Wave dissipation submerged dike capable of preventing water from being attached to scyphistoms

Abstract

The invention belongs to the field of engineering application, and provides a water-proof scyphistoma adhesion-resistant wave-dissipating submerged dike which comprises a submerged dike adhesion-resistant optimization system, and the system comprises an adhesion extraction module which obtains the surface roughness, the effective adsorption area and the water flow speed through a contourgraph, a covering method and a buoy tracking method, constructs a model to calculate an initial adhesion value, and obtains the initial adhesion value; the correlation between the sub-parameters and the attachment density is analyzed when the risk is high; the structure optimization module determines an optimal inclination angle and a hollowing rate based on the negative correlation parameters, and calculates an attachment optimization value after adjustment to judge whether continuous optimization is needed or not; the coating laying module is used for identifying a high-adhesion-rate area according to the continuous optimization signal, determining an optimal coating laying area through an adhesion strength coefficient and verifying an effect; and the stability analysis module monitors for 30 days, calculates a structural stability coefficient and a final initial adhesion value, evaluates long-term stability through a comprehensive optimization value, and ensures that the submerged dike has wave dissipation and waterproof scyphistoma adhesion effects.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of engineering application, and particularly relates to a wave-dissipation submerged dike capable of preventing hydroid body from adhering. BACKGROUND

[0002] As the core structure of coastal protection engineering, the submerged dike effectively protects the coastline from erosion by reducing wave energy, slowing down the speed of alongshore current, and promoting sediment deposition.

[0003] However, its long-term immersion in the marine environment makes its surface become an attachment carrier of marine attached organisms such as hydroid bodies. After the hydroid larvae spread to the surface of the submerged dike through the water flow, they will complete the settlement by using the sticky substances secreted by the tentacles, and quickly reproduce to form a dense colony. This attachment behavior directly leads to two major problems: on the one hand, the hydroid colony will significantly change the surface morphology of the submerged dike, increase the surface roughness, destroy the original water flow field structure, and reduce the wave dissipation efficiency; on the other hand, the metabolic products of the hydroid will accelerate the corrosion of the concrete or metal substrate of the submerged dike, reduce the structural durability, and even cause local cracks or structural instability, which directly threatens the safety of coastal protection.

[0004] Therefore, the present application provides a wave-dissipation submerged dike capable of preventing hydroid body from adhering. SUMMARY

[0005] In order to make up for the deficiencies of the prior art and solve at least one technical problem raised in the background.

[0006] The technical scheme adopted by the present application to solve its technical problems is: A wave-dissipation submerged dike capable of preventing hydroid body from adhering, the wave-dissipation submerged dike comprising a submerged dike anti-attachment optimization system, the submerged dike anti-attachment optimization system comprising the following modules: An attachment extraction module: obtaining existing submerged dike basic structure parameters and hydrological parameters and quantifying the initial attachment value of the hydroid body, and if the initial attachment value is high risk, obtaining the existing submerged dike sub-parameters and the hydroid body attachment density respectively and performing correlation analysis; A structure optimization module: if the existing submerged dike sub-parameters of the hollow rate and the submerged dike inclination angle are negatively correlated with the hydroid body attachment density, the optimal inclination angle and the optimal hollow rate of the existing submerged dike structure are analyzed and the existing submerged dike is preliminarily adjusted; the attachment optimization value of the hydroid body attachment rate after the adjustment of the existing submerged dike is extracted, and whether a continuous optimization signal is triggered is judged according to the attachment optimization value; A coating arrangement module: if the continuous optimization signal is triggered, the high attachment rate area of the submerged dike is identified; the attachment strength coefficient is calculated based on the high attachment rate area to judge the optimal coating arrangement area, and the optimization effect on the hydroid body attachment density is verified; Stability analysis module: based on the optimization effect, the dynamic spectrum balance equation is established to verify the wave dissipation effect of the final optimized submerged dike; if the wave dissipation effect meets the expectation, the long-term stability of the final optimized submerged dike is evaluated to obtain the comprehensive optimization value of the final optimized submerged dike.

[0007] Further, the way of performing the initial attachment value of the quantified hydrozoan is: Obtain the surface roughness, effective adsorption area of the existing submerged dike and the flow velocity in the environment; Construct an initial attachment risk equation, input the surface roughness, effective adsorption area of the existing submerged dike and the flow velocity in the environment into the initial attachment risk equation to obtain the initial attachment value.

