A morphological design method for offshore islands based on optimization of erosion and silt resistance

Abstract

The present invention relates to the field of offshore island group design and discloses a method for offshore island group morphology design based on optimization of anti-scouring and silting resilience, comprising the following steps: measuring state data of the sea area where the target offshore island group is located, and constructing a mathematical model of sea area hydrodynamics and sediment transport based on the measured results. The island state and island group construction plan of the target offshore island group are determined using the mathematical model of sea area hydrodynamics and sediment transport, and finally, the anti-scouring resilience of the target offshore island group is optimized. The present invention can achieve the purpose of optimizing the anti-scouring and silting resilience of offshore island groups by in-depth research on the interaction mechanism between ocean dynamic processes and island group morphology, combined with advanced numerical simulation and experimental verification techniques.

Description

Technical Field

[0001] The present invention relates to the field of offshore island group design, and in particular to a method for offshore island group morphology design based on optimization of anti-scouring and silting toughness. Background Art

[0002] With the growing global demand for the development and utilization of marine resources, the construction of offshore islands, as an important marine engineering means, has shown great potential in the fields of port construction, marine energy development, ecological protection, and tourism and leisure. However, offshore islands have long been eroded by the complex marine dynamic environment, especially the strong wave impact and siltation problems, which seriously threaten their structural safety and functional stability. Traditional design methods often find it difficult to fully consider the dynamic interaction between the island morphology and the marine environment, resulting in the project being easily damaged and the maintenance cost being high. Therefore, there is an urgent need for an innovative offshore island morphology design method to optimize the island's anti-scouring and silting resilience and improve its survivability and long-term benefits in extreme marine environments. The present invention aims to propose an offshore island morphology design method based on anti-scouring and silting resilience optimization through in-depth research on the interaction mechanism between marine dynamic processes and island morphology, combined with advanced numerical simulation and experimental verification technology, to provide an efficient, economical and sustainable solution for the field of marine engineering. Summary of the Invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a method for designing the morphology of offshore islands based on optimization of anti-scouring and silting toughness.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is:

[0005] A first aspect of the present invention provides a method for designing offshore island morphology based on optimization of anti-scouring and silting toughness, comprising the following steps:

[0006] Collect measured state data of the sea area where the offshore islands are located, perform feature analysis on the measured state data of the sea area where the offshore islands are located, and construct a sea area hydrodynamic-sediment transport mathematical model based on the feature analysis results, and calibrate it as the target mathematical model;

[0007] The target mathematical model is used to simulate the impact of different island states on the measured state data of the target sea area, and the target island state is determined based on the impact results;

[0008] Conducting real-time simulation of beach erosion and siltation of target offshore islands under target island status within a target mathematical model, and generating an optimal island group construction plan for the target offshore islands based on the results of the real-time simulation of beach erosion and siltation;

[0009] The optimal island construction plan of the target offshore island group is applied in the target mathematical model, and the anti-impact toughness of the target offshore island group is optimized.

[0010] Furthermore, in a preferred embodiment of the present invention, the measured state data of the sea area where the offshore islands are located is collected, feature analysis is performed on the measured state data of the sea area where the offshore islands are located, and a sea area hydrodynamic-sediment transport mathematical model is constructed based on the feature analysis results and calibrated as a target mathematical model, specifically:

[0011] The offshore islands that need to be optimized for anti-scouring and silting resilience are marked as target offshore islands, and the coverage of the target offshore islands is calculated. Based on the coverage of the target offshore islands, the sea area where the target offshore islands are located is determined and marked as the target sea area;

[0012] Acquiring an image recognition drone, controlling the image recognition drone to acquire images of the target offshore islands over the target offshore islands to obtain real-time images of the target offshore islands, performing image preprocessing and image feature extraction on the real-time images of the target offshore islands, and determining current terrain data and a current arrangement of the target offshore islands;

[0013] The current topographic data of the target offshore island group includes the perimeter, shape, and surface area of ​​the target offshore island group, and the current topographic data of the target offshore island group and the current arrangement of the target offshore island group are collectively referred to as the current island state of the target offshore island group;

[0014] Determining a measured state data detection point in the target sea area, wherein the measured state data detection point is a location where a sensor for detecting sea area state data of the target sea area is placed, and the sensors for detecting sea area state data of the target sea area include a wave state sensor, a sediment flow state sensor, and a tidal current state sensor;

[0015] placing and operating a sensor for detecting sea area state data of a target sea area within a measured state data detection point to obtain measured state data of the target sea area, wherein the measured state data of the target sea area includes wave state, sediment flow state, and tidal state of the target sea area;

[0016] The simulation basic model is introduced, and the measured state data of the target sea area and the current island state of the target offshore island group are imported into the simulation basic model to update the model parameters, thereby obtaining a sea area hydrodynamic-sediment transport mathematical model that can simulate the interaction of waves, tides and sediment movement in the target sea area, which is calibrated as the target mathematical model.

