A method for optimizing structural parameters of a beach ecological restoration groove dam

Abstract

The present application relates to the field of coastal ecological restoration, and more particularly to a structural parameter optimization design method for a beach ecological restoration groove dam, comprising the following steps: obtaining hydrological, topographical, sediment, ecological and groove dam structure correlation data of the restoration area through a data interaction module, and constructing a multi-dimensional mapping table; based on the multi-dimensional mapping table, calling a preset water-sediment characteristics-structure constraint mapping library, screening groove dam layout and cross section parameters that meet the constraints through an improved A algorithm, calculating the total structure cost, and outputting an initial structure scheme; based on the initial structure scheme, inputting real-time load and water flow state of the groove dam section. The present application realizes the coupling of all factors of hydrology, sediment, topography, ecology and structure through a multi-dimensional mapping table, greatly improves the matching degree of structure parameters, avoids dam body instability and local scouring, and realizes multi-objective optimization through the improved A algorithm to achieve an optimal balance among wave dissipation, beach stabilization, silt promotion and ecological adaptation.

Description

Technical Field

[0001] This invention relates to the field of coastal ecological restoration, and in particular to a method for optimizing the structural parameters of a beach ecological restoration trench dam. Background Technology

[0002] The erosion of sandy coastlines, beach incision, wetland shrinkage, and benthic habitat fragmentation are becoming increasingly serious problems in my country. Ecological restoration trenches, as flexible nearshore structures that combine wave dissipation, siltation promotion, beach protection, and ecological habitat functions, have become a core technical means for beach ecological restoration. Current ecological restoration trench design generally suffers from shortcomings such as reliance on experience, simplification, and static approaches, mainly manifested in the following ways: The structural parameter design does not couple the multi-dimensional constraints of hydrodynamics, sediment movement, bank topography and ecological suitability. Parameters such as dam height, channel width, spacing, permeability and slope are only taken based on experience, which can easily lead to problems such as local scouring, sediment deposition imbalance and dam stress concentration instability. The response to dynamic environmental factors such as waves, tides, storm surges, and water level changes is lagging, and there is a lack of real-time monitoring and rapid optimization closed loop. Local eddies, backflows, and turbulent zones are easily formed, which exacerbates the damage to the beach surface. The layout and resource allocation of the channel dam did not coordinate with the priorities of engineering safety and ecology, resulting in problems such as insufficient protection in key sections, redundant resources in non-critical sections, and low overall restoration efficiency. The operation was unstable, the ecological restoration cycle was long, and it was difficult to meet the needs of high-standard beach ecological restoration.

[0003] Existing technologies lack a complete methodology encompassing multi-dimensional data fusion, multi-objective optimization algorithms, global scheduling, local dynamic optimization, priority configuration, and redundancy assurance. Therefore, it is necessary to design a structural parameter optimization method for beach ecological restoration trench dams to address these technological shortcomings.

[0004] Therefore, it is necessary to design a structural parameter optimization design method for beach ecological restoration trench dams. Summary of the Invention

[0005] To address the technical deficiencies in the background art, this invention proposes a structural parameter optimization design method for beach ecological restoration trench dams, which solves the aforementioned technical problems and meets practical needs. The specific technical solution is as follows: A method for optimizing the structural parameters of a beach ecological restoration trench dam includes the following steps: The data interaction module acquires hydrological, topographic, sediment, ecological, and dam structure correlation data of the restoration area, and constructs a multi-dimensional mapping table. Based on a multi-dimensional mapping table, the preset water and sediment characteristics-structural constraint mapping library is called, and the improved A algorithm is used to filter the channel dam layout and cross-sectional parameters that meet the constraints, calculate the total structural cost, and output the initial structural scheme. Based on the initial structural scheme, the real-time load and flow status of the dam section are input, and the regional dam allocation plan is output through the global dispatch center. Local hydraulic optimization is carried out in combination with multi-source monitoring data, and the optimized structural parameter table is output. Based on the structural parameter table, the ecological-engineering priority of the dam section is calculated, structural resources are allocated according to priority and hydraulic conflicts are handled, a backup dam section is configured, and the final structural optimization command is output.

[0006] Furthermore, after outputting the final structural optimization instructions, the process also includes: completing the layout of the channel dam, energy dissipation, siltation promotion, and placement of ecological substrates based on the final structural optimization instructions; performing restoration work after triple verification; triggering anomaly handling and regenerating the final structural optimization instructions when scouring, siltation, structural damage, or ecological anomalies are detected during the restoration process; evaluating the stability of the beach surface, siltation thickness, and ecological restoration degree after the restoration is completed, updating the data to the algorithm iteration database, and optimizing and improving the A algorithm and local hydraulic optimization parameters.