[0008] Further, the process of analyzing the optimal hollowing rate is: Take the existing submerged dike hollowing rate as a benchmark and set the adjustment range of the existing submerged dike hollowing rate; Within the hollowing rate adjustment range, set test points based on the hollowing rate, and measure the hydrozoan attachment density of each test point; According to the hydrozoan attachment density of different test points, draw a broken line graph of hollowing rate-attachment density with the submerged dike hollowing rate as the x-axis and the hydrozoan attachment density as the y-axis; Calculate the difference in hydrozoan attachment density between adjacent hollowing rates in the broken line graph. If the difference is less than q for the first time, the maximum hollowing rate of the two adjacent hollowing rates is the optimal hollowing rate; Wherein, q=5; Further, the way of quantifying the attachment optimization value of the adjusted submerged dike to the hydrozoan attachment rate is: Obtain the existing submerged dike and the adjusted submerged dike, set the same monitoring area and the same monitoring time, and measure the hydrozoan attachment density of each monitoring area; Optionally, compare the hydrozoan attachment density of the existing submerged dike and the adjusted submerged dike in a monitoring area; According to the comparison result, identify the optimization effective area in the monitoring area; Perform ratio processing on the optimization effective area to obtain the optimization efficiency, and perform deviation mean calculation on the optimization effective area to obtain the average optimization amplitude; Multiply the optimization efficiency and the average optimization amplitude to obtain the attachment optimization value.

[0009] Further, the way of performing the ratio processing is: If the hydrozoan attachment density of the adjusted submerged dike is less than that of the existing submerged dike, mark the monitoring area as an optimization effective area; If the hydrozoan attachment density of the adjusted submerged dike is greater than or equal to that of the existing submerged dike, mark the monitoring area as an optimization ineffective area; The number of the optimized effective areas is statistically optimized and compared with the total number of the monitoring areas to obtain an optimized effective rate.

[0010] Further, the deviation mean value is calculated in the following manner: The existing jetty polyp attachment density of all the optimized effective areas and the deviation value of the adjusted jetty polyp attachment density are obtained, the deviation value is compared with the existing jetty polyp attachment density to obtain an optimized amplitude by ratio processing. The optimized amplitudes of all the optimized effective areas are integrated and averaged to obtain an average optimized amplitude.

[0011] Further, the process of identifying the high-attachment-rate area of the adjusted jetty polyp is as follows: The polyp attachment density of each monitoring area of the adjusted jetty is obtained and averaged to obtain the average polyp attachment density of each monitoring area of the adjusted jetty. A baseline coefficient is obtained. The average attachment density is multiplied by the baseline coefficient to obtain a high-attachment baseline value. The polyp attachment density of each monitoring area is compared with the high-attachment baseline. If the polyp attachment density of the monitoring area is greater than the high-attachment baseline value, the monitoring area is marked as a high-attachment-rate area of the polyp.

[0012] Further, the process of judging the optimal arrangement area of the coating is as follows: The surface roughness of the high-attachment area of the adjusted jetty is obtained. The polyp attachment density of the high-attachment-rate area is multiplied by the surface roughness of the high-attachment-rate area to obtain an attachment strength coefficient. The attachment strength coefficients of all the high-attachment-rate areas are integrated and averaged to obtain an optimal arrangement threshold value. If the attachment strength coefficient of the high-attachment-rate area is greater than the optimal arrangement threshold value, the high-attachment-rate area is an optimal arrangement area.

[0013] Further, the manner of calculating the comprehensive optimization value of the final optimized jetty is as follows: A structural stability coefficient is obtained. The surface roughness of the final optimized jetty is obtained, the surface roughness, the effective adsorption area, and the flow velocity are input into an initial attachment risk equation to calculate an initial attachment value of the final optimized jetty. The initial attachment value of the existing jetty is subtracted from the initial attachment value of the final optimized jetty, and the difference is compared with the initial attachment value of the existing jetty to obtain an initial attachment optimization ratio. The initial attachment optimization ratio is multiplied by the structural stability coefficient to obtain a comprehensive optimization value.

[0014] Further, the way of obtaining the structure stability coefficient is: Obtaining the density and effective adsorption area of the final optimized submerged dike, and calculating the average water flow velocity of the final optimized submerged dike in the monitoring period; By establishing a structure stability equation, inputting the density and effective adsorption area of the final optimized submerged dike, and the average water flow velocity of the final optimized submerged dike in the environment into the structure stability equation, the structure stability coefficient is obtained.

