Physical ocean virtual simulation experiment teaching device and system

Abstract

The invention discloses a physical ocean virtual simulation experiment teaching device and system in the technical field of virtual reality, and the system comprises a virtual module which is used for constructing a three-dimensional dynamic virtual ocean scene; the tactile feedback module is used for simulating tactile feedback intensity of wave impact, water pressure resistance and ocean current drag force in an ocean environment; the environment simulation module is used for generating temperature, salinity change and wind field disturbance matched with the virtual ocean scene; and the edge calculation module is used for analyzing user operation behaviors and physical parameters of a virtual scene in real time through a machine learning algorithm, and dynamically optimizing tactile feedback intensity and environment simulation parameters. According to the scheme, the authenticity of environment perception can be improved, so that a more real and effective virtual simulation experiment teaching effect is realized.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of virtual reality, and particularly relates to a physical ocean virtual simulation experiment teaching device and system. BACKGROUND

[0002] As a discipline studying physical phenomena and laws in the ocean, physical oceanography plays a crucial role in the field of earth science today. The ocean covers about 71% of the Earth's surface, and it is not only the largest body of water on Earth, but also the core regulator of the global climate system. Physical processes such as ocean currents, temperature distribution, and salinity changes in the ocean have a profound impact on global climate patterns, weather changes, and the balance of the ecological system. For example, the El Niño-Southern Oscillation (ENSO) phenomenon, a classic topic in physical oceanography research, produces abnormal changes in ocean temperature that can trigger global climate anomalies, such as the frequency and intensity of extreme weather events like heavy rain, drought, and hurricanes, which have a huge impact on industries such as agriculture, fisheries, and water resource management, and further affect the stable development of the global economy and society.

[0003] With the increasing demand for the development of marine resources, such as offshore wind power, deep-sea mineral exploration, and marine aquaculture, a deep understanding of the physical ocean environment is crucial to ensure the safe and efficient operation of these industries. Accurate prediction of marine physical parameters can optimize the design and layout of offshore engineering facilities, reduce engineering construction risks, and improve production efficiency.

[0004] In traditional physical ocean experiment teaching, it mainly relies on field observation and laboratory small-scale simulation experiments. Although field observation can obtain real ocean environment data, it faces many challenges. On the one hand, the ocean environment is complex and variable, and many important physical processes such as large-scale ocean current movement and deep-sea internal vortex evolution occur widely and last for a long time, making it difficult to conduct comprehensive and systematic observation within a limited time and space. Moreover, field observation usually requires expensive research vessels, large observation equipment, and a large amount of manpower, which is too costly for ordinary teaching institutions to carry out on a large scale, limiting students' opportunities to participate in practice.

[0005] On the other hand, although laboratory small-scale simulation experiments can simplify ocean phenomena to some extent for research, due to the size limitation of experimental devices, they cannot truly reproduce the grand physical processes and complex boundary conditions in the ocean. For example, in simulating ocean circulation, small-scale experiments are difficult to accurately reflect the influence of factors such as the Earth's rotation and the shape of ocean basins on the circulation, resulting in some deviation between the experimental results and the actual ocean environment. Students have difficulty in intuitively and comprehensively understanding the real physical ocean processes, which affects the teaching quality and effectiveness.

[0006] With the rapid development of computer technology, information technology and numerical simulation technology, virtual simulation experiment technology gradually emerges and is widely applied in various disciplines. In the teaching of physical oceanography, virtual simulation experiment technology provides the possibility to break through the bottleneck of traditional experimental teaching.

[0007] By using the powerful computing power and graphics rendering capability of computers, combined with advanced numerical models and physical oceanography theory, a highly realistic virtual ocean environment is created. In this virtual environment, various complex ocean physical processes can be simulated, from global-scale ocean circulation, climate-scale ocean-atmosphere interaction, to local sea area tidal dynamic process, wave propagation and deformation, etc. Students can freely adjust experimental parameters such as initial ocean temperature, salinity distribution, wind stress size, etc. on the virtual experiment platform, without being limited by time, space and actual observation conditions, observe the evolution process of ocean physical phenomena under different conditions, and gain a deep understanding of the underlying physical mechanisms.

[0008] However, the existing physical ocean virtual simulation experiment teaching devices and systems have significant limitations in environmental perception reality and multi-sensory feedback, making it difficult to meet the needs of high-quality teaching. The general virtual reality (VR) equipment usually only provides visual and basic audio feedback, lacks fine tactile and force feedback devices, and cannot simulate the physical forces in the ocean environment. For example, it cannot simulate the impact force on the experimental equipment when waves hit, the resistance generated by the change of water pressure when the instrument is lowered, and the drag effect of ocean currents on the equipment. This makes it difficult for students to intuitively feel the impact of ocean dynamic forces on the equipment, weakening the understanding of momentum transfer mechanisms. In addition, environmental perception relies only on vision and basic audio, with a serious lack of multi-sensory signals such as temperature and humidity changes, wind noise, and seawater salinity, greatly limiting the construction of immersive experiences, making it difficult for students to fully and realistically perceive the ocean environment. These problems collectively lead to the disconnection between existing physical ocean virtual simulation experiment teaching and real ocean scenarios, making it difficult to meet the needs of high-quality physical oceanography teaching.

