Wave simulation method for antifouling curtain test

Abstract

The invention relates to the technical field of ocean engineering, in particular to a wave simulation method for an anti-fouling curtain test, and solves the problems of unreliable anti-fouling curtain model test result and incapability of accurately guiding design and safety evaluation caused by low wave simulation precision and single working condition in the prior art. The invention discloses a wave simulation method for an anti-fouling curtain test. The method comprises the following steps: manufacturing and installing an anti-fouling curtain reduced scale model according to a gravity similarity criterion; arranging a wave height meter at the center of the model; inputting target wave parameters and generating initial waves; actually measuring wave data through a wave height meter, comparing the wave data with a target value, iteratively correcting a wave making signal until an error reaches the standard, and locking a final signal; the final signal is used for generating stable waves, and cable tension, floating body movement and wave data are synchronously collected. According to the method, wave elements are reproduced through closed-loop iteration correction, the accuracy and comprehensiveness of the test are improved by combining the multi-sequence system test, and a reliable basis is provided for optimization design and safety evaluation of the antifouling curtain.

Description

Technical Field

[0001] This invention relates to the field of marine engineering technology, and in particular to a wave simulation method for testing antifouling curtains. Background Technology

[0002] In port and waterway dredging, marine engineering construction, and other activities, antifouling curtains (also known as antifouling screens) are often deployed for underwater containment to prevent the spread of suspended sediment and pollutants. Antifouling curtains are typically complex flexible structural systems composed of floats, flexible fabric, bottom counterweights, and anchoring systems. Their structural safety and barrier effectiveness are directly tested by the severe dynamic environment of the ocean, including waves and currents. Physical model testing, as a key means of studying the dynamic response of this structure, optimizing its design, and verifying its safety margin, highly depends on the accurate simulation of marine environmental conditions, especially wave conditions. Currently, wave simulation in physical model tests of antifouling curtains mostly employs relatively traditional methods. Typically, after determining the model scale based on similarity criteria, the design wave parameters are converted into model values ​​and input into the wave generation control system to generate waves. However, this conventional method has several significant limitations: First, the simulation accuracy control is coarse. It often relies on experience or open-loop control, lacking real-time, high-precision measurement and feedback adjustment of generated wave elements (wave height, period), leading to a significant deviation between the experimental wave environment and the design target. For flexible systems like antifouling curtains, which are sensitive to loads and have complex motion responses, this deviation directly affects the accuracy of key safety data such as cable stress and buoy submersion depth. Second, the test conditions are often singular and fragmented. Most tests only target individual design wave heights (such as extreme conditions) or a few discrete conditions, failing to systematically study the impact of changes in multiple key parameters such as wave height, period, and water depth on the performance of the antifouling curtain. This piecemeal testing approach makes it difficult to fully grasp the safety boundaries of the structure and cannot provide a complete parameter influence spectrum for optimized design. Third, there is insufficient simulation of complex marine dynamic environments. In actual sea conditions, waves and currents often interact and have coupling effects. Traditional methods, when simulating the interaction of waves and currents, often fail to adequately consider the deformation of waves in the background flow field, or lack the coordinated control process to accurately reproduce the design waves in a stable flow field, resulting in a disconnect between experimental conditions and real complex environments.

[0003] Therefore, we propose a wave simulation method for anti-fouling curtain testing to solve the above problems. Summary of the Invention

