Environment parameter dynamic modeling and simulation method for air-sea cross-domain communication teaching

Abstract

The application discloses an environment parameter dynamic modeling and simulation method for air-sea cross-domain communication teaching, and belongs to the technical field of communication teaching and simulation, and comprises the following steps: screening environment parameters and initializing setting; designing a dynamic parameter coupling update mechanism, which is used for realizing dynamic update of the environment parameters according to an environment parameter association rule and an adaptive update step; constructing a teaching scene customization and interaction system; after obtaining an air-sea cross-domain communication teaching scene template matched with the environment parameters by adjusting the environment parameters in real time, the change of a communication index, namely a simulation result, is updated in real time; and the simulation result is visualized. Through the layered modeling, parameter coupling update, scene customization and interaction and other means, the application realizes accurate simulation of the influence of the environment parameters on the air-sea cross-domain communication, provides an intuitive and efficient simulation tool for teaching, and helps students to deeply understand the air-sea cross-domain communication principle.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of communication teaching and simulation, and specifically relates to an environment parameter dynamic modeling and simulation method for air-sea cross-domain communication teaching. BACKGROUND

[0002] The air-sea cross-domain environment is a complex dynamic system composed of atmosphere, ocean and air-sea interface. Environmental factors such as atmospheric turbulence, evaporation duct, sea wave movement and sound speed distribution have a significant impact on the propagation of radio waves and sound waves. In air-sea cross-domain communication teaching, students need to clearly understand the impact of atmospheric and oceanic environmental parameters on communication signal transmission. However, the existing related technology has many shortcomings.

[0003] Traditional simulation methods often separate atmospheric and oceanic environments without fully considering their interaction and parameter coupling, resulting in a large deviation between simulation results and actual situations.

[0004] At the same time, environmental parameters are often fixed values that cannot dynamically reflect real-time changes in air-sea environments, such as sea wave fluctuations and atmospheric turbulence disturbances, making it difficult for students to understand the impact mechanism of dynamic environments on communication. In addition, existing simulation tools lack customization functions for teaching scenarios and cannot meet the individualized settings of different teaching stages and teaching needs, limiting the improvement of teaching effectiveness. SUMMARY

[0005] The present application aims to solve the problems of low modeling parameter precision, poor real-time interactivity and weak teaching scenario adaptability in the prior art, and proposes an environment parameter dynamic modeling and simulation method for air-sea cross-domain communication teaching. By constructing an air-sea cross-domain environment hierarchical modeling framework, designing a dynamic parameter coupling update mechanism, constructing a teaching scenario customization and interaction system and simulation result visualization, precise and dynamic simulation of air-sea cross-domain communication environment is realized, providing a more realistic simulation environment for teaching and helping students better master air-sea cross-domain communication knowledge.

[0006] The technical solution adopted by the present application is as follows:

[0007] An environment parameter dynamic modeling and simulation method for air-sea cross-domain communication teaching, comprising the following steps:

[0008] S1) Screen environmental parameters and initialize settings;

[0009] S2) Based on the environmental parameters, construct an air-sea cross-domain environment hierarchical framework, including an atmospheric channel layer, an ocean channel layer and an air-sea interface layer;

[0010] S3) Design a dynamic parameter coupling update mechanism to realize dynamic update of environmental parameters according to environmental parameter association rules and adaptive update step.

[0011] S4) constructing a teaching scene customization and interaction system, after obtaining the air-sea cross-domain communication teaching scene template matched with the environmental parameters by adjusting the environmental parameters in real time, updating the changes of the communication indexes in real time, i.e. the simulation results;

[0012] S5) visualizing the simulation results.

