Anchoring system and method for a sea current energy platform

Abstract

The application relates to the technical field of ocean engineering, and discloses an anchoring system and method for a sea current energy power generation platform, which comprises the following steps: acquiring seabed topographic data, analyzing the bearing capacity of an anchoring point and formulating topological rules, analyzing the layout of a high-molecular cable, detecting real-time stress based on tensile strength, then calculating the sea current interference value of a float and a lying ground chain, constructing a float positioning process, then dividing an anchoring task block, analyzing a fluid fluctuation sequence and calculating a load coefficient, determining a tidal time window, further monitoring surge disturbance, constructing a failure avoidance path and identifying a key buffer node, and finally forming an anchoring optimization scheme. The application can realize large-scale and engineering development of sea current energy power generation.

Description

Technical Field

[0001] This invention relates to the field of marine engineering technology, and more particularly to an anchoring system and method for an ocean current power generation platform. Background Technology

[0002] Ocean current power generation platforms are green energy devices that utilize the kinetic energy of ocean currents to generate electricity. Their anchoring system is the core structure that ensures the stable operation of the platform and must withstand dynamic loads in complex marine environments. Traditional anchoring methods mostly use gravity anchors, pile anchors, or towed anchor chains, relying on a single fixed point or rigid connection.

[0003] Existing anchoring technologies mainly rely on traditional gravity anchors or towed anchors, but they have the following drawbacks: First, uneven seabed surfaces result in insufficient anchor claw gripping force, making slippage easy; second, geological differences (such as the Penghu igneous rocks and the Qiongzhou fault zone) lead to poor anchoring adaptability; third, the lack of multi-level mooring schemes makes it difficult to support long-term operation of engineering vessels and deployment of three-dimensional power generation arrays. In addition, existing systems do not integrate ocean current dynamic loads and geological data, resulting in poor current resistance stability and high operation and maintenance costs. Therefore, a new type of anchoring system and method for ocean current power generation platforms is needed to realize the large-scale, engineering-based development of ocean current power generation. Summary of the Invention

[0004] This invention provides an anchoring system and method for an ocean current energy power generation platform, the main purpose of which is to realize the large-scale, engineering-based development of ocean current energy power generation.

[0005] To achieve the above objectives, the present invention provides an anchoring system and method for an ocean current power generation platform, comprising: a rule formulation module, a data monitoring module, a process construction module, a time window module, and a scheme formulation module;

[0006] The rule-making module is used to acquire seabed topography data corresponding to the target sea area, query the anchorage distribution points in the seabed topography data, analyze the bearing capacity of the points corresponding to the anchorage distribution points, and formulate anchorage topology rules corresponding to the anchorage distribution points based on the bearing capacity of the points.

[0007] The data monitoring module is used to analyze the cable layout corresponding to the polymer cable in the preset anchoring system based on the dynamic anchoring rules, query the tensile strength threshold corresponding to the polymer cable based on the cable layout, and detect the real-time stress data corresponding to each cable segment in the polymer cable based on the tensile strength threshold.

[0008] The process construction module is used to calculate the current interference value between the buoy and the ground chain in the pre-set anchoring system during deployment based on the real-time stress data, and to construct the positioning process corresponding to the buoy and the three-eye board in the pre-set anchoring system based on the current interference value.

[0009] The time window module is used to perform topological segmentation of the positioning process to obtain anchoring task blocks, analyze the fluid fluctuation sequence corresponding to the anchoring task block, calculate the fluid load coefficient corresponding to the fluid fluctuation sequence, and construct the tidal time window corresponding to the anchoring task block based on the fluid load coefficient.

[0010] The scheme formulation module is used to monitor the surge disturbance state corresponding to the tidal time window, construct the failure avoidance path of the anchoring system under dynamic sea conditions based on the surge disturbance state, identify the key buffer nodes corresponding to the failure avoidance path, and formulate the anchoring optimization scheme corresponding to the ocean current power generation platform in the target sea area based on the key buffer nodes.

[0011] Optionally, the step of formulating anchorage topology rules corresponding to the anchorage distribution points based on the bearing capacity of the points includes:

[0012] Query the geological strength index in the bearing capacity of the specified location;

[0013] Based on the geological strength index, the bearing capacity relationship between adjacent anchorage points is determined;

[0014] Based on the load-bearing relationship, the distribution levels of the anchorage distribution points are divided;

[0015] Mark the key anchoring nodes corresponding to each layer of the distribution hierarchy;

[0016] Based on the key anchoring nodes, anchoring topology rules corresponding to the anchoring distribution points are formulated.