[0004] The purpose of this invention is to provide a wave simulation method for testing antifouling curtains, which solves the problems in the prior art where insufficient wave simulation accuracy, single test conditions, and inaccurate reproduction of wave-current coupling environment lead to low reliability of physical model test results for antifouling curtains, and the inability to comprehensively assess structural safety and guide optimization design.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: A wave simulation method for testing anti-fouling curtains includes the following steps: S1. Model preparation and arrangement: Determine the geometric scale λ of the model according to the gravity similarity criterion, and make a scaled-down model of the antifouling curtain including the float, curtain and anchoring system according to the scale λ. Then, install the model at the preset position of the wave tank test section. S2. Measuring instrument setup: At least one wave height meter shall be set at the center point of the preset model area on the central axis of the anti-fouling curtain model; S3. Wave parameter input and initial wave generation: The prototype design wave elements for the target test conditions, calculated according to the model scale λ, are input into the wave generation control system. The control system generates an initial wave generation signal to drive the wave generator to produce an initial wave sequence. S4. Wave Element Iterative Correction: The wave surface history data of the initial wave sequence are collected by the wave height meter, and the measured wave height and measured period are calculated. The measured wave height and measured period are compared with the target wave height and target period. The initial wave generation signal is corrected according to the comparison error, and the corrected wave generation signal is generated and the wave generator is driven to generate waves again. This process of collection, comparison and correction is repeated. After several iterations, the error between the measured wave elements and the target wave elements is within the preset tolerance range, and the final wave generation signal for this working condition is locked. S5. Stability Test and Data Acquisition: The final wave-generating signal is used to control the wave generator to produce a stable design wave environment. Under this environment, the hydrodynamic characteristics of the antifouling curtain are tested, and the anchor cable tension data, floating body motion image data, and wave data of the antifouling curtain model are collected simultaneously.

[0006] Preferably, in step S3, the target test condition is based on a systematic test sequence design, the test sequence including: First sequence: Keep the target values ​​of simulated water depth and wave height unchanged, and change the target value of wave period sequentially according to the preset gradient; Second sequence: Keep the target values ​​of simulated water depth and wave period unchanged, and change the target value of wave height sequentially according to the preset gradient; The third sequence: synchronously change the target values ​​of simulated water depth, wave height, and wave period to simulate the combination of wave elements under different water depth conditions.

[0007] Preferably, by executing the first, second, and third sequences, the simulated wave conditions cover a prototype wave height range of 0.71m to 3.54m, a prototype wave period range of 4.2s to 12.6s, and cover at least three different prototype water depth conditions.

[0008] Preferably, in step S1, the determination of the model's geometric scale λ is specifically as follows: it is calculated based on the ratio of the unit area mass of the prototype antifouling curtain material to the unit area mass of the selected model simulated curtain material; and it strictly follows the gravity similarity criterion, wherein the linear scale is λ and the velocity scale is λ. 1 / 2 The scale of the concentrated force is λ 3 The time scale is λ 1 / 2 .

[0009] Preferably, in step S5, the hydrodynamic characteristic test of the antifouling curtain includes tests under three dynamic environments: Simple wave action test: The wave generator is activated only, and the test is conducted under the stable design wave obtained in step S4; Simple water flow effect test: The test is conducted under a stable and uniform flow field with only the flow generation system activated; Wave-current interaction test: First, start the flow generation system and wait for the flow field to stabilize, then start the wave generator to apply the design wave obtained in step S4, and conduct the test under a stable wave-current coupling field.

[0010] Preferably, in step S5, when measuring the tension of the anchor cable, multiple tension sensors are symmetrically arranged on both sides along the length of the anti-fouling curtain model, and a synchronous acquisition system is used to record the time history data of all tension sensors during the test, which is used to analyze the spatial non-uniformity of the cable force distribution and determine the maximum single cable load.

[0011] Preferably, the wave trough is a two-dimensional trough. In step S1, the curtain of the anti-fouling curtain model is horizontally spread across the entire width of the two-dimensional trough, so that the water flow and waves cannot flow around the sides of the model.

[0012] Preferably, in step S4, the iterative correction process is implemented by an automatic feedback control algorithm. The algorithm uses the real-time measurement value of the wave height meter as a feedback signal, performs continuous or discrete comparison with the set target value, and automatically and in real-time adjusts the driving voltage or displacement signal of the wave generator based on a predetermined control law.

[0013] Preferably, the floating body motion image data collected in step S5 is used for image analysis processing to determine the floating body's motion mode in the waves, heave amplitude, and instantaneous submersion depth relative to the still water surface.

[0014] Preferably, based on the maximum cable tension data and the critical submersion depth data of the float collected under different wave conditions in step S5, the key parameters required for the design of the antifouling curtain project are determined, including: the minimum breaking strength requirement of the anchor cable, the minimum diameter and reserve buoyancy required for the float to resist submersion, and the minimum unit length counterweight required to maintain the bottom seal of the curtain.