[0015] The beneficial effects of the present application are as follows: Obtaining existing submerged dike foundation structure parameters and hydrological parameters and quantifying the initial attachment value of the hydra, if the initial attachment value is high risk, obtaining the existing submerged dike sub-parameters and the hydra attachment density respectively and performing correlation analysis; positioning the key sub-parameters in the submerged dike that cause high attachment risk of the hydra, providing data support for the prevention and control of hydra attachment and structure optimization of the submerged dike; if the existing submerged dike sub-parameters, the hollow rate and the inclination of the submerged dike, are negatively correlated with the hydra attachment density, then the optimal inclination and the optimal hollow rate of the existing submerged dike structure are analyzed and the existing submerged dike is preliminarily adjusted; the attachment optimization value of the hydra attachment rate of the existing submerged dike after adjustment is extracted, and whether the continuous optimization signal is triggered is judged according to the attachment optimization value; the optimal inclination and the optimal hollow rate of the submerged dike can be determined according to the negative correlation to complete the preliminary structure adjustment, and whether the continuous optimization is triggered can also be determined through the attachment optimization value, thereby efficiently promoting the prevention and control of hydra attachment of the submerged dike; If the continuous optimization signal is triggered, the high hydra attachment rate area of the submerged dike is identified; based on the high hydra attachment rate area, the attachment intensity coefficient is calculated to determine the optimal layout area of the paint, and the optimization effect on the hydra attachment density is verified; the high hydra attachment area of the submerged dike is identified, the optimal layout area of the paint is determined according to the attachment intensity coefficient, and the optimization effect is verified, thereby greatly improving the accuracy and effectiveness of the prevention and control of hydra attachment of the submerged dike; based on the optimization effect, a dynamic spectrum balance equation is established to verify the wave dissipation effect of the final optimized submerged dike; if the wave dissipation effect meets the expectation, the long-term stability of the final optimized submerged dike is evaluated, and the comprehensive optimization value of the final optimized submerged dike is obtained; the wave dissipation effect can be verified by the dynamic spectrum balance equation, and then the comprehensive optimization value is obtained through long-term stability evaluation, thereby taking into account the prevention and control of hydra attachment and the wave dissipation and stability core functions of the submerged dike, and ensuring that the performance of the final optimization scheme meets the overall standard. BRIEF DESCRIPTION OF DRAWINGS

[0016] The present application will be further described below with reference to the accompanying drawings.

[0017] Figure 1 is a module diagram of a wave dissipation submerged dike for preventing hydra attachment according to an embodiment of the present application; Figure 2 is a flowchart for judging a wave dissipation submerged dike for preventing hydra attachment according to an embodiment of the present application; Figure 3is a wave height graph behind the submerged dike deployed by the present application. Figure 4 is a wave height graph behind the submerged dike deployed by the present application. DETAILED DESCRIPTION

[0018] In order to make the technical means, creative features, purposes and effects of the present application easy to understand, the present application will be further described below in conjunction with specific embodiments.