[0017] Optionally, the step of analyzing the cable layout corresponding to the polymer cable in the preset anchoring system based on the dynamic anchoring rules includes:

[0018] Analyze the anchoring constraints in the dynamic anchoring rules;

[0019] Based on the anchoring constraint conditions, extract the coordinates of the connection nodes corresponding to the polymer cable;

[0020] Based on the coordinates of the connection nodes, the cable connection path corresponding to the polymer cable is determined;

[0021] Generate the cable segment sequence corresponding to the cable connection path;

[0022] Based on the cable segment sequence, the cable layout corresponding to the polymer cable in the preset anchoring system is analyzed.

[0023] Optionally, the step of detecting real-time stress data corresponding to each cable segment in the polymer cable based on the tensile strength threshold includes:

[0024] Obtain the segment topology information corresponding to each cable segment in the polymer cable;

[0025] Based on the segmented topology information, deploy stress sensor groups corresponding to each cable segment;

[0026] Collect dynamic strain data returned by the stress sensor group;

[0027] The dynamic strain signal is compared with the tensile strength threshold in real time to obtain a real-time comparison sequence;

[0028] Based on the real-time comparison sequence, the real-time stress data corresponding to each cable segment in the polymer cable is detected.

[0029] Optionally, the step of calculating the current interference value between the buoy and the ground-lying chain in the anchoring system during deployment, based on the real-time stress data, includes:

[0030] Calculate the current interference value between the buoy and the ground chain in the pre-set anchoring system during deployment.

[0031] Optionally, the step of constructing a preset positioning process for the buoy and the three-eyed board in the anchoring system based on the ocean current interference value includes:

[0032] Analyze the significant interference intervals corresponding to the aforementioned ocean current interferometry values;

[0033] Query the high interference points associated with the significant interference interval;

[0034] Based on the high interference points, locate the dense interference areas corresponding to the float and the three-eye plate in the preset anchoring system;

[0035] Query the regional deployment rules in the densely interfering region;

[0036] Based on the aforementioned regional deployment rules, a pre-defined positioning process is constructed for the buoy and the three-eye plate in the anchoring system.

[0037] Optionally, the step of performing topological segmentation on the positioning process to obtain an anchoring task block includes:

[0038] Query the positional distribution of the float and the three-eye plate in the positioning process;

[0039] Based on the location distribution, identify the topological connection points in the positioning process;

[0040] Based on the topological connection points, the initial task units corresponding to the positioning process are divided;

[0041] Analyze the task attributes corresponding to the preliminary task unit;

[0042] Based on the task attributes, the positioning process is topologically segmented to obtain the anchoring task block.

[0043] Optionally, calculating the fluid load coefficient corresponding to the fluid fluctuation sequence includes:

[0044] Calculate the fluid load coefficient corresponding to the fluid fluctuation sequence.

[0045] Optionally, constructing the failure avoidance path of the anchoring system under dynamic sea conditions based on the surge disturbance state includes:

[0046] Query the risk factor identifier corresponding to the surge disturbance state;

[0047] Based on the risk factor identifier, filter the set of anchor point locations in the anchoring system;

[0048] Establish the avoidance connection path corresponding to the set of anchor points;

[0049] Traverse the sequence of path segments in the bypassed connection path;

[0050] Based on the path segment sequence, a failure avoidance path for the anchoring system under dynamic sea conditions is constructed.

[0051] Optionally, to solve the above problems, the present invention provides an anchoring method for an ocean current power generation platform, the method comprising:

[0052] Obtain seabed topography data corresponding to the target sea area, query the anchorage distribution points in the seabed topography data, analyze the bearing capacity of the points corresponding to the anchorage distribution points, and formulate the anchorage topology rules corresponding to the anchorage distribution points based on the bearing capacity of the points.

[0053] Based on the dynamic anchoring rules, the cable layout corresponding to the polymer cable in the preset anchoring system is analyzed. Based on the cable layout, the tensile strength threshold corresponding to the polymer cable is queried. Based on the tensile strength threshold, the real-time stress data corresponding to each cable segment in the polymer cable is detected.

[0054] Based on the real-time stress data, the current interference value between the buoy and the ground chain in the pre-set anchoring system during deployment is calculated. Based on the current interference value, the positioning process corresponding to the buoy and the three-eye board in the pre-set anchoring system is constructed.

