Intelligent floating breakwater environment monitoring method

Abstract

The invention relates to the technical field of floating breakwaters, in particular to an intelligent floating breakwater environment monitoring method which comprises the following steps: S1, data monitoring and collection: collecting corresponding marine environment parameters in real time; s2, adopting a bubble curtain noise shielding and vibration reduction technology: deploying bubble curtain equipment around the floating breakwater; s3, data preprocessing: preprocessing the collected marine environment parameters; s4, correcting the deep sea fluid dynamic model: correcting the preprocessed marine environment parameters; s5, data analysis: analyzing the corrected marine environment parameters; and S6, feedback adjustment is conducted, specifically, the working state of the floating breakwater is dynamically adjusted, wherein the floating position is adjusted, and the collection frequency of the sensor is changed. According to the invention, accurate environment information and early warning support are provided for monitoring and management of the marine environment, and real-time monitoring and dynamic adjustment functions are realized.

Description

Technical Field

[0001] The invention relates to the technical field of floating breakwaters, and in particular to an intelligent floating breakwater environment monitoring method. Background Art

[0002] With global climate change and the increasing complexity of the marine environment, the importance of marine environmental monitoring has become increasingly prominent. Floating breakwaters, as an important marine structure, are widely used in ports, marine ranches, offshore wind power and other fields to mitigate wave energy and protect the safety of ports and offshore facilities. However, the traditional floating breakwater monitoring system has many shortcomings, mainly manifested in the lack of comprehensive monitoring data, poor real-time performance, insufficient data collection accuracy and lack of effective dynamic adjustment capabilities.

[0003] Existing floating breakwater monitoring systems usually rely on a single type of sensor, which makes it difficult to achieve comprehensive monitoring of multiple marine environmental parameters. At the same time, the noise and vibration in the marine environment interfere with the sensors to a great extent, affecting the reliability and accuracy of data acquisition. In addition, traditional monitoring systems lack an effective model correction mechanism, which makes the prediction accuracy of marine fluid movement low and makes it difficult to provide accurate environmental information and early warning support.

[0004] In response to the above problems, the present invention proposes an intelligent floating breakwater environmental monitoring method. By comprehensively using a variety of sensors, bubble curtain noise shielding and vibration reduction technology, computational fluid dynamics (CFD) model correction, and advanced data analysis and early warning algorithms, comprehensive monitoring and real-time adjustment of the marine environment are achieved, significantly improving the performance of the monitoring system and data accuracy. Summary of the invention

[0005] Based on the above objectives, the present invention provides an intelligent floating breakwater environment monitoring method.

[0006] The intelligent floating breakwater environmental monitoring method comprises the following steps: S1, data monitoring and collection: various types of sensors are installed at various locations of the floating breakwater to collect corresponding marine environmental parameters in real time; S2, Bubble curtain noise shielding and vibration reduction technology: Bubble curtain equipment is deployed around the floating breakwater. By controlling the thickness and density of the bubble curtain, a noise shielding layer and a vibration reduction layer are formed. The bubble curtain uses the reflection and scattering effect of bubbles in the water to reduce the interference of environmental noise on the sensor. At the same time, the bubble curtain reduces the impact of waves and vibrations on the floating breakwater through the buoyancy and damping effect of bubbles; S3, data preprocessing: preprocessing the collected marine environmental parameters, including data cleaning, denoising and outlier detection; S4, deep-sea fluid dynamics model correction: the computational fluid dynamics (CFD) model is introduced to correct the preprocessed ocean environment parameters; S5, data analysis: Analyze the corrected marine environmental parameters and extract relevant information, including the trend of marine environmental changes and abnormal situation warnings; S6, feedback adjustment: According to the real-time ocean environment parameters and the results of data analysis, the working status of the floating breakwater is dynamically adjusted, including adjusting the floating position and changing the sensor acquisition frequency.

[0007] Furthermore, the data monitoring and collection in S1 includes: S11, sensor deployment: multiple sensor installation points are set up on the floating breakwater, and various types of sensors are fixed on the installation points, including wave sensors, temperature sensors, salinity sensors, pH sensors, dissolved oxygen sensors, and flow rate sensors; S12, real-time data collection: Real-time collection of ocean environmental parameters through various sensors, including wave height, sea water temperature, salinity, pH value, dissolved oxygen and flow rate.