[0009] In view of the defects of the existing technology, there is an urgent need for a new physical ocean virtual simulation experiment teaching device and system that can provide a more realistic, comprehensive and immersive virtual simulation experiment experience, and improve teaching effectiveness and quality. SUMMARY

[0010] To solve the above problems, the purpose of the present application is to provide a physical ocean virtual simulation experiment teaching device and system that can improve environmental perception reality to achieve more realistic and effective virtual simulation experiment teaching effectiveness.

[0011] To achieve the above purpose, the technical solution of the present application is as follows: A physical ocean virtual simulation experiment teaching system, comprising: A virtual module for constructing a three-dimensional dynamic virtual marine scene; A haptic feedback module for simulating the intensity of haptic feedback of wave impact, water pressure resistance and ocean current drag force in the marine environment; An environment simulation module for generating salinity variation and wind field disturbance matching the virtual marine scene; An edge computing module for real-time analysis of user operation behavior and physical parameters of the virtual scene through machine learning algorithms, dynamic optimization of haptic feedback intensity and environment simulation parameters.

[0012] Further, the environment simulation module includes a temperature control unit, a wind field simulation unit, a humidity adjustment unit and a cooperative control unit; the temperature control unit is used to calculate the corresponding temperature variation curve according to the marine dynamics model according to the geographical position, depth, seasonal factors in the virtual marine scene, and adjust the temperature of the experimental teaching area in real time to the temperature range matching the virtual scene, so that the user can feel the temperature change in the marine environment; The wind field simulation unit is used to simulate the wind field disturbance on the sea surface and generate wind force effect consistent with the wind field in the virtual scene; The salinity adjustment unit is used to adjust the humidity of the experimental teaching area according to the evaporation of seawater, precipitation process and surrounding environmental humidity conditions in the virtual scene, to simulate the humidity change in the marine environment and enhance the authenticity of environmental perception; The cooperative control sub-module is used to coordinate the work of the temperature control unit, the wind field simulation unit and the salinity adjustment unit, so as to adjust the parameters synchronously according to the dynamic changes of the virtual scene, ensure the coherence and consistency of the environment simulation, and create a realistic marine environment atmosphere.

[0013] Further, the haptic feedback module includes a wearable part; a piezoelectric deformation layer is arranged on the wearable part, which directly contacts the user's skin, and a micro-current array is arranged on the side of the piezoelectric deformation layer away from the user's skin; the control module is used to control the micro-current array to operate based on the control instruction, so that the piezoelectric deformation layer generates haptic feedback of different intensities.

[0014] Further, the temperature control unit includes a panel; an air supply channel is formed in the panel, and a power piece for generating wind force and a heating piece for generating heat are arranged in the air supply channel; the air supply channel is communicated with a plurality of air jet channels for blowing air towards the user's face.

[0015] Further, the salinity adjustment unit includes a plurality of liquid storage cavities for storing water, which are respectively communicated with the air jet channels, and a throat is arranged at the communication part of the liquid storage cavity and the air jet channel; an atomizing mechanism is arranged in the liquid storage cavity; a saltwater cavity is further communicated between the liquid storage cavity and the throat, and a one-way valve is arranged between the saltwater cavity and the liquid storage cavity.

[0016] Further, the atomization mechanism comprises a sponge column; the sponge column is provided with an atomization sheet at one end, and the sponge column is used to introduce water in the liquid storage cavity into the atomization sheet.

[0017] Further, the system further comprises a biological acquisition module configured to acquire, in real time, an electromyographic signal and a skin conductivity of the user; the edge computing module is further configured to analyze, in real time, the electromyographic signal and the skin conductivity by using a machine learning algorithm, and extract biological characteristic parameters of an operation strength, a muscle tension, and a stress level of the user; and the haptic feedback module and the environment simulation module are configured to dynamically adjust feedback strength and simulation parameters based on the biological characteristic parameters, so as to form a human state-environment response adaptive closed loop.

[0018] Further, an embodiment of the adaptive closed loop comprises: When it is detected that the operation strength of the user exceeds a preset threshold, the micro-current array of the haptic feedback module increases a resistance gradient of the piezoelectric deformation layer, so as to simulate a drag resistance of a sudden ocean current in a marine environment; When the skin conductivity reflects that the user is in a high tension state, the environment simulation module reduces an air outlet strength of the wind field simulation unit, and automatically switches a virtual scene complexity, so as to relieve cognitive load (i.e., reduce attention dispersion of the user caused by information overload); By real-time mapping of the electromyographic signal and the haptic feedback strength, an operation behavior-environment resistance coupling model is constructed, and perceptual reality of a momentum transmission mechanism is optimized.