[0055] The positioning process is topologically divided into blocks to obtain anchoring task blocks. The fluid fluctuation sequence corresponding to the anchoring task block is analyzed, the fluid load coefficient corresponding to the fluid fluctuation sequence is calculated, and the tidal time window corresponding to the anchoring task block is constructed based on the fluid load coefficient.

[0056] Monitor the surge disturbance state corresponding to the tidal time window, construct the failure avoidance path of the anchoring system under dynamic sea conditions based on the surge disturbance state, identify the key buffer nodes corresponding to the failure avoidance path, and formulate the anchoring optimization scheme corresponding to the ocean current power generation platform in the target sea area based on the key buffer nodes.

[0057] First, this invention acquires seabed topography data corresponding to the target sea area, enabling precise identification of suitable anchoring points and avoiding insufficient anchor claw gripping force caused by uneven terrain. It can analyze the bearing capacity of the points, providing a basis for formulating scientific anchoring topology rules, improving the adaptability of the anchoring system to complex seabed environments, and ensuring the stable deployment of the ocean current power generation platform from the source. Next, based on the dynamic anchoring rules, this invention analyzes the cable layout corresponding to the polymer cables in the preset anchoring system. It can optimize the cable connection method and spatial orientation according to the bearing characteristics of the points and topological logic, ensuring that the cable layout is adapted to the seabed topography, geological conditions, and ocean current load distribution. This ensures balanced stress on each cable segment under ocean current impact, improving the dynamic load resistance and long-term operational reliability of the anchoring system from a structural design perspective. Finally, based on the real-time stress data, this invention calculates the ocean current interference value between the buoys and the ground-lying chains in the preset anchoring system during deployment. This can accurately quantify the degree of mutual influence between the two under ocean current action, helping to predict the dynamics of the anchoring system under complex sea conditions. In response, this invention provides data support to ensure the positioning accuracy of the buoy and enhance the stability of the ground-lying chain anchoring, thereby improving the overall current resistance and operational reliability of the anchoring system. Furthermore, by topologically dividing the positioning process into blocks, this invention obtains anchoring task blocks, breaking down the complex positioning work into clear and independent task units, reducing the overall implementation difficulty. This facilitates precise resource allocation, allowing for the rational allocation of manpower and equipment based on the needs of each task block, improving resource utilization efficiency, and achieving streamlined and standardized operations. This helps to efficiently advance the anchoring system positioning, ensuring the accurate and stable deployment of the buoy and the three-eye plate. Finally, by monitoring the surge disturbance state corresponding to the tidal time window, this invention can dynamically grasp the actual changes in the fluid environment within the window, promptly detect unexpected surge interference, ensure the safe and planned progress of the anchoring task, provide a basis for parameter fine-tuning and emergency response during task execution, avoid structural damage caused by sudden surges, continuously optimize the accuracy of subsequent tidal time windows, and improve the reliability and stability of the anchoring system construction. Therefore, the anchoring system and method for an ocean current power generation platform proposed in this invention can realize the large-scale, engineering-based development of ocean current power generation. Attached Figure Description

[0058] Figure 1 A schematic diagram of the anchoring system for an ocean current power generation platform provided in an embodiment of the present invention;

[0059] Figure 2A schematic diagram of the structure of an anchoring system for an ocean current power generation platform according to an embodiment of the present invention;

[0060] Figure 3 This is a schematic diagram of a module for implementing an anchoring system for an ocean current power generation platform, provided as an embodiment of the present invention.

[0061] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0062] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0063] Furthermore, the timing of the steps in the following method embodiments is merely an example and not a strict limitation.

[0064] In practice, the server-side equipment deployed in an anchoring system and method for an ocean current power generation platform may consist of one or more devices. The aforementioned anchoring system and method for an ocean current power generation platform can be implemented as: a business instance, a virtual machine, or hardware devices. For example, the anchoring system and method for an ocean current power generation platform can be implemented as a business instance deployed on one or more devices in a cloud node. Simply put, the anchoring system and method for an ocean current power generation platform can be understood as software deployed on a cloud node, used to provide an online monitoring service for the ocean current power generation platform to various user terminals. Alternatively, the anchoring system and method for an ocean current power generation platform can also be implemented as a virtual machine deployed on one or more devices in a cloud node. This virtual machine contains application software for managing various user terminals. Alternatively, the anchoring system and method for an ocean current power generation platform can also be implemented as a server composed of numerous identical or different types of hardware devices, with one or more hardware devices configured to provide an online monitoring service for the ocean current power generation platform to various user terminals.