[0019] Embodiment 1: Please refer to Figure 1 As shown in the figure, the present application is a wave-eliminating submerged dike for preventing hydroid attachment, which comprises a submerged dike anti-attachment optimization system, and the submerged dike anti-attachment optimization system comprises the following modules: An attachment extraction module: obtaining existing submerged dike basic structure parameters and hydrological parameters and quantifying the initial attachment value of hydroids, and if the initial attachment value is high risk, then the correlation between the existing submerged dike sub-parameters and the hydroid attachment density is analyzed respectively; The process of obtaining existing submerged dike basic structure parameters and hydrological parameters and quantifying the initial attachment value of hydroids is as follows: It should be noted that the submerged dike is a typical coastal protection structure, and the basic structure parameters of the submerged dike include but are not limited to surface roughness and effective adsorption area; The attachment behavior of hydroids is affected by environmental factors, and the hydrological parameters include flow velocity; The process of obtaining the surface roughness and effective adsorption area of the submerged dike and the flow velocity of the environment in which the submerged dike is located is as follows: Surface roughness: Use a profilometer (needle diameter 0.1mm, scale accuracy 0.01mm) to scan along the horizontal and vertical directions of the submerged dike for 5 times respectively, record the up and down fluctuation values of the stylus, and take the arithmetic mean of all values as the surface roughness Ra of the submerged dike; Effective adsorption area: Use the covering method to obtain the effective adsorption area of the existing submerged dike, uniformly cover a layer of film (such as paint, wax or metal plating) with known thickness and density on the surface of the submerged dike, record the mass of the submerged dike without covering the film and the mass of the submerged dike covering the film, and difference process the mass of the film before and after the submerged dike to obtain the mass of the film; Make the thickness of the known film and the density of the film into a product, and make the mass of the film and the product value into a ratio to obtain the surface area of the film, that is, the surface area of the submerged dike, which is the effective adsorption area S; Flow velocity: Record the moving distance of the buoy position within 30 minutes by the buoy tracking method, and make the moving distance of the buoy and the 30-minute ratio value to obtain the flow velocity V; An initial attachment risk model is constructed by inputting the surface roughness of the submerged dike, the effective adsorption area, and the water flow velocity in the environment where the submerged dike is located into the initial attachment risk model, and the initial attachment value is output. Preferably, the initial adhesion risk equation is used: Construct an initial adhesion risk model to obtain the initial adhesion value R0; The initial adhesion value of the submerged dike can be obtained by inputting the surface roughness, effective adsorption area, and water flow velocity in the environment in which the submerged dike is located into the initial adhesion risk model. The initial adhesion value is compared with a preset initial adhesion threshold; If the initial attachment value is less than or equal to the preset initial attachment threshold, it indicates that the initial attachment value is low risk and the estimated hydroids attached to the submerged dike are within the normal range. If the initial attachment value is greater than the preset initial attachment threshold, it indicates that the initial attachment value is high risk and it is estimated that the hydroids attached to the submerged dike will exceed the normal range. It should be noted that the physical meaning of the initial attachment value is as follows: the initial attachment value is a core indicator reflecting the inherent risk level of polyp attachment behavior on the surface of the submerged dike; the initial attachment value is calculated through the surface roughness of the submerged dike, the effective adsorption area, and the water flow velocity; a higher surface roughness of the submerged dike means more polyp attachment points, the effective adsorption area reflects the potential area available for polyp attachment, and the water flow velocity reflects the effect on the stability of polyp implantation, with higher flow velocities potentially inhibiting attachment; the specific initial attachment value reflects the comprehensive risk of polyp attachment on the surface of the submerged dike. It should also be noted that the purpose of obtaining the initial attachment value is: Function 1: Obtaining initial adhesion values ​​provides an initial risk benchmark for submerged dike protection projects, helping engineers quickly identify submerged dike areas or structural parameter defects with high adhesion risks; Secondly, as a reference value for long-term monitoring, it can assess the impact of hydrological environmental changes or protective measures on the risk of hydroid attachment, and realize dynamic tracking and management of risks. If the initial attachment value is high-risk, the process of conducting correlation analysis between the existing subsurface sub-dike parameters and the hydroid attachment density is as follows: Monitoring areas were set up in different areas of the existing submerged dike to monitor the number of attached hydras. The density of hydroid attachment in the monitoring area is obtained by calculating the ratio of the number of attached hydroids to the area of ​​the monitoring area. The density of attached hydra in the monitoring area is recorded as the vertical axis, and the sub-parameters of the existing submerged dike are obtained as the horizontal axis to draw a scatter plot of different sub-parameters of the existing submerged dike and the density of attached hydra. Among them, the submerged dike parameters are surface roughness, water flow velocity, submerged dike inclination angle, and perforation rate; The autocorrelation coefficients between each sub-dike parameter and the hydroid attachment density were calculated using the least squares method. Determine whether the autocorrelation coefficient between each sub-dike sub-parameter and the hydroid attachment density is less than 0; if it is less than 0, it indicates that the sub-dike sub-parameter and the hydroid attachment density are negatively correlated. Among them, the submerged dike inclination angle and the porosity are negatively correlated with the hydroid attachment density; Structural optimization module: If the existing submerged dike sub-parameters, such as the void ratio and dike inclination angle, are negatively correlated with the hydroid attachment density, then the optimal inclination angle and optimal void ratio of the existing submerged dike structure are analyzed and the existing submerged dike is initially structurally adjusted; the attachment optimization value of the hydroid attachment rate after the adjustment of the existing submerged dike is extracted, and the continuous optimization signal is determined based on the attachment optimization value. If the existing submerged dike sub-parameters, such as the porosity and dike inclination angle, are negatively correlated with the hydroid attachment density, then the process of analyzing the optimal inclination angle and optimal porosity of the existing submerged dike structure and making preliminary structural adjustments to the existing submerged dike is as follows: The process of determining the optimal tilt angle: A bar chart of hydroid attachment density at different dip angles of the submerged dike is formed, with the x-axis representing different dip angles of the submerged dike and the y-axis representing different hydroid attachment densities. The adhesion density