-borne noise source spectrum intensity model, a cost function of the wind speed of the sea surface above a vector hydrophone is established according to the Jian Zhengbo underwater sound propagation model and the real part of the vertical component of the complex sound intensity of the noise, the wind speed of the sea surface above the vector hydrophone is estimated, the sea surface noise characteristics of the hydrophone are obtained in a concentrated mode, other noise interference is effectively filtered, implementation difficulty and cost are reduced, and observation and forecast accuracy are improved; finally, the typhoon eye air pressure and typhoon eye wall radius information sent by the shore-based center are received in real time through the satellite, the sea surface wind speeds at different distances from the typhoon center are dynamically calculated by combining the real-time wind speeds estimated by the sea surface above the vector hydrophone, and the calculated results are sent to the shore-based in real time through iridium communication, so that the real-time observation and forecast of typhoon field wind speed information are realized, and the method is accurate, efficient and easy for engineering application.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a preferred embodiment of the single vector hydrophone based typhoon wind speed real-time observation method of the present application;
FIG. 2 is a schematic structural view of typhoon observation equipment of the present application;
FIG. 3 is a schematic diagram of a marine space two-dimensional coordinate system of the typhoon wind speed real-time observation method based on a single vector hydrophone;
FIG. 4 is a diagram of a typhoon wind field sea surface wind speed information real-time observation and forecast calculation step of the typhoon wind speed real-time observation method based on a single vector hydrophone;
FIG. 5 is a typhoon wind field sea surface air pressure simulation result diagram of the typhoon wind speed real-time observation method based on a single vector hydrophone;
FIG. 6 is a typhoon wind field sea surface wind speed simulation result diagram of the typhoon wind speed real-time observation method based on a single vector hydrophone;
FIG. 7 is a schematic diagram of a preferred embodiment of the single vector hydrophone based typhoon wind speed real-time observation system of the present application;
FIG. 8 is a schematic view of an operating environment of a preferred embodiment of the typhoon observation device of the present application.
Wherein, each reference sign in the figure: 10. a buoy assembly; 11. a buoy body; 12. a data storage and processing module; 13. a satellite communication module; 20. a vector hydrophone; 30. an optical-electrical composite cable; 40. an anchor block; 50. an acoustic releaser; 60. a land-based center; 70. a memory; 80. a processor; 90. a display; 100. typhoon wind speed real-time observation program based on single vector hydrophone.
Detailed Description
In order to better understand the technical solutions of the present application for those skilled in the art, the method, the system, the typhoon observation device and the computer readable storage medium for real-time typhoon wind speed observation based on the single vector hydrophone provided in the present application are described in further detail below with reference to the accompanying drawings and the detailed description. It is to be understood that the described embodiments are merely some, but not all embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The terms "first," "second," and the like in this application are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
The application provides a typhoon wind speed real-time observation method, a typhoon wind speed real-time observation system, typhoon observation equipment and a computer readable storage medium based on a single vector hydrophone, which are used for solving the problems of high implementation difficulty, high cost and low safety caused by carrying out typhoon observation and prediction through a meteorological reconnaissance plane due to poor observation and prediction precision caused by carrying out typhoon observation and prediction through a satellite remote sensing technology in the prior art.
Referring to fig. 1 to 6, fig. 1 is a flowchart of a preferred embodiment of the typhoon wind speed real-time observation method based on a single vector hydrophone of the present application; FIG. 2 is a schematic structural view of typhoon observation equipment of the present application; FIG. 3 is a schematic diagram of a marine space two-dimensional coordinate system of the typhoon wind speed real-time observation method based on a single vector hydrophone; FIG. 4 is a diagram of a typhoon wind field sea surface wind speed information real-time observation and forecast calculation step of the typhoon wind speed real-time observation method based on a single vector hydrophone;
FIG. 5 is a typhoon wind field sea surface air pressure simulation result diagram of the typhoon wind speed real-time observation method based on a single vector hydrophone; FIG. 6 is a graph of typhoon wind field sea surface wind speed simulation results of the typhoon wind speed real-time observation method based on the single vector hydrophone.