[0017] Furthermore, in a preferred embodiment of the present invention, the target mathematical model is used to simulate the impact of different island states on the measured state data of the target sea area, and the target island state is determined based on the impact results, specifically:

[0018] Based on the historical data network, the status data of all target sea areas that may cause harm to the target offshore island groups in the current island state are retrieved and marked as dangerous status data;

[0019] Calculating the Euclidean distance between the dangerous state data and the measured state data of the target sea area, and presetting a standard Euclidean distance to determine whether the Euclidean distance between the dangerous state data and the measured state data of the target sea area is greater than the standard Euclidean distance;

[0020] If so, it is proved that the measured state data of the target sea area will not cause harm to the target offshore island group in the current island state, and the current island state of the target offshore island group is marked as a qualified island state;

[0021] If not, the island state control range of the target offshore island group is retrieved in the big data network, and all island states within the island state control range of the target offshore island group are imported into the target mathematical model for simulation operation, and the state data of the target sea area corresponding to different island states within the island state control range of the target offshore island group are generated and marked as the state data to be analyzed;

[0022] Among all the status data to be analyzed, the status data to be analyzed whose Euclidean distance to the dangerous status data of the target sea area is greater than the standard Euclidean distance is selected and calibrated as qualified status data, and the island status of the target offshore island group corresponding to the qualified status data is calibrated as the qualified island status;

[0023] The target offshore island group within the control target mathematical model is simulated and operated under different qualified island states, and the state data of the target sea area is monitored in real time. At the same time, the target state data of the target sea area is preset, and the qualified island state corresponding to the target state data of the target sea area is calibrated as the target island state.

[0024] Furthermore, in a preferred embodiment of the present invention, a real-time simulation of beach scouring and silting of the target offshore island group in the target island state is performed within the target mathematical model, and an optimal island group construction plan for the target offshore island group is generated based on the real-time simulation results of beach scouring and silting, specifically:

[0025] In the target mathematical model, the island state of the target offshore island group is set as the target island state, and the state data of the target sea area is set as the measured state data;

[0026] Acquire the coastlines of all island groups of the target offshore island group, and simultaneously acquire the coastline status of all island group coastlines of the target offshore island group, wherein the coastline status includes coastline length and coastline coverage;

[0027] Obtain all island construction plans of the target offshore island group, wherein the island construction plan includes the number, size, scope and type of buildings to be constructed on the target offshore island group;

[0028] Import all island group construction plans into the target mathematical model, so that the island group construction plans act on the island group coastline, and obtain the target mathematical model under different island group construction plans;

[0029] Among them, in the target mathematical models under different island group construction plans, the number, size and type of buildings on the coastline of the target offshore island groups are consistent, but the construction scope of the buildings is different;

[0030] Run the target mathematical model to conduct real-time simulation of beach erosion and deposition, and calculate the coastline state of the island group coastline under the measured state data of the target sea area in real time. Based on the coastline state of the island group coastline under the measured state data of the target sea area and the original coastline state of the island group coastline, calculate the erosion rate of the island group coastline due to sea water, and calibrate it to the measured beach erosion rate;

[0031] The island group construction plan corresponding to the smallest measured beach erosion rate is selected and calibrated as the optimal island group construction plan for the target offshore island group.

[0032] Furthermore, in a preferred embodiment of the present invention, the optimal island group construction plan of the target offshore island group is applied to the target mathematical model, and the impact toughness of the target offshore island group is optimized, specifically:

[0033] Based on the optimal island construction plan of the target offshore island group and the status of the target island, the model parameters of the target mathematical model are updated to obtain the mathematical model to be analyzed;

[0034] Analyze the optimal island construction plan and the status of the target offshore islands through a big data network, retrieve all types of hydraulic structures that are suitable for the target offshore islands under current conditions, mark them as suitable hydraulic structure types, and retrieve the standard range of design parameters for suitable hydraulic structure types;

[0035] In the mathematical model to be analyzed, all hydraulic structure combination schemes are simulated and generated, wherein the appropriate hydraulic structure types and corresponding design parameters of the hydraulic structures are different in different hydraulic structure combination schemes, and the design parameters of the appropriate hydraulic structure types are maintained within the design parameter standard range;

[0036] In the mathematical model to be analyzed, different hydraulic structure combination schemes are respectively implemented, the mathematical model to be analyzed is run after implementing the different hydraulic structure combination schemes, and the impact toughness of the mathematical model to be analyzed for the target sea area under the different hydraulic structure combination schemes is calculated, and calibrated as the impact toughness to be analyzed;

[0037] The minimum impact toughness is preset, and the corresponding hydraulic structure combination schemes whose impact toughness to be analyzed is less than the minimum impact toughness are screened out, and the corresponding hydraulic structure combination schemes whose impact toughness to be analyzed is not less than the minimum impact toughness are marked as qualified hydraulic structure combination schemes;

[0038] If there is no qualified hydraulic structure combination scheme, a refined analysis of model parameters is performed in the mathematical model to be analyzed, and the hydraulic structure combination scheme is adjusted to obtain a qualified hydraulic structure combination scheme.