of hydroids on the upstream and downstream sides of the submerged dike placed at 45℃ was the lowest, both being 0.67 ind / cm2; The attachment density of hydroids on the upper side of the horizontally placed submerged dike was 1.00 ind / cm2, and the attachment density on the lower side was 1.33 ind / cm2. The attachment density of hydroids on the back side of the vertically placed submerged dike is 1.3 ind / cm2, and the attachment density on the front side is 3.00 ind / cm2, with the highest attachment density on the front side. By comparing the hydroid attachment density at different inclination angles, it was determined that the submerged dike has the optimal inclination angle at 45°. The process of determining the optimal perforation ratio: Based on the existing submerged breakwater permeability P0, the adjustment range for the existing submerged breakwater permeability is set to P0±20%; Understandably, the advantage of setting the adjustment range of the submerged breakwater perforation rate to P0±20% is that it prevents the submerged breakwater from weakening its protective function and affecting its wave resistance stability due to excessive perforation rate, while providing sufficient parameter adjustment space to suppress the attachment of hydroids, and taking into account both engineering practicality and the need for hydroid attachment optimization. Within the range of perforation rate adjustment, a test point is set every 5% perforation rate to measure the hydroid attachment density at each test point; Based on the hydroid attachment density at different test points, a line graph of the perforation rate versus attachment density was plotted with the perforation rate of the submerged dike as the x-axis and the hydroid attachment density as the y-axis. Calculate the difference in hydroid attachment density between adjacent perforation rates in the line graph. If the difference is less than q for the first time, then the perforation rate with the largest perforation rate among the two adjacent perforation rates is the optimal perforation rate. Preferably, q=5; It should be noted that if the difference is less than q for the first time, the largest of the two adjacent perforation rates is the optimal perforation rate. This is because q is equivalent to the limit of the effect improvement. When the difference is q, the effect of the perforation rate on the attachment of the hydroid reaches its limit. If the perforation rate is further increased, it will weaken the wave resistance stability and structural strength of the submerged breakwater. Based on the obtained optimal inclination angle and optimal perforation rate of the submerged breakwater, preliminary adjustments are made to the existing submerged breakwater structure. Preferably, the preliminary adjustment method is as follows: the inclination angle of the submerged dike is adjusted to 45° by mechanical cutting or raising the piers, and the perforation rate of the submerged dike is corrected to the optimal perforation rate by adding permeable holes or expanding the existing pore area. The adjusted submerged dike is marked as the adjusted submerged dike. The process of extracting the optimized attachment rate of hydroids after the existing submerged dike adjustment, and determining whether to trigger a continuous optimization signal based on the optimized attachment rate, is as follows: For both existing and adjusted submerged dikes, set up the same monitoring area and the same monitoring duration, and measure the hydroid attachment density in each monitoring area; Record the hydroid attachment density in each monitoring area of ​​the existing submerged dike and adjust the hydroid attachment density in each monitoring area of ​​the submerged dike; Choose any monitoring area and compare the polyp attachment density between the existing submerged dike and the adjusted submerged dike; If the hydroid attachment density of the adjusted submerged dike is less than that of the existing submerged dike, it indicates that the hydroid attachment rate in the monitoring area has decreased after the dike structure is adjusted. In this case, the monitoring area is marked as an optimized effective area. If the hydroid attachment density of the submerged dike is greater than or equal to the existing hydroid attachment density of the submerged dike, it indicates that the hydroid attachment rate in the monitoring area has increased or remained unchanged after the adjustment of the submerged dike structure. In this case, the monitoring area is marked as an invalid optimization area. The optimization effectiveness rate is obtained by comparing the number of effective areas to the total number of monitored areas. Obtain the existing submerged dike polyp attachment density and the deviation value of adjusting the submerged dike polyp attachment density in all effective optimization areas. Ratio the deviation value with the existing submerged dike polyp attachment density to obtain the optimization range. The average optimization magnitude is obtained by averaging the optimization magnitudes of all effective optimization regions. The attachment optimization value is obtained by multiplying the optimization efficiency by the average optimization magnitude. Compare the adhesion optimization value with the preset adhesion optimization range; If the attachment optimization value is higher than the maximum value of the preset attachment optimization range, it means that the attachment rate of the hydroids in the submerged dike has been significantly improved, achieving the expected goal. If the attachment optimization value is lower than the minimum value of the preset attachment optimization range or is within the preset attachment optimization range, it means that adjusting the attachment rate of the hydroids in the submerged dike has no effect or the optimization is not obvious, triggering a continuous optimization signal for further optimization. It should be noted that the purpose of obtaining the attachment optimization value is as follows: the attachment optimization value can intuitively reflect the improvement result of adjusting the submerged dike structure on the attachment rate of hydroids; by decomposing it into optimization effectiveness and average optimization range, the monitoring areas that have not met the standards can be accurately located, providing guidance for subsequent targeted adjustments; and it can provide data support for the iterative optimization and risk management of submerged dike protection projects, thereby improving the scientific nature and efficiency of engineering decisions. The technical solution of this embodiment is as follows: Obtain the existing submerged dike foundation structural parameters and hydrological parameters, and quantify the initial attachment value of hydroids. If the initial attachment value is high-risk, obtain the existing submerged dike sub-parameters and hydroid attachment density respectively, and perform correlation analysis; locate the key sub-parameters in the submerged dike that lead to high hydroid attachment risk, providing data support for submerged dike hydroid attachment control and structural optimization; if the existing submerged dike sub-parameters, including the void ratio and dike inclination angle, are negatively correlated with hydroid attachment density, analyze the optimal inclination angle and optimal void ratio of the existing submerged dike structure and perform preliminary structural adjustments; extract the attachment optimization value of the hydroid attachment rate after the adjustment of the existing submerged dike, and determine whether a continuous optimization signal is triggered based on the attachment optimization value; the optimal inclination angle and void ratio of the submerged dike can be determined based on the negative correlation relationship to complete the preliminary structural adjustment, and the attachment optimization value can also clarify whether continuous optimization is triggered, efficiently promoting submerged dike hydroid attachment control.