[0013] Preferably, in the step S2), the air-sea cross-domain environmental hierarchical framework includes an atmospheric channel layer, an ocean channel layer and an air-sea interface layer, and the specific construction process is as follows:

[0014] 1) atmospheric channel layer

[0015] The atmospheric channel layer includes an atmospheric turbulence model and an evaporation waveguide model, which are used to reflect the influence of atmospheric conditions on radio wave scattering, attenuation and propagation path;

[0016] Atmospheric turbulence model: considering the influence of atmospheric turbulence on radio wave scattering and attenuation, the refractive index structure constant is used to describe the turbulence intensity, and the refractive index structure constant changes with height The calculation formula of the atmospheric turbulence model is:

[0017] ,

[0018] wherein, is the wind speed;

[0019] In the formula, the greater the wind speed, the more intense the irregular movement of the atmosphere, the stronger the turbulence intensity, and the more significant the influence of radio wave scattering and attenuation, so the wind speed reflects this influence in the form of a square term; is the height, and the height term indicates that with the increase of the height, the influence of turbulence on radio wave is relatively weakened; the atmospheric turbulence model can reflect the atmospheric turbulence intensity characteristics at different heights and wind speeds, and provide a quantitative basis for analyzing the influence of atmospheric turbulence on radio wave propagation;

[0020] Evaporation waveguide model: considering the influence of evaporation waveguide on radio wave propagation, the modified is used to construct the evaporation waveguide model, and then the evaporation waveguide height is calculated, and the calculation formula is:

[0021] ,

[0022] wherein, is the sea surface temperature, is the atmospheric temperature;

[0023] In the formula, the wind speed affects the sea surface water vapor evaporation and diffusion, and the 1.5 power term reflects the nonlinear effect of the wind speed on the evaporation duct height; the temperature difference between the sea surface temperature and the atmospheric temperature is an influencing factor for the formation of the duct, and the -0.5 power term indicates that when the temperature difference increases, the sea surface water vapor evaporates faster, and the evaporation duct height decreases; the evaporation duct height calculated by the evaporation duct model can accurately simulate the formation and change of the evaporation duct under different meteorological conditions (such as different wind speeds, sea surface temperature and temperature difference between the atmospheric temperature), and further analyze its influence on the radio wave propagation path;

[0024] 2) Ocean channel layer

[0025] The ocean channel layer includes a sea wave model and a sound speed profile model, which are used to provide a basis for analyzing the influence of sea waves on signals and underwater acoustic communication simulation;

[0026] Sea wave model: based on spectrum to build a sea wave model to describe the energy distribution and wave height characteristics of sea waves, and to calculate the root mean square wave height The formula for the relationship between the root mean square wave height and the wind speed is:

[0027] ,

[0028] ,

[0029] wherein, is the wave period;

[0030] In the formula for the relationship between the root mean square wave height and the wind speed, the greater the wind speed, the greater the wave height, and the square term reflects the positive correlation; in the formula for the relationship between the wave period and the wind speed, the 0.7 power term reflects the influence law of the wind speed on the period; the sea wave model can dynamically generate sea wave patterns under different wind speeds, and provides a basis for analyzing the reflection and scattering of sonar signals and radio signals by sea waves;

[0031] Sound speed profile model: to describe the relationship between sound speed and various environmental factors, an empirical formula is used to calculate the sound speed The calculation formula is:

[0032] ,

[0033] wherein, is the seawater temperature, is the salinity, is the depth;

[0034] ​In the formula, the influence of seawater temperature on sound speed is a complex nonlinear relationship, and the first, second and third terms in the formula reflect the change of the influence of temperature on sound speed in different temperature intervals; salinity is positively correlated with sound speed, and the contribution of salinity to sound speed is calculated by combining the temperature-related coefficient; and the sound speed increases linearly with depth; the sound speed profile model can accurately reflect the change of sound speed in seawater with environmental parameters (such as seawater temperature, salinity and depth), is crucial for underwater acoustic communication simulation, and can provide the basis for the design of underwater acoustic communication system according to the sound speed distribution;

[0035] 3) Air-sea interface layer

[0036] The air-sea interface layer includes a sea surface reflection model and a sea-air exchange model, which are used to reflect the influence of sea surface reflection on signals and simulate the heat and momentum exchange between the sea surface and the atmosphere;