[0039] Furthermore, in a preferred embodiment of the present invention, the method of performing a refined analysis of model parameters in the mathematical model to be analyzed and adjusting the hydraulic structure combination scheme to obtain a qualified hydraulic structure combination scheme is as follows:

[0040] The Monte Carlo algorithm is introduced into the mathematical model to be analyzed, and a hydraulic structure combination scheme is randomly selected as a test scheme and calibrated as the target test scheme;

[0041] Obtaining scheme parameters of the target test scheme in the mathematical model to be analyzed, calibrating them as target test scheme parameters, and calculating the fitness of the target test scheme parameters in the mathematical model to be analyzed by the Monte Carlo algorithm, calibrating them as fitness to be analyzed;

[0042] A standard fitness is preset. If the fitness to be analyzed is less than the standard fitness, a genetic algorithm is introduced. Based on the genetic algorithm, model parameters of the mathematical model to be analyzed are iteratively calculated. The iterative calculation of the model parameters is to perform normal distribution sampling of the model parameters of the mathematical model to be analyzed, and the obtained model parameters are randomly combined during the normal distribution sampling process to optimize the accuracy of the normal distribution sampling of the model parameters of the mathematical model to be analyzed.

[0043] A standard number of iterations is preset. When the number of iterations of the iterative calculation of the model parameters is equal to the standard number of iterations, the iterative calculation is stopped, and the optimized mathematical model is output, and the fitness of the target test scheme parameters in the optimized mathematical model is made greater than the standard fitness;

[0044] If the fitness of the target test scheme parameters in the optimization mathematical model is greater than the standard fitness, but there is still no qualified hydraulic structure combination scheme, then the hydraulic structure combination scheme with the largest impact toughness to be analyzed is intelligently adjusted, wherein the scheme function adjustment is to adjust the number and position of the hydraulic structures in the hydraulic structure combination scheme so that a qualified hydraulic structure combination scheme exists in the optimization mathematical model.

[0045] A second aspect of the present invention further provides an offshore island morphology design system based on optimization of erosion and deposition toughness. The offshore island morphology design system includes a memory and a processor. The memory stores an offshore island morphology design method. When the offshore island morphology design method is executed by the processor, the following steps are implemented:

[0046] Collect measured state data of the sea area where the offshore islands are located, perform feature analysis on the measured state data of the sea area where the offshore islands are located, and construct a sea area hydrodynamic-sediment transport mathematical model based on the feature analysis results, and calibrate it as the target mathematical model;

[0047] The target mathematical model is used to simulate the impact of different island states on the measured state data of the target sea area, and the target island state is determined based on the impact results;

[0048] Conducting real-time simulation of beach erosion and siltation of target offshore islands under target island status within a target mathematical model, and generating an optimal island group construction plan for the target offshore islands based on the results of the real-time simulation of beach erosion and siltation;

[0049] The optimal island construction plan of the target offshore island group is applied in the target mathematical model, and the anti-impact toughness of the target offshore island group is optimized.

[0050] The present invention solves the technical defects existing in the background technology, and has the following beneficial effects: the state data of the sea area where the target offshore island group is located is measured, and a sea area hydrodynamic-sediment transport mathematical model is constructed based on the measured results. The island state and island group construction plan of the target offshore island group are determined by the sea area hydrodynamic-sediment transport mathematical model, and finally the anti-scouring toughness of the target offshore island group is optimized. The present invention can achieve the purpose of optimizing the anti-scouring and anti-silting toughness of the offshore island group by deeply studying the interaction mechanism between ocean dynamic processes and island group morphology, combining advanced numerical simulation and experimental verification technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, without paying any creative work, they can also obtain drawings of other embodiments based on these drawings.

[0052] Figure 1 A flow chart showing a method for designing offshore island morphology based on optimization of erosion and silt resistance is shown;

[0053] Figure 2 A flow chart of a method for optimizing the impact resilience of a target offshore island group is shown;

[0054] Figure 3 A program view of an offshore island morphology design system based on optimization of anti-scouring and siltation toughness is shown. DETAILED DESCRIPTION

[0055] In order to more clearly understand the above-mentioned objects, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the absence of conflict, the embodiments of the present application and the features therein can be combined with each other.

[0056] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0057] Figure 1 A flow chart of a method for designing offshore island morphology based on optimization of erosion and silt resistance is shown, comprising the following steps:

[0058] S102: collecting measured state data of the sea area where the offshore islands are located, performing feature analysis on the measured state data of the sea area where the offshore islands are located, and constructing a sea area hydrodynamic-sediment transport mathematical model based on the feature analysis results, and calibrating it as a target mathematical model;

[0059] S104: simulating the impact of different island states on the measured state data of the target sea area through the target mathematical model, and determining the target island state based on the impact results;

[0060] S106: performing a real-time simulation of shore erosion and siltation for the target offshore island group in the target island state within the target mathematical model, and generating an optimal island group construction plan for the target offshore island group based on the real-time simulation results of shore erosion and siltation;

[0061] S108: Apply the optimal island construction plan of the target offshore island group in the target mathematical model, and optimize the impact toughness of the target offshore island group.