[0019] Further, the operation behavior-environment resistance coupling model is:

[0020] In the formula, is the haptic feedback strength; is an electromyographic weight coefficient; is a function of the electromyographic signal changing with time; is a current time, is an initial time; is an acceleration compensation coefficient; is a virtual device movement speed.

[0021] Further, a physical marine virtual simulation experiment teaching device is integrated with any one of the above systems.

[0022] The above scheme has the following beneficial effects: 1. In this scheme, a three-dimensional dynamic virtual marine scene is constructed through a virtual module, the intensity of haptic feedback such as wave impact, water pressure resistance and ocean current drag force is simulated in combination with a haptic feedback module, and the temperature and humidity changes and wind field disturbances matching the virtual scene are generated by an environment simulation module. Compared with traditional virtual reality devices that only provide visual and basic audio feedback, this system can simulate the real marine environment from multiple aspects such as vision, touch, temperature, humidity and wind field, providing a more comprehensive and immersive virtual simulation experiment experience for users, and helping users to intuitively feel and understand complex physical ocean processes.

[0023] 2. In this scheme, the electromyographic signals and skin conductance of the user are monitored in real time by introducing a biological collection module, and the edge computing module analyzes these biological characteristic parameters based on a machine learning algorithm, and dynamically adjusts the haptic feedback and environmental simulation parameters accordingly to form a human state - environment response adaptive closed loop. This design enables the virtual experiment environment to respond in real time according to the user's physiological and psychological state, ensuring that the user is always in a suitable learning environment. For example, when it is detected that the user's operating force is too large or is in a highly tense state, the system can automatically adjust the feedback intensity and scene complexity to avoid affecting the learning effect due to excessive tension or high cognitive load, thereby further enhancing the immersion and experience of teaching.

[0024] 3. In this scheme, the moisture in the liquid storage cavity is atomized by a humidity adjusting unit, the mist enters the saltwater cavity through a one-way valve and mixes with the saltwater, producing mist with a salty taste, and then the mist is brought into the airflow injection channel by Venturi effect to blow towards the user's face, simulating the effect of sea water mist. This design avoids the problem of clogging and corrosion of the atomizing piece caused by direct atomization of saltwater, prolonging the service life of the device. BRIEF DESCRIPTION OF DRAWINGS

[0025] Figure 1 The system block diagram of the physical ocean virtual simulation experiment teaching system of the present application.

[0026] Figure 2 The three-dimensional structure schematic diagram of the panel in the physical ocean virtual simulation experiment teaching system of the present application.

[0027] Figure 3 The three-dimensional structure schematic diagram of the panel in the physical ocean virtual simulation experiment teaching system of the present application. Figure 2

[0028] Figure 4 The structure schematic diagram of the wearable in the physical ocean virtual simulation experiment teaching system of the present application.

[0029] Figure 5 The structure schematic diagram of the wearable in the physical ocean virtual simulation experiment teaching system of the present application. Figure 3

[0030] Figure 6 ​​This is a schematic diagram of the wave simulation mechanism in the physical ocean virtual simulation experimental teaching system of the present invention.

[0031] The reference numerals in the accompanying drawings include: 1. VR head-mounted display; 2. Panel; 3. Wearable component; 4. First pedal; 5. Second pedal; 6. Protective enclosure; 7. Support rod; 8. Electric actuator; 201. Air supply channel; 202. Airflow jet channel; 203. Throat; 204. Heating wire; 205. Power component; 206. Liquid storage chamber; 207. Sponge column; 208. Atomizing plate; 209. Semiconductor cooling chip; 210. Saltwater chamber; 211. One-way valve; 301. Piezoelectric deformation layer. Detailed Implementation

[0032] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0033] In the description of this invention, it should be understood that the terms "longitudinal", "lateral", "vertical", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", and "outer" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0034] In the description of this invention, unless otherwise specified and limited, it should be noted that the terms "installation", "connection" and "linking" should be interpreted broadly. For example, they can refer to mechanical or electrical connections, or internal connections between two components. They can be direct connections or indirect connections through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms according to the specific circumstances.

