Ocean current motion science popularization simulation system

Abstract

The invention relates to the technical field of ocean science education, in particular to an ocean current motion science popularization simulation system. Comprising a power simulation unit, a water flow control unit, a visualization unit and an interaction control unit, wherein the power simulation unit is used for comprehensively simulating various power sources and interaction of ocean current motion through a multi-power coupling simulation system and a green energy-saving driving device. By arranging the wind power simulation module, the thermohaline driving module and the earth rotation force simulation module, main driving force influencing ocean current in nature and interaction of the main driving force can be comprehensively simulated. Especially, a dual ground rotation force simulation mechanism based on a rotating platform and algorithm correction is introduced, so that the abstract Coriolis force effect is visually presented, and the teaching authenticity and scientific interpretation strength of the ocean phenomenon are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of marine science education, and specifically to a popular science simulation system for ocean current movement. Background Art

[0002] Ocean current movement, also known as ocean current motion, refers to the large-scale seawater flow phenomenon in the ocean with relatively stable flow velocity and direction. Its formation is affected by the combined action of various factors. Among them, wind force is one of the main driving forces. The wind blows across the sea surface, pushing the surface seawater to form wind-driven currents; the differences in temperature and salinity will cause changes in seawater density, thereby triggering density currents. For example, between different sea areas, due to different temperature and salinity levels, seawater will flow due to density differences. In addition, the Coriolis force also has an important impact on the direction of ocean currents, causing ocean currents to deflect under the action of the Earth's rotation. Ocean current movement not only plays a key role in the global heat transfer and climate regulation, promoting the heat exchange between high and low latitudes and affecting the global climate distribution pattern, but also has profound significance for the marine ecosystem, providing a suitable living environment and migration channels for marine organisms. At the same time, it also has an important impact on human activities such as the distribution of fishery resources and ocean navigation. Given the importance of ocean current movement, it is particularly crucial to carry out popular science education on it and help the public deeply understand the relevant knowledge. At present, although certain achievements have been made in the development of ocean current popular science and simulation technologies, there are still many problems to be solved. In the existing technology, there is a problem of single power simulation in ocean current popular science. Most devices can only simulate one of the wind-driven current or the thermohaline current, and it is difficult to show the real state of ocean current movement under the coupling action of multiple power factors; in terms of visual presentation, it mostly relies on static pictures and texts or simple animations, and the means are relatively backward. There is a lack of immersive interactive experiences constructed by using cutting-edge technologies such as augmented reality and holographic projection, and it is impossible to let learners directly and comprehensively observe the dynamic changes of ocean currents. In addition, the existing simulation systems generally have a high energy consumption, using a large number of traditional electric drive devices, which does not conform to the current concept of green environmental protection, not only increasing the operation cost, but also difficult to meet the requirements of sustainable development.

[0003] Based on this, the present invention provides a popular science simulation system for ocean current movement to solve the above-mentioned technical problems. Summary of the Invention

[0004] The object of the present invention is to provide a popular science simulation system for ocean current movement. The present invention is provided with a wind force simulation module, a thermohaline driving module and a geostrophic force simulation module, which can comprehensively simulate the main driving forces affecting ocean currents in nature and their interactions. In particular, a dual geostrophic force simulation mechanism based on a rotating platform and algorithm correction is introduced, so that the abstract Coriolis force effect can be intuitively presented, significantly improving the teaching authenticity and scientific explanation strength of ocean phenomena. By integrating AR projection, particle tracking and data fusion algorithms, a dynamic three-dimensional visualization system integrating trajectory recognition, velocity field calculation and environmental parameter superposition is constructed, making the abstract dynamic process of ocean currents intuitive and visible, and greatly enhancing the learners' understanding ability of complex ocean phenomena.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] The present invention provides a popular science simulation system for ocean current movement, including a power simulation unit, a water flow control unit, a visualization unit, and an interaction control unit, wherein:

[0007] The power simulation unit: is used to comprehensively simulate various power sources of ocean current movement and their interactions through a multi-power coupling simulation system and a green energy-saving driving device;