[0062] Furthermore, in a preferred embodiment of the present invention, the measured state data of the sea area where the offshore islands are located is collected, feature analysis is performed on the measured state data of the sea area where the offshore islands are located, and a sea area hydrodynamic-sediment transport mathematical model is constructed based on the feature analysis results and calibrated as a target mathematical model, specifically:

[0063] The offshore islands that need to be optimized for anti-scouring and silting resilience are marked as target offshore islands, and the coverage of the target offshore islands is calculated. Based on the coverage of the target offshore islands, the sea area where the target offshore islands are located is determined and marked as the target sea area;

[0064] Acquiring an image recognition drone, controlling the image recognition drone to acquire images of the target offshore islands over the target offshore islands to obtain real-time images of the target offshore islands, performing image preprocessing and image feature extraction on the real-time images of the target offshore islands, and determining current terrain data and a current arrangement of the target offshore islands;

[0065] The current topographic data of the target offshore island group includes the perimeter, shape, and surface area of ​​the target offshore island group, and the current topographic data of the target offshore island group and the current arrangement of the target offshore island group are collectively referred to as the current island state of the target offshore island group;

[0066] Determining a measured state data detection point in the target sea area, wherein the measured state data detection point is a location where a sensor for detecting sea area state data of the target sea area is placed, and the sensors for detecting sea area state data of the target sea area include a wave state sensor, a sediment flow state sensor, and a tidal current state sensor;

[0067] placing and operating a sensor for detecting sea area state data of a target sea area within a measured state data detection point to obtain measured state data of the target sea area, wherein the measured state data of the target sea area includes wave state, sediment flow state, and tidal state of the target sea area;

[0068] The simulation basic model is introduced, and the measured state data of the target sea area and the current island state of the target offshore island group are imported into the simulation basic model to update the model parameters, thereby obtaining a sea area hydrodynamic-sediment transport mathematical model that can simulate the interaction of waves, tides and sediment movement in the target sea area, which is calibrated as the target mathematical model.

[0069] It should be noted that constructing a mathematical model of marine hydrodynamics and sediment transport can simulate the morphological changes of offshore islands under different environmental conditions, predict the impacts of waves, tidal currents, and sediment movement on the islands, and provide a theoretical basis and technical support for the optimal layout of offshore islands. Before constructing this mathematical model, it is necessary to first determine the scope of the sea area and the current state of the target offshore islands to provide the necessary conditions for model construction. Drones can capture images of the islands, and by combining them with scale, they can determine the current state of the islands. After acquiring measured data of the target sea area, statistical analysis can identify long-term variations and seasonal characteristics of waves and tidal currents. For example, by analyzing data such as wave period, direction, and height, as well as tidal velocity and direction, we can understand the basic characteristics of the marine hydrodynamic environment, providing data support for subsequent analysis. Finally, all data is imported into simulation software to generate a mathematical model of marine hydrodynamics and sediment transport, which is then calibrated as the target mathematical model.

[0070] Furthermore, in a preferred embodiment of the present invention, the target mathematical model is used to simulate the impact of different island states on the measured state data of the target sea area, and the target island state is determined based on the impact results, specifically:

[0071] Based on the historical data network, the status data of all target sea areas that may cause harm to the target offshore island groups in the current island state are retrieved and marked as dangerous status data;

[0072] Calculating the Euclidean distance between the dangerous state data and the measured state data of the target sea area, and presetting a standard Euclidean distance to determine whether the Euclidean distance between the dangerous state data and the measured state data of the target sea area is greater than the standard Euclidean distance;

[0073] If so, it is proved that the measured state data of the target sea area will not cause harm to the target offshore island group in the current island state, and the current island state of the target offshore island group is marked as a qualified island state;

[0074] If not, the island state control range of the target offshore island group is retrieved in the big data network, and all island states within the island state control range of the target offshore island group are imported into the target mathematical model for simulation operation, and the state data of the target sea area corresponding to different island states within the island state control range of the target offshore island group are generated and marked as the state data to be analyzed;

[0075] Among all the status data to be analyzed, the status data to be analyzed whose Euclidean distance to the dangerous status data of the target sea area is greater than the standard Euclidean distance is selected and calibrated as qualified status data, and the island status of the target offshore island group corresponding to the qualified status data is calibrated as the qualified island status;

[0076] The target offshore island group within the control target mathematical model is simulated and operated under different qualified island states, and the state data of the target sea area is monitored in real time. At the same time, the target state data of the target sea area is preset, and the qualified island state corresponding to the target state data of the target sea area is calibrated as the target island state.

[0077] It should be noted that the construction of offshore islands will alter the wave and current environment of the surrounding seas. Using a mathematical model of marine hydrodynamics and sediment transport, we can simulate the impact of different island states on the target sea area. First, we determine the state data of all target sea areas that could pose a threat to the target offshore islands and determine the similarity between the measured state data of the target sea area and this data. This similarity can be calculated using the Euclidean distance method; the smaller the Euclidean distance, the higher the similarity. A high similarity indicates that the current island state is causing anomalies in the measured state data of the target sea area, resulting in damage to the target offshore islands. Because factors such as island size, shape, and arrangement vary in their impact on tidal velocity distribution, flow direction, and eddies, the damage to the islands varies. Therefore, it is necessary to control the state of the target offshore islands and determine the impact of different island states on the state data of the target sea area. State data to be analyzed whose Euclidean distance from the target sea area's dangerous state data is greater than the standard Euclidean distance is selected and calibrated as qualified state data. The corresponding island states are then calibrated and classified as qualified island states.