[0008] Furthermore, the bubble curtain noise shielding and vibration reduction technology in S2 includes: S21, installation and control of bubble curtain equipment: installing bubble curtain equipment around the floating breakwater, the bubble curtain equipment is evenly distributed along the periphery of the breakwater, and the bubble generation rate and the thickness and density of the bubble curtain are adjusted by a control unit of the bubble curtain equipment, the control unit includes a gas flow control valve and a pressure regulator; S22, noise shielding layer formation: using the reflection and scattering effect of the bubble curtain in water to form a noise shielding layer, the bubbles produce sound wave reflection and scattering in the water, reducing the interference of environmental noise to the sensor; S23, vibration reduction layer formation: the bubble curtain forms a vibration reduction layer through the buoyancy and damping effect of the bubbles. The buoyancy of the bubbles helps the floating breakwater resist the impact of the waves, and the damping effect of the bubbles reduces the vibration of the breakwater. S24, Bubble curtain status monitoring and adjustment: The status and effect of the bubble curtain are monitored in real time by the bubble curtain sensor installed near the bubble curtain equipment, and the working parameters of the bubble curtain equipment are dynamically adjusted according to the monitored bubble curtain data.

[0009] Furthermore, the deep sea fluid dynamics model correction in S4 includes: S41, model construction: construct a computational fluid dynamics (CFD) model, and input the preprocessed ocean environment parameters into the computational fluid dynamics (CFD) model as input data of the computational fluid dynamics (CFD) model; S42, Numerical simulation: Numerical simulation of input data using computational fluid dynamics (CFD) model; S43, result correction: comparing the simulation results of the computational fluid dynamics (CFD) model with the ocean environment parameters collected in real time, and correcting the ocean environment parameters; S44, correction output: output the corrected ocean environment parameters, and the corrected ocean environment parameters are used as output data for data analysis.

[0010] Furthermore, the computational fluid dynamics (CFD) model includes: Three-dimensional flow field simulation: The Navier-Stokes equation is used to describe the movement of seawater. Considering the incompressibility and nonlinear characteristics of the fluid, a three-dimensional flow field simulation is performed. The calculation formula is: ; Where u is the fluid velocity vector, t is time, is the fluid density, p is the pressure, v is the dynamic viscosity, and f is the external force; Turbulence simulation: Considering the turbulence phenomenon in the ocean, a turbulence model is used to model the turbulent motion to capture the turbulent structure and energy transfer in the flow field. The calculation formula is: ; ; where k is the turbulent kinetic energy, is the turbulent dissipation rate, is the turbulent vorticity, is the turbulent viscosity, , , , is the model constant; Boundary conditions: Set boundary conditions for the breakwater and surrounding sea area to simulate fluid motion in a real ocean environment.

[0011] Furthermore, the boundary conditions include velocity boundary conditions, pressure boundary conditions and turbulence boundary conditions, wherein; The velocity boundary conditions include: Inlet boundary: Set the velocity boundary of the current or wave entering the simulation area. Use the unsteady (time-varying velocity) boundary condition. The calculation formula is: ; in, is the velocity amplitude, is the wave frequency; Outlet boundary: Set the velocity boundary of the fluid leaving the simulation area. Use zero gradient boundary conditions to allow the fluid to flow out freely. The calculation formula is: ; Among them, u is the velocity vector, n is the boundary normal vector; Breakwater surface: Set the velocity boundary condition on the breakwater surface and use the no-slip boundary condition to make the velocity of the fluid at the solid surface zero. The calculation formula is: u=0; The pressure boundary conditions include: Free water surface: Set the pressure boundary condition of the ocean surface to the constant pressure boundary condition so that the fluid surface pressure is equal to the atmospheric pressure. The calculation formula is: ; in, is the pressure at the free water surface, is the atmospheric pressure; Seabed boundary: Set the pressure and velocity boundary conditions on the seabed, use the no-slip velocity boundary and fixed pressure boundary, and the calculation formula is: Velocity boundary: u=0; Pressure Boundary: ; in, is the pressure at the seabed; The turbulent boundary conditions include: Turbulence intensity and turbulent viscosity ratio: set the turbulence characteristics at the inlet and outlet boundaries, set the turbulent kinetic energy k and the turbulent dissipation rate according to the k-epsilon model , the calculation formula is: Turbulent Kinetic Energy: ; Turbulence dissipation rate: ; in, is the inlet velocity, I is the turbulence intensity, is the k-epsilon model constant, l is the turbulence length scale; Turbulence model parameters: According to the selected k-epsilon model, the turbulent kinetic energy and turbulent dissipation rate at the inlet are set. The calculation formula is: Turbulent kinetic energy at the inlet: ; Turbulence dissipation rate at the inlet: ; in, is the inlet turbulence intensity.

[0012] Furthermore, the numerical simulation in S42 includes: S421, meshing: meshing the simulation area to generate a computational grid, and discretizing the simulation area into small units through meshing; S422, setting boundary conditions: setting boundary conditions for simulation; S423, select turbulence model: select k-epsilon model and set corresponding parameters. The calculation formula is: Turbulent Kinetic Energy: ; Turbulence dissipation rate: ; where k is the turbulent kinetic energy, is the turbulent dissipation rate, is the turbulence generation term, and is the model constant; S424, solve the fluid motion equation: discretize the continuity equation and momentum equation of the fluid, calculate the velocity and pressure distribution of the flow field, and the calculation formula is: ; ; Where u is the fluid velocity vector, p is the pressure, is the dynamic viscosity, f is the volume force (such as gravity); S425, iterative solution: use the SIMPLE algorithm to solve the discretized equation until the convergence criterion is met.