[0008] The water flow control unit: is used to precisely control the flow velocity, flow direction and flow rate through a variable frequency water pump and an adjustable guide vane to simulate the ocean current characteristics of different sea areas and seasons;

[0009] The visualization unit: is used to realize multi-dimensional dynamic visualization of ocean current movement through augmented reality and holographic projection, and combine particle tracking with real-time data analysis to generate a comprehensive display screen including trajectory paths, velocity field distributions and environmental parameters;

[0010] The interaction control unit: is used to support multi-parameter combination editing and scene storage by integrating touch screen scene selection and physical knob parameter adjustment.

[0011] The power simulation unit includes a wind force simulation module, a thermohaline driving module, a geostrophic force simulation module, and an energy-saving driving module, wherein:

[0012] The wind force simulation module is used to simulate the sea surface wind field through a controllable fan array to drive the surface water flow;

[0013] The thermohaline driving module is used to simulate the thermohaline circulation by using a heating / cooling device and a salinity regulator;

[0014] The geostrophic force simulation module is used to simulate the effect of the Coriolis force on the deflection of ocean currents through a rotating platform or algorithm correction;

[0015] The energy-saving drive module is used to adopt a solar variable-frequency motor or a low-power pump to provide green energy support for the system.

[0016] In the geostrophic force simulation module, the effect of the Coriolis force current deflection is simulated through a rotating platform or algorithm correction. The specific operations are as follows:

[0017] A1: When using a rotating platform, first determine the rotational angular velocity of the platform according to the simulated geographical latitude, install the experimental device for simulating the ocean current on the rotating platform, so that the ocean current is deflected under the action of inertia force during the rotation of the platform;

[0018] A2: When using algorithm correction, first obtain the flow velocity and flow direction data of the ocean current in real time, then input the data into an algorithm model containing the Coriolis force calculation formula, calculate the ocean current deflection angle and offset under the action of the Coriolis force, and finally adjust the parameters of the water flow control unit according to the calculation results to achieve the simulation of the ocean current deflection.

[0019] In the energy-saving drive module, a solar variable-frequency motor or a low-power pump is adopted to provide green energy support for the system. The specific operations are as follows:

[0020] B1: Collect solar energy in real time through a solar photovoltaic panel, convert it into electric energy, and store it in a supporting energy storage battery. If a low-power pump is used, the pump is directly connected to the power grid or the energy storage battery and operates in a low-energy consumption mode;

[0021] B2: The built-in energy management chip in the system monitors the energy consumption requirements of the power simulation unit and the water flow control unit modules in real time, and dynamically adjusts the output power of the solar variable-frequency motor or the operating frequency of the low-power pump according to the operating status of each unit;

[0022] B3: Combine weather data and system operation time and adopt a time-sharing power supply strategy;

[0023] B4: During the operation of the solar variable-frequency motor or the low-power pump, use an energy recovery device to convert the kinetic energy generated when the device brakes or decelerates into electric energy and recharge it to the energy storage battery to further improve the energy utilization rate.

[0024] The water flow control unit includes a parameter monitoring module, a variable-frequency pump module, and an adjustable deflector module, where:

[0025] The parameter monitoring module is used to monitor the key parameters of the flow velocity, flow direction, and flow rate of the ocean current in real time;

[0026] The variable-frequency pump module is used to change the water flow rate by adjusting the frequency of the pump;

[0027] The adjustable deflector module is used to control the angle and position of the adjustable deflector.

[0028] The visualization unit includes an AR projection module, a particle tracking and real-time data processing module, and a comprehensive display interface module, where:

[0029] The AR projection module is used to present the three-dimensional ocean current structure from multiple angles using AR or holographic technology;

[0030] The particle tracking and real-time data processing module is used to combine intelligent particle tracking technology and an infrared camera to capture the water flow trajectory, and analyze the data in real time to generate a visualization result including the path, velocity field, and environmental parameters;

[0031] The comprehensive display interface module is used to superimpose the virtual chart on the actual experimental flow field to form a mixed display effect.