[0020] Example 2: Please refer to Figure 1 and Figure 3 As shown, the present invention is a wave-dissipating submerged breakwater for preventing polyp attachment. The wave-dissipating submerged breakwater includes a breakwater anti-attachment optimization system, which includes the following modules: Paint application module: If a continuous optimization signal is triggered, the module identifies and adjusts the high adhesion rate area of ​​the submerged dike hydra; based on the high adhesion rate area, the module calculates the adhesion strength coefficient to determine the optimal paint application area and verifies whether there is an optimization effect on the adhesion density of the hydra. If a continuous optimization signal is triggered, the process of identifying and adjusting the high attachment rate area of ​​the submerged dike hydroid is as follows: After triggering the continuous optimization signal, extract and adjust the hydroid attachment density data of each monitoring area of ​​the submerged dike, and record the area corresponding to each monitoring area; The hydroid attachment density in each monitoring area of ​​the submerged dike was averaged to obtain the average hydroid attachment density in each monitoring area of ​​the submerged dike. The high-adhesion baseline value is obtained by multiplying the average adhesion density with the baseline coefficient M. Preferably, M is 1.5; The hydroid attachment density in each monitoring area was compared with the high attachment baseline. If the hydroid attachment density in the monitoring area is greater than the high attachment baseline value, then the monitoring area is marked as a high hydroid attachment rate area. If the hydroid attachment density in the monitoring area is less than or equal to the high attachment baseline value, then the monitoring area is a low hydroid attachment rate area. Among them, the optimal coating application area was determined by calculating the adhesion strength coefficient based on the high adhesion rate area, and the optimization effect on the adhesion rate of the hydroid was verified. Use a profilometer to scan and adjust the high adhesion rate area of ​​the submerged dike to obtain the surface roughness of the high adhesion rate area. The adhesion strength coefficient is obtained by multiplying the hydroid adhesion density in the high adhesion region with the surface roughness of the high adhesion region. It should be noted that the physical meaning of the adhesion strength coefficient is as follows: the adhesion strength coefficient is calculated from the adhesion density and surface roughness; the adhesion density is the number of polyps attached per unit area, which directly reflects the scale of polyp aggregation in the area; the surface roughness reflects the degree of unevenness of the submerged dike surface, and a rough surface can provide more physical points for mechanical anchoring of polyps; a specific adhesion strength coefficient indicates that the area not only has a large number of polyps, but also has more stable adhesion due to the rough surface, and is therefore called the area that needs to be given priority in submerged dike protection. The optimal deployment threshold is obtained by averaging the adhesion strength coefficients of all high adhesion rate areas. Compare the adhesion strength coefficient of all high adhesion rate areas with the optimal deployment threshold; If the adhesion strength coefficient of the high adhesion rate area is greater than the optimal deployment threshold, then the high adhesion rate area is the optimal deployment area. If the adhesion strength coefficient of a high adhesion rate area is less than or equal to the optimal deployment threshold, then the high adhesion rate area is a conventional control area. The final optimized submerged dike is obtained by external spraying of paint based on the optimal layout area; Preferably, the coating is a polyethylene coating; The adhesion density of hydroids in the optimal deployment area after coating is monitored and obtained. Based on the adhesion density of hydroids before and after coating, the decrease rate of adhesion density of hydroids after coating is calculated. If the decrease rate is positive, it means that the coating effectively reduces the adhesion density of the polyps, indicating that the coating has an optimizing effect on the adhesion of the polyps; if the decrease rate is negative, it means that the sprayed coating is ineffective. Stability Analysis Module: Based on the optimization effect, a dynamic spectrum equilibrium equation is established to verify the wave dissipation effect of the final optimized submerged breakwater; if the wave dissipation effect meets expectations, optimization analysis is performed to calculate the comprehensive optimization value of the final optimized submerged breakwater and evaluate the long-term stability of the final optimized submerged breakwater. The process of establishing a dynamic spectrum equilibrium equation to verify the wave-dissipating effect of the final optimized submerged breakwater, based on the optimization results, is as follows: Numerical simulations of the wave dissipation effect of the final optimized submerged dike were conducted to determine the changes in the wave dissipation effect of the final optimized submerged dike. The process of conducting numerical simulation of wave dissipation through a submerged breakwater is as follows: The wave numerical simulation adopts the dynamic spectrum equilibrium equation of the third-generation wave numerical model SWAN. ; Where N = E / σ is the dynamic spectral density, E is the energy spectral density, and σ is the relative frequency. , , and Represent , σ and Wave propagation speed in space It is a source and sink item. The first-order partial derivative with respect to time t, The first-order partial derivative with respect to the physical coordinate x, For N, advection transport in the y direction, The first-order partial derivative with respect to frequency. Regarding the direction of the waves The first-order partial derivative; The simulation calculation conditions were used to deploy the final optimized submerged breakwater and conduct wave dissipation experiments. Wave data before and after the deployment of the submerged breakwater were collected and compared for analysis. The changes in the dynamic spectral density N, which is the wave energy density, as calculated from the results, indirectly reflect the changes in wave height. Specifically, for example... Figure 3 , Figure 4 As shown, the left side is before the submersible dike is deployed, and the right side is after the submersible dike is deployed; Before the deployment of the submerged breakwater, under the influence of large waves, the waves gradually weakened from the open sea to the shore, and the trend of change was relatively gentle. After the deployment of the submerged breakwater, the waves broke up near the breakwater, the wave height changed drastically, and the wave weakened significantly. The results show that the submerged breakwater has a good wave dissipation capacity. The process of optimizing the submerged breakwater, calculating its comprehensive optimization value, and assessing its long-term stability if the wave-dissipation effect meets expectations, is as follows: The optimized submersible dike will be put into use and monitored every 30 days. Obtain the final optimized density of the submerged dike and the average water flow velocity V in the environment where the submerged dike is located during the monitoring period. 终 The effective adsorption area S of the final optimized submerged dike was calculated using the coverage method. 终 ; Through structural stability equations: The structural stability coefficient is calculated. Where g is the gravitational acceleration and KL is the structural stability coefficient; It should be noted that the physical meaning of the structural stability coefficient is as follows: The structural stability coefficient is a core indicator for quantifying the ability of a submerged dike to resist instability under the action of external forces such as water flow and waves. Essentially, it is the ratio of the submerged dike's "self-stability potential" to its "water flow impact destructive force". In its formula, the numerator reflects the component of its own weight along the vertical dike surface, embodying the structure's active stability potential; the denominator represents the water flow impact force, reflecting the passive failure inducement. The larger the value, the stronger the submerged dike's ability to resist scouring and deformation, and the better its stability, providing a quantitative basis for engineering reinforcement or structural adjustment. The surface roughness of the final optimized submerged dike is obtained. The surface roughness, effective adsorption area and water flow velocity are input into the initial adhesion risk equation to calculate the initial adhesion value R1 of the final optimized submerged dike. The initial attachment value R0 of the existing submerged dike and the initial attachment value R1 of the final optimized submerged dike are processed by difference, and then the ratio is calculated with the initial attachment value R0 of the existing submerged dike to obtain the initial attachment optimization ratio. The product of the initial attachment optimization ratio and the structural stability coefficient is used to obtain the comprehensive optimization value. The overall optimization value is compared with the preset overall optimization threshold; If the overall optimization value is less than the overall optimization threshold, it means that the final optimized embankment needs to readjust the structural parameters or the paint spraying area. If the comprehensive optimization value is greater than or equal to the comprehensive optimization threshold, it means that the final optimized submerged dike meets the requirements for wave dissipation and good waterproof polyp adhesion, and its long-term stability meets expectations, and it can be put into use. The technical solution of this embodiment is as follows: If a continuous optimization signal is triggered, the high adhesion rate area of ​​the submerged dike hydra is identified and adjusted; based on the high adhesion rate area, the adhesion strength coefficient is calculated to determine the optimal coating deployment area, and the optimization effect on the hydra adhesion density is verified; the high adhesion area of ​​the submerged dike hydra, the optimal coating deployment area is determined according to the adhesion strength coefficient, and the optimization effect is verified, which greatly improves the accuracy and effectiveness of submerged dike hydra adhesion control; based on the optimization effect, a dynamic spectrum balance equation is established to verify the wave dissipation effect of the final optimized submerged dike; if the wave dissipation effect meets expectations, a long-term stability assessment is conducted on the final optimized submerged dike to obtain the comprehensive optimization value of the final optimized submerged dike; the wave dissipation effect can be verified by the dynamic spectrum balance equation, and the comprehensive optimization value can be obtained through long-term stability assessment, taking into account both hydra adhesion control and submerged dike wave dissipation and stability core functions, ensuring that the performance of the final optimization scheme fully meets the standards.