The application provides a typhoon wind speed real-time observation method based on a single-vector hydrophone, which uses typhoon observation equipment to observe, as shown in fig. 2, wherein the typhoon observation equipment comprises a buoy assembly 10, a vector hydrophone 20, a photoelectric composite cable 30 and an anchor block 40. Wherein, the buoy assembly 10 can be arranged on the sea surface, the buoy assembly 10 can comprise a data storage and processing module 12 and a satellite communication module 13, the data storage and processing module 12 is connected with the satellite communication module 13 in a communication way, and the satellite communication module 13 is connected with the shore-based center 60 through satellite communication; the vector hydrophone 20 may be disposed below the buoy assembly 10, and the vector hydrophone 20 may be used to monitor and collect noise sound field data of typhoons, including, but not limited to, noise sound pressure components and vertical velocity components; a photoelectric composite cable 30 may be connected between the buoy assembly 10 and the vector hydrophone 20, the photoelectric composite cable 30 being operable to transmit noisy sound field data to the data storage and processing module 12; anchor block 40 may be disposed on the sea floor, and anchor block 40 may be attached to the end of vector hydrophone 20 remote from buoy assembly 10, anchor block 40 may be used to moor vector hydrophone 20; the satellite communication module 13 may be used for two-way communication with the shore-based center 60, and the data storage and processing module 12 may be used for storing and calculating the noise sound field data to obtain the wind speed of the sea surface above the vector hydrophone.
In some embodiments, the satellite communication module 13 may select iridium communication, or may select other communication modes such as Beidou communication, which can meet the needs.
In some embodiments, the typhoon observation device may further include an acoustic releaser 50, the acoustic releaser 50 may be disposed between the anchor block 40 and the vector hydrophone 20, and the acoustic releaser 50 may be used for secondary recovery of the vector hydrophone 20.
In some embodiments, the buoy assembly 10 includes a buoy body 11, and the data storage and processing module 12 and the satellite communication module 13 are disposed within the buoy body 11, with the buoy body 11 supporting the data storage and processing module 12 and the satellite communication module 13.
In some embodiments, the vector hydrophones 20 may be arranged singly or in a plurality of vector hydrophone 20 arrays as required, so that the detection result is more accurate.
In some embodiments, the vector hydrophone 20 may be designed to be self-contained, recovering the observation equipment after typhoons occur, and obtaining typhoon wind speed information at the shore-based center 60 using the acquired data in the same inversion calculation method.
In some embodiments, as shown in fig. 1, the typhoon wind speed real-time observation method based on the single vector hydrophone comprises the following steps:
Step S100: and arranging typhoon observation equipment on the sea around the typhoon wind field, and acquiring noise sound field data at the arrangement depth of the vector hydrophones in the typhoon environment by using a single vector hydrophone of the typhoon observation equipment.
Specifically, typhoon observation equipment is distributed on the sea, which is away from the typhoon center, of the periphery of the typhoon wind field, or on the sea, which is away from the typhoon center by a first distance, wherein the first distance can be selected to be in the range of 500 to 1000 km, noise sound field data at the distribution depth of the vector hydrophone in the typhoon environment is collected by using a single vector hydrophone, the noise sound field data are transmitted to a data storage and processing module through a photoelectric composite cable, the data storage and processing module transmits the noise sound field data to a satellite communication module, and the satellite communication module transmits the noise sound field data to a shore-based center.
Establishing a two-dimensional coordinate system in the ocean space, as shown in figure 3, wherein each wind-borne noise source excited by typhoon is uniformly distributed at infinite sea level depth z s Where z r The hydrophone is distributed with water depth, and r is the horizontal distance between the hydrophone and the typhoon center.
Step S200: and calculating the real part of the vertical component of the complex noise intensity in real time according to the noise sound field data.
Specifically, the real part of the vertical component of the complex noise intensity is calculated in real time according to the noise sound field data, so that preparation is made for establishing a cost function of the sea surface wind speed above the vector hydrophone.
Wherein the noise sound field data includes a sound pressure component and a vertical vibration velocity component; the step S200: calculating the real part of the vertical component of the noise complex sound intensity in real time according to the noise sound field data, wherein the real part comprises the following specific steps:
acquiring noise sound field data of a first time length, and performing Fourier transform on the sound pressure component and the vertical vibration velocity component of the noise sound field data to obtain a sound pressure complex spectrum and a vertical vibration velocity complex spectrum of the first time length;
calculating the real part of the vertical component of the actual measured noise complex intensity of the vector hydrophone according to the sound pressure complex frequency spectrum and the vertical vibration velocity complex frequency spectrum;
the calculation formula of the real part of the vertical component of the actual measured noise complex intensity is as follows:
wherein I is Actual measurement of z (f,z r ) The real part of the vertical component of the complex sound intensity of the actual measurement noise; f is the center frequency of the signal; re is the real part of the complex number; * Is a complex conjugate symbol;<·>a sliding window average periodic chart is shown; z r The water depth is distributed for the vector hydrophone, r is the horizontal distance from the vector hydrophone to the typhoon center, S p (f,z r ) Is the complex frequency spectrum of sound pressure, S vz (f,z r ) Is the complex frequency spectrum of the vertical vibration velocity.