[0007] Furthermore, the construction of a multi-dimensional mapping table includes: connecting with marine monitoring, topographic mapping, ecological surveys, and engineering management systems to extract parameters such as wave height, current velocity, shore slope, sediment particle size, ecological indicators, dam height, channel width, spacing, and permeability; correcting dam location coordinates through RFID, UWB, drones, and underwater robots to confirm the topography and deployment space; collecting data on water temperature, salinity, turbidity, and bottom sediment status; and using dam section IDs as indexes to associate and bind ecological restoration data, dam location coordinates, and environmental data to generate a multi-dimensional mapping table.

[0008] Furthermore, the construction of the water and sediment characteristics-structural constraint mapping library includes: collecting parameters from all dimensions of water and sediment, topography, ecology, and structure to form a standardized dataset; extracting inherent and dynamic constraints based on hydrodynamic specifications, sediment patterns, structural safety, and ecological requirements to form a constraint rule library; establishing a unique mapping through multi-dimensional matching, and forming a mapping library with dam segment ID as the hash index; and verifying and updating the mapping library through numerical simulation and physical models.

[0009] Furthermore, the improved A algorithm outputs the initial structural scheme by: retrieving constraint parameters based on a multi-dimensional mapping table and filtering candidate layout schemes; extracting real-time tidal current, wave, and water level status to calculate cross-channel sediment transport time and energy dissipation efficiency; calculating the total cost of candidate schemes according to the total structural cost formula, and selecting the scheme with the minimum total cost as the initial structural scheme; the formula for calculating the total structural cost is as follows: In the formula: Total structural cost; For actual length, energy dissipation, and transport costs; For heuristic costs; These are the weighting coefficients.

[0010] Furthermore, the output area channel dam allocation plan includes: distributed regional nodes collecting flow velocity, scour depth, structural stress, load and CPU utilization, and feeding it back to the global scheduling center; when the node computing power is overloaded, non-core tasks are screened and migrated to low-load nodes; and the task allocation status of each area is integrated to generate an area channel dam allocation plan containing the number, type and deployment sequence of dam sections.

[0011] Furthermore, local hydraulic optimization includes: collecting data on water level, flow velocity, wave height, topography, and obstacles to generate multi-source monitoring data and constructing a dynamic hydrodynamic map; collision detection to identify risks of eddies, backflow, scouring, and siltation; when the adjustment distance is less than a preset value, using a dynamic window method combined with reinforcement learning to adjust dam height, permeability, channel width, and spacing; when the adjustment distance is greater than a preset value, triggering incremental replanning to generate an optimized dam section layout list; and outputting a structural parameter table containing optimization parameters, energy dissipation rate, and siltation volume.

[0012] Furthermore, the formula for calculating the eco-engineering priority is as follows: In the formula: P represents priority; Emergency coefficient for beach protection; Ecological sensitivity coefficient; To mitigate the risk factor.

[0013] Furthermore, the final structural optimization instructions include: allocating structural resources from high to low priority and outputting a preliminary resource allocation scheme; allowing low-priority dam sections to avoid high-priority dam sections to eliminate hydraulic conflicts and update the resource allocation scheme; binding backup dam sections to high-priority critical dam sections and outputting a redundancy configuration table; and integrating the preliminary scheme, structural parameter table, and redundancy configuration table to generate the final structural optimization instructions.

[0014] Compared with existing technologies, the structural parameter optimization design method for beach ecological restoration trench dams provided by this invention has the following beneficial effects: This invention achieves full coupling of hydrological, sediment, topographic, ecological, and structural elements through a multi-dimensional mapping table, significantly improving the matching degree of structural parameters and avoiding dam instability and local scour. The improved A algorithm achieves multi-objective optimization, achieving the optimal balance between wave dissipation, beach stabilization, siltation promotion, and ecological adaptation. Distributed global scheduling balances computing power and structural resources, avoiding local overload and redundancy, and improving overall repair efficiency. Multi-source monitoring and local hydraulic optimization enable dynamic response, quickly adapting to complex working conditions such as waves, tides, and storm surges. Attached Figure Description

[0015] Figure 1 This is a flowchart of a structural parameter optimization design method for a beach ecological restoration trench dam according to the present invention. Detailed Implementation

[0016] In the description of this invention, it should be understood that the terms "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "middle," and "inner," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this invention, it should be noted that unless otherwise explicitly specified and limited, the terms "installed," "connected," and "joined" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention through specific circumstances.