[0035] The following detailed description illustrates the specific implementation methods: The basic implementation examples are as follows: Figures 1-6 As shown: A physical ocean virtual simulation experimental teaching system, mainly comprising: The virtual module is used for constructing a three-dimensional dynamic virtual marine scene. The virtual module is the basis of the whole system, and the object of the virtual module in the embodiment is a VR head-mounted display 1. An advanced three-dimensional modeling technology and a graphic rendering engine are used to construct a realistic three-dimensional dynamic virtual marine scene. The virtual module can simulate global-scale ocean circulation, climate-scale ocean-atmosphere interaction, and various complex marine physical processes such as local sea area tidal dynamic process, wave propagation and deformation, etc. Teachers and users can freely adjust experimental parameters such as initial temperature, salinity distribution and wind stress size in the virtual scene through an operation interface, and the system calculates and presents the corresponding marine physical phenomenon evolution process in real time according to the set parameters, thereby providing an accurate virtual scene basis for subsequent tactile and environmental simulation.

[0036] The tactile feedback module is used for simulating the intensity of wave impact, water pressure resistance and ocean current drag force in the marine environment. Specifically, the tactile feedback module is mainly composed of a wearing part 3 and a control module. Figure 4 The wearing part 3 is attached to the human body structure, and is convenient for users to wear during the virtual experiment process. As shown in FIG. 2, the wearing part 3 in the embodiment is a sleeve structure worn on the arm of the user. A piezoelectric deformation layer 301 is arranged on the sleeve structure. The piezoelectric deformation layer 301 is a flexible electronic skin, which is in direct contact with the user's skin and can convert electrical signals into mechanical deformation to generate tactile feedback. The deformation of the piezoelectric deformation layer 301 can be realized in multiple ways. For example, after a voltage is applied, one side of the piezoelectric deformation layer 301 is shortened and the other side is lengthened, resulting in overall shortening; while on the other side, one side of the piezoelectric layer is bent into a concave surface, and the other side is bent into a convex surface, resulting in overall bending deformation.

[0037] A micro-current array is arranged on the side (i.e. the back) of the piezoelectric deformation layer 301 away from the user's skin. The operation of the micro-current array is precisely controlled by the control module. According to the instructions issued by the edge computing module, the control module drives the micro-current array to work, thereby prompting the piezoelectric deformation layer 301 to generate tactile feedback of different intensities.

[0038] For example, when simulating wave impact on the experimental equipment in the virtual scene, the control module instantaneously activates the micro-current array in the corresponding region, and the piezoelectric deformation layer 301 rapidly deforms to give the user's arm a strong impact feeling; while simulating the resistance generated by water pressure change during the instrument lowering process, the micro-current array controls the piezoelectric deformation layer 301 to generate a gradual resistance feedback, so that the user can truly perceive the influence of the water pressure difference at different depths on the operation.

[0039] The environmental simulation module is used for generating salinity variation and wind field disturbance matched with the virtual marine scene. Specifically, the environmental simulation module is composed of a temperature control unit, a wind field simulation unit, a salinity adjustment unit and a cooperative control unit.

[0040] The object of the temperature control unit is the faceplate 2, which is mounted at the bottom of the VR headset 1, as shown in the accompanying drawings Figure 3 As shown in the accompanying drawings, the faceplate 2 is provided with an air supply channel 201, in which a power component 205 and a heating component are mounted. In this embodiment, the power component 205 is a fan, and the heating component is an electric heating wire 204. Preferably, a semiconductor refrigeration sheet 209 is also mounted in the air supply channel 201, which is used to cool the air. The power component 205 drives the air flow, and the heating component heats the air according to the temperature requirement of the marine environment in the virtual scene. The heated or cooled air is delivered to each air flow injection channel 202 through the air supply channel 201, and finally blown to the user's face, simulating the temperature change in different regions, depths and seasons of the marine environment, such as the temperature change from the warm sea surface to the cold deep sea environment.

[0041] The wind field simulation unit works with the temperature control unit, and the wind force effect generated thereby matches the wind field data in the virtual scene. By adjusting the rotating speed of the power component 205, different intensity of wind field disturbance on the sea surface is simulated, so that the user can feel the natural wind force on the sea surface and enhance the sense of being on the spot.

[0042] The salinity adjustment unit includes a plurality of liquid storage cavities 206, each of which stores fresh water. The communication part between the liquid storage cavity 206 and the air flow injection channel 202 is provided with a throat 203, which is a narrow area of the air flow injection channel 202. Based on the Venturi effect, the flow rate increases when the fluid passes through the narrow part of the pipeline, and the pressure decreases accordingly. The liquid storage cavity 206 and the throat 203 are also connected to a salt water cavity 210, and a one-way valve 211 is installed between the salt water cavity 210 and the liquid storage cavity 206. The one-way valve 211 allows the mist to enter the salt water cavity 210 and prevents the salt water in the salt water cavity 210 from flowing back to the liquid storage cavity 206. The liquid storage cavity 206 is equipped with a misting mechanism, as shown in the accompanying drawings Figure 3 and the accompanying drawings Figure 5 As shown in the accompanying drawings, the misting mechanism includes a sponge column 207, which is inserted into the communication path between the liquid storage cavity 206 and the salt water cavity 210. The top of the sponge column 207 is bonded and fixed with a misting sheet 208, and the sponge column 207 is used to guide the moisture in the liquid storage cavity 206 to the misting sheet 208. When the misting mechanism works, the fresh water in the liquid storage cavity 206 is atomized, and the misting sheet 208 continuously inputs the mist to the salt water cavity 210. With the increase of the amount of mist, the pressure increases. The mist passes through the bottom of the salt water cavity 210 and mixes with the salt water in the salt water cavity 210, forming mist with saltiness. Under the action of the Venturi effect, the mist is sucked into the air flow injection channel 202, and then blown to the user's face through the air flow injection channel 202, simulating the salinity change caused by the evaporation of seawater, precipitation and sea fog, and greatly improving the authenticity of the marine environment perception.