Specifically, noisy sound field data at the vector hydrophone location including, but not limited to, sound pressure component p (z r ) And a vertical vibration velocity component v z (z r ) Acquiring a first time length t n Carrying out Fourier transform on sound pressure components and vertical vibration velocity components of the noise sound field data to obtain a sound pressure complex spectrum and a vertical vibration velocity complex spectrum with a first time length, and calculating actual measurement noise complex sound intensity vertical component real parts of the vector hydrophone according to a sound pressure complex spectrum mean value and a vertical vibration velocity complex spectrum, wherein the actual measurement noise complex sound intensity vertical component real parts are as follows:
wherein t is n Is the fourier transform time length; f is the center frequency of the signal; re is the real part of the complex number; * Is a complex conjugate symbol;<·>a sliding window average cycle chart is shown.
Step S300: and establishing a wind noise source spectrum intensity model according to an empirical formula.
Specifically, according to an empirical formula, ocean environmental noise and sea surface wind speed, a wind-to-noise source spectrum intensity model is built, and preparation is made for building a simple wave underwater sound propagation model.
Wherein, the step S300: according to an empirical formula, establishing a wind noise source spectrum intensity model specifically comprises the following steps:
Establishing a sea surface wind-borne noise source spectrum intensity model in a typhoon environment according to the frequency and wind speed of a wind-borne noise source in the ocean environment and a wind-borne noise source empirical formula;
the wind noise source spectrum intensity model has the following calculation formula:
SI w (U,f,z s )＝C×f q ×U n ；
z s ＝c w /4f；
wherein SI is w (U,f,z s ) Spectral intensity for wind noise sources; u is the sea surface wind speed, and the parameter optimizing range of U is 4-16; z s Setting the water depth for the noise source; c w The propagation speed of sound waves in a water body at a sound source is given; c is a first parameter; q is a second parameter; n is a third parameter, z s The noise sources are uniformly distributed at the depth of the sea level for each wind under typhoon excitation.
Specifically, the wind-borne noise source is determined by the frequency and the wind speed, and a spectral intensity model SI of the wind-borne noise source at the sea surface in the typhoon environment is built according to the frequency and the wind speed of the wind-borne noise source at the sea environment in the typhoon environment and the empirical formula of the wind-borne noise source at Wilson and Piggott w (U,f,z s ) The expression is:
SI w (U,f,z s )＝C×f q ×U n ；
z s ＝c w /4f；
wherein U is the sea surface wind speed, the parameter optimizing range of U is 4-16, and the U is the parameter to be inverted, and the unit is the section (kn); z s Setting the water depth for the noise source; c w The propagation speed of sound waves in a water body at a sound source is given; c is a first parameter; q is a second parameter; n is a third parameter, and all are parameters to be solved.
Step S400: and establishing a simple wave underwater sound propagation model according to the wind-borne noise source spectrum intensity model.
Specifically, a simple wave underwater sound propagation model is built according to a wind-to-noise source spectrum intensity model, and preparation is made for building a cost function of the sea surface wind speed above the vector hydrophone.
Wherein, the step S400: according to the wind-borne noise source spectrum intensity model, a simple wave underwater sound propagation model is established, and the method specifically comprises the following steps:
according to the wind-borne noise source spectrum intensity model and Jian Zhengbo theory of the sea surface in the typhoon environment, an underwater Jian Zhengbo underwater sound propagation model of the typhoon excited wind-borne noise source at the receiving position of the vector hydrophone is established;
the calculation formula of the underwater Jian Zhengbo underwater sound propagation model is as follows:
k m ＝α m +iβ m ；
wherein I is z (f,z r ) For underwater Jian Zhengbo underwater sound propagation data, ρ=1.0, ρ is the water density, ψ m Is the m-th vertical modal characteristic function, k when the center frequency of the noise source signal is f m For the corresponding modal level propagation eigenvalue, α m Is k m Real part, beta m Is k m Imaginary part, ψ of (v) m And k m For parameters acquired through simulation of a simple wave sound field model, ψ is m ' is the derivative of the characteristic function, i is the imaginary unit, SI w (U,f,z s ,z r ) Wind-induced noise source spectrum intensity corresponding to sea surface wind speed above hydrophone receiving point, U r Is the sea surface wind speed above the hydrophone.