[0037] Sea surface reflection model: To describe the influence of sea surface reflection on signal transmission, a sea surface reflection model considering the actual reflection coefficient , incident angle and sea surface roughness is constructed, and the calculation formula is:

[0038] ,

[0039] wherein is the reflection coefficient of ideal smooth sea surface, is the wave number, is the exponential term;

[0040] In the formula, the reflection coefficient of ideal smooth sea surface is taken as the reference; the wave number is related to the signal wavelength, and the greater the wave number, the more obvious the influence of sea surface roughness on reflection may be; the root mean square wave height is a sea surface roughness related parameter (such as the root mean square wave height of sea waves), and the rougher the sea surface, the greater the influence on reflection; reflects the influence of incident angle on reflection; the exponential term is a correction to the ideal reflection coefficient, and when the sea surface roughness increases, the actual reflection coefficient decreases and the signal reflection weakens; the sea surface reflection model can reflect the reflection effect under different incident angles and sea surface roughness, and provide a basis for analyzing the influence of sea surface reflection on signal transmission;

[0041] Sea-air exchange model: To simulate the heat and momentum exchange between the sea surface and the atmosphere, which has an impact on the dynamic changes of atmospheric and marine environmental parameters; and these environmental parameters will further affect the air-sea signal transmission process; to simulate the energy exchange between the sea and the atmosphere, a sea-air exchange model based on the heat exchange flux , sea surface temperature and atmospheric temperature difference is constructed, and the calculation formula is:

[0042] ,

[0043] in, The commutation coefficient;

[0044] The exchange coefficient is related to factors such as sea surface conditions and atmospheric flow, and determines the rate of heat exchange. It is the driving force of heat exchange; the greater the temperature difference, the more intense the heat exchange. The air-sea exchange model can realize the coupled updating of atmospheric and marine environmental parameters, making the simulation closer to reality and providing environmental parameter interaction basis for the dynamic simulation of the entire air-sea cross-domain environment.

[0045] Preferably, in step S3), the specific process of designing the dynamic parameter coupling update mechanism is as follows:

[0046] The dynamic parameter coupling update mechanism includes environmental parameter association rules and adaptive update step size;

[0047] 1) Environmental parameter association rules

[0048] In air and sea environments, various environmental parameters are interconnected and closely related, enabling coordinated changes in multiple parameters. This includes the following parameter correlation rules:

[0049] ① Wind speed correlation: Wind speed is an important parameter affecting the air and sea environment, and it is significantly correlated with parameters in atmospheric turbulence models, ocean wave models, evaporation waveguide models, etc.; when wind speed changes, the corresponding model formulas are updated synchronously. Parameters such as these can be used to achieve coordinated changes in multiple parameters; for example, when the wind speed increases from 5 m / s to 10 m / s, according to the atmospheric turbulence model... It will increase, according to the evaporation waveguide model. It will also increase accordingly, according to the wave model. It became four times its original size;

[0050] ② Temperature correlation: Changes in sea surface temperature and atmospheric temperature affect the evaporation waveguide height and air-sea exchange flux; when the temperature difference... When changes occur, updates can be made promptly. and The value is used to reflect the dynamic changes in the environment;

[0051] 2) Adaptive update step size

[0052] In air and sea environment simulations, the rates of change of environmental parameters differ, and different simulation accuracy requirements necessitate different update frequencies. To optimize computational efficiency while ensuring simulation accuracy, an adaptive update step size is adopted. Control the update interval to meet the rate of change of environmental parameters and simulation accuracy requirements; when parameters change drastically, reduce... Increase the update frequency; when parameter changes are gradual, increase... , reduce the amount of calculation, thereby optimizing the simulation efficiency; calculate the adaptive update step The formula is:

[0053] ,

[0054] Wherein, is the wave period, is the atmospheric turbulence integral scale.