[0043] For example, when simulating low-temperature sea breeze, the external air is sucked into the air supply channel 201 by the power component 205, and the air is cooled by the semiconductor refrigeration sheet 209. When the cooled air passes through the throat 203, salty mist is blown towards the user's face. When simulating high-temperature sea breeze, the air is heated by the electric heating wire 204, thereby increasing the temperature of the air, and then the above process is repeated.

[0044] The wave simulation mechanism is used to simulate different types of waves (such as wind waves, swell waves, tidal waves, etc.) based on linear wave theory and nonlinear wave models. Specifically, the wave simulation mechanism includes a first pedal 4 and a second pedal 5, and a plurality of electric push rods 8 are arranged between the first pedal 4 and the second pedal 5. The bottom of the electric push rod 8 is bolted to the second pedal 5, and the output end of the electric push rod 8 is ball-hinged to the bottom of the first pedal 4. A support rod 7 is welded and fixed to the top of the first pedal 4, and a protective fence 6 is welded and fixed to the support rod 7. When wave simulation is needed, the user stands on the first pedal 4 and wears the protective fence 6 around the waist. By driving different electric push rods 7 to operate, the first pedal 4 is tilted to different degrees, thereby simulating the shaking or displacement of the device when it is impacted by waves.

[0045] The cooperative control unit undertakes the coordination work of the temperature control unit, the wind field simulation unit, the salinity adjustment unit, and the wave simulation mechanism. It receives real-time virtual scene dynamic change data and synchronously adjusts the parameter settings of each unit according to the preset cooperative control strategy, ensuring the simulation of temperature, wind, salinity, and other environmental factors to be coherent and consistent, creating a realistic marine environment atmosphere and avoiding disconnection or contradiction in the simulation of each environmental factor.

[0046] Specifically, the cooperative control unit is built-in with multiple preset typical marine scene modes, such as "tropical sea surface", "temperate ocean current area", "polar sea area", etc. Each scene mode is associated with specific temperature range, wind speed, salinity change, and other basic environmental parameters. When the virtual module switches or generates a new virtual marine scene, the cooperative control unit quickly identifies the current scene type and retrieves the corresponding parameter set from the database.

[0047] The core of the cooperative control strategy is to build a dynamic and interrelated parameter adjustment model. In this model, temperature, wind field, and salinity are no longer independent adjustment parameters, but are comprehensively optimized according to the overall characteristics of the marine environment and the user's experimental requirements. For example, when the virtual scene simulates a tropical sea area in the afternoon, the sunlight is strong, the sea surface temperature is high, and there may be sea breeze and high air humidity. The cooperative control strategy will simultaneously adjust the temperature control unit to increase the temperature, the wind field simulation unit to generate moderate wind, the salinity adjustment unit to increase the salinity and air humidity, and collectively create a realistic tropical marine environment.

[0048] When waves appear in the virtual scene, the collaborative control unit performs slight swaying according to the wave parameters, simulating the rocking of the ship on the waves. At the same time, the intensity of the air flow injection is adjusted to simulate the wind changes of the waves. The driving mode of the micro-current array is switched to simulate the periodic impact of the waves and the blowing feeling of the wind. For example, when the waves impact, the corresponding area of the wearable device 3 produces a short and intense vibration, and when the wind blows, it produces a continuous and slight tremor.

[0049] According to the speed and direction of the ocean current, the resistance and friction of the piezoelectric deformation layer 301 are adjusted. When the device moves against the ocean current, the resistance feedback is increased; when it moves with the ocean current, the resistance is reduced, allowing the user to feel the drag or assistance effect of the ocean current.

[0050] Through the above specific embodiments, the physical ocean virtual simulation experiment teaching system can simultaneously simulate the physical parameters of marine water bodies (temperature, salinity, pressure) and dynamic environmental parameters (wind, waves, currents), providing a highly immersive and realistic virtual experiment environment for users.