Specifically, according to the established wind-induced noise source spectrum intensity model and Jian Zhengbo theory of the sea surface in the typhoon environment, each wind-induced noise source is assumed to be a uniformly distributed point source and is distributed at the depth of z s On an infinite plane parallel to the sea surface, the marine environment is vertically layered and does not change along with the distance, and when the receiving hydrophone is far away from the typhoon center, the noise sources of each point excited by typhoon are assumed to be mutually differentUnder the action of a wind-borne noise source excited by typhoons, establishing an underwater Jian Zhengbo underwater sound propagation model of the wind-borne noise source excited by typhoons at a vector hydrophone receiving position according to Jian Zhengbo theory:
wherein ρ=1.0, ρ is the water density; psi phi type m Is the m-th vertical modal characteristic function, k when the center frequency of the noise source signal is f m ＝α m +iβ m For the corresponding modal level propagation eigenvalues, ψ m And k m The method comprises the steps of obtaining through Krake simulation calculation of a simple wave sound field model; psi phi type m ' is the derivative of the feature function; i is an imaginary unit; SI (service information indicator) w (U,f,z s ,z r ) Wind-borne noise source spectrum intensity corresponding to the wind speed of the sea surface above the hydrophone receiving point; u (U) r Is the sea surface wind speed above the hydrophone.
Step S500: and establishing a cost function of the sea surface wind speed above the vector hydrophone according to the Jian Zhengbo underwater sound propagation model and the real part of the vertical component of the noise complex sound intensity, and estimating the wind speed of the sea surface above the vector hydrophone.
Specifically, according to a Jian Zhengbo underwater sound propagation model and a noise complex sound intensity vertical component real part, a cost function of the sea surface wind speed above the vector hydrophone is established, a relational model unknown parameter is calculated by inversion of a multi-parameter parallel particle swarm genetic optimization algorithm through a cost function model simulation result and actual measurement calculation data, and the wind speed of the sea surface above the vector hydrophone is estimated.
Wherein, the step S500: according to the Jian Zhengbo underwater sound propagation model and the real part of the vertical component of the noise complex sound intensity, a cost function of the wind speed of the sea surface above the vector hydrophone is established, and the wind speed of the sea surface above the vector hydrophone is estimated, and the method specifically comprises the following steps:
according to the Jian Zhengbo underwater acoustic propagation model and the real part of the vertical component of the noise complex sound intensity, a multi-parameter parallel particle swarm genetic optimization algorithm is adopted in a multi-frequency joint inversion mode, and a cost function of the sea surface wind speed above the vector hydrophone, which is related to the first parameter, the second parameter and the third parameter, is established, so that the optimal first parameter, the second parameter and the third parameter are obtained;
the calculation formula of the cost function is as follows:
wherein E (C, q, n) is a cost function, J represents the number of frequencies used for inversion calculation, and the parameter optimizing range of n is 2.5-3.5.
Specifically, according to a Jian Zhengbo underwater acoustic propagation model and a noise complex sound intensity vertical component real part, a multi-frequency joint inversion mode is utilized, a multi-parameter parallel particle swarm genetic optimization algorithm is adopted in a calculation process, cumulative least squares and errors under J frequencies are calculated to obtain a minimum value of an objective function E (C, q, n), a cost function of the sea surface wind speed above a vector hydrophone on a first parameter, a second parameter and a third parameter is established to obtain the optimal first parameter, the optimal second parameter and the optimal third parameter;
the calculation formula of the cost function is as follows:
wherein J represents the number of frequencies used for inversion calculation, and the parameter optimizing range of n is 2.5-3.5.
Step S600: and receiving typhoon eye air pressure and typhoon eye wall radius information sent by a shore-based center in real time through a satellite, and dynamically calculating sea surface wind speeds at different distances from the typhoon center by combining the real-time wind speeds estimated by the sea surface above the vector hydrophone.
Specifically, typhoon eye air pressure and typhoon eye wall radius information sent by a shore-based center are received in real time through satellites, sea surface wind speeds at different distances from the typhoon center are dynamically calculated in combination with real-time wind speeds estimated by sea surfaces above the vector hydrophones, and the inverted calculated typhoon wind speeds are transmitted to the shore-based center through iridium communication, so that real-time observation and forecast of typhoon wind speed information of a typhoon wind field are realized, and the method is accurate, efficient and easy to apply in engineering;
Wherein, the step S600: the method for dynamically calculating the sea surface wind speeds at different distances from the typhoon center by combining the real-time wind speeds estimated by the sea surface above the vector hydrophone comprises the following steps of:
acquiring the optimal first parameter, the optimal second parameter and the optimal third parameter to obtain the wind speed of the sea surface above the vector hydrophone;
receiving typhoon eye air pressure and typhoon eye wall radius information sent by the shore-based center in real time through a satellite;
and combining the real-time wind speed estimated by the sea surface above the vector hydrophone, the typhoon eye air pressure and the typhoon eye wall radius, and obtaining dynamic calculation expressions of the sea surface wind speeds at different distances from the typhoon center by using a typhoon wind field calculation model to obtain the sea surface wind speed.