[0017] The embodiments of the present invention will be described below with reference to the accompanying drawings and related examples. The embodiments of the present invention are not limited to the following examples, and the present invention relates to the relevant necessary components in this technical field, which should be regarded as well-known technology in this technical field and can be known and mastered by those skilled in this technical field.

[0018] See Figure 1 A method for optimizing the structural parameters of a beach ecological restoration trench dam includes the following steps: S100. Obtain hydrological, topographical, sediment, ecological, and channel dam structure correlation data of the restoration area through the data interaction module, and construct a multi-dimensional mapping table; S200. Based on the multi-dimensional mapping table, call the preset water and sediment characteristics-structural constraint mapping library, use the improved A algorithm to screen channel dam layouts and cross-sectional parameters that meet the constraints, calculate the total structural cost, and output the initial structural scheme; S300. Based on the initial structural scheme, input the real-time load and flow status of the channel dam section, output the regional channel dam allocation plan through the global scheduling center, perform local hydraulic optimization in combination with multi-source monitoring data, and output the optimized structural parameter table; S400. Based on the structural parameter table, calculate the ecological-engineering priority of the channel dam section, allocate structural resources according to priority and handle hydraulic conflicts, configure backup dam sections, and output the final structural optimization instruction.

[0019] Furthermore, after outputting the final structural optimization instruction, the process also includes: S500, based on the final structural optimization instruction, completing the layout, energy dissipation, siltation promotion, and ecological substrate placement according to the dam structural parameters, and executing the restoration operation after triple verification; S600, during the restoration operation, if scouring, siltation, structural damage, or abnormal ecological indicators are detected, triggering the anomaly handling process and regenerating a new final structural optimization instruction; S700, after the restoration operation is completed, assessing the beach stability, siltation thickness, and ecological restoration degree, simultaneously updating topographic and ecological data, recording the entire process data to the algorithm iteration database, and optimizing and improving the A algorithm and local hydraulic optimization parameters based on the algorithm iteration database.

[0020] Step S100: Construct a multi-dimensional mapping table The specific process is as follows: S101. Through the data interaction module, connect with the marine environmental monitoring system, nearshore topographic mapping system, ecological survey system, and engineering management system to obtain hydrological data, topographic data, sediment data, ecological data, and basic data of the channel dam structure. Extract wave height, period, flow velocity, flow direction, tidal level, shore slope, beach width, median sediment particle size, settling velocity, target vegetation type, benthic organism suitability, dam height, dam length, dam spacing, channel width, permeability, dam slope, and material strength to generate ecological restoration-related data; S102. Read the preset dam site basic coordinates through RFID tags, combined with U The WB positioning module, UAV aerial survey, and underwater robot detection are used for coordinate correction. The physical existence of the shoreline topography and dam layout space is confirmed by underwater cameras and multibeam echo sounders, generating three-dimensional coordinates of the dam location. S103: Nearshore water environment and bottom sediment status are collected at set frequencies by water temperature sensors, salinity sensors, turbidity sensors, and bottom sediment sensors to generate ecological restoration environmental correlation data. S104: The ecological restoration correlation data, dam location three-dimensional coordinates, and environmental correlation data are linked and bound according to the set structure through the correlation unit of the data interaction module, and a multi-dimensional mapping table is generated with the dam section ID as the unique index.

[0021] Step S200: Output the initial structure scheme based on the improved A* algorithm First, a water-sediment characteristic-structural constraint mapping library is constructed, with the following process: S201, By connecting with marine monitoring systems, topographic mapping systems, ecological survey systems, and the construction and testing process of channel dams, core characteristic parameters of water, sediment, topography, ecology, and structure under all working conditions are collected to form a standardized dataset; S202, Based on nearshore hydrodynamic specifications, sediment transport laws, structural safety standards, and ecological protection requirements, inherent and dynamic constraint parameters of all channel dam layout areas are extracted to form a quantifiable constraint rule library; S203, Through a multi-dimensional matching algorithm, a unique mapping relationship is established between the standardized dataset and the constraint rule library to form structured mapping entries, and a water-sediment characteristic-structural constraint mapping library with dam segment ID as the hash index is established; S204, Based on the water-sediment characteristic-structural constraint mapping library, simulation verification is performed through numerical simulation and physical models, and the mapping library is updated based on the verification results.