[0013] Furthermore, the result correction in S43 includes: S431, identifying differences: comparing and analyzing the results of the numerical simulation with the ocean environment parameters collected in real time, and identifying the differences and deviations between the real-time ocean environment parameters and the results of the numerical simulation through comparative analysis; S432, correcting parameters: correcting the marine environment parameters according to the identified differences; S433, verify the correction effect: re-perform numerical simulation, and compare the corrected simulation results with the real-time ocean environment parameters to verify the correction effect.

[0014] Furthermore, the data analysis in S5 includes: S51, analysis of marine environment change trend: based on the corrected marine environment parameters, the linear regression model is used to analyze the change trend of marine environment parameters; S52, abnormal situation warning: according to the corrected marine environmental parameters, an abnormality detection model is established. The abnormality detection model adopts a support vector machine (SVM) model to identify and warn abnormal situations by monitoring the changes in marine environmental parameters.

[0015] Beneficial effects of the present invention: The present invention realizes comprehensive monitoring and data analysis of the marine environment through an intelligent floating breakwater environmental monitoring method. By installing various types of sensors on the floating breakwater, various marine environmental parameters including wave height, seawater temperature, salinity, pH value, dissolved oxygen and flow rate are collected in real time. The bubble curtain noise shielding and vibration reduction technology is used to improve the accuracy and reliability of data acquisition. By analyzing the corrected marine environmental parameters, the marine environmental change trend and abnormal situation warning information are extracted, which provides accurate environmental information and warning support for the monitoring and management of the marine environment, and has real-time monitoring and dynamic adjustment functions.

[0016] The present invention introduces a computational fluid dynamics model to correct the pre-processed marine environmental parameters, especially the flow velocity parameters, which significantly improves the prediction accuracy of marine fluid movement. The CFD model takes into account the incompressibility, nonlinear characteristics and turbulence of seawater, and can accurately simulate the complex fluid dynamics around the breakwater. By dynamically adjusting and correcting the CFD model, the changes in the marine environment are reflected in real time, and more accurate parameters such as flow velocity, flow direction and pressure are provided, which provides a reliable basis for subsequent data analysis and feedback adjustment, and improves the overall performance and data reliability of the monitoring system.

[0017] The present invention analyzes the changing trends of marine environmental parameters through a linear regression model, helps predict the evolution of the marine environment, establishes an anomaly detection model for abnormal situation warning, effectively identifies and warns of sudden water pollution, abnormal ocean current changes, etc., can provide important support and reference for marine environmental monitoring and management, ensure the reliability and accuracy of monitoring data, and provide a scientific basis for the protection and utilization of marine resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A schematic diagram of a monitoring method flow chart of an embodiment of the present invention; Figure 2 Schematic diagram of deep sea fluid dynamics model correction according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0021] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0022] like Figure 1-Figure 2 As shown, the intelligent floating breakwater environment monitoring method comprises the following steps: S1, data monitoring and collection: various types of sensors are installed at various locations of the floating breakwater to collect corresponding marine environmental parameters in real time; S2, Bubble curtain noise shielding and vibration reduction technology: Bubble curtain equipment is deployed around the floating breakwater. By controlling the thickness and density of the bubble curtain, a noise shielding layer and a vibration reduction layer are formed. The bubble curtain uses the reflection and scattering effect of bubbles in the water to reduce the interference of environmental noise on the sensor and improve the accuracy of data collection. At the same time, the bubble curtain reduces the impact of waves and vibrations on the floating breakwater through the buoyancy and damping effect of bubbles, stabilizes the working environment of the sensor, and ensures the continuity and reliability of data; S3, data preprocessing: preprocessing the collected marine environmental parameters, including data cleaning, denoising and outlier detection, to improve the accuracy and efficiency of data processing; S4, deep-sea fluid dynamics model correction: introduce computational fluid dynamics (CFD) model to correct the pre-processed ocean environment parameters and improve the prediction accuracy of ocean fluid movement; S5, data analysis: Analyze the corrected marine environmental parameters and extract relevant information, including the trend of marine environmental changes and abnormal situation warnings; S6, feedback adjustment: dynamically adjust the working status of the floating breakwater according to the real-time marine environmental parameters and the results of data analysis, including adjusting the floating position and changing the sensor acquisition frequency to optimize the monitoring effect; Through the above steps, the present invention realizes comprehensive monitoring and data analysis of the marine environment, provides accurate environmental information and early warning, has real-time monitoring and dynamic adjustment functions, ensures the reliability and accuracy of monitoring data, introduces deep-sea fluid dynamics model correction and bubble curtain noise shielding and vibration reduction technology, and significantly improves the performance of the monitoring system and data accuracy.