Wherein, the dynamic calculation expression of the sea surface wind speed is as follows:
R w ＝A 1/B ；
wherein U (d) is the sea surface wind speed at the vector hydrophone, p n For typhoon eye pressure, p c Is the peripheral air pressure of typhoon wind field, R w For typhoon eye wall radius, e.apprxeq.2.71828, natural constant, ρ a =1.15, air density, a is a first intermediate parameter, B is a second intermediate parameter, d is the horizontal distance from typhoon center at observed wind speed.
Specifically, the optimal first parameter, second parameter and third parameter are obtained, the wind speed of the sea surface above the vector hydrophone is obtained, the information of the typhoon eye air pressure and the typhoon eye area radius sent by the shore-based center is received in real time through a satellite, and according to the wind speed of the sea surface above the vector hydrophone, the typhoon eye air pressure and the typhoon eye area radius, a Holland typhoon wind field calculation model is used for giving a sea surface wind speed real-time calculation expression at the position of the vector hydrophone away from the typhoon center r, the sea surface wind speed is obtained, a typhoon field sea surface air pressure simulation result diagram is shown in fig. 5, and a typhoon field sea surface wind speed simulation result diagram is shown in fig. 6.
The real-time calculation expression of the sea surface wind speed at the vector hydrophone is as follows:
R w ＝A 1/B ；
wherein p is n The unit is Pa, p c Is the peripheral air pressure of typhoon wind field, the unit is Pa (Pa), R w For typhoon eye wall radius, e.apprxeq.2.71828 is a natural constant, ρ a =1.15 is air density, a is a first intermediate parameter, B is a second intermediate parameter, all parameters to be solved, U is obtained by inversion calculation r And (5) calculating and obtaining in real time.
R w 、p n 、p c The distance between the buoy and the typhoon center is obtained remotely from the shore-based center through iridium communication installed on the buoy, the distance d from the typhoon center is further valued within the range of 0-1000km, the sea surface wind speed U (d) under excitation of typhoons with different distances is obtained, and the typhoons wind speed calculated in an inversion mode is transmitted to the shore-based center through iridium communication, so that real-time observation and forecast of typhoons are achieved.
The principle of a typhoon wind speed real-time observation method based on a single vector hydrophone is that as shown in fig. 4, firstly, the vector hydrophone acquires a noise sound pressure component and a vertical vibration velocity component, and calculates the real part of a noise complex sound intensity vertical component; then, a KRAKEN sound field calculation program is utilized to simulate and obtain a simple wave characteristic function and a characteristic value; calculating the wind-borne noise source spectrum intensity of the sea surface by using the constructed relation model; then solving unknown parameters of the relation model by utilizing a multi-parameter parallel particle swarm genetic optimization algorithm; calculating and obtaining the wind speed of the sea surface above the hydrophone; then receiving parameters such as typhoon pressure, eye wall radius and the like sent by a shore-based center through iridium communication; dynamically calculating the sea table wind speeds at different distances from the typhoon center; and finally, sending the calculation result to a shore base in real time through iridium communication.
Referring to fig. 7 to 8, fig. 7 is a schematic diagram of a preferred embodiment of the typhoon wind speed real-time observation system based on a single vector hydrophone according to the present application; FIG. 8 is a schematic view of an operating environment of a preferred embodiment of the typhoon observation device of the present application.
In some embodiments, as shown in fig. 7, based on the foregoing typhoon wind speed real-time observation method based on a single vector hydrophone, the present application further proposes a typhoon wind speed real-time observation system based on a single vector hydrophone, where the typhoon wind speed real-time observation system based on a single vector hydrophone includes:
A noise sound field data acquisition module 51, configured to deploy typhoon observation equipment on the sea around a typhoon wind farm, and acquire noise sound field data at a deployment depth of the vector hydrophone in a typhoon environment by using a single vector hydrophone of the typhoon observation equipment;
the real part of the noise complex sound intensity vertical component calculating module 52 is used for calculating the real part of the noise complex sound intensity vertical component according to the noise sound field data in real time;
the wind-driven noise source spectrum intensity model building module 53 is used for building a wind-driven noise source spectrum intensity model according to an empirical formula;
jian Zhengbo a model building module 54 for building a simple wave acoustic model according to the wind noise source spectrum intensity model;
the above-vector hydrophone sea surface wind speed observation module 55 is used for establishing a cost function of the above-vector hydrophone sea surface wind speed according to the Jian Zhengbo underwater sound propagation model and the real part of the vertical component of the noise complex sound intensity, and estimating the above-vector hydrophone sea surface wind speed;
the real-time sea surface wind speed observation module 56 is used for receiving the typhoon eye air pressure and typhoon eye wall radius information sent by the shore-based center in real time through satellites, and dynamically calculating the sea surface wind speeds at different distances from the typhoon center by combining the real-time wind speeds estimated by the sea surface above the vector hydrophone.