[0078] Furthermore, in a preferred embodiment of the present invention, a real-time simulation of beach scouring and silting of the target offshore island group in the target island state is performed within the target mathematical model, and an optimal island group construction plan for the target offshore island group is generated based on the real-time simulation results of beach scouring and silting, specifically:

[0079] In the target mathematical model, the island state of the target offshore island group is set as the target island state, and the state data of the target sea area is set as the measured state data;

[0080] Acquire the coastlines of all island groups of the target offshore island group, and simultaneously acquire the coastline status of all island group coastlines of the target offshore island group, wherein the coastline status includes coastline length and coastline coverage;

[0081] Obtain all island construction plans of the target offshore island group, wherein the island construction plan includes the number, size, scope and type of buildings to be constructed on the target offshore island group;

[0082] Import all island group construction plans into the target mathematical model, so that the island group construction plans act on the island group coastline, and obtain the target mathematical model under different island group construction plans;

[0083] Among them, in the target mathematical models under different island group construction plans, the number, size and type of buildings on the coastline of the target offshore island groups are consistent, but the construction scope of the buildings is different;

[0084] Run the target mathematical model to conduct real-time simulation of beach erosion and deposition, and calculate the coastline state of the island group coastline under the measured state data of the target sea area in real time. Based on the coastline state of the island group coastline under the measured state data of the target sea area and the original coastline state of the island group coastline, calculate the erosion rate of the island group coastline due to sea water, and calibrate it to the measured beach erosion rate;

[0085] The island group construction plan corresponding to the smallest measured beach erosion rate is selected and calibrated as the optimal island group construction plan for the target offshore island group.

[0086] It should be noted that the construction of offshore islands can affect the erosion and deposition of surrounding beaches. Changing the coastline and seafloor topography surrounding the islands, or constructing structures on the shoreline of an offshore island, can affect the nearshore hydrodynamics, such as tidal and wave dynamics. Different construction plans have varying degrees of impact, meaning that the rate of erosion after erosion and deposition also varies. Therefore, the island construction plan that minimizes erosion is selected as the output. In the target mathematical model, different island construction plans are applied and the resulting erosion rates of the island coastline after simulations are determined. Based on the measured shoreline conditions of the target sea area and the original shoreline conditions, the erosion rate can be calculated. Since the original shoreline is intact, while the simulated shoreline is eroded, the erosion rate can be calculated by comparing the two.

[0087] Figure 2 A flow chart of a method for optimizing the impact toughness of a target offshore island group is shown, comprising the following steps:

[0088] S202: Based on the optimal island group construction plan of the target offshore island group and the status of the target islands, updating the model parameters of the target mathematical model to obtain the mathematical model to be analyzed;

[0089] S204: Calculate the impact toughness of the mathematical model to be analyzed under different hydraulic structure combination schemes and perform analysis;

[0090] S206: Performing a refined analysis of model parameters in the mathematical model to be analyzed and adjusting the hydraulic structure combination scheme to obtain a qualified hydraulic structure combination scheme.

[0091] Furthermore, in a preferred embodiment of the present invention, the optimal island group construction plan of the target offshore island group is applied to the target mathematical model, and the impact toughness of the target offshore island group is optimized, specifically:

[0092] Analyze the optimal island construction plan and the status of the target offshore islands through a big data network, retrieve all types of hydraulic structures that are suitable for the target offshore islands under current conditions, mark them as suitable hydraulic structure types, and retrieve the standard range of design parameters for suitable hydraulic structure types;

[0093] In the mathematical model to be analyzed, all hydraulic structure combination schemes are simulated and generated, wherein the appropriate hydraulic structure types and corresponding design parameters of the hydraulic structures are different in different hydraulic structure combination schemes, and the design parameters of the appropriate hydraulic structure types are maintained within the design parameter standard range;

[0094] In the mathematical model to be analyzed, different hydraulic structure combination schemes are respectively implemented, the mathematical model to be analyzed is run after implementing the different hydraulic structure combination schemes, and the impact toughness of the mathematical model to be analyzed for the target sea area under the different hydraulic structure combination schemes is calculated, and calibrated as the impact toughness to be analyzed;

[0095] The minimum impact toughness is preset, and the corresponding hydraulic structure combination schemes whose impact toughness to be analyzed is less than the minimum impact toughness are screened out, and the corresponding hydraulic structure combination schemes whose impact toughness to be analyzed is not less than the minimum impact toughness are calibrated as qualified hydraulic structure combination schemes.