[0023] Data monitoring and collection in S1 include: S11, sensor deployment: multiple sensor installation points are set up on the floating breakwater, and various types of sensors are fixed on the installation points, including wave sensors, temperature sensors, salinity sensors, pH sensors, dissolved oxygen sensors, and flow rate sensors; S12, real-time data collection: real-time collection of ocean environmental parameters through various sensors, including wave height, sea temperature, salinity, pH value, dissolved oxygen and flow rate; Wave height measures the height and frequency of waves to assess the impact of waves on breakwaters; Seawater temperature provides ambient temperature data by monitoring changes in seawater temperature; Salinity assesses the salinity level of seawater by measuring the salt content in the seawater; The pH value assesses the chemical state of seawater by monitoring its acidity and alkalinity; Dissolved oxygen Assess the oxygen level of seawater by measuring the dissolved oxygen content in seawater; Flow velocity provides data on the movement of ocean fluids by monitoring the speed and direction of seawater; Through the above steps, it is ensured that various types of sensors are installed at various locations of the floating breakwater to collect corresponding marine environmental parameters in real time and accurately.

[0024] The bubble curtain noise shielding and vibration reduction technology in S2 includes: S21, installation and control of bubble curtain equipment: install bubble curtain equipment around the floating breakwater, and the bubble curtain equipment is evenly distributed along the periphery of the breakwater to cover the key areas of the breakwater. The bubble generation rate and the thickness and density of the bubble curtain are adjusted through the control unit of the bubble curtain equipment. The control unit includes an adjustable gas flow control valve and a pressure regulator to ensure the uniformity and stability of the bubble curtain; S22, noise shielding layer formation: using the reflection and scattering effect of the bubble curtain in water to form a noise shielding layer, the bubbles produce sound wave reflection and scattering in the water, reducing the interference of environmental noise to the sensor and improving the accuracy of data collection; S23, vibration reduction layer formation: The bubble curtain forms a vibration reduction layer through the buoyancy and damping effect of the bubbles. The buoyancy of the bubbles helps the floating breakwater resist the impact of waves, and the damping effect of the bubbles reduces the vibration of the breakwater, ensuring a stable working environment for the sensor. S24, Bubble curtain status monitoring and adjustment: The bubble curtain status and effect are monitored in real time through the bubble curtain sensor installed near the bubble curtain equipment. According to the monitored bubble curtain data, the working parameters of the bubble curtain equipment are dynamically adjusted to maintain the stability and effectiveness of the bubble curtain. The bubble curtain status monitoring and adjustment specifically include: Bubble generation rate adjustment: The bubble generation rate R (number of bubbles / second) needs to be adjusted according to the current noise and vibration levels to achieve the target effect. The control formula is: ; in, and is the control coefficient, determined experimentally, N is the current ambient noise level (dB), is the target noise level (dB), V is the current wave vibration amplitude (m), is the target wave vibration amplitude (m); Bubble density adjustment: Based on the real-time monitored bubble density D (number of bubbles / unit volume) and the target bubble density (Number of bubbles / unit volume), adjust the bubble generation rate R, and the calculation formula is: ; in, is the control coefficient, determined experimentally; Bubble curtain thickness adjustment: According to the real-time monitored bubble curtain thickness T (m) and the target bubble curtain thickness (m), adjust the working parameters of the bubble generating device (gas flow and pressure), the calculation formula is: ; in, is the control coefficient, determined experimentally, and P is the gas pressure; Control coefficient , , , Determine by following these steps: 1. Experimental preparation: Select a controlled marine environment, such as an experimental tank or open water, deploy the bubble curtain device around the floating breakwater, install noise sensors, vibration sensors and bubble monitoring sensors, set the initial bubble generation rate and gas pressure ; 2. Experimental steps: a. Confirm and : Under different noise levels N and vibration amplitudes V, record the shielding effect of the bubble curtain on noise and vibration, adjust the bubble generation rate R, observe the changes in noise level and vibration amplitude, record the data, and use regression analysis to find the best control coefficient and , so that noise and vibration are minimized, the calculation formula is: ; ; in, is the average value of the ambient noise level, is the average value of the bubble generation rate, n is the number of experimental data sets, is the environmental noise level in the i-th set of experimental data, is the bubble generation rate in the i-th set of experimental data; ; ; in, is the average value of the wave vibration amplitude, is the amplitude of the wave vibration in the i-th set of experimental data; b. Confirm : Under different bubble densities D, record the shielding effect and generation rate of the bubble curtain, adjust the bubble generation rate R, observe the changes in bubble density, record the data, and use regression analysis to find the optimal control coefficient , to ensure that the bubble density is maintained at an optimal level, the calculation formula is: ; ; in, is the average bubble density, is the bubble density in the i-th set of experimental data; c. Confirm : Under different bubble curtain thickness T, record the shielding effect and gas pressure of the bubble curtain, adjust the gas pressure P, observe the change of bubble curtain thickness, record the data, and use regression analysis to find the best control coefficient , to ensure that the bubble curtain thickness is maintained at an optimal level, the calculation formula is: ; ; in, is the average thickness of the bubble curtain, is the bubble curtain thickness in the i-th group of experimental data, is the average gas pressure, is the gas pressure in the i-th set of experimental data.

