Offshore island group form design method based on erosion and deposition resistance toughness optimization

Abstract

The invention relates to the field of offshore island group design, and discloses an offshore island group form design method based on anti-scouring and anti-silting toughness optimization, which comprises the following steps of: performing state data actual measurement on a sea area where a target offshore island group is located, and constructing a sea area hydrodynamic force-sediment transportation mathematical model according to an actual measurement result; determining the island state and island group construction plan of a target offshore island group through the sea area hydrodynamic force-sediment transportation mathematical model, and finally performing impact toughness optimization on the target offshore island group. According to the method disclosed by the invention, the aim of optimizing the anti-scouring and anti-silting toughness of the offshore island group can be fulfilled by deeply researching the interaction mechanism between the ocean dynamic process and the island group form and combining an advanced numerical simulation and experimental verification technology.

Description

Technical Field

[0001] The invention relates to the field of offshore island group design, and in particular to an offshore island group morphology design method based on anti-scouring and silting toughness optimization. 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, tourism and leisure. However, offshore islands have long been eroded by complex marine dynamic environments, especially strong wave impacts 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 island morphology and the marine environment, resulting in the engineering being vulnerable to damage and high maintenance costs. Therefore, there is an urgent need for an innovative offshore island morphology design method to optimize the island's anti-scouring and silting toughness 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 toughness optimization by deeply studying the interaction mechanism between marine dynamic processes and island morphology, combining advanced numerical simulation and experimental verification techniques, and providing an efficient, economical and sustainable solution for the field of marine engineering. Summary of the invention

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

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

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

[0006] Collect the 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 build 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 in the target mathematical model, and generating an optimal island group construction plan for the target offshore islands based on the real-time simulation results 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, and the measured state data of the sea area where the offshore islands are located is subjected to feature analysis, 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] Acquire an image recognition drone, control the image recognition drone to acquire images of the target offshore islands over the target offshore islands, obtain real-time images of the target offshore islands, perform image preprocessing and image feature extraction processing on the real-time images of the target offshore islands, and determine current terrain data of the target offshore islands 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] Determine 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 sensor for detecting sea area state data of the target sea area includes a wave state sensor, a sediment flow state sensor, and a tidal current state sensor;

[0015] A sensor for detecting sea area state data of a target sea area is placed and operated in 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 a wave state, a sediment flow state, and a 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, so as to obtain 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 result, specifically:

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

[0019] Calculate the Euclidean distance between the dangerous state data and the measured state data of the target sea area, preset the standard Euclidean distance, and 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 the island states within the island state control range of the target offshore island group are respectively 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 with the dangerous status data of the target sea area is greater than the standard Euclidean distance are selected and marked as qualified status data, and the island status of the target offshore island group corresponding to the qualified status data is marked as qualified island status;

[0023] The target offshore island group in the target mathematical model is controlled to simulate operation 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, the target offshore islands in the target island state are subjected to real-time simulation of beach scouring and silting in the target mathematical model, and an optimal island group construction plan for the target offshore islands 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 all the island group coastlines of the target offshore island group, and simultaneously acquire the coastline status of all the island group coastlines of the target offshore island group, wherein the coastline status includes the coastline length and the coastline coverage;

[0027] Obtain all island group construction plans of the target offshore island group, wherein the island group construction plan includes the number, size, scope and type of buildings to be built 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 island group coastline of the target offshore island group are consistent, but the construction range of the buildings is different;

[0030] Run the target mathematical model to simulate the erosion and deposition of the shore in real time, calculate the coastline state of the island group coastline under the measured state data of the target sea area in real time, and calculate the erosion rate of the island group coastline by sea water 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, and calibrate it to the measured shore erosion rate;

[0031] The island group construction plan corresponding to the smallest measured shore 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 in the target mathematical model, and the impact toughness optimization of the target offshore island group is performed, 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] Through the big data network, the optimal island construction plan and the status of the target offshore islands are analyzed, and the types of all hydraulic structures suitable for the target offshore islands under current conditions are retrieved, marked as suitable hydraulic structure types, and the standard range of design parameters for suitable hydraulic structure types is retrieved;

[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 after implementing the different hydraulic structure combination schemes is run, 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 model parameter refinement analysis 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, specifically:

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

[0041] Obtaining the scheme parameters of the target test scheme in the mathematical model to be analyzed, calibrating them as the 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 the 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, the 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 to perform random combination of the obtained model parameters during the normal distribution sampling process, so as 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 outputted, 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 optimized 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 optimized mathematical model.