[0032] In the particle tracking and real-time data processing module, intelligent particle tracking technology and an infrared camera are combined to capture the water flow trajectory, and the data is analyzed in real time to generate a visualization result including the path, velocity field, and environmental parameters. The specific operations are as follows:

[0033] C1: The water flow area is photographed by the infrared camera at a frequency of 60 frames per second to capture the movement trajectory of the tracer particles in the water flow;

[0034] C2: The collected images are preprocessed. The contrast between the particles and the background is enhanced through an image enhancement algorithm. The tracer particles in the images are identified using an object detection algorithm based on deep learning, and the precise coordinates of the particles are determined through a sub-pixel localization algorithm;

[0035] C3: The Hungarian algorithm is used to associate the particles in consecutive frames, establish the movement trajectory of each particle, calculate the instantaneous velocity of the particles according to the displacement and time interval of the particles in adjacent frames, and generate the velocity field distribution of the entire water flow area through a spatial interpolation algorithm;

[0036] C4: The calculated particle path, velocity field distribution, and environmental parameter data are encoded and visually rendered in three-dimensional space in different colors, brightnesses, and arrow forms.

[0037] In C3, the instantaneous velocity of the particles is calculated, and the velocity field distribution of the entire water flow area is generated through a spatial interpolation algorithm. The specific expression is:

[0038] Calculation of particle velocity: The position coordinates of the particles at adjacent times t1 and t2 are obtained through the infrared camera, and the average velocity of the particles during this time period is calculated. The specific expression is:

[0039]

[0040] Velocity field interpolation algorithm: The inverse distance weighted interpolation method is used to generate the velocity field of the entire water flow area. For the point P to be interpolated, its velocity value v p The specific expression is:

[0041]

[0042] In the formula, v p represents the velocity value of the point p to be interpolated, v i is the velocity of the known particle point, d i is the distance from the point p to be interpolated to the known particle point, p is the weight coefficient, and n is the number of known particle points used for interpolation.

[0043] The interactive control unit includes a touch screen control module, a physical knob module, a parameter editing module, and a data storage module, where:

[0044] The touch screen control module is used to provide a graphical interface to select a preset scenario or call a historical storage scheme;

[0045] The physical knob module is used to adjust real-time parameters through the knob to enhance the tactile feedback of the operation;

[0046] The parameter editing module is used to allow users to customize the power combination and save it as a special configuration for teaching experiments;

[0047] The data storage module is used to record user operation data and system status, and support playback and teaching review.

[0048] In the parameter editing module, users are allowed to customize the power combination and save it as a special configuration for teaching experiments. The specific operations are as follows:

[0049] D1: The dynamic parameter configuration interface provides an associated slider. When the wind speed parameter is adjusted, the range of the flow velocity parameter is automatically adapted;

[0050] D2: The physical constraint database stores the legal association rules of various power parameters;

[0051] D3: The real-time verification engine verifies the feasibility of the parameter combination according to the principles of fluid mechanics;

[0052] D4: The experimental scheme memory packs the parameter combination that passes the verification into a reusable teaching template.

[0053] Compared with the prior art, the beneficial effects of the present invention are:

[0054] 1. By setting up a wind force simulation module, a thermohaline driving module, and a Coriolis force simulation module, the present invention can comprehensively simulate the main driving forces affecting ocean currents in nature and their interactions. In particular, by introducing a dual Coriolis force simulation mechanism based on a rotating platform and algorithm correction, the abstract Coriolis force effect can be intuitively presented, significantly enhancing the teaching authenticity and scientific explanatory power of ocean phenomena. By integrating AR projection, particle tracking, and data fusion algorithms, a dynamic three-dimensional visualization system that combines trajectory recognition, velocity field calculation, and environmental parameter superposition is constructed, making the abstract dynamic process of ocean currents intuitive and visible, and greatly enhancing the learning ability of learners to understand complex ocean phenomena.