[0065] In terms of implementation, the anchoring system and method for an ocean current power generation platform are mutually compatible with the user terminal. That is, if the anchoring system and method for an ocean current power generation platform is implemented as an application installed on a cloud service platform, then the user terminal is implemented as a client that establishes a communication connection with the application; or if the anchoring system and method for an ocean current power generation platform is implemented as a website, then the user terminal is implemented as a webpage; or if the anchoring system and method for an ocean current power generation platform is implemented as a cloud service platform, then the user terminal is implemented as a mini-program in an instant messaging application.

[0066] Reference Figure 1 The diagram shown is a functional block diagram of an anchoring system and method for an ocean current energy power generation platform according to an embodiment of the present invention.

[0067] The anchoring system and method 100 for an ocean current energy power generation platform described in this invention can be set up in a cloud server. In terms of implementation, it can be used as one or more service devices, or as an application installed in the cloud (e.g., a server for online monitoring of drinking water quality, a server cluster, etc.), or it can be developed into a website. Depending on the functions implemented, the anchoring system and method 100 for an ocean current energy power generation platform includes a rule-making module 101, a data monitoring module 102, a process construction module 103, a time window module 104, and a scheme formulation module 105.

[0068] In this embodiment of the invention, during the tracking of an anchoring system and method for an ocean current power generation platform, each of the above modules can be implemented independently and called upon other modules. This calling can be understood as a module connecting to multiple modules of another type and providing corresponding services to those connected modules. In the anchoring system and method for an ocean current power generation platform provided by this embodiment of the invention, the applicability of an ocean current power generation platform architecture can be adjusted by adding modules and directly calling them without modifying the program code, achieving cluster-based horizontal expansion. This allows for quick and flexible expansion of the anchoring system and method for an ocean current power generation platform. In practical applications, the above modules can be set in the same device or different devices, or they can be set in a virtual device, such as a service instance in a cloud server.

[0069] The following describes, with reference to specific embodiments, each component and specific workflow of an anchoring system and method for an ocean current power generation platform.

[0070] The rule-making module 101 is used to acquire seabed topography data corresponding to the target sea area, query the anchorage distribution points in the seabed topography data, analyze the bearing capacity of the points corresponding to the anchorage distribution points, and formulate anchorage topology rules corresponding to the anchorage distribution points based on the bearing capacity of the points.

[0071] This invention acquires seabed topographic data corresponding to the target sea area, which can accurately identify suitable anchoring points, avoid the problem of insufficient anchor claw gripping force caused by uneven terrain, analyze the bearing capacity of the points, provide a basis for formulating scientific anchoring topology rules, improve the adaptability of the anchoring system to complex seabed environments, and ensure the stable deployment of ocean current power generation platforms from the source.

[0072] The target sea area refers to a specific marine region where an ocean current power generation platform is planned to be deployed. Its scope is determined based on the project scale and requirements, ranging from a small bay to an entire sea area. For example, in developing an ocean current power generation project near the Zhoushan Islands, the target sea area is a 30-square-kilometer area surrounding the islands with an average water depth of about 50 meters and an ocean current velocity between 1.5 and 2.5 m / s. This area has abundant ocean current energy resources and is suitable for the construction and operation of the power generation platform. The seabed topography data refers to information on the seabed morphology and geological structure of the target sea area. The digital records cover seabed slope, landform type, bedrock distribution, etc. For example, seabed topographic data in a certain area of ​​the Bohai Strait shows that there are slopes with a gradient of 10°-15° in this area, and some areas have igneous bedrock with a compressive strength of up to 80MPa. This data provides an important reference for subsequent analysis of the bearing capacity of anchoring points and planning the layout of anchoring systems, and helps to determine whether different areas are suitable for anchoring operations. Optionally, the acquisition of seabed topographic data corresponding to the target sea area can be achieved by a multibeam echo sounder, such as using a Kongsberg EM 124 multibeam echo sounder to scan the seabed topography and obtain seabed topographic data.

[0073] Furthermore, by querying the anchorage distribution points in the seabed topography data and analyzing the bearing capacity of the corresponding points, this invention can accurately locate suitable areas for anchorage points, avoiding unreasonable anchorage layouts due to complex seabed topography. This fundamentally ensures the stability of the anchorage system, clearly understands the bearing capacity of each point, significantly improves the reliability and safety of the anchorage system, and effectively avoids the risk of anchorage failure caused by insufficient bearing capacity at the points.