[0022] The steps for outputting the initial structural scheme using the improved A algorithm are as follows: S205. Based on the multi-dimensional mapping table, retrieve the corresponding constraint parameters from the water and sediment characteristics-structural constraint mapping library, and select candidate layout schemes that meet the requirements of hydrodynamic safety, smooth sediment transport, and sufficient ecological space; S206. Based on the multi-dimensional mapping table, extract the real-time status of tidal currents, waves, and water levels, and calculate the cross-channel sediment transport time and energy dissipation efficiency; S207. Based on the improved A algorithm, combine the cross-channel sediment transport time and energy dissipation efficiency, calculate the estimated total cost of the candidate schemes using the total structural cost calculation formula, and select the scheme with the minimum estimated total cost as the initial structural scheme.

[0023] Formula for calculating total structural cost: In the formula: The total structural cost from the initial dam section through the current dam section n to the target dam section; Actual structural length cost; Actual hydraulic energy dissipation cost; Actual sediment transport cost; Heuristic structural length cost; Heuristic hydraulic energy dissipation cost; Heuristic sediment transport costs; : Length cost weight; Energy consumption cost weighting; : Transfer cost weight.

[0024] Step S300: Global Scheduling and Local Hydraulic Optimization Output area channel dam allocation plan process: S301, Real-time collection of flow velocity, scour depth, structural stress, and load status of each channel dam section through several distributed area scheduling nodes, and monitoring of node CPU utilization, generating load data and feeding it back to the global scheduling center in real time; S302, When the CPU utilization of a distributed area scheduling node exceeds a preset value, it is determined to be computing power overload, the current task list of the node is extracted, and non-core computing tasks are filtered; S303, The global scheduling center filters low-load nodes and migrates non-core tasks to low-load nodes through industrial Ethernet; S304, After the task migration is completed, the task allocation status of each area is integrated to generate an area channel dam allocation plan including the number of dam sections, structural type, and deployment sequence.

[0025] Local hydraulic optimization process: S305. Collect data on water level, flow velocity, wave height, topography, obstacles, and floating objects to generate multi-source monitoring data and form a dynamic hydrodynamic map through local path planning units; S306. Based on the regional channel dam allocation plan and the dynamic hydrodynamic map, perform overlay analysis through a collision detection module to identify risks of eddy currents, backflows, scouring, and siltation; S307. If a risk exists and the adjustment distance is less than the preset value, use a dynamic window method combined with reinforcement learning to adjust the dam height, permeability, channel width, and spacing, and output optimized structural parameters; S308. If the adjustment distance is greater than the preset value, feed back the obstacle location and flow parameters to the global scheduling center to trigger incremental replanning and form an optimized dam section layout list; S309. Integrate the optimized parameters and layout list to generate a structural parameter table containing optimized structural parameters, energy dissipation rate, and expected siltation volume.

[0026] Step S400: Priority Calculation and Final Structural Optimization Instructions Eco-Engineering Priority Calculation Formula: In the formula: P: Priority value, the larger the value, the higher the priority; Emergency coefficient for beach protection; Ecological sensitivity coefficient; To mitigate the risk factor.

[0027] The final structural optimization instruction output process is as follows: S401. Allocate high-quality resources to each dam section according to priority from high to low, and output a preliminary resource allocation plan; S402. Compare the optimized paths of all dam sections. If there are hydraulic conflicts and spatial overlaps between low-priority dam sections and high-priority dam sections, schedule the low-priority dam sections to avoid them, and output an updated plan; S403. Bind backup dam sections to key dam sections with priorities higher than preset values, and output a redundancy configuration table; S404. Integrate the preliminary plan, structural parameter table, and redundancy configuration table to generate a structured final structural optimization instruction.

[0028] The above description is only a preferred embodiment of the present invention. It should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for optimizing the structural parameters of a beach ecological restoration trench dam, characterized in that, Includes the following steps: The data interaction module acquires hydrological, topographic, sediment, ecological, and dam structure correlation data of the restoration area, and constructs a multi-dimensional mapping table. Based on a multi-dimensional mapping table, the preset water and sediment characteristics-structural constraint mapping library is called, and the improved A algorithm is used to filter the channel dam layout and cross-sectional parameters that meet the constraints, calculate the total structural cost, and output the initial structural scheme. Based on the initial structural scheme, the real-time load and flow status of the dam section are input, and the regional dam allocation plan is output through the global dispatch center. Local hydraulic optimization is carried out in combination with multi-source monitoring data, and the optimized structural parameter table is output. Based on the structural parameter table, the ecological-engineering priority of the dam section is calculated, structural resources are allocated according to priority and hydraulic conflicts are handled, a backup dam section is configured, and the final structural optimization command is output.