[0055] 2. By equipping with a dual operation mode of a touch screen and physical knobs, the present invention supports users to customize experimental parameters, save teaching templates, and records the whole process of the experiment through a data storage module, facilitating teaching playback and experience summary, and enhancing the teaching practicability and operation convenience of the device. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a system diagram of a popular science simulation system for ocean current movement of the present invention.

[0057] Figure 2 It is an interactive control flow chart in a popular science simulation system for ocean current movement of the present invention.

[0058] Figure 3 It is a particle tracking system flow chart in a popular science simulation system for ocean current movement of the present invention.

[0059] Explanation of the reference numerals in the drawings:

[0060] 100, power simulation unit; 101, wind force simulation module; 102, thermohaline driving module; 103, Coriolis force simulation module; 104, energy-saving driving module; 200, water flow control unit; 201, parameter monitoring module; 202, variable frequency water pump module; 203, adjustable flow deflector module; 300, visualization unit; 301, AR projection module; 302, particle tracking and real-time data processing module; 303, comprehensive display interface module; 400, interactive control unit; 401, touch screen control module; 402, physical knob module; 403, parameter editing module; 404, data storage module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0061] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0062] Example:

[0063] As Figures 1-3 shown, this embodiment provides a popular science simulation system for ocean current movement, including a power simulation unit 100, a water flow control unit 200, a visualization unit 300, and an interaction control unit 400, where: The power simulation unit 100: is used to comprehensively simulate various power sources of ocean current movement and their interactions through a multi-power coupling simulation system and a green energy-saving drive device; The water flow control unit 200: is used to precisely control the flow velocity, flow direction, and flow rate through a variable-frequency water pump and an adjustable deflector, and simulate the ocean current characteristics of different sea areas and seasons; The visualization unit 300: is used to achieve multi-dimensional dynamic visualization of ocean current movement through augmented reality and holographic projection, and combine particle tracking with real-time data analysis to generate a comprehensive display screen including trajectory paths, velocity field distributions, and environmental parameters; The interaction control unit 400: is used to support multi-parameter combination editing and scene storage by integrating touch-screen scene selection and physical knob parameter adjustment.

[0064] In this embodiment, it should be noted that: The power simulation unit 100 generates a multi-power coupled ocean current driving force, precisely regulates the fluid parameters through the water flow control unit 200, uses the visualization unit 300 to present dynamic multi-dimensional data, and finally completes human-machine collaborative operation and scene management through the interaction control unit 400.

[0065] In the present invention, the power simulation unit 100 includes a wind force simulation module 101, a thermohaline driving module 102, a Coriolis force simulation module 103, and an energy-saving driving module 104, where: The wind force simulation module 101 is used to simulate the sea surface wind field through a controllable fan array to drive the surface water flow; the thermohaline driving module 102 is used to utilize a heating / cooling device and a salinity regulator to simulate the thermohaline circulation; the Coriolis force simulation module 103 is used to simulate the effect of the Coriolis force on the deflection of ocean currents through a rotating platform or algorithm correction; the specific operations are as follows: A1: When using a rotating platform, first determine the rotational angular velocity of the platform according to the simulated geographical latitude, install the experimental device for simulating ocean currents on the rotating platform, so that the ocean current is deflected under the action of inertial force during the rotation of the platform; A2: When using algorithm correction, first obtain the flow velocity and flow direction data of the ocean current in real time, then input the data into an algorithm model containing the Coriolis force calculation formula, calculate the deflection angle and offset of the ocean current under the action of the Coriolis force, and finally adjust the parameters of the water flow control unit 200 according to the calculation results to achieve the simulation of the ocean current deflection. The energy-saving driving module 104 is used to use a solar variable-frequency motor or a low-power water pump to provide green energy support for the system. The specific operations are as follows: B1: Collect solar energy in real time through a solar photovoltaic panel, convert it into electrical energy, and store it in a supporting energy storage battery. If a low-power water pump is used, the water pump is directly connected to the power grid or the energy storage battery and operates in a low-energy consumption mode; B2: The built-in energy management chip of the system monitors the energy consumption requirements of the modules of the power simulation unit 100 and the water flow control unit 200 in real time, and dynamically adjusts the output power of the solar variable-frequency motor or the working frequency of the low-power water pump according to the operating status of each unit; B3: Combine weather data and system operation time and adopt a time-sharing power supply strategy; B4: During the operation of the solar variable-frequency motor or the low-power water pump, use an energy recovery device to convert the kinetic energy generated when the device brakes or decelerates into electrical energy and recharge it to the energy storage battery to further improve the energy utilization rate.