[0021] 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 illustrative of the 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 present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A wave-dissipating submersible breakwater with waterproof polyp attachment, characterized in that: The wave-dissipating submersible breakwater includes a breakwater anti-attachment optimization system, which comprises the following modules: Attachment extraction module: Obtain existing submerged dike foundation structural parameters and hydrological parameters, and quantify the initial attachment value of hydroids. If the initial attachment value is high risk, obtain the existing submerged dike sub-parameters and hydroid attachment density respectively, and perform correlation analysis. Structural optimization module: If the existing submerged dike sub-parameters, such as the void ratio and dike inclination angle, are negatively correlated with the hydroid attachment density, then the optimal inclination angle and optimal void ratio of the existing submerged dike structure are analyzed and the existing submerged dike is initially structurally adjusted; the attachment optimization value of the hydroid attachment rate after the adjustment of the existing submerged dike is extracted, and the continuous optimization signal is determined based on the attachment optimization value. Coating application module: If a continuous optimization signal is triggered, the module identifies and adjusts the high adhesion rate area of ​​the submerged dike hydra; based on the high adhesion rate area, the module calculates the adhesion strength coefficient to determine the optimal coating application area and verifies the optimization effect on the adhesion density of the hydra. Stability analysis module: Based on the optimization effect, a dynamic spectrum equilibrium equation is established to verify the wave dissipation effect of the final optimized submerged dike; if the wave dissipation effect meets expectations, a long-term stability assessment of the final optimized submerged dike is conducted to obtain the comprehensive optimization value of the final optimized submerged dike.