[0045] The second aspect of the present invention further provides an offshore island group morphology design system based on optimization of anti-scouring and silting toughness, the offshore island group morphology design system comprising a memory and a processor, the memory storing an offshore island group morphology design method, and when the offshore island group morphology design method is executed by the processor, the following steps are implemented:

[0046] Collect the 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 build 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 in the target mathematical model, and generating an optimal island group construction plan for the target offshore islands based on the real-time simulation results 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 the present invention has the following beneficial effects: the state data of the sea area where the target offshore island group is located is measured, and a mathematical model of sea area hydrodynamics-sediment transport is constructed based on the measured results. The island state of the target offshore island group and the island group construction plan are determined by the sea area hydrodynamics-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 silting toughness of the offshore island group by deeply studying the interaction mechanism between the ocean dynamic process and the 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 drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0052] Figure 1 A flow chart showing a method for designing the morphology of offshore islands based on optimization of anti-scouring and silting toughness is shown;

[0053] Figure 2 A flow chart of a method for optimizing the impact toughness 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 silting toughness is shown. DETAILED DESCRIPTION

[0055] In order to more clearly understand the above-mentioned purpose, 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 the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[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 protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0057] Figure 1 A flow chart of a method for designing the morphology of offshore islands based on optimization of anti-scouring and silting toughness 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 influence of different island states on the measured state data of the target sea area through the target mathematical model, and determining the state of the target island based on the influence result;

[0060] S106: performing a real-time simulation of beach erosion and siltation on 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 result of beach erosion and siltation;

[0061] S108: Apply the optimal island group 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, and the measured state data of the sea area where the offshore islands are located is subjected to feature analysis, 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] Acquire an image recognition drone, control the image recognition drone to acquire images of the target offshore islands over the target offshore islands, obtain real-time images of the target offshore islands, perform image preprocessing and image feature extraction processing on the real-time images of the target offshore islands, and determine current terrain data of the target offshore islands 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] Determine 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 sensor for detecting sea area state data of the target sea area includes a wave state sensor, a sediment flow state sensor, and a tidal current state sensor;

[0067] A sensor for detecting sea area state data of a target sea area is placed and operated in 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 a wave state, a sediment flow state, and a 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, so as to obtain 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 the construction of a mathematical model of marine hydrodynamics-sediment transport can simulate the morphological changes of offshore islands under different environmental conditions, predict the impact of waves, tidal currents and sediment movement on the islands, and provide a theoretical basis and technical support for the optimal layout of the offshore islands. Before constructing a mathematical model of marine hydrodynamics-sediment transport, it is necessary to first determine the scope of the sea area and the current island status of the target offshore islands to provide conditions for building the model. The drone can obtain images of the islands, and combined with the scale, the current island status of the islands can be determined. After obtaining the measured state data of the target sea area, statistical analysis can be performed to identify the long-term change laws and seasonal characteristics of waves and tidal currents. For example, by analyzing data such as wave period, direction, wave height, tidal current speed, and flow direction, the basic characteristics of the marine hydrodynamic environment can be understood, providing data support for subsequent analysis. Finally, all the data are imported into the simulation software to generate a marine hydrodynamics-sediment transport mathematical model, which is 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 result, specifically:

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

[0072] Calculate the Euclidean distance between the dangerous state data and the measured state data of the target sea area, preset the standard Euclidean distance, and 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 the island states within the island state control range of the target offshore island group are respectively 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 with the dangerous status data of the target sea area is greater than the standard Euclidean distance are selected and marked as qualified status data, and the island status of the target offshore island group corresponding to the qualified status data is marked as qualified island status;

[0076] The target offshore island group in the target mathematical model is controlled to simulate operation 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 change the wave and current environment of the surrounding seas. The interference of different island states on the target sea area can be simulated through the sea area hydrodynamic-sediment transport mathematical model. First, determine the state data of all target sea areas that will harm the target offshore islands, and judge the similarity between the measured state data of the target sea area and the above data. Among them, the similarity can be calculated by the Euclidean distance method. The smaller the Euclidean distance, the higher the similarity. When the similarity between the two is high, it proves that the island state in the current situation will make the measured state data of the target sea area abnormal, causing damage to the target offshore islands. Because the size, shape, arrangement and other factors of the island have different effects on the distribution of tidal velocity, flow direction and eddy currents, the harm caused to the islands is also different. Therefore, it is necessary to regulate the island state of the target offshore islands to judge the impact of the target offshore islands under different island states on the state data of the target sea area. Select the state data to be analyzed whose Euclidean distance between the dangerous state data of the target sea area is greater than the standard Euclidean distance, calibrate it as qualified state data, and calibrate the corresponding island state and qualified island state.