[0015] This invention has at least the following beneficial effects: Improving the accuracy and reliability of wave simulation and testing: This invention introduces an iterative correction step for wave elements, using a wave height meter to collect wave surface data in real time and compare it with the target value. A feedback control algorithm automatically adjusts the wave-generating signal, iterating multiple times until the error is within a preset tolerance range. This process significantly improves the accuracy of wave simulation, ensuring the accuracy and consistency of the wave environment during testing, thereby enhancing the reliability and engineering guidance value of the antifouling curtain hydrodynamic characteristic test results.

[0016] The present invention also has the following beneficial effects: Achieving systematic and multi-condition test coverage: This invention employs a systematic test sequence design, including combinations of sequences with fixed water depth and wave height variation periods, fixed water depth and periodically varying wave heights, and synchronously varying multiple elements, capable of covering a wide range of wave conditions from common to extreme. This method can not only systematically study the impact of single parameter variations on the performance of antifouling curtains, but also simulate complex wave environments under different water depth conditions, providing comprehensive and systematic test data support for the optimized design of antifouling curtains.

[0017] This invention also offers the following advantages: It closely approximates real-world engineering environments and supports wave-current coupling experiments: This invention not only supports independent experiments involving pure waves and pure currents, but also simulates complex environments with combined wave-current interactions. By employing a process of first stabilizing the current and then generating waves, wave parameters are iteratively corrected based on a stable flow field, realistically reproducing the complex dynamic conditions of wave-current coupling in the ocean. This experimental method more closely reflects actual sea conditions, enabling a more accurate assessment of the stress and motion response of antifouling curtains in real-world environments, providing a more scientific and conservative basis for anchoring system design, float selection, and counterweight calculation. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart of the wave simulation method for testing the antifouling curtain of the present invention. Figure 2This is a schematic diagram illustrating the iterative correction principle of wave elements in this invention; Figure 3 This is a schematic diagram of the maximum cable force data for different wave heights according to the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0021] Example 1: Verifying the safety of anti-fouling curtains under a 10-year design wave. .

[0022] refer to Figure 1-3 This embodiment aims to simulate severe wave conditions in a certain engineering sea area once every 10 years (prototype wave height H=2.31m, period T=6.3s, water depth D=15.0m) to verify the safety of the antifouling curtain structure under this sea condition and obtain key design parameters: S1. Model Preparation and Setup: 1. A prototype woven geotextile with a unit area mass of 400 g / m² was selected as the simulation object. 20D nylon twill fabric was chosen as the model curtain material. The geometric scale λ = 1:17.7 was calculated and determined based on the areal density ratio of the prototype and model materials. 2. Calculate the scale of other physical quantities according to the gravitational similarity criterion: velocity scale λ 1 / 2 =1:4.21, force ratio λ 3 =1:5545, time ratio λ 1 / 2 =1:4.21; 3. Construct a scaled-down model of the anti-fouling curtain based on the original scale: the curtain model's width (prototype 113.2m) and height (prototype 15.6m), and the floating body model's diameter (prototype 0.71m), using pearl cotton swabs for simulation. Anchoring cables are arranged at a 45° angle and spacing (prototype 14.15m). 4. Install the completed model in a two-dimensional wave tank that is 55m long and 2m wide, and make the curtain model horizontally fill the entire width of the tank to eliminate the flow around the flow and simulate the most unfavorable stress state.

[0023] S2. Measuring instrument settings: 1. A DS30 capacitive wave height meter (30cm range) is placed at a preset position on the central axis of the model area (corresponding to the middle of the prototype antifouling curtain). Its probe is fixed underwater and used to measure the wave surface process. 2. Along the length of the anti-fouling curtain model, select three representative anchoring points symmetrically on both sides, install a Beijing Institute of Water Resources and Hydropower Research 2008 tension gauge with a range of 0-25N (model value), and connect it to the synchronous acquisition system; 3. Set up a high-definition camera on the side of the model, aiming it at the floating part, to record the movement of the floating part and the submersion situation.

[0024] S3. Wave parameter input and initial wave generation: 1. Convert the wave elements of the prototype design (H=2.31m, T=6.3s, D=15.0m) to the target values ​​of the model according to the model scale: H=0.1305m≈13.1cm; T=1.50s; 2. Input the target wave height H=13.1cm and period T=1.50s of the model into the computer wave generation control system of the water tank; 3. The control system generates an initial regular wave generation signal based on the target parameters, drives the pusher-type wave generator to operate, and generates an initial wave sequence.