[0055] Preferably, in the step S4), the teaching scene customization and interaction system is constructed, including a scene template library and a parameter adjustment interface, and specifically as follows:

[0056] 1) Scene template library

[0057] A plurality of typical air-sea cross-domain communication teaching scene templates are constructed, such as a calm sea surface scene, a high wind and wave scene, an evaporation waveguide scene, etc. Each scene template is pre-set with corresponding initial values and variation ranges of environmental parameters, facilitating direct calling. For example, in the high wind and wave scene, the pre-set wind speed is 15-25 m / s, and the root mean square wave height is 4-6 m. Through the scene template library, different typical scenes can be quickly switched without manually defining environmental parameters one by one, thereby improving the teaching preparation efficiency and the pertinence of scene display.

[0058] 2) Parameter adjustment interface

[0059] An intuitive parameter adjustment interface is designed to enhance the interactivity in the teaching process, enabling independent exploration of the influence of environmental parameters on communication, and real-time adjustment of environmental parameters such as wind speed and temperature through methods such as sliding bars and input boxes. The system updates the simulation results in real time according to the parameter changes, and displays the changes of communication indicators in a graphical manner, deepening the understanding of the influence of environmental parameters on communication.

[0060] Preferably, in the step S5), the simulation results are visualized, and specifically as follows:

[0061] To visualize the abstract air-sea cross-domain communication process and performance indicators, three-dimensional visualization technology is used to display the air-sea cross-domain communication scene and signal propagation trajectory. The changes in signal strength are represented by different colors and line thicknesses, and the propagation path, reflection and scattering of signals in the atmosphere and ocean are presented intuitively. At the same time, data statistics charts are provided, such as signal attenuation curves with distance, comparison bar charts of bit error rate under different parameters, etc., facilitating the analysis of the communication influence of environmental parameters and the summary of rules.

[0062] Compared with the prior art, the present application proposes an environmental parameter dynamic modeling and simulation method for air-sea cross-domain communication teaching, which has the following advantages:

[0063] (1) High simulation accuracy: The system breaks through the limitations of traditional single model, builds a hierarchical modeling framework of air-sea cross-domain environment, and designs a dynamic parameter coupling update mechanism, which can accurately reflect the complex characteristics and dynamic changes of the air-sea cross-domain environment. The deviation between the simulation results and the actual measurement data is less than 8% through actual measurement verification. It not only can accurately simulate communication phenomena such as signal attenuation and time delay jitter, but also can provide high-credibility data support for principle demonstration and experimental verification in teaching, and provides reliable simulation basis for teaching.

[0064] (2) Strong teaching pertinence: According to different teaching stages and audience needs, the teaching scene customization and interaction system provides rich teaching scene templates and parameter adjustment functions to meet the needs of different teaching contents and teaching objects. Students can intuitively feel the influence of environmental parameters on communication through interactive operation, deepen the understanding of air-sea cross-domain communication principles, improve learning interest and effect, and significantly improve the understanding depth of air-sea cross-domain communication key technologies.

[0065] (3) Good scalability: Modular design is adopted, and data interaction is realized between modules through standardized interfaces, which reduces the functional coupling degree and facilitates the addition of new environmental factor models or communication protocol models according to the development of technology and the needs of teaching without large-scale adjustment of the whole system, which adapts to the development of air-sea cross-domain communication technology and the update of teaching content. BRIEF DESCRIPTION OF DRAWINGS

[0066] Figure 1 The flowchart of the environment parameter dynamic modeling and simulation method for air-sea cross-domain communication teaching of the present application;

[0067] Figure 2 The schematic diagram of building a hierarchical modeling framework of air-sea cross-domain environment proposed by the present application. DETAILED DESCRIPTION

[0068] The technical solutions in the embodiments of the present application will be further described in detail below with reference to the drawings in the embodiments of the present application. It should be noted that the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0069] In order to make the purposes, technical solutions and advantages of the present application clearer, the embodiments of the present application will be further described in detail below with reference to the drawings of the specification. In order to more clearly understand the above purposes, features and advantages of the present application, the advantages of the present application will be further illustrated by comparing embodiments with reference to the drawings and specific embodiments.