[0074] The anchorage distribution points refer to the specific locations suitable for arranging anchorage facilities for the ocean current power generation platform, selected through comprehensive evaluation based on seabed topographic data of the target sea area. These locations must comprehensively consider factors such as seabed topography and geological conditions. For example, in a certain ocean current power generation project, by analyzing seabed topographic data, three anchorage distribution points with a spacing of approximately 80 meters were determined in an area with an average water depth of 40 meters and relatively flat terrain, providing precise location references for the subsequent construction of the anchorage system. The bearing capacity of the anchorage distribution points refers to their ability to withstand the loads transmitted by the anchorage facilities and the ocean current power generation platform, which is closely related to the seabed geological type. For example, in a certain sea area of ​​the South my country Sea, an anchorage distribution point on a sandy seabed was found to have an internal friction angle of 35° and a cohesion of 8 kPa. Based on relevant formulas, the bearing capacity of the anchorage distribution points is... The calculated bearing capacity at this location is approximately 120 kN per square meter. This data provides a crucial basis for selecting appropriate anchorage specifications and planning anchoring schemes, ensuring the stability of the anchoring system. Optionally, the query of anchorage distribution points in the seabed topographic data can be achieved through spatial clustering analysis methods, such as using the DBSCAN algorithm to perform density clustering on the seabed topographic elevation data to obtain the anchorage distribution points. The analysis of the bearing capacity corresponding to the anchorage distribution points can be achieved through finite element simulation methods, such as using ABAQUS software to establish a soil-anchorage interaction model for mechanical calculations to obtain the bearing capacity at the point.

[0075] Furthermore, based on the bearing capacity of the aforementioned points, this invention formulates anchoring topology rules corresponding to the anchoring distribution points. It can scientifically plan the anchoring point layout and connection method according to the bearing capacity of different points, so that the anchoring system forms a reasonable load transfer path, which can give full play to the bearing efficiency of each anchoring point, enhance the overall stability and dynamic load resistance of the anchoring system, and provide structural protection for the stable operation of the ocean current power generation platform in complex marine environments.

[0076] The anchoring topology rules refer to the design guidelines for the connection method, layout, and load transfer path of anchoring points, based on the key anchoring nodes and the load-bearing characteristics of each point. For example, it is stipulated that in a certain sea area, with the key anchoring node as the core, other points are connected radially, and the included angle of the anchor chains between each point is controlled between 60° and 120° to ensure that the load generated by the ocean current can be evenly distributed to each anchoring point, forming a stable anchoring structure and ensuring that the ocean current power generation platform can operate stably under different sea conditions.

[0077] As an embodiment of the present invention, the step of formulating the anchoring topology rules corresponding to the anchoring distribution points based on the bearing capacity of the points includes: querying the geological strength index in the bearing capacity of the points; determining the bearing correlation relationship between adjacent anchoring points based on the geological strength index; dividing the distribution layers of the anchoring distribution points according to the bearing correlation relationship; marking the key anchoring nodes corresponding to each layer of the distribution layers; and formulating the anchoring topology rules corresponding to the anchoring distribution points based on the key anchoring nodes.

[0078] The geological strength index refers to quantitative parameters used to measure the bearing capacity of the geological structure at the seabed anchorage point, encompassing data such as compressive strength, shear strength, and internal friction angle. For example, at an anchorage point in a certain sea area, the compressive strength of the seabed bedrock is tested to be 100 MPa, the shear strength to be 15 MPa, and the internal friction angle to be 38°. These data directly reflect the geological firmness of the point and are key bases for assessing the bearing capacity of the point, providing basic data support for subsequent anchorage design. The bearing capacity correlation refers to the interaction and cooperative bearing relationship between adjacent anchorage points when bearing the load of the ocean current power generation platform. For example, in a region composed of three adjacent anchorage points, the bearing capacity of point A is 150 kN, point B is 120 kN, and point C is 130 kN. Under the impact of the ocean current, point A will bear a larger load and transfer part of the force to points B and C through the anchor chain. This force transfer and sharing relationship is the bearing capacity correlation, which determines the stress balance of the overall anchorage system. The distribution level refers to the root Based on the bearing capacity and bearing correlation of the anchorage points, the anchorage distribution points are classified into layers to form an orderly anchorage structure system. For example, in a sea area, anchorage points with strong bearing capacity (greater than 120kN) are classified as the first layer, serving as the main bearing layer; points with medium bearing capacity (80-120kN) are classified as the second layer, assisting the first layer in distributing the load; and points with weak bearing capacity (less than 80kN) constitute the third layer, playing a fine-tuning and balancing role, thereby enhancing the stability and reliability of the anchorage system. The critical anchoring node refers to the anchoring point in each distribution level of the anchoring points that plays a decisive role in the stability and load transfer of the overall anchoring system. For example, in an anchoring system with a triangular layout, the anchoring point located at the apex of the triangle and with the strongest load-bearing capacity (up to 180kN) bears the main tensile force and stabilizing role when resisting the impact of ocean currents. It is the key to maintaining the stability of the entire anchoring structure. Once this node fails, it may lead to the imbalance of the entire anchoring system. Therefore, it is marked as a critical anchoring node.