[0025] , , , Determine by following these steps: Target noise level :The data acquisition accuracy of the sensor under different noise levels is measured through experiments, and the maximum noise level at which the sensor can work normally is found. Combined with the noise level in the marine environment, it is set as the maximum noise level at which the sensor can work normally minus a safety margin; Target wave vibration amplitude :The data acquisition accuracy of the sensor under different vibration amplitudes is measured through experiments, and the maximum vibration amplitude at which the sensor can work normally is found. Combined with the vibration conditions in the marine environment, it is set as the maximum vibration amplitude at which the sensor can work normally minus a safety margin; Target bubble density :The noise shielding and vibration reduction effects of the bubble curtain under different bubble densities are determined through experiments, and the optimal bubble density for the bubble curtain to effectively shield noise and reduce vibration is found and ensure that this density can be achieved and maintained in practical applications; Target bubble curtain thickness :The shielding and vibration reduction effects of different bubble curtain thicknesses are determined through experiments, and the optimal thickness of the bubble curtain that can effectively shield noise and reduce vibration is found and ensure that this thickness can be achieved and maintained in practical applications; Through the above steps, the bubble curtain equipment is deployed around the floating breakwater. By controlling the thickness and density of the bubble curtain, a noise shielding layer and a vibration reduction layer are formed. The bubble curtain reduces the interference of environmental noise on the sensor and improves the accuracy of data collection through the reflection and scattering effects of bubbles in the water. At the same time, the bubble curtain reduces the impact of waves and vibrations on the floating breakwater through the buoyancy and damping effect of bubbles.

[0026] The deep ocean hydrodynamic model corrections in S4 include: S41, model construction: construct a computational fluid dynamics (CFD) model, and input the preprocessed ocean environment parameters into the computational fluid dynamics (CFD) model as input data of the computational fluid dynamics (CFD) model; S42, Numerical simulation: Numerical simulation of input data using computational fluid dynamics (CFD) model; S43, result correction: comparing the simulation results of the computational fluid dynamics (CFD) model with the ocean environment parameters collected in real time, and correcting the ocean environment parameters; S44, correction output: outputting the corrected ocean environment parameters, and the corrected ocean environment parameters are used as output data for data analysis; By introducing the computational fluid dynamics (CFD) model and correcting the pre-processed marine environmental parameters, the prediction accuracy of marine fluid movement can be significantly improved. The CFD model takes into account the incompressibility, nonlinear characteristics and turbulence of seawater, and can accurately simulate the complex fluid dynamics around the breakwater. By dynamically adjusting and correcting the CFD model, it can reflect changes in the marine environment in real time, provide more accurate flow velocity, flow direction, pressure and other parameters, provide a reliable basis for data analysis and feedback adjustment, and improve the overall performance and data reliability of the monitoring system.

[0027] Computational Fluid Dynamics (CFD) models include: Three-dimensional flow field simulation: The Navier-Stokes equation is used to describe the movement of seawater. Considering the incompressibility and nonlinear characteristics of the fluid, a three-dimensional flow field simulation is performed. The calculation formula is: ; Where u is the fluid velocity vector, t is time, is the fluid density, p is the pressure, v is the dynamic viscosity, and f is the external force; Turbulence simulation: Considering the turbulence phenomenon in the ocean, a turbulence model is used to model the turbulent motion to capture the turbulent structure and energy transfer in the flow field. The calculation formula is: ; ; where k is the turbulent kinetic energy, is the turbulent dissipation rate, is the turbulent vorticity, is the turbulent viscosity, , , , is the model constant; Boundary conditions: Set boundary conditions of the breakwater and surrounding sea area to simulate fluid motion in real marine environment; The present invention can accurately simulate and predict the fluid movement in the marine environment around the breakwater by introducing the computational fluid dynamics (CFD) model. The CFD model takes into account the incompressibility, nonlinear characteristics and turbulence of seawater, and can capture various motion characteristics in the ocean flow field, such as waves, eddies and turbulence.