[0070] The application provides an environment parameter dynamic modeling and simulation method for air-sea cross-domain communication teaching.

[0071] S1) screen environment parameters and initialize settings;

[0072] S2) based on the environment parameters, an air-sea cross-domain environment hierarchical framework is constructed, including an atmospheric channel layer, an ocean channel layer and an air-sea interface layer;

[0073] In the step S2), the air-sea cross-domain environment hierarchical framework includes the atmospheric channel layer, the ocean channel layer and the air-sea interface layer, and the specific construction process is as follows:

[0074] 1) atmospheric channel layer

[0075] The atmospheric channel layer includes an atmospheric turbulence model and an evaporation waveguide model, and is used for reflecting the influence of atmospheric conditions on radio wave scattering, attenuation and propagation path;

[0076] Atmospheric turbulence model: atmospheric turbulence is irregular airflow movement in the atmosphere, which can cause scattering and attenuation of radio wave propagation, and seriously affect the quality and stability of communication or detection signals; considering the influence of atmospheric turbulence on radio wave scattering and attenuation, the refractive index structure constant is used to describe the turbulence intensity, and the refractive index structure constant changes with height The atmospheric turbulence model changes with height , sea surface temperature , atmospheric temperature , according to the atmospheric turbulence model , when , the calculation formula of the atmospheric turbulence model is:

[0077] ,

[0078] The atmospheric turbulence model can reflect the atmospheric turbulence intensity characteristics at different heights and wind speeds, and provide quantitative basis for analyzing the influence of atmospheric turbulence on radio wave propagation;

[0079] Evaporation waveguide model: evaporation waveguide is a common atmospheric abnormal refraction phenomenon above the sea surface due to water vapor evaporation and other factors, which can cause radio wave to propagate in the waveguide layer by super-refraction, change the propagation path and coverage range of radio wave, and has important influence on radio wave propagation; considering the influence of evaporation waveguide on radio wave propagation, the evaporation waveguide model is constructed based on the modified , and the evaporation waveguide height is calculated, the initial wind speed is set, the sea surface temperature is set, and the atmospheric temperature is set, and the calculation formula of the evaporation waveguide model is:

[0080] ,

[0081] The evaporation duct model can accurately simulate the formation and changes of the evaporation duct under different meteorological conditions (such as different wind speeds, the difference between sea surface temperature and atmospheric temperature), and further analyze its influence on the radio wave propagation path;

[0082] 2) Ocean channel layer

[0083] The ocean channel layer includes a sea wave model and a sound speed profile model, which are used to provide a basis for analyzing the influence of sea waves on signals and underwater acoustic communication simulation;

[0084] Sea wave model: Sea waves are periodic fluctuations on the surface of the ocean, which can reflect, scatter, and other effects on sonar signals and radio signals, affecting the transmission of electrical signals; Based on The spectrum is used to build a sea wave model to describe the energy distribution and wave height characteristics of sea waves, and the initial wind speed is calculated, and the formula for calculating the root mean square wave height of sea waves is as follows:

[0085] ,

[0086] ,

[0087] where, is the wave period;

[0088] This sea wave model can dynamically generate sea wave patterns under different wind speeds, providing a basis for analyzing the reflection and scattering effects of sea waves on sonar signals and radio signals;

[0089] Sound speed profile model: The distribution of sound speed in seawater is affected by temperature, salinity, and depth, and changes in these factors will directly affect underwater acoustic communication of sound waves in seawater; To describe the relationship between sound speed and environmental factors, an empirical formula is used to calculate the sound speed , the initial salinity , the depth , and the calculation formula according to the sound speed profile model is as follows:

[0090] ,

[0091] This sound speed profile model can accurately reflect the changes of sound speed in seawater with environmental parameters (such as seawater temperature, salinity, and depth), which is crucial for underwater acoustic communication simulation, and can provide sound speed distribution basis for the design of underwater acoustic communication systems;

[0092] 3) Air-sea interface layer ​​

[0093] The air-sea interface layer includes a sea surface reflection model and a sea-air exchange model, which are used to reflect the influence of sea surface reflection on signals and simulate the heat and momentum exchange between the sea surface and the atmosphere.