[0051] The collaborative control strategy also dynamically adjusts according to the user's operation behavior and experiment progress. For example, if the user simulates diving into deep sea in the experiment, the collaborative control unit will gradually lower the temperature according to the depth information, adjust the wind field simulation to weak water flow in deep sea environment, and the humidity and salinity adjustment will also change accordingly to simulate the high salinity environment of deep sea. This dynamic adjustment ensures that the user can feel the coherent changes of the environment during the experiment, thereby enhancing the authenticity and immersion of the experiment.

[0052] The construction steps of the above parameter adjustment model are as follows: Data collection and arrangement Marine environment data collection: Collect massive marine environment data from multiple channels such as marine observation stations, satellite remote sensing data, and historical marine experiment records, covering temperature variation curves, wind field intensity and direction, salinity fluctuation range, and other information under different sea areas, depths, seasons, and weather conditions, providing rich and comprehensive environmental parameter samples for model construction.

[0053] User experiment feedback data collection: In the early experiment, invite numerous users to participate in the physical ocean virtual simulation experiment, record their operation behavior, subjective feelings and opinions on the environment simulation, and the appropriateness of the tactile feedback intensity in different virtual marine environments, and other feedback data, in order to understand the actual experience needs of users in different scenarios.

[0054] Data preprocessing: Clean, normalize, and handle missing values of the collected marine environment data and user feedback data, remove noise and abnormal data, make the data format uniform and complete, and meet the requirements of model training.

[0055] Model architecture design Input layer design: According to the goals and requirements of collaborative control, determine the input parameters of the model, including the geographical location, depth, season, time, and other scene information of the virtual marine environment, as well as the user's current operation state (such as operation force, device movement speed, interaction mode, etc.) and physiological state (such as electromyographic signal, skin conductivity, etc. biological characteristic parameters). These input parameters can fully reflect the characteristics of the virtual scene and the real-time needs of the user.

[0056] Hidden layer design: Use a multi-layer neural network structure, and the design of the number of neurons and connection mode in the hidden layer aims to fully explore the complex relationships and potential patterns in the input data. Through the activation function of neurons (such as ReLU, sigmoid, etc.), the input information is nonlinearly transformed and feature extracted, gradually building up the mapping relationship from input parameters to output control signals, realizing the collaborative control logic of temperature control unit, wind field simulation unit and salinity regulation unit.

[0057] Output layer design: The output layer of the model corresponds to the control signals of the temperature control unit, wind field simulation unit and salinity regulation unit, including temperature adjustment amplitude, wind field intensity and direction adjustment amount, salinity change rate, etc. Specific parameters. These output signals will directly act on each unit of the environmental simulation module, driving them to work according to the collaborative control strategy.

[0058] Model training and optimization Training data set construction: The preprocessed marine environment data and user feedback data are divided into training set and test set according to a certain proportion. The training set is used for the training process of the model, and the model parameters are adjusted to make the model output as close as possible to the actual environmental simulation requirements; the test set is used to verify the generalization ability and performance of the model, to ensure that the model can stably output accurate control signals on unseen data.

[0059] Loss function definition: Define a suitable loss function to measure the difference between the model output and the actual target. For example, the mean square error (MSE) loss function can be used to calculate the error between the model output control signal and the ideal control signal obtained according to expert experience and actual test, and the user's feedback data on environmental simulation satisfaction, quantifying the user's subjective experience as part of the loss function, so that the model can consider both the objective accuracy of environmental simulation and the subjective experience of the user.

[0060] Optimization algorithm selection: Select an effective optimization algorithm (such as stochastic gradient descent, Adam optimization algorithm, etc.) to minimize the loss function. In the model training process, the optimization algorithm automatically adjusts the model's weight and bias parameters, iterates continuously, gradually reduces the value of the loss function, and makes the model's output results closer and closer to the actual target, so as to realize the automatic learning and optimization of the model.

[0061] Model verification and adjustment: The trained model is verified using the test set to evaluate its performance in different scenarios, such as the accuracy of temperature, wind field, and salinity simulation, the synergy, and the user's satisfaction with the environmental simulation. Based on the verification results, the architecture and parameters of the model are adjusted and optimized, such as increasing or decreasing the number of hidden layer neurons, adjusting the activation function, modifying the loss function weight, etc., to further improve the performance and stability of the model, so that it can better meet the requirements of the physical ocean virtual simulation experiment teaching system for environmental simulation and collaborative control.

[0062] Edge computing module, for real-time analysis of user operation behavior and virtual scene physical parameters through machine learning algorithm, dynamic optimization of haptic feedback intensity and environmental simulation parameters.

[0063] It has built-in high-performance processors and storage units, and the storage units pre-store a large number of machine learning algorithm models and basic data related to physical oceanography.