[0028] Boundary conditions include velocity boundary conditions, pressure boundary conditions and turbulence boundary conditions, among which; Velocity boundary conditions include: Inlet boundary: Set the velocity boundary of the current or wave entering the simulation area. Use the unsteady (time-varying velocity) boundary condition. The calculation formula is: ; in, is the velocity amplitude, is the wave frequency; Outlet boundary: Set the velocity boundary of the fluid leaving the simulation area. Use zero gradient boundary conditions to allow the fluid to flow out freely. The calculation formula is: ; Among them, u is the velocity vector, n is the boundary normal vector; Breakwater surface: Set the velocity boundary condition on the breakwater surface and use the no-slip boundary condition to make the velocity of the fluid at the solid surface zero. The calculation formula is: u=0; Pressure boundary conditions include: Free water surface: Set the pressure boundary condition of the ocean surface to the constant pressure boundary condition so that the fluid surface pressure is equal to the atmospheric pressure. The calculation formula is: ; in, is the pressure at the free water surface, is the atmospheric pressure; Seabed boundary: Set the pressure and velocity boundary conditions on the seabed, use the no-slip velocity boundary and fixed pressure boundary, and the calculation formula is: Velocity boundary: u=0; Pressure Boundary: ; in, is the pressure at the seabed; Turbulent boundary conditions include: Turbulence intensity and turbulent viscosity ratio: set the turbulence characteristics at the inlet and outlet boundaries, set the turbulent kinetic energy k and the turbulent dissipation rate according to the k-epsilon model , the calculation formula is: Turbulent Kinetic Energy: ; Turbulence dissipation rate: ; in, is the inlet velocity, I is the turbulence intensity, is the k-epsilon model constant, l is the turbulence length scale; Turbulence model parameters: According to the selected k-epsilon model, the turbulent kinetic energy and turbulent dissipation rate at the inlet are set. The calculation formula is: Turbulent kinetic energy at the inlet: ; Turbulence dissipation rate at the inlet: ; in, is the inlet turbulence intensity; The present invention ensures the accuracy of the simulation results by setting the speed of the fluid at the inlet, outlet and breakwater surface, controlling the way the fluid enters and leaves the simulation area, and ensuring that the fluid pressure is consistent with the actual environment by setting the pressure of the free water surface and the seabed. It also simulates the turbulence phenomenon in the fluid and captures the complex motion characteristics in the flow field by setting the turbulence intensity and turbulence model parameters. By reasonably setting these boundary conditions, it can be ensured that the CFD model accurately simulates the fluid motion in the breakwater and its surrounding sea area, thereby improving the prediction accuracy of the marine environment.

[0029] The numerical simulations in S42 include: S421, meshing: meshing the simulation area to generate a computational grid. Through meshing, the simulation area is discretized into small units for numerical calculation. S422, setting boundary conditions: setting boundary conditions for simulation; S423, select turbulence model: select k-epsilon model and set corresponding parameters. The calculation formula is: Turbulent Kinetic Energy: ; Turbulence dissipation rate: ; where k is the turbulent kinetic energy, is the turbulent dissipation rate, is the turbulence generation term, and is the model constant; S424, solve the fluid motion equation: discretize the continuity equation and momentum equation of the fluid, calculate the velocity and pressure distribution of the flow field, and the calculation formula is: ; ; Where u is the fluid velocity vector, p is the pressure, is the dynamic viscosity, f is the volume force (such as gravity); S425, iterative solution: using the SIMPLE algorithm to solve the discretized equation until the convergence criterion is met; The SIMPLE algorithm includes: Predicted velocity field: Ignore the pressure gradient term and solve for the velocity prediction value , the calculation formula is: ; in, is the predicted speed, is the speed of the previous step, is the time step, is the fluid density, is the dynamic viscosity, It is the volume force; Calculate the pressure correction equation: Calculate the pressure correction value based on the continuity equation , the calculation formula is: ; in, is the pressure correction value, is the predicted speed; Update pressure field: Update the pressure field p, the calculation formula is: ; in, is the updated pressure, It’s the pressure from the previous step; Update velocity field: Update velocity field u according to pressure correction value. The calculation formula is: ; in, is the updated speed; Iterative convergence: Repeat the above steps until the convergence criteria are met, that is, the velocity and pressure changes are within the allowable range. The convergence criteria are expressed as: ; in, is the preset convergence tolerance; Through the above steps, the computational fluid dynamics (CFD) model is used to perform numerical simulation on the input data, which can accurately calculate the flow state, pressure distribution and velocity distribution of the fluid around the breakwater. The construction of the model, the setting of boundary conditions and the setting of physical parameters ensure the accuracy and reliability of the simulation results. Iterative solution and result analysis further provide detailed flow field information, which provides an important basis for breakwater design and marine engineering.

[0030] The result correction in S43 includes: S431, identifying differences: comparing and analyzing the results of the numerical simulation with the ocean environment parameters collected in real time, and identifying the differences and deviations between the real-time ocean environment parameters and the results of the numerical simulation through comparative analysis; S432, correcting parameters: correcting the marine environment parameters according to the identified differences; S433, verify the correction effect: re-perform numerical simulation, and compare the corrected simulation results with the real-time ocean environment parameters to verify the correction effect.