[0079] Furthermore, the geological strength index in the bearing capacity of the anchorage points can be obtained through geotechnical parameter inversion methods, such as using PLAXIS 3D software combined with on-site static cone penetration data to perform soil mechanical parameter inversion calculations. The determination of the bearing capacity correlation between adjacent anchorage points can be achieved through spatial autocorrelation analysis, such as using GeoDa software to calculate the Moran index to assess the spatial dependence of anchorage point bearing capacity, thus obtaining the bearing capacity correlation. The division of the distribution levels of the anchorage points can be achieved through K-means clustering, such as using Python's scikit-learn library to perform multi-dimensional clustering analysis on the anchorage point bearing capacity data, thus obtaining the distribution levels. The marking of key anchorage nodes corresponding to each layer of the distribution levels can be achieved through network centrality algorithms, such as using Gephi tools to calculate betweenness centrality and identify topological key nodes, thus obtaining key anchorage nodes. The formulation of anchorage topology rules corresponding to the anchorage distribution points can be achieved through graph theory modeling methods, such as using the NetworkX library to construct an anchorage point topology network and generate minimum spanning tree rules, thus obtaining the anchorage topology rules.

[0080] The data monitoring module 102 is used to analyze the cable layout corresponding to the polymer cable in the preset anchoring system based on the dynamic anchoring rules, query the tensile strength threshold corresponding to the polymer cable based on the cable layout, and detect the real-time stress data corresponding to each cable segment in the polymer cable based on the tensile strength threshold.

[0081] Based on the aforementioned dynamic anchoring rules, this invention analyzes the cable layout corresponding to the polymer cable in the preset anchoring system. It can optimize the cable connection method and spatial orientation according to the load-bearing characteristics of the location and topological logic, so that the cable layout is adapted to the seabed topography, geological conditions and ocean current load distribution, ensuring that each cable segment is subjected to balanced force under ocean current impact, and improving the dynamic load resistance and long-term operational reliability of the anchoring system from the structural design level.

[0082] The pre-designed anchoring system refers to an anchoring structure pre-designed based on the target marine environment parameters (such as topography, ocean currents, and geology) before the deployment of the ocean current power generation platform. This includes the anchor point layout, connection methods, and configuration of related components. For example, for a sea area with a current velocity of 2.2 m / s, the pre-designed anchoring system adopts a "three-anchor-point triangular topology + buoy buffer" structure with an anchor point spacing of 100 meters, connected by polymer cables. Simulation verification has shown that it can withstand the impact load caused by a category 12 typhoon, providing a standardized solution for platform stability. The polymer cables are cables made of polymer materials used to connect the anchor points and the power generation platform. They possess high strength and corrosion resistance, with tensile strength thresholds typically reaching hundreds of megapascals. For example, a certain ocean current power project uses ultra-high molecular weight polymer (UHMWPA) cables. The polyethylene cable, with a diameter of 50mm and a tensile strength of 850MPa, can withstand a tensile force of 180 tons. When deployed in the Zhoushan sea area, this cable connects the platform to the seabed anchor points, effectively buffering the dynamic load generated by the 1.8m / s ocean current and ensuring the long-term operation of the system. The cable layout refers to the spatial arrangement and connection topology of the polymer cables in the anchoring system, which needs to match the distribution of anchor points and the characteristics of ocean current loads. For example, a certain anchoring system adopts a "triangular mesh layout," with three polymer cables connecting three seabed anchor points respectively, forming an equilateral triangle with a side length of 100 meters. The angle between the cable and the horizontal plane is 30°-45°. This layout can evenly distribute the ocean current load to each anchor point. Tests have shown that the stress deviation of each cable segment is ≤15% at a current velocity of 2.5m / s.