[0064] When the system is running, the edge computing module collects user operation behavior data in the virtual simulation experiment in real time, such as device operation actions, interaction methods, and movement trajectories; on the other hand, it obtains the physical parameters in the virtual ocean scene, including the changes of ocean dynamic elements (waves, ocean currents, tides, etc.), environmental parameters (temperature, wind speed, etc.).

[0065] Then, the collected multi-source data is quickly analyzed and processed using machine learning algorithms deployed on edge computing devices to establish a mapping relationship model between user operation behavior and virtual scene physical parameters. Through this model, the edge computing module can accurately predict the user's perception needs for haptic feedback and environmental simulation in different scenarios, and then adjust the parameter settings of the haptic feedback module and the environmental simulation module in real time to achieve dynamic optimization.

[0066] For example, when the user operates the virtual experimental equipment and interacts with strong ocean currents, the edge computing module predicts that the user needs stronger haptic feedback to perceive the drag force of the ocean currents, and accordingly increases the feedback intensity of the haptic feedback module; at the same time, considering the complexity of the ocean environment in the strong ocean current scenario, the temperature, salinity, and wind field parameters of the environmental simulation module are adjusted in coordination, making the entire virtual experimental environment more realistic and consistent with the user's current operation scenario.

[0067] The biological acquisition module is further configured to acquire, in real time, the electromyogram and the skin conductivity of the user; the edge computing module is further configured to analyze, in real time, the electromyogram and the skin conductivity by using a machine learning algorithm, and extract biological characteristic parameters of the user, such as the operation strength, the muscle tension and the stress level; and the haptic feedback module and the environment simulation module dynamically adjust the feedback strength and the simulation parameters based on the biological characteristic parameters, so as to form a human state-environment response adaptive closed loop.

[0068] The module includes a plurality of high-precision bioelectricity electrodes and a signal processing unit. The electrodes are attached to key parts of the user's limbs to acquire, in real time, the electromyogram and the skin conductivity of the user. The electromyogram can reflect the muscle contraction degree and trend of the user, and the skin conductivity reflects the emotional fluctuation and tension change of the user.

[0069] The acquired weak bioelectricity signals (electromyogram and skin conductivity) are amplified, filtered and preprocessed by the signal processing unit, converted into digital signals, and sent in real time to the edge computing module through the wireless transmission module.

[0070] The edge computing module uses a deep learning algorithm model trained by a large number of sample data to comprehensively analyze the electromyogram and the skin conductivity. The model can accurately identify the user operation strength corresponding to different frequency and amplitude combinations of the electromyogram, judge the muscle tension of the user, and evaluate the stress level of the user by fusing the time sequence characteristics and mutation rules of the signals.

[0071] Based on the above biological characteristic parameters, the edge computing module generates adjustment instructions according to a preset mapping rule and sends them to the haptic feedback module and the environment simulation module.

[0072] When it is detected that the user operation strength exceeds a preset threshold, the micro-current array of the haptic feedback module increases the resistance gradient of the piezoelectric deformation layer 301, simulates the drag resistance of sudden ocean current in the marine environment, and enables the user to more realistically perceive the change in operation difficulty; when the skin conductivity reflects that the user is in a high tension state, the environment simulation module reduces the air outlet intensity of the wind field simulation unit and automatically switches the complexity of the virtual scene to reduce the amount of visual, auditory and other information, relieve the cognitive load of the user, and avoid the user from being unable to focus on the experimental operation and learning due to excessive tension.

[0073] By real-time mapping of the electromyogram and the haptic feedback strength, the system constructs an operation behavior-environment resistance coupling model, and the mathematical expression of the model is:

[0074] wherein, represents the haptic feedback strength; is the electromyogram weight coefficient, which can be adjusted according to the experimental scene and user preference; is a function of the change of the myoelectric signal with time, reflecting the dynamic process of muscle activity; is the current time, is the initial time; is an acceleration compensation coefficient, used to comprehensively consider the influence of the virtual device motion speed change on the tactile feedback; is the virtual device motion speed. The establishment of this model further optimizes the perceptual reality of the momentum transmission mechanism, enabling users to have a more accurate grasp of the device motion and force conditions under the action of marine dynamics in the virtual experiment.

[0075] The edge computing module dynamically adjusts the vibration frequency and acting area of the piezoelectric deformation layer 301 based on the model.

[0076] The above only describes the embodiments of the present application, and the well-known specific structures and / or characteristics of the scheme are not described in detail. It should be noted that, for those skilled in the art, without departing from the structure of the present application, a number of modifications and improvements can be made, which should also be considered as the protection scope of the present application, and these will not affect the effect and practicality of the patent. The protection scope of the present application should be subject to the content of its claims, and the specific implementation mode and the like recorded in the specification can be used to explain the content of the claims.