[0066] In this embodiment, it should be noted that: the wind force simulation module 101 generates the surface driving force, the thermohaline driving module 102 establishes the density gradient circulation, the Coriolis force simulation module 103 provides Coriolis force correction, uses a rotating platform for physical simulation or algorithm for real-time regulation, and the energy-saving driving module 104 realizes optimized energy supply.

[0067] In addition, it should be noted that: the fan array in the wind simulation module 101 consists of multiple fans with independently adjustable rotation speeds and angles. Users can set the wind speed range from 0 to 30 m / s and the wind direction from 0 to 360° according to simulation requirements to simulate the driving effect of sea breezes with different intensities and directions on ocean currents; in the thermohaline driving module 102, the heating / cooling device can control the water temperature within the range of 0 to 50 °C, and the salinity regulator adjusts the water body salinity to 20‰ - 40‰ by adding or diluting brine. The weather data in B3, such as light intensity and temperature, adopts a time-sharing power supply strategy: preferentially use solar power during sufficient light periods, and optimize the power generation efficiency of photovoltaic panels through the maximum power point tracking algorithm. At night or when the light is insufficient, automatically switch to the energy storage battery for power supply, and adjust the device power according to the remaining battery power to ensure the continuous operation of the system. Calculate the rotational angular velocity of the platform according to the simulated geographical latitude, and the specific formula is: In the formula, ω is the rotational angular velocity, is the latitude, T is the Earth's rotation period, approximately 24 hours. The algorithm of the Coriolis force calculation formula, the specific formula is: F c =-2mΩ×v. In the formula, F c is the Coriolis force, m is the mass of the ocean current microelement, Ω is the Earth's angular velocity vector, and v is the velocity vector of the ocean current relative to the Earth.

[0068] In the present invention, the water flow control unit 200 includes a parameter monitoring module 201, a variable-frequency water pump module 202, and an adjustable guide vane module 203, where: the parameter monitoring module 201 is used to monitor the key parameters of the flow velocity, flow direction, and flow rate of the ocean current in real time; the variable-frequency water pump module 202 is used to change the water flow rate by adjusting the frequency of the pump; the adjustable guide vane module 203 is used to control the angle and position of the adjustable guide vane.

[0069] In this embodiment, it should be noted that: the parameter monitoring module 201 collects fluid dynamic data in real time, the variable-frequency water pump module 202 accurately regulates the flow parameters, and the adjustable guide vane module 203 realizes the flow direction control.

[0070] In addition, it should be noted that: an ultrasonic current meter with an accuracy of ±0.01 m / s, an electromagnetic flow direction sensor with an accuracy of ±1°, and a flow meter with an accuracy of ±0.5% are used to monitor the flow velocity, flow direction, and flow rate of the ocean current in real time. The data sampling frequency is 10 Hz to ensure real-time feedback of the ocean current state.