2. The method for optimizing the structural parameters of a beach ecological restoration trench dam according to claim 1, characterized in that, After outputting the final structural optimization instructions, the process also includes: completing the layout of the channel dam, energy dissipation, siltation promotion, and ecological substrate placement based on the final structural optimization instructions; performing restoration work after triple verification; triggering anomaly handling and regenerating the final structural optimization instructions when scouring, siltation, structural damage, or ecological anomalies are detected during the restoration process; evaluating the stability of the beach surface, siltation thickness, and ecological restoration degree after the restoration is completed, updating the data to the algorithm iteration database, and optimizing and improving the A algorithm and local hydraulic optimization parameters.

3. The method for optimizing the structural parameters of a beach ecological restoration trench dam according to claim 1, characterized in that, The construction of a multi-dimensional mapping table includes: connecting with marine monitoring, topographic mapping, ecological surveys, and engineering management systems to extract parameters such as wave height, current velocity, shore slope, sediment particle size, ecological indicators, dam height, channel width, spacing, and permeability; correcting dam location coordinates through RFID, UWB, drones, and underwater robots to confirm the topography and deployment space; collecting data on water temperature, salinity, turbidity, and bottom sediment status; and using dam section IDs as indexes to associate and bind ecological restoration data, dam location coordinates, and environmental data to generate a multi-dimensional mapping table.

4. The method for optimizing the structural parameters of a beach ecological restoration trench dam according to claim 1, characterized in that, The construction of the water and sediment characteristics-structural constraint mapping library includes: collecting parameters from all dimensions of water and sediment, topography, ecology, and structure to form a standardized dataset; extracting inherent and dynamic constraints based on hydrodynamic specifications, sediment patterns, structural safety, and ecological requirements to form a constraint rule library; establishing a unique mapping through multi-dimensional matching, and forming a mapping library with dam segment ID as the hash index; and verifying and updating the mapping library through numerical simulation and physical model.

5. The method for optimizing the structural parameters of a beach ecological restoration trench dam according to claim 1, characterized in that, The improved A algorithm outputs the initial structural scheme as follows: constraint parameters are retrieved based on a multi-dimensional mapping table to screen candidate layout schemes; real-time tidal current, wave, and water level status are extracted to calculate cross-channel sediment transport time and energy dissipation efficiency; the total cost of candidate schemes is calculated according to the total structural cost formula, and the scheme with the minimum total cost is selected as the initial structural scheme; the formula for calculating the total structural cost is as follows: In the formula: Total structural cost; For actual length, energy dissipation, and transport costs; For heuristic costs; These are the weighting coefficients.

6. The method for optimizing the structural parameters of a beach ecological restoration trench dam according to claim 1, characterized in that, The output area channel dam allocation plan includes: distributed regional nodes collecting flow velocity, scour depth, structural stress, load and CPU utilization, and feeding it back to the global scheduling center; when the node computing power is overloaded, non-core tasks are screened and migrated to low-load nodes; and the task allocation status of each area is integrated to generate an area channel dam allocation plan containing the number, type and deployment sequence of dam sections.

7. The method for optimizing the structural parameters of a beach ecological restoration trench dam according to claim 1, characterized in that, Local hydraulic optimization includes: collecting data on water level, flow velocity, wave height, topography, and obstacles to generate multi-source monitoring data and constructing a dynamic hydrodynamic map; collision detection to identify risks of eddies, backflow, scouring, and siltation; when the adjustment distance is less than the preset value, using a dynamic window method combined with reinforcement learning to adjust dam height, permeability, channel width, and spacing; when the adjustment distance is greater than the preset value, triggering incremental replanning to generate an optimized dam section layout list; and outputting a structural parameter table containing optimization parameters, energy dissipation rate, and siltation volume.

8. The method for optimizing the structural parameters of a beach ecological restoration trench dam according to claim 1, characterized in that, Eco-Engineering Priority Calculation Formula: In the formula: P represents priority; Emergency coefficient for beach protection; Ecological sensitivity coefficient; To mitigate the risk factor.

9. The method for optimizing the structural parameters of a beach ecological restoration trench dam according to claim 8, characterized in that, The final structural optimization instructions include: allocating structural resources from high to low priority and outputting a preliminary resource allocation plan; allowing low-priority dam sections to avoid high-priority dam sections to eliminate hydraulic conflicts and updating the resource allocation plan; binding backup dam sections to high-priority critical dam sections and outputting a redundancy configuration table; and integrating the preliminary plan, structural parameter table, and redundancy configuration table to generate the final structural optimization instructions.

Images