[0094] The sea surface reflection model: the sea surface, as the interface between the atmosphere and the ocean, has reflection characteristics that can significantly affect the transmission of signals (such as radio signals, light wave signals, etc.) between air and sea. To describe the influence of sea surface reflection on signal transmission, a sea surface reflection model is constructed that considers the actual reflection coefficient , the incident angle , and the sea surface roughness. The incident angle , the wave number , and the signal wavelength are taken as , and , then , the ideal reflection coefficient , and the calculation formula of the sea surface reflection model is:

[0095] ,

[0096] This sea surface reflection model can reflect the reflection effect under different incident angles and sea surface roughness, providing a basis for analyzing the influence of sea surface reflection on signal transmission.

[0097] The sea-air exchange model: to simulate the heat and momentum exchange between the sea surface and the atmosphere, which affects the dynamic changes of atmospheric and marine environmental parameters. These environmental parameters further affect the air-sea signal transmission process. To simulate this energy exchange between sea and air, a sea-air exchange model is constructed based on the heat exchange flux , sea surface temperature, and atmospheric temperature difference. The calculation formula is:

[0098] ,

[0099] where is the exchange coefficient;

[0100] where the exchange coefficient is related to factors such as sea surface conditions and atmospheric flow, determining the rate of heat exchange; is the driving force of heat exchange, and the larger the temperature difference, the more intense the heat exchange. Through the sea-air exchange model, the coupling update of atmospheric and marine environmental parameters can be realized, making the simulation more realistic and providing environmental parameter interaction basis for the dynamic simulation of the entire air-sea cross-domain environment.

[0101] S3) Design a dynamic parameter coupling update mechanism to realize the dynamic update of environmental parameters according to environmental parameter correlation rules and adaptive update step size.

[0102] Specifically, in step S3), the specific process of designing the dynamic parameter coupling update mechanism is as follows:

[0103] The dynamic parameter coupling update mechanism includes environmental parameter association rules and adaptive update step;

[0104] 1) Environmental parameter association rules

[0105] In the air-sea environment, various environmental parameters interact and are closely related to each other, and the coordinated change of multiple parameters can be achieved, including the following parameter association rules:

[0106] ① Wind speed association: Wind speed is an important parameter affecting the air-sea environment, and is significantly associated with parameters in atmospheric turbulence models, sea wave models, and evaporation duct models. When the wind speed changes, the corresponding model formula is updated simultaneously to update the parameters, achieving coordinated change of multiple parameters. For example, when the wind speed increases from 8 m / s to 12 m / s, triggering parameter update, according to the atmospheric turbulence model correspondingly increases; according to the calculation of the sea wave model , , ; according to the calculation of the evaporation duct model, also increases ;

[0107] ② Temperature association: Changes in sea surface temperature and atmospheric temperature will affect the evaporation duct height and sea-air exchange flux. When the temperature difference changes, the values of and can be updated in time to reflect the dynamic changes of the environment;

[0108] 2) Adaptive update step

[0109] In the air-sea environment simulation process, the change rate of environmental parameters is different, and different simulation accuracy requirements also require different update frequencies. To ensure simulation accuracy while optimizing calculation efficiency, an adaptive update step is used to control the time interval of updates to meet the change rate of environmental parameters and simulation accuracy requirements. When the parameter changes dramatically, the update frequency is reduced , and when the parameter changes smoothly, the calculation amount is reduced , thereby optimizing simulation efficiency. Assuming , the formula for calculating the adaptive update step is:

[0110] ,

[0111] S4) Construct a teaching scene customization and interaction system. After obtaining the air-sea cross-domain communication teaching scene template matching the environmental parameters by adjusting the environmental parameters in real time, the changes in communication indicators, i.e., simulation results, are updated in real time.