[0083] As an embodiment of the present invention, the step of parsing the cable layout corresponding to the polymer cable in the preset anchoring system based on the dynamic anchoring rules includes: analyzing the anchoring constraints in the dynamic anchoring rules; extracting the coordinates of the connection nodes corresponding to the polymer cable according to the anchoring constraints; determining the cable connection path corresponding to the polymer cable based on the connection node coordinates; generating a cable segment sequence corresponding to the cable connection path; and parsing the cable layout corresponding to the polymer cable in the preset anchoring system based on the cable segment sequence.

[0084] The anchoring constraints refer to various technical parameters and environmental requirements in the dynamic anchoring rules that restrict the design of the anchoring system. These include geological bearing capacity thresholds, topological geometric constraints, and ocean current load boundary conditions. For example, in a certain sea area, the geological compressive strength of the anchoring point must be ≥60MPa, the distance between adjacent anchoring points must be controlled within the range of 80-120 meters, and the angle between the cable and the ocean current direction must not be less than 45°. These conditions together constitute the hard constraints of the anchoring system design, ensuring that the layout meets engineering safety standards. The connection node coordinates refer to the three-dimensional spatial position parameters of the connection points at both ends of the polymer cable in the pre-set anchoring system, including the geographical coordinates of the anchoring point on the seabed and the relative position coordinates of the platform connection point. For example, in a certain ocean current energy project, one end of the polymer cable connects to a seabed anchoring point (122.3°E, 30.5°N, water depth 45 meters), and the other end connects to a platform buoy (lateral coordinates X=10 meters, Y=8 meters at 5 meters below the water surface). These precise coordinates are used to determine the cable layout. The basic data; the cable connection path refers to the spatial trajectory of the polymer cable planned based on the coordinates of the connection nodes and the seabed topography. It needs to avoid seabed protrusions and adapt to the direction of ocean currents. For example, in a certain sea area, the cable starts from the seabed anchor point (coordinate A), extends along the seabed with a slope of ≤10°, bypasses a seamount with a diameter of 20 meters, and connects to the platform buoy (coordinate B) at a 15° elevation angle. This path avoids geologically weak areas and reduces the impact load of ocean currents on the cable; the cable segment sequence refers to the arrangement and combination of different functional sections of the polymer cable according to the stress characteristics and environmental conditions. Each section corresponds to specific material parameters and mechanical properties. For example, a certain cable is divided into three sections: the section near the anchor point (0-30 meters) uses ultra-high molecular weight polyethylene material with a tensile strength of 900MPa, the middle section (30-70 meters) uses 1200MPa carbon fiber reinforced cable because it is in a high-velocity area, and the section near the platform (70-80 meters) is equipped with a 5-meter-long elastic buffer section. Each section is connected in an orderly manner through joints.

[0085] Furthermore, the anchoring constraints in the dynamic anchoring rules can be analyzed using constraint programming methods, such as using the IBM ILOG CPLEX optimizer to establish a set of anchoring displacement constraint equations to obtain the anchoring constraints. Extracting the coordinates of the connecting nodes corresponding to the polymer cable can be achieved using point cloud data processing methods, such as using CloudCompare software to extract 3D point cloud feature points to obtain the connecting node coordinates. Determining the cable connection path corresponding to the polymer cable can be achieved using Dijkstra's shortest path algorithm, such as using MATLAB's graphshortestpath function to calculate the optimal path between nodes to obtain the cable connection path. Generating the cable segment sequence corresponding to the cable connection path can be achieved using dynamic programming methods, such as using Python's networkx library to perform path segment optimization calculations to obtain the cable segment sequence. Analyzing the cable layout corresponding to the polymer cable in the preset anchoring system can be achieved using topology optimization algorithms, such as using Altair OptiStruct for cable topology optimization analysis to obtain the cable layout.

[0086] Based on the cable layout, this invention queries the tensile strength threshold corresponding to the polymer cable, and can accurately match the material strength requirements according to the spatial orientation and stress distribution of the cable segment. This avoids cost waste due to strength redundancy or safety hazards caused by insufficient strength, and can construct a more scientific cable selection scheme to ensure the fatigue resistance and structural safety of the anchoring system under complex sea conditions from the material level.

[0087] The tensile strength threshold refers to the maximum stress limit that the polymer cable can withstand under tension. Exceeding this value will cause the cable to break and fail. It is a core parameter for measuring the cable's load-bearing capacity. For example, the 40mm diameter ultra-high molecular weight polyethylene cable used in a certain offshore current power generation platform has a tensile strength threshold of 800MPa, which means that the cable can withstand a tensile force of 800N per square millimeter of cross-sectional area, which is equivalent to an overall breaking force of about 100 tons. In the Zhoushan sea area with a current velocity of 2.0m / s, this threshold can ensure the safe operation of the cable under normal working load. Optionally, the tensile strength threshold corresponding to the polymer cable can be obtained by material mechanics testing methods, such as using an Instron 5969 universal testing machine to conduct a tensile failure test to obtain the tensile strength threshold.