[0025] S4. Wave element iterative correction: 1. The wave height meter begins sampling (sampling frequency 666Hz), continuously acquiring wave surface data for at least 20 wave cycles; 2. Statistical analysis of the collected data yielded a measured average wave height H = 12.8 cm and a measured average period T = 1.46 s. 3. Comparing the measured values ​​with the target values: wave height error is approximately -2.3%, and period error is approximately -2.7%. Although the errors are within the common 5% tolerance, corrections were made to ensure high accuracy. 4. In the control software, the amplitude coefficient of the wave-generating signal is fine-tuned to 1.023 times its original value to increase the wave height; at the same time, the period-related parameters are fine-tuned. 5. Using the corrected signal, waves were generated again, and the wave height meter collected new data. The calculated values ​​were H=13.0cm and T=1.49s. 6. After this iteration, the error is less than 1%. Lock this set of wave generator control parameters as the standard for this operating condition. Final wave signal. S5. Stability Testing and Data Acquisition: 1. Using the final wave signal, the wave generator is started to produce stable waves. After the waves propagate to the model area and stabilize (approximately 30 wave cycles), the experiment officially begins. 2. Simultaneously activate the force gauge and video recording system to collect data for a duration corresponding to 3 minutes of prototype data (approximately 42.6 seconds for the model data); 3. Experimental results (converted back to prototype values)Under this working condition, when the maximum tensile force of a single anchor cable is 97.34 KN, the floating body experiences periodic submersion, with a maximum instantaneous submersion depth of approximately 1.0 m. Furthermore, in this embodiment, Anchoring system design Based on the measured maximum single cable force of 97.34KN and considering a certain safety factor, it is recommended that the minimum breaking strength of the anchoring cable in this project should not be less than 487KN. Floating body design The floating body was observed to be submerged in waves with a height of H=2.31m. To prevent submersion within the construction operation wave height (H=1.5m), the diameter of the floating body needs to be increased or the draft adjusted. Based on experimental data, it is recommended that the diameter of the floating body be no less than 0.8m and that it have sufficient reserve buoyancy. counterweight design Based on the bottom pull-up force measured in subsequent water flow tests, it was determined that the underwater weight of the curtain fabric per unit length must be greater than 30 kg / m to prevent the bottom of the curtain fabric from being lifted up and causing leakage of dirt.

[0026] Example 2: A series of experiments to study the effect of wave height variation on the performance of antifouling curtains reference Figure 1-3 , This embodiment demonstrates how to use the multi-sequence test method of the present invention to systematically study the influence of wave height increase on antifouling curtain force and buoy submersion at a fixed period and water depth, so as to optimize buoy design.

[0027] S1-S2: Similar to Example 1, the model preparation, arrangement, and measurement instrument setup were completed.

[0028] S3. Experimental Sequence Design and Wave Parameter Input: 1. choose second sequence The experiment was conducted with a fixed water depth and period, but varying wave height. The prototype water depth was fixed at D = 15.0 m, and the period was T = 7.1 s. 2. Design a set of increasing wave height conditions: H=0.71m, 1.22m, 1.59m, 2.21m, 2.97m; 3. A set of target wave height values ​​for the model were obtained by converting the model scale λ=1:17.7.

[0029] S4. Wave element iterative correction (performed in sequence): 1. Starting from the lowest wave height condition (H=0.71m), the converted model target value is input into the control system; 2. Perform the same iterative correction process as in Example 1 S4 to simulate the waves of this working condition with high precision and lock its final wave-generating signal; 3. After completing the test under this condition, input the target parameters for the next higher wave height into the control system, repeat the iterative correction process, and generate and lock the stable wave field for this condition. Repeat this cycle until the simulation and testing of all wave height conditions in this sequence are completed.

[0030] S5. Data Acquisition and Pattern Analysis: 1. Under each wave height condition, acquire images of cable tension and buoy submersion; 2. Analysis of Experimental Results By plotting the maximum cable force data at different wave heights into curves, the non-linear increasing trend of cable force with wave height can be clearly shown. At the same time, through image analysis, the wave height thresholds corresponding to the buoy's transition from "not submerged" to "critically submerged" and then to "significantly submerged" can be determined (for example, under the conditions of this embodiment, the buoy begins to be critically submerged when the wave height is about 1.5m).