[0071] In the present invention, the visualization unit 300 includes an AR projection module 301, a particle tracking and real-time data processing module 302, and a comprehensive display interface module 303, where: The AR projection module 301 is used to present the three-dimensional ocean current structure from multiple angles by using AR or holographic technology; The particle tracking and real-time data processing module 302 is used to combine the intelligent particle tracking technology and an infrared camera to capture the water flow trajectory, and analyze the data in real time to generate a visualization result including the path, velocity field, and environmental parameters. The specific operations are as follows: C1: Shoot the water flow area at a frequency of 60 frames per second through the infrared camera to capture the movement trajectory of the tracer particles in the water flow; C2: Preprocess the collected images, enhance the contrast between the particles and the background through an image enhancement algorithm, identify the tracer particles in the images by using an object detection algorithm based on deep learning, and determine the precise coordinates of the particles through a sub-pixel localization algorithm; C3: Use the Hungarian algorithm to associate the particles in consecutive frames, establish the movement trajectory of each particle, calculate the instantaneous velocity of the particles according to the displacement and time interval of the particles in adjacent frames, and generate the velocity field distribution of the entire water flow area through a spatial interpolation algorithm; In C3, calculate the instantaneous velocity of the particles and generate the velocity field distribution of the entire water flow area through a spatial interpolation algorithm. The specific expression is:

[0072] Calculation of particle velocity: Obtain the particle position coordinates x1, y1 and x2, y2 at adjacent times t1 and t2 through the infrared camera, and calculate the average velocity of the particles during this time period. The specific expression is:

[0073]

[0074] Velocity field interpolation algorithm: Use the inverse distance weighted interpolation method to generate the velocity field of the entire water flow area. For the point P to be interpolated, its velocity value v p The specific expression is:

[0075]

[0076] In the formula, v p represents the velocity value of the point p to be interpolated, v i is the velocity of the known particle point, d i is the distance from the point p to be interpolated to the known particle point, p is the weight coefficient, and n is the number of known particle points used for interpolation. C4: Encode the calculated particle path, velocity field distribution, and environmental parameter data, and perform visual rendering in three-dimensional space in the form of different colors, brightness, and arrows. The comprehensive display interface module 303 is used to superimpose the virtual nautical chart and the actual experimental flow field to form a mixed display effect.

[0077] In this embodiment, it should be noted that: the AR projection module 301 constructs a three-dimensional dynamic scene, the particle tracking and real-time data processing module 302 realizes the acquisition and analysis of flow field data, including particle trajectory recognition, velocity field calculation, spatial interpolation processing, and the comprehensive display interface module 303 completes the virtual-real fusion display.

[0078] In addition, it should be noted that: the acquired images in C2 are preprocessed by grayscale conversion and filtering. The environmental parameters are temperature and salinity.

[0079] In the present invention, the interaction control unit 400 includes a touch screen control module 401, a physical knob module 402, a parameter editing module 403, and a data storage module 404, where: the touch screen control module 401 is used to provide a graphical interface to select a preset scenario or call a historical storage scheme; the physical knob module 402 is used to adjust real-time parameters through the knob to enhance the tactile feedback of the operation; the parameter editing module 403 is used to allow the user to customize the power combination and save it as a special configuration for teaching experiments; the specific operations are as follows: D1: The dynamic parameter configuration interface provides an associated slider, and when the wind speed parameter is adjusted, the range of the flow velocity parameter is automatically adapted; D2: The physical constraint database stores the legal association rules of various power parameters; D3: The real-time verification engine verifies the feasibility of the parameter combination according to the principles of fluid mechanics; D4: The experimental scheme memory packs the parameter combination passed by the verification into a reusable teaching template. The data storage module 404 is used to record the user operation data and the system state, and supports playback and teaching review.

[0080] In this embodiment, it should be noted that: the touch screen control module 401 realizes scenario selection, the physical knob module 402 provides precise parameter adjustment, the parameter editing module 403 completes the custom experimental configuration, including intelligent parameter association and physical verification, and the data storage module 404 realizes operation backtracking.

[0081] In addition, it should be noted that: the knobs include the flow velocity knob, the temperature knob, etc. The legal association rules of various power parameters, such as the corresponding relationship between temperature and salinity under temperature-salinity drive, the empirical formula of wind force and flow velocity, etc. The user operation data such as parameter settings, experimental duration and the system state such as energy consumption, equipment operation logs are recorded using a solid-state drive, supporting the playback of the experimental process and teaching review. The user can quickly locate the historical data through time axis sliding or keyword search.