[0096] It should be noted that by adjusting the layout of island clusters and adding hydraulic structures, an optimized layout technology for island cluster anti-scour morphology and resilience can be developed, which can improve the scour and sedimentation resistance of offshore islands. Hydraulic structures include but are not limited to caissons, pipe wells, and revetments, and their design parameters include but are not limited to size, material, and strength. Due to the wide variety of hydraulic structure types, a big data network is needed to analyze the optimal island cluster construction plan and the target island status to determine the appropriate type and design parameters. This provides the conditions for obtaining a suitable hydraulic structure combination scheme, thereby improving the scour resilience of the target offshore island cluster. By obtaining different hydraulic structure combination schemes and applying them to the mathematical model to be analyzed, scour resilience can be calculated. Scour resilience includes improved scour resistance and sedimentation resistance. Hydraulic structure combination schemes with scour resilience greater than the minimum scour resilience are calibrated as qualified hydraulic structure combination schemes and output.

[0097] Furthermore, in a preferred embodiment of the present invention, the method of performing a refined analysis of model parameters in the mathematical model to be analyzed and adjusting the hydraulic structure combination scheme to obtain a qualified hydraulic structure combination scheme is as follows:

[0098] The Monte Carlo algorithm is introduced into the mathematical model to be analyzed, and a hydraulic structure combination scheme is randomly selected as a test scheme and calibrated as the target test scheme;

[0099] Obtaining scheme parameters of the target test scheme in the mathematical model to be analyzed, calibrating them as target test scheme parameters, and calculating the fitness of the target test scheme parameters in the mathematical model to be analyzed by the Monte Carlo algorithm, calibrating them as fitness to be analyzed;

[0100] A standard fitness is preset. If the fitness to be analyzed is less than the standard fitness, a genetic algorithm is introduced. Based on the genetic algorithm, model parameters of the mathematical model to be analyzed are iteratively calculated. The iterative calculation of the model parameters is to perform normal distribution sampling of the model parameters of the mathematical model to be analyzed, and the obtained model parameters are randomly combined during the normal distribution sampling process to optimize the accuracy of the normal distribution sampling of the model parameters of the mathematical model to be analyzed.

[0101] A standard number of iterations is preset. When the number of iterations of the iterative calculation of the model parameters is equal to the standard number of iterations, the iterative calculation is stopped, and the optimized mathematical model is output, and the fitness of the target test scheme parameters in the optimized mathematical model is made greater than the standard fitness;

[0102] If the fitness of the target test scheme parameters in the optimization mathematical model is greater than the standard fitness, but there is still no qualified hydraulic structure combination scheme, then the hydraulic structure combination scheme with the largest impact toughness to be analyzed is intelligently adjusted, wherein the scheme function adjustment is to adjust the number and position of the hydraulic structures in the hydraulic structure combination scheme so that a qualified hydraulic structure combination scheme exists in the optimization mathematical model.

[0103] It should be noted that if no qualified hydraulic structure combination scheme exists, this indicates that there may be problems with the hydraulic structure combination scheme, or that the mathematical model may not fully implement the scheme when executing the hydraulic structure combination scheme. For example, the parameters cannot be fully applied within the mathematical model, resulting in the parameters of the scheme being different from the parameters actually implemented. First, the parameters of the mathematical model are analyzed. The Monte Carlo algorithm is introduced. The Monte Carlo algorithm can calculate the fitness of the target test scheme parameters in the mathematical model to be analyzed. The higher the fitness, the higher the execution accuracy of the scheme. When the fitness is lower than the preset value, it indicates that the execution accuracy of the scheme is low, and the model parameters need to be optimized. The genetic algorithm is used to sample the model parameters from a normal distribution and randomly combine them. This is because the genetic algorithm can generate a new fitness function based on the combination and crossover of parameters, which increases the model's fitness for the scheme and successfully handles multidimensional problems. After the standard number of iterations, the iterative calculation is stopped and the optimized mathematical model is output. At this point, the fitness of the optimized mathematical model for the scheme is greater than the standard value. If there is still no qualified hydraulic structure combination scheme at this time, it proves that there is a problem with the hydraulic structure combination scheme, and the number and position of the hydraulic structures in the scheme need to be adjusted in real time. When there is a hydraulic structure combination scheme with an impact toughness to be analyzed that is not less than the minimum impact toughness, the adjustment can be stopped and a qualified hydraulic structure combination scheme can be output.

[0104] like Figure 3 As shown, the second aspect of the present invention further provides an offshore island morphology design system based on optimization of anti-scouring and silting toughness. The offshore island morphology design system includes a memory 31 and a processor 32. The memory 31 stores an offshore island morphology design method. When the offshore island morphology design method is executed by the processor 32, the following steps are implemented:

[0105] Collect measured state data of the sea area where the offshore islands are located, perform feature analysis on the measured state data of the sea area where the offshore islands are located, and construct a sea area hydrodynamic-sediment transport mathematical model based on the feature analysis results, and calibrate it as the target mathematical model;

[0106] The target mathematical model is used to simulate the impact of different island states on the measured state data of the target sea area, and the target island state is determined based on the impact results;

[0107] Conducting real-time simulation of beach erosion and siltation of target offshore islands under target island status within a target mathematical model, and generating an optimal island group construction plan for the target offshore islands based on the results of the real-time simulation of beach erosion and siltation;

[0108] The optimal island construction plan of the target offshore island group is applied in the target mathematical model, and the anti-impact toughness of the target offshore island group is optimized.