[0031] Furthermore, in this embodiment, based on the cable force wave height curve, the predicted cable force values ​​under other wave heights can be extrapolated or interpolated, providing a more comprehensive load spectrum for anchorage design; the clearly defined float submersion threshold provides a quantitative basis for determining the marine environmental conditions of "ensuring normal operation" and "allowing structural safety submersion", guiding the management of construction window period and float selection.

[0032] Example 3: Safety Test of Anti-fouling Curtain under the Combined Effect of Waves and Currents reference Figure 1-3 , This embodiment demonstrates the application of the method of the present invention in a combined marine environment with the combined effects of waves and currents, to evaluate the safety of the antifouling curtain under more realistic sea conditions.

[0033] S1-S2: Same as Example 1. Note that in the two-dimensional water tank, the flow generation system needs to be set up and calibrated in advance to ensure that the model area produces a uniform and stable water flow.

[0034] S3. Determine the test conditions: 1. A typical wave-current interaction condition is selected: prototype flow velocity V = 0.39 m / s, wave velocity H = 1.59 m, T = 7.1 s, and wave and current in the same direction. Water depth D = 15.0 m; 2. Convert wave elements to model values ​​according to the scale. Flow velocity converted to model value: V = 0.093 m / s.

[0035] S4. Wave element iterative correction (performed under steady current background): 1. First, start the flow generation system. The model was adjusted to a target flow velocity V = 0.093 m / s and kept running stably. A flow meter was used to verify that the flow velocity in the model area reached the target value. 2. Based on a stable flow field Input the target wave parameters (H,T) of the model. 3. Perform the same iterative correction process as in Example 1, S4. Notice Due to the presence of background currents, the propagation characteristics of waves may vary slightly, making iterative correction processes crucial for ensuring the accuracy of wave data. 4. Through iteration, a method is obtained that can accurately generate the design wave under the current stable flow field. Final wave signal. S5. Wave-current coupling test and data acquisition: 1. Keep the current generation system running, start the wave generator with the final wave generation signal, and collect cable tension, flow velocity and wave data synchronously after the wave flow field stabilizes. 2. Experimental results (converted back to prototype values) Under the combined action of this wave and current, the maximum cable tension was measured to be 116.04 kN (greater than the value when only the wave or current acts alone), and the submersion depth of the buoy also increased.

[0036] Furthermore, in this embodiment, experimental data under the combined effects of pure wave, pure flow, and wave and flow are compared. It has been confirmed that wave-current coupling effect significantly increases cable load. (In this example, the wave-current co-directional force is greater than the linear superposition of the sum of the pure wave and the pure current); based on experimental measurements of the combined wave-current action. Maximum cable force The design of the anchoring system was carried out, and the load was more conservative and safer than that of the pure wave condition. The test verified that under the designed flow velocity and wave conditions, although the antifouling curtain structure may experience floating body submersion, the anchoring system is still within the safe range, providing data support for the development of emergency plans for extreme weather (such as allowing temporary submersion).

[0037] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A wave simulation method for testing anti-fouling curtains, characterized in that, Includes the following steps: S1. Model preparation and arrangement: Determine the geometric scale λ of the model according to the gravity similarity criterion, and make a scaled-down model of the antifouling curtain including the float, curtain and anchoring system according to the scale λ. Then, install the model at the preset position of the wave tank test section. S2. Measuring instrument setup: At least one wave height meter shall be set at the center point of the preset model area on the central axis of the anti-fouling curtain model; S3. Wave parameter input and initial wave generation: The prototype design wave elements for the target test conditions, which are converted according to the model scale λ, are input into the wave generation control system. The control system generates an initial wave generation signal to drive the wave generator to produce an initial wave sequence. S4. Wave Element Iterative Correction: The wave surface history data of the initial wave sequence are collected by the wave height meter, and the measured wave height and measured period are calculated. The measured wave height and measured period are compared with the target wave height and target period. The initial wave generation signal is corrected according to the comparison error, and the corrected wave generation signal is generated and the wave generator is driven to generate waves again. This process of collection, comparison and correction is repeated. After several iterations, the error between the measured wave elements and the target wave elements is within the preset tolerance range, and the final wave generation signal for this working condition is locked. S5. Stability Test and Data Acquisition: The final wave-generating signal is used to control the wave generator to produce a stable design wave environment. Under this environment, the hydrodynamic characteristics of the antifouling curtain are tested, and the anchor cable tension data, floating body motion image data, and wave data of the antifouling curtain model are collected simultaneously.