Claims

1. A physical ocean virtual simulation experimental teaching system, characterized in that: The application relates to a virtual ocean teaching system. The virtual module is used for constructing a three-dimensional dynamic virtual ocean scene. The haptic feedback module is used for simulating the haptic feedback strength of wave impact, water pressure resistance and ocean current drag force in the ocean environment. The environment simulation module is used for generating temperature, salinity variation and wind field disturbance matched with the virtual ocean scene. The edge computing module is used for analyzing the user operation behavior and the physical parameters of the virtual scene in real time through a machine learning algorithm, dynamically optimizing the haptic feedback strength and the environment simulation parameters.

2. The physical ocean virtual simulation experiment teaching system according to claim 1, characterized in that: The environment simulation module comprises a temperature control unit, a wind field simulation unit, a salinity adjustment unit and a cooperative control unit. The temperature control unit is used for calculating the corresponding temperature variation curve according to the ocean dynamics model according to the geographical position, depth and seasonal factors in the virtual ocean scene, and adjusting the temperature of the experimental teaching area to the temperature range matched with the virtual scene in real time, so that the user can feel the temperature variation in the ocean environment. The wind field simulation unit is used for simulating the wind field disturbance on the ocean surface and generating the wind force effect consistent with the wind field in the virtual scene. The salinity adjustment unit is used for adjusting the salinity of the experimental teaching area according to the sea water evaporation, precipitation and ocean advection process in the virtual scene, simulating the salinity variation in the ocean environment and enhancing the authenticity of the environment perception.

3. The physical ocean virtual simulation experiment teaching system according to claim 2, characterized in that: The cooperative control sub-module is used for coordinating the work of the temperature control unit, the wind field simulation unit and the salinity adjustment unit, synchronously adjusting the parameters according to the dynamic change of the virtual scene, ensuring the coherence and consistency of the environment simulation and creating a realistic ocean environment atmosphere.

4. The physical ocean virtual simulation experiment teaching system according to claim 3, characterized in that: The haptic feedback module comprises a wearing piece (3).

5. The physical ocean virtual simulation experiment teaching system according to claim 4, characterized in that: The piezoelectric deformation layer (301) is in direct contact with the user's skin, and the piezoelectric deformation layer (301) is provided with a micro-current array away from the user's skin.

6. The physical ocean virtual simulation experiment teaching system according to claim 5, characterized in that: The control module is used for controlling the micro-current array to operate based on the control instruction, so that the piezoelectric deformation layer (301) generates different intensity haptic feedback. The temperature control unit comprises a panel (2). The salinity adjustment unit comprises a plurality of liquid storage cavities (206) for storing water. The liquid storage cavity (206) is in communication with the airflow injection channel (202), and the liquid storage cavity (206) and the airflow injection channel (202) are provided with a throat (203) at the communication position. The liquid storage cavity (206) is provided with an atomization mechanism. The atomization mechanism comprises a sponge column (207). One end of the sponge column (207) is provided with an atomization sheet (208), and the sponge column (207) is used for introducing the water in the liquid storage cavity (206) into the atomization sheet (208).

7. The physical ocean virtual simulation experiment teaching system according to claim 6, characterized in that: The biological collection module is further configured to collect, in real time, an electromyogram and a skin conductivity of the user; the edge computing module is further configured to analyze the electromyogram and the skin conductivity in real time by using a machine learning algorithm, and extract biological characteristic parameters of the user, such as an operation strength, a muscle tension and a stress level; and the haptic feedback module and the environment simulation module dynamically adjust feedback strength and simulation parameters based on the biological characteristic parameters, to form a human state-environment response adaptive closed loop.

8. The physical ocean virtual simulation experiment teaching system according to claim 7, characterized in that: Embodiments of the adaptive closed loop include: When it is detected that the operation strength of the user exceeds a preset threshold, a micro-current array of the haptic feedback module increases a resistance gradient of a piezoelectric deformation layer (301), to simulate a drag resistance of a sudden ocean current in a marine environment; When the skin conductivity reflects that the user is in a highly nervous state, the environment simulation module reduces an air outlet intensity of an air field simulation unit, and automatically switches a virtual scene complexity, to relieve cognitive load; By real-time mapping of the electromyogram and the haptic feedback strength, an operation behavior-environment resistance coupling model is constructed, to optimize perceptual reality of a momentum transmission mechanism.

9. The physical ocean virtual simulation experiment teaching system according to claim 8, characterized in that: The operation behavior-environment resistance coupling model is: ； wherein, is a haptic feedback strength; is a myoelectric weight coefficient; is a function of the myoelectric signal over time; is a current time, is an initial time; is an acceleration compensation coefficient; is a virtual device motion speed.

10. A physical ocean virtual simulation experiment teaching device, characterized in that, The physical marine virtual simulation experiment teaching system integrates the physical marine virtual simulation experiment teaching system according to any one of claims 1-9.

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