[0109] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for designing offshore island morphology based on optimization of anti-scouring and anti-silting toughness, characterized by: The following steps are involved: Collect measured state data of the sea area where the offshore islands are located, perform feature analysis on the measured state data of the sea area where the offshore islands are located, and construct a sea area hydrodynamic-sediment transport mathematical model based on the feature analysis results, and calibrate it as the target mathematical model; The target mathematical model is used to simulate the impact of different island states on the measured state data of the target sea area, and the target island state is determined based on the impact results; Conducting real-time simulation of beach erosion and siltation of target offshore islands under target island status within a target mathematical model, and generating an optimal island group construction plan for the target offshore islands based on the results of the real-time simulation of beach erosion and siltation; Apply the optimal island construction plan of the target offshore island group in the target mathematical model and optimize the impact resilience of the target offshore island group; The method involves collecting measured state data of the sea area where the offshore islands are located, performing feature analysis on the measured state data of the sea area where the offshore islands are located, and constructing a sea area hydrodynamic-sediment transport mathematical model based on the feature analysis results, which is calibrated as a target mathematical model. Specifically, the model is: The offshore islands that need to be optimized for anti-scouring and silting resilience are marked as target offshore islands, and the coverage of the target offshore islands is calculated. Based on the coverage of the target offshore islands, the sea area where the target offshore islands are located is determined and marked as the target sea area; Acquiring an image recognition drone, controlling the image recognition drone to acquire images of the target offshore islands over the target offshore islands to obtain real-time images of the target offshore islands, performing image preprocessing and image feature extraction on the real-time images of the target offshore islands, and determining current terrain data and a current arrangement of the target offshore islands; The current topographic data of the target offshore island group includes the perimeter, shape, and surface area of ​​the target offshore island group, and the current topographic data of the target offshore island group and the current arrangement of the target offshore island group are collectively referred to as the current island state of the target offshore island group; Determining a measured state data detection point in the target sea area, wherein the measured state data detection point is a location where a sensor for detecting sea area state data of the target sea area is placed, and the sensors for detecting sea area state data of the target sea area include a wave state sensor, a sediment flow state sensor, and a tidal current state sensor; placing and operating a sensor for detecting sea area state data of a target sea area within a measured state data detection point to obtain measured state data of the target sea area, wherein the measured state data of the target sea area includes wave state, sediment flow state, and tidal state of the target sea area; The simulation basic model is introduced, and the measured state data of the target sea area and the current island state of the target offshore island group are imported into the simulation basic model to update the model parameters, thereby obtaining a sea area hydrodynamic-sediment transport mathematical model that can simulate the interaction of waves, tides and sediment movement in the target sea area, which is calibrated as the target mathematical model.

2. The offshore island morphology design method based on optimization of anti-scouring and silting toughness according to claim 1 is characterized in that: The target mathematical model is used to simulate the impact of different island states on the measured state data of the target sea area, and the target island state is determined based on the impact results, specifically: Based on the historical data network, the status data of all target sea areas that may cause harm to the target offshore island groups in the current island state are retrieved and marked as dangerous status data; Calculating the Euclidean distance between the dangerous state data and the measured state data of the target sea area, and presetting a standard Euclidean distance to determine whether the Euclidean distance between the dangerous state data and the measured state data of the target sea area is greater than the standard Euclidean distance; If so, it is proved that the measured state data of the target sea area will not cause harm to the target offshore island group in the current island state, and the current island state of the target offshore island group is marked as a qualified island state; If not, the island state control range of the target offshore island group is retrieved in the big data network, and all island states within the island state control range of the target offshore island group are imported into the target mathematical model for simulation operation, and the state data of the target sea area corresponding to different island states within the island state control range of the target offshore island group are generated and marked as the state data to be analyzed; Among all the status data to be analyzed, the status data to be analyzed whose Euclidean distance to the dangerous status data of the target sea area is greater than the standard Euclidean distance is selected and calibrated as qualified status data, and the island status of the target offshore island group corresponding to the qualified status data is calibrated as the qualified island status; The target offshore island group within the control target mathematical model is simulated and operated under different qualified island states, and the state data of the target sea area is monitored in real time. At the same time, the target state data of the target sea area is preset, and the qualified island state corresponding to the target state data of the target sea area is calibrated as the target island state.