[0031] Data analysis in S5 includes: S51, Analysis of marine environment change trends: Based on the corrected marine environment parameters, the linear regression model is used to analyze the change trends of marine environment parameters. By identifying and analyzing the change trends of marine environment parameters, it helps to predict the evolution of the marine environment. The calculation formula of the linear regression model is: ; Among them, y is the ocean environment parameter (such as temperature, salinity, etc.), t is the time, and is the regression coefficient; S52, abnormal situation warning: according to the corrected marine environmental parameters, an abnormality detection model is established to identify and warn abnormal situations by monitoring the changes in the marine environmental parameters; The anomaly detection model uses the support vector machine (SVM) model. The calculation formula of the support vector machine (SVM) model is: ; Among them, w is the weight vector, b is the bias, C is the regularization parameter, is the label (normal or abnormal), is the input feature; Through the above steps, the present invention can effectively analyze the corrected marine environmental parameters and extract relevant information, including marine environmental change trends and abnormal situation warnings, providing important support and reference for marine environmental monitoring and management.

[0032] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present invention is limited to these examples. Under the concept of the present invention, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the present invention as described above, which are not provided in detail for the sake of simplicity.

[0033] The present invention is intended to cover all such substitutions, modifications and variations that fall within the broad scope of the claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent floating breakwater environmental monitoring method, characterized in that: The following steps are involved: S1, data monitoring and collection: various types of sensors are installed at various locations of the floating breakwater to collect corresponding marine environmental parameters in real time; S2, Bubble curtain noise shielding and vibration reduction technology: Bubble curtain equipment is deployed around the floating breakwater. By controlling the thickness and density of the bubble curtain, a noise shielding layer and a vibration reduction layer are formed. The bubble curtain uses the reflection and scattering effect of bubbles in the water to reduce the interference of environmental noise on the sensor. At the same time, the bubble curtain reduces the impact of waves and vibrations on the floating breakwater through the buoyancy and damping effect of bubbles; S3, data preprocessing: preprocessing the collected marine environmental parameters, including data cleaning, denoising and outlier detection; S4, deep-sea fluid dynamics model correction: introduce computational fluid dynamics model to correct the preprocessed ocean environment parameters; S5, data analysis: Analyze the corrected marine environmental parameters and extract relevant information, including the trend of marine environmental changes and abnormal situation warnings; S6, feedback adjustment: According to the real-time ocean environment parameters and the results of data analysis, the working status of the floating breakwater is dynamically adjusted, including adjusting the floating position and changing the sensor acquisition frequency.

2. The intelligent floating breakwater environment monitoring method according to claim 1 is characterized in that: The data monitoring and collection in S1 includes: S11, sensor deployment: multiple sensor installation points are set up on the floating breakwater, and various types of sensors are fixed on the installation points, including wave sensors, temperature sensors, salinity sensors, pH sensors, dissolved oxygen sensors, and flow rate sensors; S12, real-time data collection: Real-time collection of ocean environmental parameters through various sensors, including wave height, sea water temperature, salinity, pH value, dissolved oxygen and flow rate.

3. The intelligent floating breakwater environment monitoring method according to claim 1 is characterized in that: The bubble curtain noise shielding and vibration reduction technology in S2 includes: S21, installation and control of bubble curtain equipment: installing bubble curtain equipment around the floating breakwater, the bubble curtain equipment is evenly distributed along the periphery of the breakwater, and the bubble generation rate and the thickness and density of the bubble curtain are adjusted by a control unit of the bubble curtain equipment, the control unit includes a gas flow control valve and a pressure regulator; S22, noise shielding layer formation: using the reflection and scattering effect of the bubble curtain in water to form a noise shielding layer, the bubbles produce sound wave reflection and scattering in the water, reducing the interference of environmental noise to the sensor; S23, vibration reduction layer formation: the bubble curtain forms a vibration reduction layer through the buoyancy and damping effect of the bubbles. The buoyancy of the bubbles helps the floating breakwater resist the impact of the waves, and the damping effect of the bubbles reduces the vibration of the breakwater. S24, Bubble curtain status monitoring and adjustment: The status and effect of the bubble curtain are monitored in real time by the bubble curtain sensor installed near the bubble curtain equipment, and the working parameters of the bubble curtain equipment are dynamically adjusted according to the monitored bubble curtain data.

4. The intelligent floating breakwater environment monitoring method according to claim 1 is characterized in that: The deep-sea hydrodynamic model correction in S4 includes: S41, model construction: constructing a computational fluid dynamics model, and inputting the preprocessed ocean environment parameters into the computational fluid dynamics model as input data of the computational fluid dynamics model; S42, numerical simulation: numerical simulation of input data using computational fluid dynamics model; S43, result correction: comparing the simulation results of the computational fluid dynamics model with the ocean environment parameters collected in real time, and correcting the ocean environment parameters; S44, correction output: output the corrected ocean environment parameters, and the corrected ocean environment parameters are used as output data for data analysis.