[0112] Specifically, in the step S4), the teaching scene customization and interaction system is constructed, including a scene template library and a parameter adjustment interface, as follows:

[0113] 1) Scene template library

[0114] Typical air-sea cross-domain communication teaching scene templates are constructed, such as calm sea surface scene, heavy sea wave scene, evaporation waveguide scene, etc. Each scene template is pre-set with initial values and variation ranges of corresponding environmental parameters, facilitating direct calling. For example, in the heavy sea wave scene, the pre-set wind speed is 15-25 m / s, and the root mean square wave height is 4-6 m. Through the scene template library, different typical scenes can be quickly switched without manually defining environmental parameters one by one, improving the efficiency of teaching preparation and the pertinence of scene display.

[0115] 2) Parameter adjustment interface

[0116] An intuitive parameter adjustment interface is designed to enhance the interactivity in the teaching process, enabling independent exploration of the impact of environmental parameters on communication. Environmental parameters such as wind speed and temperature can be adjusted in real time through methods such as sliding bars and input boxes. The system updates the simulation results in real time according to parameter changes and displays the changes in communication indicators in a graphical manner, deepening the understanding of the impact of environmental parameters on communication.

[0117] 3) Teaching scene interaction examples

[0118] For example, the teacher selects the "evaporation waveguide influence" teaching scene, and the system loads the corresponding template. The initial setting makes the evaporation waveguide height ; the student increases the sea surface temperature from 25°C to 30°C, and the system calculates increases, while displaying the changes in radio wave propagation path, signal coverage range expansion, and error rate reduction. By observing the simulation results, the student understands the positive impact of the evaporation waveguide on air-sea cross-domain communication.

[0119] For another example, in the "heavy sea wave interference" scene, the student adjusts the wind speed slider to increase the wind speed from 10 m / s to 20 m / s, and the system updates the sea wave parameters in real time, showing the phenomenon of signal attenuation intensification after sound wave reflection on rough sea surface and the decline of communication quality, helping the student understand the adverse impact of heavy sea wave environment on underwater communication.

[0120] S5) Visualize the simulation results to make the abstract air-sea cross-domain communication process and performance indicators concrete.

[0121] Specifically, in the step S5), the simulation results are visualized as follows:

[0122] To visualize the abstract process of air-sea cross-domain communication and performance indicators, three-dimensional visualization technology is used to show the air-sea cross-domain communication scene and signal propagation trajectory. The change of signal strength is represented by different colors and line thickness, and the propagation path, reflection and scattering of signals in the atmosphere and ocean are intuitively presented. At the same time, data statistics charts are provided, such as the signal attenuation curve with distance, the comparison column chart of bit error rate under different parameters, etc., which are convenient for analyzing the communication influence of environmental parameters and summarizing the law.

[0123] While the preferred embodiments of the application have been described, additional modifications and changes can occur to those skilled in the art once they learn of the basic creative principles disclosed herein. Accordingly, it is intended that the present application be construed as including all such modifications and changes as fall within the scope of the present application.

[0124] Obviously, various modifications and changes can be made to the present application without departing from the spirit and scope thereof. Accordingly, it is intended that the present application embrace all such modifications and changes as fall within the scope of the appended claims and their equivalents.