[0082] In the description of this specification, the descriptions referring to the terms "one embodiment", "example", "specific example", etc. mean that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0083] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A popular science simulation system for ocean current movement, characterized in that, It includes a power simulation unit (100), a water flow control unit (200), a visualization unit (300), and an interaction control unit (400), where: The power simulation unit (100): is used to comprehensively simulate various power sources and their interactions of ocean current movement through a multi-power coupling simulation system and a green energy-saving drive device; The water flow control unit (200): is used to precisely control the flow velocity, flow direction, and flow rate through a variable-frequency water pump and an adjustable guide vane, and simulate the ocean current characteristics of different sea areas and seasons; The visualization unit (300): is used to achieve multi-dimensional dynamic visualization of ocean current movement through augmented reality and holographic projection, and combine particle tracking with real-time data analysis to generate a comprehensive display screen including trajectory paths, velocity field distributions, and environmental parameters; The interaction control unit (400): is used to support multi-parameter combination editing and scenario storage by integrating touch-screen scenario selection, physical knob parameter adjustment.

2. The popular science simulation system for ocean current movement according to claim 1, wherein The power simulation unit (100) includes a wind force simulation module (101), a thermohaline drive module (102), a Coriolis force simulation module (103), and an energy-saving drive module (104), where: The wind force simulation module (101) is used to simulate the sea surface wind field through a controllable fan array and drive the surface water flow; The thermohaline drive module (102) is used to simulate the thermohaline circulation by using a heating / cooling device and a salinity regulator; The Coriolis force simulation module (103) is used to simulate the effect of the Coriolis force on the deflection of ocean currents through a rotating platform or algorithm correction; The energy-saving drive module (104) is used to adopt a solar variable-frequency motor or a low-power water pump to provide green energy support for the system.

3. The current motion popular science simulation system according to claim 2, characterized in that, In the Coriolis force simulation module (103), the effect of the Coriolis force on the deflection of ocean currents is simulated through a rotating platform or algorithm correction. The specific operations are as follows: A1: When using a rotating platform, first determine the rotational angular velocity of the platform according to the simulated geographical latitude, install the experimental device for simulating ocean currents on the rotating platform, and make the ocean current generate deflection under the action of inertial force during the rotation of the platform; A2: When using algorithm correction, first obtain the flow velocity and flow direction data of the ocean current in real time, then input the data into an algorithm model containing the Coriolis force calculation formula, calculate the deflection angle and offset of the ocean current under the action of the Coriolis force, and finally adjust the parameters of the water flow control unit (200) according to the calculation results to achieve the simulation of the ocean current deflection.

4. The ocean current movement popular science simulation system according to claim 2, characterized in that, In the energy-saving drive module (104), a solar variable-frequency motor or a low-power water pump is adopted to provide green energy support for the system. The specific operations are as follows: B1: Collect solar energy in real time through a solar photovoltaic panel, convert it into electrical energy, and store it in a supporting energy storage battery. If a low-power water pump is used, the water pump is directly connected to the power grid or the energy storage battery and operates in a low-energy consumption mode; B2: The built-in energy management chip of the system monitors the energy consumption requirements of the power simulation unit (100) and the water flow control unit (200) in real time, and dynamically adjusts the output power of the solar variable-frequency motor or the working frequency of the low-power water pump according to the operating states of each unit; B3: Combine weather data and system operation time to adopt a time-sharing power supply strategy; B4: During the operation of a solar variable-frequency motor or a low-power pump, an energy recovery device is used to convert the kinetic energy generated when the device brakes or decelerates into electrical energy, which is then recharged into the energy storage battery to further improve the energy utilization rate.

5. A current movement popular science simulation system according to claim 1, characterized in that, The water flow control unit (200) includes a parameter monitoring module (201), a variable-frequency water pump module (202), and an adjustable guide vane module (203), where: The parameter monitoring module (201) is used to monitor the key parameters of the sea current velocity, direction, and flow rate in real time; The variable-frequency water pump module (202) is used to change the water flow rate by adjusting the frequency of the pump; The adjustable guide vane module (203) is used to control the angle and position of the adjustable guide vane.