In some embodiments, as shown in fig. 8, based on the typhoon wind speed real-time observation method and system based on the single vector hydrophone, the application also correspondingly provides typhoon observation equipment, which comprises: the single vector hydrophone 20, satellite communications module 13, memory 70, processor 80, display 90, fig. 8 shows only some of the components of the typhoon observation device, but it should be understood that not all of the illustrated components are required to be implemented, and that more or fewer components may be implemented instead.
The memory 70 may in some embodiments be an internal storage unit of the typhoon observation device, such as a hard disk or a memory of the typhoon observation device. The memory 70 may in other embodiments also be an external storage device of the typhoon observation device, such as a plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card) or the like, which is provided on the typhoon observation device. Further, the memory 70 may also include both an internal storage unit and an external storage device of the typhoon observation device. The memory 70 is used for storing application software installed on the typhoon observation device and various data, such as program codes for installing the typhoon observation device. The memory 70 may also be used to temporarily store data that has been output or is to be output.
In an embodiment, the memory 70 stores a typhoon wind speed real-time observation program 100 based on a single vector hydrophone, and the typhoon wind speed real-time observation program 100 based on the single vector hydrophone can be executed by the processor 80, so as to implement the typhoon wind speed real-time observation method based on the single vector hydrophone in the application.
The processor 80 may in some embodiments be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip for running the program code or processing data stored in the memory 70, for example performing the single vector hydrophone based typhoon speed real time observation method and the like.
The display 90 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like in some embodiments. The display 90 is used for displaying information at the typhoon observation device and for displaying a visual user interface. The components 10-30 of the typhoon observation device communicate with each other via a system bus.
The application also provides a computer readable storage medium, wherein the computer readable storage medium stores a typhoon wind speed real-time observation program based on the single-vector hydrophone, and the typhoon wind speed real-time observation program based on the single-vector hydrophone realizes the steps of the typhoon wind speed real-time observation method based on the single-vector hydrophone when being executed by a processor.
In summary, the typhoon observation equipment is arranged on the sea around the typhoon wind field, the single vector hydrophone of the typhoon observation equipment is used for collecting noise sound field data at the arrangement depth of the vector hydrophone in the typhoon environment, the shore-based remote sensing satellite data is used for receiving the noise data in real time, the typhoon wind speed model parameters are dynamically optimized, dynamic calculation and real-time return of the wind speeds of typhoon wind fields with different distances are realized, and the accuracy and the efficiency of typhoon wind speed observation and forecast are effectively improved; secondly, the real part of the vertical component of the complex sound intensity of the noise is calculated in real time according to the data of the sound field of the noise, a wind-borne noise source spectrum intensity model is established according to an empirical formula, a simple wave underwater sound propagation model is established according to the wind-borne noise source spectrum intensity model, a cost function of the wind speed of the sea surface above a vector hydrophone is established according to the Jian Zhengbo underwater sound propagation model and the real part of the vertical component of the complex sound intensity of the noise, the wind speed of the sea surface above the vector hydrophone is estimated, the sea surface noise characteristics of the hydrophone are obtained in a concentrated mode, other noise interference is effectively filtered, implementation difficulty and cost are reduced, and observation and forecast accuracy are improved; finally, the real-time observation and forecast of typhoon wind speed information of the typhoon wind field are realized by receiving typhoon eye pressure and typhoon eye wall radius information transmitted by the shore-based center in real time through the satellite, combining with the real-time wind speed estimated by the sea surface above the vector hydrophone, dynamically calculating the sea surface wind speeds at different distances from the typhoon center, and transmitting the calculation result to the shore-based in real time through iridium communication.
It should be noted that, the various optional implementations described in the embodiments of the present application may be implemented in combination with each other, or may be implemented separately, which is not limited to the embodiments of the present application.
In the description of the present application, it should be understood that the terms "upper," "lower," "left," "right," and the like indicate an orientation or a positional relationship based on that shown in the drawings, and are merely for convenience of description of the present application and for simplification of the description, and do not indicate or imply that the apparatus or element in question must have a specific orientation, as well as a specific orientation configuration and operation. Therefore, it is not to be construed as limiting the present application. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
The embodiments described above are described with reference to the drawings, and other different forms and embodiments are possible without departing from the principles of the present application, and thus the present application should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will convey the scope of the application to those skilled in the art. In the drawings, component dimensions and relative dimensions may be exaggerated for clarity. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting. The terms "comprises," "comprising," and/or "includes," when used in this specification, specify the presence of stated features, integers, components, and/or groups thereof, but do not preclude the presence or addition of one or more other features, integers, components, and/or groups thereof. Unless otherwise indicated, numerical ranges are stated to include the upper and lower limits of the range and any subranges therebetween.