2. The wave simulation method for testing anti-fouling curtains according to claim 1, characterized in that, In step S3, the target test condition is based on a systematic test sequence design, the test sequence including: First sequence: Keep the target values ​​of simulated water depth and wave height unchanged, and change the target value of wave period sequentially according to the preset gradient; Second sequence: Keep the target values ​​of simulated water depth and wave period unchanged, and change the target value of wave height sequentially according to the preset gradient; The third sequence: synchronously change the target values ​​of simulated water depth, wave height, and wave period to simulate the combination of wave elements under different water depth conditions.

3. The wave simulation method for testing antifouling curtains according to claim 2, characterized in that, By executing the first, second, and third sequences, the simulated wave conditions cover a prototype wave height range of 0.71m to 3.54m, a prototype wave period range of 4.2s to 12.6s, and cover at least three different prototype water depth conditions.

4. The wave simulation method for testing anti-fouling curtains according to claim 1, characterized in that, In step S1, the determination of the model's geometric scale λ is specifically as follows: it is calculated based on the ratio of the unit area mass of the prototype antifouling curtain material to the unit area mass of the selected model's simulated curtain material; and it strictly follows the gravity similarity criterion, wherein the linear scale is λ and the velocity scale is λ. 1 / 2 The scale of the concentrated force is λ 3 The time scale is λ 1 / 2 .

5. The wave simulation method for testing anti-fouling curtains according to claim 1, characterized in that, In step S5, the hydrodynamic characteristic test of the antifouling curtain includes tests under three dynamic environments: Simple wave action test: The wave generator is activated only, and the test is conducted under the stable design wave obtained in step S4; Simple water flow effect test: The test is conducted under a stable and uniform flow field with only the flow generation system activated; Wave-current interaction test: First, start the flow generation system and wait for the flow field to stabilize, then start the wave generator to apply the design wave obtained in step S4, and conduct the test under a stable wave-current coupling field.

6. The wave simulation method for testing antifouling curtains according to claim 5, characterized in that, In step S5, when measuring the tension of the anchor cable, multiple tension sensors are symmetrically arranged on both sides along the length of the anti-fouling curtain model, and a synchronous acquisition system is used to record the time history data of all tension sensors during the test, which is used to analyze the spatial non-uniformity of the cable force distribution and determine the maximum single cable load.

7. The wave simulation method for testing antifouling curtains according to claim 1, characterized in that, The wave trough is a two-dimensional trough. In step S1, the curtain of the anti-fouling curtain model is horizontally spread across the entire width of the two-dimensional trough, so that the water flow and waves cannot flow around the sides of the model.

8. The wave simulation method for testing anti-fouling curtains according to claim 1, characterized in that, In step S4, the iterative correction process is implemented through an automatic feedback control algorithm. The algorithm uses the real-time measurement value of the wave height meter as a feedback signal, compares it continuously or discretely with the set target value, and automatically and in real time adjusts the driving voltage or displacement signal of the wave generator based on a predetermined control law.

9. The wave simulation method for testing anti-fouling curtains according to claim 1, characterized in that, The floating body motion image data collected in step S5 is used to determine the floating body's motion mode, heave amplitude, and instantaneous submersion depth relative to the still water surface through image analysis processing.

10. The wave simulation method for testing antifouling curtains according to claim 1, characterized in that, Based on the maximum cable tension data and critical submersion depth data of the float collected under different wave conditions in step S5, the key parameters required for the design of the antifouling curtain project are determined, including: the minimum breaking strength requirement of the anchor cable, the minimum diameter and reserve buoyancy required for the float to resist submersion, and the minimum unit length counterweight required to maintain the bottom seal of the curtain.

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