5. The intelligent floating breakwater environment monitoring method according to claim 4 is characterized in that: The computational fluid dynamics model includes: Three-dimensional flow field simulation: The Navier-Stokes equation is used to describe the movement of seawater. Considering the incompressibility and nonlinear characteristics of the fluid, a three-dimensional flow field simulation is performed. The calculation formula is: ； Where u is the fluid velocity vector, t is time, is the fluid density, p is the pressure, v is the dynamic viscosity, and f is the external force; Turbulence simulation: Considering the turbulence phenomenon in the ocean, a turbulence model is used to model the turbulent motion to capture the turbulent structure and energy transfer in the flow field. The calculation formula is: ； ； where k is the turbulent kinetic energy, is the turbulent dissipation rate, is the turbulent vorticity, is the turbulent viscosity, , , , is the model constant; Boundary conditions: Set boundary conditions for the breakwater and surrounding sea area to simulate fluid motion in a real ocean environment.

6. The intelligent floating breakwater environment monitoring method according to claim 5 is characterized in that: The boundary conditions include velocity boundary conditions, pressure boundary conditions and turbulence boundary conditions, wherein; The velocity boundary conditions include: Inlet boundary: Set the velocity boundary of the current or wave entering the simulation area. Use the unsteady boundary condition. The calculation formula is: ； in, is the velocity amplitude, is the wave frequency; Outlet boundary: Set the velocity boundary of the fluid leaving the simulation area. Use zero gradient boundary conditions to allow the fluid to flow out freely. The calculation formula is: ； Among them, u is the velocity vector, n is the boundary normal vector; Breakwater surface: Set the velocity boundary condition on the breakwater surface and use the no-slip boundary condition to make the velocity of the fluid at the solid surface zero. The calculation formula is: u=0； The pressure boundary conditions include: Free water surface: Set the pressure boundary condition of the ocean surface to the constant pressure boundary condition so that the fluid surface pressure is equal to the atmospheric pressure. The calculation formula is: ； in, is the pressure at the free water surface, is the atmospheric pressure; Seabed boundary: Set the pressure and velocity boundary conditions on the seabed, use the no-slip velocity boundary and fixed pressure boundary, and the calculation formula is: Velocity boundary: u=0; Pressure Boundary: ; in, is the pressure at the seabed; The turbulent boundary conditions include: Turbulence intensity and turbulent viscosity ratio: set the turbulence characteristics at the inlet and outlet boundaries, set the turbulent kinetic energy k and the turbulent dissipation rate according to the k-epsilon model , the calculation formula is: Turbulent Kinetic Energy: ; Turbulence dissipation rate: ; in, is the inlet velocity, I is the turbulence intensity, is the k-epsilon model constant, l is the turbulence length scale; Turbulence model parameters: According to the selected k-epsilon model, the turbulent kinetic energy and turbulent dissipation rate at the inlet are set. The calculation formula is: Turbulent kinetic energy at the inlet: ; Turbulence dissipation rate at the inlet: ; in, is the inlet turbulence intensity.

7. The intelligent floating breakwater environment monitoring method according to claim 6 is characterized in that: The numerical simulation in S42 includes: S421, meshing: meshing the simulation area to generate a computational grid, and discretizing the simulation area into small units through meshing; S422, setting boundary conditions: setting boundary conditions for simulation; S423, select turbulence model: select k-epsilon model and set corresponding parameters. The calculation formula is: Turbulent Kinetic Energy: ; Turbulence dissipation rate: ; where k is the turbulent kinetic energy, is the turbulent dissipation rate, is the turbulence generation term, and is the model constant; S424, solve the fluid motion equation: discretize the continuity equation and momentum equation of the fluid, calculate the velocity and pressure distribution of the flow field, and the calculation formula is: ； ； Where u is the fluid velocity vector, p is the pressure, is the dynamic viscosity, f is the volume force; S425, iterative solution: use the SIMPLE algorithm to solve the discretized equation until the convergence criterion is met.

8. The intelligent floating breakwater environment monitoring method according to claim 7 is characterized in that: The result correction in S43 includes: S431, identifying differences: comparing and analyzing the results of the numerical simulation with the ocean environment parameters collected in real time, and identifying the differences and deviations between the real-time ocean environment parameters and the results of the numerical simulation through comparative analysis; S432, correcting parameters: correcting the marine environment parameters according to the identified differences; S433, verify the correction effect: re-perform numerical simulation, and compare the corrected simulation results with the real-time ocean environment parameters to verify the correction effect.

9. The intelligent floating breakwater environment monitoring method according to claim 1, characterized in that: The data analysis in S5 includes: S51, analysis of marine environment change trend: based on the corrected marine environment parameters, the linear regression model is used to analyze the change trend of marine environment parameters; S52, abnormal situation warning: according to the corrected marine environmental parameters, an abnormality detection model is established. The abnormality detection model adopts a support vector machine model to identify and warn abnormal situations by monitoring the changes in marine environmental parameters.

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