The foregoing description is only a partial embodiment of the present application, and is not intended to limit the scope of the present application, and all equivalent devices or equivalent process transformations made by using the descriptions and the drawings of the present application, or direct or indirect application to other related technical fields, are included in the patent protection scope of the present application.
Claims (10)
1. The typhoon wind speed real-time observation method based on the single-vector hydrophone is characterized by comprising the following steps of:
the typhoon observation equipment is arranged on the sea around a typhoon wind field, and a single vector hydrophone of the typhoon observation equipment is used for collecting noise sound field data at the arrangement depth of the vector hydrophone in the typhoon environment;
calculating the real part of the vertical component of the complex noise intensity in real time according to the noise sound field data;
establishing an wind noise source spectrum intensity model according to an empirical formula;
according to the wind-borne noise source spectrum intensity model, a simple wave underwater sound propagation model is established;
establishing a cost function of the sea surface wind speed above the vector hydrophone according to the Jian Zhengbo underwater sound propagation model and the real part of the vertical component of the noise complex sound intensity, and estimating the wind speed of the sea surface above the vector hydrophone;
and receiving typhoon eye air pressure and typhoon eye wall radius information sent by a shore-based center in real time through a satellite, and dynamically calculating sea surface wind speeds at different distances from the typhoon center by combining the real-time wind speeds estimated by the sea surface above the vector hydrophone.
2. The typhoon wind speed real-time observation method based on a single vector hydrophone according to claim 1, wherein the noise sound field data includes a sound pressure component and a vertical vibration velocity component; the real part of the vertical component of the noise complex sound intensity is calculated in real time according to the noise sound field data, and the method specifically comprises the following steps:
Acquiring noise sound field data of a first time length, and performing Fourier transform on the sound pressure component and the vertical vibration velocity component to obtain a sound pressure complex spectrum and a vertical vibration velocity complex spectrum of the first time length;
calculating the real part of the vertical component of the actual measured noise complex intensity of the vector hydrophone according to the sound pressure complex frequency spectrum and the vertical vibration velocity complex frequency spectrum;
the calculation formula of the real part of the vertical component of the actual measured noise complex intensity is as follows:
wherein I is Actual measurement of z (f,z r ) The real part of the vertical component of the complex sound intensity of the actual measurement noise; f is the center frequency of the signal; re is the real part of the complex number; * Is a complex conjugate symbol;<·>a sliding window average periodic chart is shown; z r The water depth is distributed for the vector hydrophone, r is the horizontal distance from the vector hydrophone to the typhoon center, S p (f,z r ) Is the complex frequency spectrum of sound pressure, S vz (f,z r ) Is the complex frequency spectrum of the vertical vibration velocity.
3. The typhoon wind speed real-time observation method based on the single vector hydrophone according to claim 2, wherein the building of the wind-borne noise source spectrum intensity model according to the empirical formula comprises the following specific steps:
establishing a wind-borne noise source spectrum intensity model of the sea surface in the typhoon environment according to the frequency and wind speed of the wind-borne noise source in the ocean environment and a wind-borne noise source empirical formula;
The wind noise source spectrum intensity model has the following calculation formula:
SI w (U,f,z s )＝C×f q ×U n ；
z s ＝c w /4f；
wherein SI is w (U,f,z s ) Spectral intensity for wind noise sources; u is the sea surface wind speed, and the parameter optimizing range of U is 4-16; z s Setting the water depth for the noise source; c w The propagation speed of sound waves in a water body at a sound source is given; c is a first parameter; q is a second parameter; n is a third parameter, z s The noise sources are uniformly distributed at the depth of the sea level for each wind under typhoon excitation.
4. The typhoon wind speed real-time observation method based on the single vector hydrophone according to claim 3, wherein the establishing a simple wave underwater sound propagation model according to the wind-to-noise source spectrum intensity model specifically comprises the following steps:
according to the wind-borne noise source spectrum intensity model and Jian Zhengbo theory of the sea surface in the typhoon environment, an underwater Jian Zhengbo underwater sound propagation model of the typhoon excited wind-borne noise source at the receiving position of the vector hydrophone is established;
the calculation formula of the underwater Jian Zhengbo underwater sound propagation model is as follows:
k m ＝α m +iβ m ；
wherein I is z (f,z r ) Is underwater simple wave waterAcoustic propagation data, ρ=1.0, ρ is the water density, ψ m Is the m-th vertical modal characteristic function, k when the center frequency of the noise source signal is f m For the corresponding modal level propagation eigenvalue, α m Is k m Real part, beta m Is k m Imaginary part, ψ of (v) m ' is the derivative of the characteristic function, i is the imaginary unit, re is the real part of the complex number, SI w (U,f,z s ,z r ) Wind-induced noise source spectrum intensity corresponding to sea surface wind speed above hydrophone receiving point, U r Is the sea surface wind speed above the hydrophone.