[0078] Furthermore, in a preferred embodiment of the present invention, the target offshore islands in the target island state are subjected to real-time simulation of beach scouring and silting in the target mathematical model, and an optimal island group construction plan for the target offshore islands 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 all the island group coastlines of the target offshore island group, and simultaneously acquire the coastline status of all the island group coastlines of the target offshore island group, wherein the coastline status includes the coastline length and the coastline coverage;

[0081] Obtain all island group construction plans of the target offshore island group, wherein the island group construction plan includes the number, size, scope and type of buildings to be built 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 island group coastline of the target offshore island group are consistent, but the construction range of the buildings is different;

[0084] Run the target mathematical model to simulate the erosion and deposition of the shore in real time, calculate the coastline state of the island group coastline under the measured state data of the target sea area in real time, and calculate the erosion rate of the island group coastline by sea water 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, and calibrate it to the measured shore erosion rate;

[0085] The island group construction plan corresponding to the smallest measured shore 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 will affect the scouring and silting environment of the surrounding beaches. Changing the coastline morphology and seabed topography around the islands, or building buildings on the coastline of offshore islands can affect the tidal dynamics, waves and other hydrodynamic environments in the nearshore area. Different building construction plans have different impacts, that is, after the beach is scoured and silted, the speed of beach erosion is also different. It is necessary to select the island construction plan with the smallest beach erosion speed for output. In the target mathematical model, different island construction plans are used, and the speed of erosion of the island coastline by seawater after simulation operation under different island construction plans is judged. Based on the coastline state of the island coastline under the measured state data of the target sea area and the original coastline state of the island coastline, the erosion speed of the island coastline by seawater can be calculated, because the original coastline state is intact, and the state after the simulation operation is eroded. The erosion speed 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 state of the target island, 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 in the target mathematical model, and the impact toughness optimization of the target offshore island group is performed, specifically:

[0092] Through the big data network, the optimal island construction plan and the status of the target offshore islands are analyzed, and the types of all hydraulic structures suitable for the target offshore islands under current conditions are retrieved, marked as suitable hydraulic structure types, and the standard range of design parameters for suitable hydraulic structure types is retrieved;

[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 after implementing the different hydraulic structure combination schemes is run, 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 the island group and adding hydraulic structures, the island group anti-scour morphology toughness optimization layout technology can be formed, which can improve the anti-scour and anti-siltation capabilities of the offshore island group. Among them, hydraulic structures include but are not limited to caissons, pipe wells, revetment structures, etc., and the design parameters of hydraulic structures include but are not limited to size, material, strength, etc. Due to the various types of hydraulic structures, it is necessary to analyze the optimal island group construction plan and the target island status of the target offshore island group through a big data network, determine the appropriate type and design parameters, and provide conditions for obtaining a suitable combination of hydraulic structures, thereby improving the anti-scour toughness of the target offshore island group. Obtain different hydraulic structure combination schemes and act on the mathematical model to be analyzed respectively, and the anti-scour toughness can be calculated, wherein the anti-scour toughness includes improving the anti-scour capacity and anti-siltation capacity. The corresponding hydraulic structure combination scheme with a hydraulic structure combination scheme having an anti-scour toughness greater than the minimum anti-scour toughness is calibrated as a qualified hydraulic structure combination scheme and output.

[0097] Furthermore, in a preferred embodiment of the present invention, the model parameter refinement analysis 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, specifically:

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

[0099] Obtaining the scheme parameters of the target test scheme in the mathematical model to be analyzed, calibrating them as the 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 the 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, the 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 to perform random combination of the obtained model parameters during the normal distribution sampling process, so as 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 outputted, 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 optimized 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 optimized mathematical model.

[0103] It should be noted that if there is no qualified combination scheme of hydraulic structures, it proves that there may be problems with the combination scheme of hydraulic structures, or the mathematical model has incomplete execution of the scheme when executing the combination scheme of hydraulic structures, such as the inability to fully act on the parameters in the mathematical model, resulting in the parameters of the scheme being different from the parameters actually executed. First, the parameters of the mathematical model are analyzed. The Monte Carlo algorithm is introduced, and 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 proof scheme. When the fitness is lower than the preset value, the execution accuracy of the proof scheme is low, and the parameters of the model need to be optimized. The model parameters are sampled and randomly combined by the genetic algorithm, because the genetic algorithm can generate a new fitness function based on the combination and crossover of the parameters, so that the model's fitness for the scheme is increased, and multidimensional problems are successfully handled. After the standard number of iterations, the iterative calculation is stopped, and the optimized mathematical model is output. At this time, 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 are problems with the hydraulic structure combination scheme, and it is necessary to adjust the number and position of the hydraulic structures 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 group morphology design system based on optimization of anti-scouring and silting toughness, the offshore island group morphology design system comprises a memory 31 and a processor 32, the memory 31 stores an offshore island group morphology design method, and when the offshore island group morphology design method is executed by the processor 32, the following steps are implemented:

[0105] Collect the 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 build 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 in the target mathematical model, and generating an optimal island group construction plan for the target offshore islands based on the real-time simulation results 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 only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for designing offshore island morphology based on optimization of anti-scouring and anti-silting toughness, characterized in that: The following steps are involved: Collect the 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 build 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 in the target mathematical model, and generating an optimal island group construction plan for the target offshore islands based on the real-time simulation results of beach erosion and siltation; 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.