Claims

1. A method for dynamic modeling and simulation of environmental parameters for teaching cross-domain air-sea communication, characterized in that, include: S1) Filter environment parameters and initialize settings; S2) Based on environmental parameters, a layered framework for the air-sea cross-domain environment is constructed, including the atmospheric channel layer, the ocean channel layer, and the air-sea interface layer; S3) Design a dynamic parameter coupling update mechanism to achieve dynamic updating of environmental parameters based on environmental parameter association rules and adaptive update step size; The specific process of designing a dynamic parameter coupling update mechanism is as follows: The dynamic parameter coupling update mechanism includes environmental parameter association rules and adaptive update step size; 1) Environmental parameter association rules Based on the air-sea cross-domain environmental stratification framework, wind speed and temperature are correlated with other parameters to achieve coordinated changes in multiple parameters; 2) Adaptive update step size Adaptive update step size Optimize the rate of change of parameters and simulation accuracy; when parameters change drastically, reduce... Increase the update frequency; when parameter changes are gradual, increase... Reduce computational load and adaptively update step size The calculation formula is: ， in, For wave cycles, The integral scale is for atmospheric turbulence. S4) Construct a teaching scenario customization and interaction system. After obtaining a teaching scenario template for cross-domain air and sea communication that matches the environmental parameters by adjusting the environmental parameters in real time, update the changes in communication indicators in real time, i.e., the simulation results. S5) Visualize the simulation results.

2. The method for dynamic modeling and simulation of environmental parameters for teaching cross-domain air-sea communication according to claim 1, characterized in that, In step S2), the air-sea cross-domain environment layering framework includes an atmospheric channel layer, an ocean channel layer, and an air-sea interface layer. The specific construction process is as follows: 1) Atmospheric channel layer The atmospheric channel layer includes atmospheric turbulence models and evaporation waveguide models, which are used to reflect the influence of atmospheric conditions on radio wave scattering, attenuation and propagation path. Atmospheric turbulence model: Constructing the refractive index structure constant With altitude The formula for calculating the varying atmospheric turbulence model is as follows: ， in, Wind speed; Evaporated waveguide model: based on modification Construct an evaporation waveguide model and then calculate the height of the evaporation waveguide. The calculation formula is as follows: , in, Sea surface temperature, Atmospheric temperature; 2) Oceanic Channel Layer The ocean channel layer includes wave models and sound velocity profile models, which provide a basis for analyzing the impact of waves on signals and for underwater acoustic communication simulation. Wave model: based on Construct a wave model based on the spectrum and calculate the root mean square wave height. With wind speed The formula for the relationship is: ， ， in, It is a wave cycle; Sound speed profile model: Based on the relationship between sound speed and various environmental factors, empirical formulas are used to calculate the sound speed. The calculation formula is as follows: ， in, For seawater temperature, Salinity For depth; 3) Air-sea interface layer The air-sea interface layer includes a sea surface reflection model and an air-sea exchange model, which are used to reflect the impact of sea surface reflection on signals and to simulate the heat and momentum exchange between the sea surface and the atmosphere. Sea surface reflection model: based on reflection coefficient Angle of incidence A sea surface reflection model is constructed based on the relationship with sea surface roughness, and the calculation formula is as follows: ， in, The reflectance of an ideally smooth sea surface. For wave number, For the exponential term; Air-sea exchange model: Constructing a heat exchange flux-based model The air-sea exchange model for the temperature difference between sea surface and atmospheric temperatures is calculated using the following formula: , in, is the commutation coefficient.

3. The method for dynamic modeling and simulation of environmental parameters for teaching cross-domain air-sea communication according to claim 1, characterized in that, In step S4), the construction of the teaching scenario customization and interaction system includes a scenario template library and a parameter adjustment interface, as detailed below: 1) Scene Template Library Design a variety of typical teaching scenario templates for cross-domain air and sea communication, and build a scenario template library. Each scenario template has preset initial values ​​and variation ranges of corresponding environmental parameters for easy access. 2) Parameter adjustment interface The system features an intuitive parameter adjustment interface that allows for real-time adjustment of environmental parameters. The system updates simulation results in real time based on parameter changes and displays the changes in communication indicators graphically to illustrate cross-domain communication scenarios and signal propagation trajectories between air and sea.

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