5. The typhoon wind speed real-time observation method based on a single vector hydrophone according to claim 4, wherein the building of a cost function of the wind speed of the sea surface above the vector hydrophone according to the Jian Zhengbo underwater sound propagation model and the real part of the vertical component of the noise complex sound intensity, and the estimating of the wind speed of the sea surface above the vector hydrophone specifically comprise:
according to the Jian Zhengbo underwater acoustic propagation model and the real part of the vertical component of the noise complex sound intensity, a multi-parameter parallel particle swarm genetic optimization algorithm is adopted in a multi-frequency joint inversion mode, and a cost function of the sea surface wind speed above the vector hydrophone, which is related to the first parameter, the second parameter and the third parameter, is established, so that the optimal first parameter, the second parameter and the third parameter are obtained;
the calculation formula of the cost function is as follows:
wherein E (C, q, n) is a cost function, J represents the number of frequencies used for inversion calculation, and the parameter optimizing range of n is 2.5-3.5.
6. The typhoon wind speed real-time observation method based on the single vector hydrophone according to claim 5, wherein the typhoon eye air pressure and typhoon eye wall radius information sent by a shore-based center are received in real time through satellites, and the sea surface wind speeds at different distances from the typhoon center are calculated dynamically by combining the real-time wind speeds estimated by the sea surface above the vector hydrophone, and the method specifically comprises the following steps:
acquiring the optimal first parameter, the optimal second parameter and the optimal third parameter to obtain the wind speed of the sea surface above the vector hydrophone;
receiving typhoon eye air pressure and typhoon eye wall radius information sent by the shore-based center in real time through a satellite;
and combining the real-time wind speed estimated by the sea surface above the vector hydrophone, the typhoon eye air pressure and the typhoon eye wall radius, and obtaining dynamic calculation expressions of the sea surface wind speeds at different distances from the typhoon center by using a typhoon wind field calculation model to obtain the sea surface wind speed.
7. The typhoon wind speed real-time observation method based on the single vector hydrophone according to claim 6, wherein the dynamic calculation expression of the sea surface wind speed is:
R w ＝A 1/B ；
wherein U (d) is the sea surface wind speed at the vector hydrophone, p n For typhoon eye pressure, p c Is the peripheral air pressure of typhoon wind field, R w For typhoon eye wall radius, e.apprxeq.2.71828, natural constant, ρ a =1.15, air density, a is a first intermediate parameter, B is a second intermediate parameter, d is the horizontal distance from typhoon center at observed wind speed.
8. The typhoon wind speed real-time observation system based on the single-vector hydrophone is characterized by comprising:
the noise sound field data acquisition module is used for arranging typhoon observation equipment on the sea around a typhoon wind field, and acquiring noise sound field data at the arrangement depth of the vector hydrophone in a typhoon environment by using a single vector hydrophone of the typhoon observation equipment;
the real part calculating module of the noise complex sound intensity vertical component is used for calculating the real part of the noise complex sound intensity vertical component in real time according to the noise sound field data;
the wind-driven noise source spectrum intensity model building module is used for building a wind-driven noise source spectrum intensity model according to an empirical formula;
jian Zhengbo underwater acoustic propagation model building module for building a simple wave underwater acoustic propagation model according to the wind noise source spectrum intensity model;
the vector hydrophone upper sea surface wind speed observation module is used for establishing a cost function of the vector hydrophone upper sea surface wind speed according to the Jian Zhengbo underwater sound propagation model and the real part of the noise complex sound intensity vertical component, and estimating the wind speed of the vector hydrophone upper sea surface;
The sea surface wind speed real-time observation module is used for receiving the typhoon eye air pressure and typhoon eye wall radius information sent by the shore-based center in real time through satellites, and dynamically calculating the sea surface wind speeds at different distances from the typhoon center by combining the real-time wind speeds estimated by the sea surface above the vector hydrophone.
9. A typhoon observation device, characterized in that the typhoon observation device comprises: the method for observing the typhoon wind speed based on the single vector hydrophone comprises a single vector hydrophone, a satellite communication module, a memory, a processor and a typhoon wind speed real-time observation program based on the single vector hydrophone, wherein the typhoon wind speed real-time observation program based on the single vector hydrophone is stored in the memory and can be operated on the processor, and the steps of the typhoon wind speed real-time observation method based on the single vector hydrophone are realized when the typhoon wind speed real-time observation program based on the single vector hydrophone is executed by the processor.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores a single-vector hydrophone-based typhoon wind speed real-time observation program, which when executed by a processor, implements the steps of the single-vector hydrophone-based typhoon wind speed real-time observation method according to any one of claims 1 to 7.
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