6. The current motion popular science simulation system according to claim 1, wherein, The visualization unit (300) includes an AR projection module (301), a particle tracking and real-time data processing module (302), and a comprehensive display interface module (303), where: The AR projection module (301) is used to present the three-dimensional sea current structure from multiple angles using AR or holographic technology; The particle tracking and real-time data processing module (302) is used to combine intelligent particle tracking technology and an infrared camera to capture the water flow trajectory, and analyze the data in real time to generate a visualization result including the path, velocity field, and environmental parameters; The comprehensive display interface module (303) is used to superimpose the virtual chart on the actual experimental flow field to form a mixed display effect.

7. The current movement popular science simulation system according to claim 6, characterized in that, In the particle tracking and real-time data processing module (302), intelligent particle tracking technology and an infrared camera are combined to capture the water flow trajectory, and the data is analyzed in real time to generate a visualization result including the path, velocity field, and environmental parameters. The specific operations are as follows: C1: The water flow area is photographed by an infrared camera at a frequency of 60 frames per second to capture the movement trajectory of the tracer particles in the water flow; C2: The collected images are preprocessed. The contrast between the particles and the background is enhanced through an image enhancement algorithm. The tracer particles in the images are identified using an object detection algorithm based on deep learning, and the precise coordinates of the particles are determined through a sub-pixel localization algorithm; C3: The Hungarian algorithm is used to correlate the particles in consecutive frames to establish the movement trajectory of each particle. According to the displacement and time interval of the particles in adjacent frames, the instantaneous velocity of the particles is calculated, and the velocity field distribution of the entire water flow area is generated through a spatial interpolation algorithm; C4: The calculated particle path, velocity field distribution, and environmental parameter data are encoded and visually rendered in three-dimensional space in different colors, brightnesses, and arrow forms.

8. A current movement popular science simulation system according to claim 7, characterized in that In C3, the instantaneous velocity of the particles is calculated, and the velocity field distribution of the entire water flow area is generated through a spatial interpolation algorithm. The specific expression is: Particle velocity calculation: The particle position coordinates (x1, y1) and (x2, y2) at adjacent times t1 and t2 are obtained through an infrared camera, and the average velocity of the particles during this time period is calculated. The specific expression is: Velocity field interpolation algorithm: The inverse distance weighted interpolation method is used to generate the velocity field of the entire water flow area. For the point P to be interpolated, its velocity value v p has the following specific expression: where v p represents the velocity value of the point p to be interpolated, v i is the velocity of the known particle point, d i is the distance from the point p to be interpolated to the known particle point, p is the weight coefficient, and n is the number of known particle points used for interpolation.

9. A popular science simulation system for ocean current movement as claimed in claim 1, characterized in that, The interaction control unit (400) includes a touch screen control module (401), a physical knob module (402), a parameter editing module (403), and a data storage module (404), where: The touch screen control module (401) is used to provide a graphical interface to select a preset scenario or call a historical storage scheme; The physical knob module (402) is used to adjust real-time parameters through the knob to enhance the tactile feedback of the operation; The parameter editing module (403) is used to allow users to customize the power combination and save it as a special configuration for teaching experiments; The data storage module (404) is used to record user operation data and system status, and support playback and teaching review.

10. A current movement popular science simulation system according to claim 9, characterized in that, In the parameter editing module (403), users are allowed to customize the power combination and save it as a special configuration for teaching experiments. The specific operations are as follows: D1: The dynamic parameter configuration interface provides an associated slider. When the wind speed parameter is adjusted, the flow rate parameter range is automatically adapted; D2: The physical constraint database stores the legal association rules of various power parameters; D3: The real-time verification engine verifies the feasibility of the parameter combination according to the principles of fluid mechanics; D4: The experimental scheme memory packs the parameter combinations that pass the verification into reusable teaching templates.

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