3. The offshore island morphology design method based on optimization of anti-scouring and silting toughness according to claim 1 is characterized in that: The target offshore island group under the target island state is subjected to a real-time simulation of shore scouring and silting in the target mathematical model, and an optimal island group construction plan for the target offshore island group is generated based on the real-time simulation results of shore scouring and silting, specifically: In the target mathematical model, the island state of the target offshore island group is set as the target island state, and the state data of the target sea area is set as the measured state data; Acquire the coastlines of all island groups of the target offshore island group, and simultaneously acquire the coastline status of all island group coastlines of the target offshore island group, wherein the coastline status includes coastline length and coastline coverage; Obtaining all island construction plans of the target offshore islands, wherein the island construction plans include the number, size, scope, and type of buildings to be constructed on the target offshore islands; Import all island group construction plans into the target mathematical model, so that the island group construction plans act on the island group coastline, and obtain the target mathematical model under different island group construction plans; Among them, in the target mathematical models under different island group construction plans, the number, size and type of buildings on the coastline of the target offshore island groups are consistent, but the construction scope of the buildings is different; Run the target mathematical model to conduct real-time simulation of beach erosion and deposition, and calculate the coastline state of the island group coastline under the measured state data of the target sea area in real time. Based on the coastline state of the island group coastline under the measured state data of the target sea area and the original coastline state of the island group coastline, calculate the erosion rate of the island group coastline due to sea water, and calibrate it to the measured beach erosion rate; The island group construction plan corresponding to the smallest measured beach erosion rate is selected and calibrated as the optimal island group construction plan for the target offshore island group.

4. The offshore island morphology design method based on optimization of erosion and siltation resistance according to claim 1, characterized in that: The optimal island group construction plan of the target offshore island group is applied to the target mathematical model, and the impact toughness of the target offshore island group is optimized, specifically: Based on the optimal island construction plan of the target offshore island group and the status of the target island, the model parameters of the target mathematical model are updated to obtain the mathematical model to be analyzed; Analyze the optimal island construction plan and the status of the target offshore islands through a big data network, retrieve all types of hydraulic structures that are suitable for the target offshore islands under current conditions, mark them as suitable hydraulic structure types, and retrieve the standard range of design parameters for suitable hydraulic structure types; In the mathematical model to be analyzed, all hydraulic structure combination schemes are simulated and generated, wherein the appropriate hydraulic structure types and corresponding design parameters of the hydraulic structures are different in different hydraulic structure combination schemes, and the design parameters of the appropriate hydraulic structure types are maintained within the design parameter standard range; In the mathematical model to be analyzed, different hydraulic structure combination schemes are respectively implemented, the mathematical model to be analyzed is run after implementing the different hydraulic structure combination schemes, and the impact toughness of the mathematical model to be analyzed for the target sea area under the different hydraulic structure combination schemes is calculated, and calibrated as the impact toughness to be analyzed; The minimum impact toughness is preset, and the corresponding hydraulic structure combination schemes whose impact toughness to be analyzed is less than the minimum impact toughness are screened out, and the corresponding hydraulic structure combination schemes whose impact toughness to be analyzed is not less than the minimum impact toughness are marked as qualified hydraulic structure combination schemes; If there is no qualified hydraulic structure combination scheme, a refined analysis of model parameters is performed in the mathematical model to be analyzed, and the hydraulic structure combination scheme is adjusted to obtain a qualified hydraulic structure combination scheme.

5. The offshore island morphology design method based on optimization of erosion and siltation resistance according to claim 4, characterized in that: The method of performing a refined analysis of model parameters in the mathematical model to be analyzed and adjusting the hydraulic structure combination scheme to obtain a qualified hydraulic structure combination scheme is as follows: The Monte Carlo algorithm is introduced into the mathematical model to be analyzed, and a hydraulic structure combination scheme is randomly selected as a test scheme and calibrated as the target test scheme; Obtaining scheme parameters of the target test scheme in the mathematical model to be analyzed, calibrating them as target test scheme parameters, and calculating the fitness of the target test scheme parameters in the mathematical model to be analyzed by the Monte Carlo algorithm, calibrating them as fitness to be analyzed; A standard fitness is preset. If the fitness to be analyzed is less than the standard fitness, a genetic algorithm is introduced. Based on the genetic algorithm, model parameters of the mathematical model to be analyzed are iteratively calculated. The iterative calculation of the model parameters is to perform normal distribution sampling of the model parameters of the mathematical model to be analyzed, and the obtained model parameters are randomly combined during the normal distribution sampling process to optimize the accuracy of the normal distribution sampling of the model parameters of the mathematical model to be analyzed. A standard number of iterations is preset. When the number of iterations of the iterative calculation of the model parameters is equal to the standard number of iterations, the iterative calculation is stopped, and the optimized mathematical model is output, and the fitness of the target test scheme parameters in the optimized mathematical model is made greater than the standard fitness; If the fitness of the target test scheme parameters in the optimization mathematical model is greater than the standard fitness, but there is still no qualified hydraulic structure combination scheme, then the hydraulic structure combination scheme with the largest impact toughness to be analyzed will be intelligently adjusted, wherein the intelligent adjustment of the scheme is to adjust the number and position of the hydraulic structures in the hydraulic structure combination scheme so that a qualified hydraulic structure combination scheme exists in the optimization mathematical model.

6. A system for designing offshore island morphology based on optimization of anti-scouring and silting toughness, characterized by: The offshore island morphology design system includes a memory and a processor, wherein the memory stores an offshore island morphology design method program. When the offshore island morphology design method program is executed by the processor, the offshore island morphology design method steps as described in any one of claims 1 to 5 are implemented.

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