2. The offshore island group morphology design method based on optimization of anti-scouring and silting toughness according to claim 1 is characterized in that: The measured state data of the sea area where the offshore islands are located are collected, the measured state data of the sea area where the offshore islands are located are analyzed for characteristics, and a sea area hydrodynamic-sediment transport mathematical model is constructed based on the characteristic analysis results and calibrated as a target mathematical model, specifically: 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; Acquire an image recognition drone, control the image recognition drone to acquire images of the target offshore islands over the target offshore islands, obtain real-time images of the target offshore islands, perform image preprocessing and image feature extraction processing on the real-time images of the target offshore islands, and determine current terrain data of the target offshore islands 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; Determine 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 sensor for detecting sea area state data of the target sea area includes a wave state sensor, a sediment flow state sensor, and a tidal current state sensor; A sensor for detecting sea area state data of a target sea area is placed and operated in 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 a wave state, a sediment flow state, and a 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, so as to obtain 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.

3. According to the method for designing the morphology of offshore islands based on optimization of anti-scouring and anti-silting toughness as described in claim 1, it 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 result, specifically: Based on the historical data network, the status data of all target sea areas that may cause harm to the target offshore islands in the current island state are retrieved and marked as dangerous status data; Calculate the Euclidean distance between the dangerous state data and the measured state data of the target sea area, preset the standard Euclidean distance, and 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 the island states within the island state control range of the target offshore island group are respectively 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 with the dangerous status data of the target sea area is greater than the standard Euclidean distance are selected and marked as qualified status data, and the island status of the target offshore island group corresponding to the qualified status data is marked as qualified island status; The target offshore island group in the target mathematical model is controlled to simulate operation 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.

4. The offshore island group morphology design method based on optimization of anti-scouring and silting toughness according to claim 1 is characterized in that: The target offshore islands are subjected to real-time simulation of beach erosion and siltation in the target mathematical model, and the optimal island group construction plan for the target offshore islands is generated based on the real-time simulation results of beach erosion and siltation, 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 all the island group coastlines of the target offshore island group, and simultaneously acquire the coastline status of all the island group coastlines of the target offshore island group, wherein the coastline status includes the coastline length and the coastline coverage; Obtain all island group construction plans of the target offshore island group, wherein the island group construction plan includes the number, size, scope and type of buildings to be built on the target offshore island group; 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 island group coastline of the target offshore island group are consistent, but the construction range of the buildings is different; Run the target mathematical model to simulate the erosion and deposition of the shore in real time, calculate the coastline state of the island group coastline under the measured state data of the target sea area in real time, and calculate the erosion rate of the island group coastline by sea water 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, and calibrate it to the measured shore erosion rate; The island group construction plan corresponding to the smallest measured shore erosion rate is selected and calibrated as the optimal island group construction plan for the target offshore island group.

5. The offshore island group morphology design method based on optimization of anti-scouring and silting toughness according to claim 1 is characterized in that: The optimal island group construction plan of the target offshore island group is applied in the target mathematical model, and the impact toughness optimization of the target offshore island group is performed, 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; Through the big data network, the optimal island construction plan and the status of the target offshore islands are analyzed, and the types of all hydraulic structures suitable for the target offshore islands under current conditions are retrieved, marked as suitable hydraulic structure types, and the standard range of design parameters for suitable hydraulic structure types is retrieved; 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 after implementing the different hydraulic structure combination schemes is run, 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.

6. The offshore island group morphology design method based on optimization of anti-scouring and silting toughness according to claim 5 is characterized in that: The method comprises 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, which is specifically: The Monte Carlo algorithm is introduced into the mathematical model to be analyzed, and a combination scheme of hydraulic structures is randomly selected as a test scheme and calibrated as the target test scheme; Obtaining the scheme parameters of the target test scheme in the mathematical model to be analyzed, calibrating them as the 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 the 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, the 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 to perform random combination of the obtained model parameters during the normal distribution sampling process, so as 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 outputted, 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 optimized 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 optimized mathematical model.

7. An offshore island group morphology design system based on optimization of anti-scouring and silting toughness, characterized in that: The offshore island group morphology design system includes a memory and a processor, wherein the memory stores an offshore island group morphology design method program, and when the offshore island group morphology design method program is executed by the processor, the offshore island group morphology design method steps as described in any one of claims 1 to 6 are implemented: Collect the 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 build 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 in the target mathematical model, and generating an optimal island group construction plan for the target offshore islands based on the real-time simulation results of beach erosion and siltation; 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.

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