2. The wave-dissipating submersible breakwater with waterproof polyp attachment according to claim 1, characterized in that: The method for quantifying the initial attachment value of the hydroid is as follows: Obtain the surface roughness, effective adsorption area, and water flow velocity of the existing submerged dike in its environment; An initial attachment risk equation is constructed by inputting the surface roughness of the existing submerged dike, the effective adsorption area, and the water flow velocity in the environment into the initial attachment risk equation to calculate the initial attachment value.

3. The wave-dissipating submersible breakwater with waterproof polyp attachment according to claim 1, characterized in that: The process of performing the analysis to achieve the optimal perforation rate is as follows: Based on the existing submerged breakwater perforation rate, set the adjustment range for the existing submerged breakwater perforation rate; Within the range of perforation rate adjustment, test points are set based on the perforation rate, and the hydroid attachment density at each test point is measured. Based on the hydroid attachment density at different test points, a line graph of the perforation rate versus attachment density was plotted with the perforation rate of the submerged dike as the x-axis and the hydroid attachment density as the y-axis. Calculate the difference in hydroid attachment density between adjacent perforation rates in the line graph. If the difference is less than q for the first time, then the perforation rate with the largest perforation rate among the two adjacent perforation rates is the optimal perforation rate. Where q=5.

4. The wave-dissipating submersible breakwater with waterproof polyp attachment according to claim 1, characterized in that: The method for quantitatively adjusting the attachment optimization value of the submerged dike to the hydroid is as follows: Acquire existing and adjusted submerged dikes, set up the same monitoring area and the same monitoring duration, and measure the hydroid attachment density in each monitoring area; Choose any monitoring area and compare the polyp attachment density between the existing submerged dike and the adjusted submerged dike; Based on the comparison results, identify the effective optimization areas within the monitoring area; The optimization efficiency is obtained by performing ratio processing on the effective optimization region, and the average optimization magnitude is obtained by calculating the mean deviation of the effective optimization region. The attachment optimization value is obtained by multiplying the optimization efficiency and the average optimization magnitude.

5. A wave-dissipating submersible breakwater with waterproof polyp attachment according to claim 4, characterized in that: The ratio processing is performed as follows: If the hydroid attachment density of the submerged dike is adjusted to be less than that of the existing submerged dike, the monitoring area will be marked as the optimized effective area. If the hydroid attachment density of the submerged dike is greater than or equal to the existing hydroid attachment density of the submerged dike, the monitoring area will be marked as an invalid optimization area. The optimization efficiency is obtained by comparing the number of effective areas with the total number of monitored areas.

6. A wave-dissipating submersible breakwater with waterproof polyp attachment according to claim 4, characterized in that: The method for calculating the mean deviation is as follows: Obtain the existing submerged dike polyp attachment density and the deviation value of the adjusted submerged dike polyp attachment density in all effective optimization areas. Ratio the deviation value with the existing submerged dike polyp attachment density to obtain the optimization range. The average optimization magnitude is obtained by averaging the optimization magnitudes of all effective regions.

7. The wave-dissipating submersible breakwater with waterproof polyp attachment according to claim 1, characterized in that: The process of identifying and adjusting the high adhesion rate area of ​​the submerged dike hydroid is as follows: The hydroid attachment density in each monitoring area of ​​the adjusted submerged dike was obtained and averaged to obtain the average hydroid attachment density in each monitoring area of ​​the adjusted submerged dike. Obtain baseline coefficients; The high-adhesion baseline value is obtained by multiplying the average adhesion density with the baseline coefficient. The hydroid attachment density in each monitoring area was compared with the high attachment baseline. If the hydroid attachment density in the monitoring area is greater than the high attachment baseline value, then the monitoring area is marked as a high hydroid attachment area.

8. The wave-dissipating submersible breakwater with waterproof polyp attachment according to claim 1, characterized in that: The process of determining the optimal coating application area is as follows: Obtain the surface roughness of the high-adhesion area of ​​the adjustable submerged embankment; The adhesion strength coefficient is obtained by multiplying the hydroid adhesion density in the high adhesion region with the surface roughness of the high adhesion region. The optimal deployment threshold is obtained by averaging the adhesion strength coefficients of all high adhesion rate areas. If the adhesion strength coefficient of a high adhesion rate area is greater than the optimal deployment threshold, then the high adhesion rate area is the optimal deployment area.

9. A wave-dissipating submersible breakwater with waterproof polyp attachment according to claim 1, characterized in that: The method for calculating the final optimized value of the submersible is as follows: Obtain the structural stability coefficient; The surface roughness of the final optimized submerged dike is obtained. The surface roughness, effective adsorption area, and water flow velocity are input into the initial adhesion risk equation to calculate the initial adhesion value of the final optimized submerged dike. The initial attachment ratio is calculated by taking the difference between the initial attachment value of the existing submerged dike and the initial attachment value of the final optimized submerged dike, and then comparing this difference with the initial attachment value of the existing submerged dike. The product of the initial attachment optimization ratio and the structural stability coefficient is used to obtain the comprehensive optimization value.

10. A wave-dissipating submersible breakwater with waterproof polyp attachment according to claim 9, characterized in that: The method for obtaining the structural stability coefficient is as follows: Obtain the density and effective adsorption area of ​​the final optimized submerged dike, and calculate the average water flow velocity in the environment where the final optimized submerged dike is located during the monitoring period; By establishing a structural stability equation, the density and effective adsorption area of ​​the final optimized submerged dike, as well as the average water flow velocity in the environment where the final optimized submerged dike is located, are input into the structural stability equation to obtain the structural stability coefficient.

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