[0088] Based on the tensile strength threshold, this invention detects the real-time stress data corresponding to each cable segment in the polymer cable, and can compare the stress value with the safety margin of the threshold in real time, accurately identify overload risk segments for early warning; it can dynamically grasp the stress state of different cable segments under the impact of ocean currents, assess the degree of cable fatigue damage, assist in the formulation of scientific maintenance strategies, and ensure the safety and reliability of the anchoring system from the perspective of operation monitoring.

[0089] The real-time stress data refers to the instantaneous stress values ​​of each segment of the polymer cable obtained through sensor acquisition and signal processing, with the unit being megapascals (MPa). For example, after data filtering and stress conversion, the real-time stress data of a certain cable transition section under ocean current impact shows that the stress is 680 MPa at t=10s and 720 MPa at t=20s, accurate to ±5 MPa, providing real-time data support for load analysis.

[0090] As an embodiment of the present invention, the step of detecting real-time stress data corresponding to each cable segment in the polymer cable based on the tensile strength threshold includes: acquiring segment topology information corresponding to each cable segment in the polymer cable; deploying stress sensor groups corresponding to each cable segment according to the segment topology information; collecting dynamic strain data returned by the stress sensor groups; comparing the dynamic strain signal with the tensile strength threshold in real time to obtain a real-time comparison sequence; and detecting real-time stress data corresponding to each cable segment in the polymer cable based on the real-time comparison sequence.

[0091] The segmented topology information refers to the connection relationships, spatial locations, and topological parameters of each segment after the polymer cable is divided into different sections according to its stress characteristics and spatial layout. For example, a polymer cable may be divided into an anchor point segment (0-20 meters), a transition segment (20-60 meters), and a platform segment (60-80 meters). The segmented topology information must clearly define the start and end coordinates, connection angles, and adjacent relationships of each segment. For instance, the transition segment and the anchor point segment have an angle of 45° and are connected 20 meters from the seabed. The stress sensor group refers to a combination of multiple sensors deployed to monitor the stress distribution of each segment of the polymer cable. It typically includes fiber Bragg grating sensors or strain gauges. For example, three sets of fiber Bragg grating sensors may be installed at the anchor point segment, the middle section, and the platform segment of a cable, with each set spaced 5 meters apart and a sampling frequency of 100 Hz. This allows for real-time acquisition of strain signals at each point with an accuracy of ±1 μm. ε; The dynamic strain data refers to the cable strain signal that changes over time and is collected in real time by the stress sensor group, reflecting the deformation of the cable segment under ocean current load. For example, when the ocean current velocity is 1.5 m / s, the dynamic strain data returned by the stress sensor group shows that the strain of the anchor point fluctuates between 500-800 με, the strain of the transition section is 300-500 με, and the strain of the platform section is 200-400 με, with a sampling interval of 0.01 seconds; The real-time comparison sequence refers to the result sequence of comparing the dynamic strain data with the stress value converted from the tensile strength threshold in real time to determine the stress state of each cable segment. For example, if the tensile strength threshold of a cable segment is 800 MPa, when the dynamic strain data is converted to a stress value of 750 MPa, the real-time comparison sequence records "current stress / threshold = 93.75%", and a set of comparison results is generated every 10 seconds.

[0092] Furthermore, the acquisition of segmented topology information corresponding to each cable segment in the polymer cable can be achieved through graph theory analysis methods, such as using the NetworkX library to construct a topology graph of cable segment connections to obtain segmented topology information; the deployment of stress sensor groups corresponding to each cable segment can be achieved through optimal placement algorithms, such as using ANSYS Workbench for sensor position optimization design to obtain stress sensor groups; the acquisition of dynamic strain data returned by the stress sensor groups can be achieved through IoT communication protocols, such as building a data acquisition system based on the Modbus RTU protocol to obtain dynamic strain data; the real-time comparison of the dynamic strain signal with the tensile strength threshold can be achieved through a sliding window algorithm, such as using Python to calculate the moving average of strain data in real time to obtain a real-time comparison sequence; the detection of real-time stress data corresponding to each cable segment in the polymer cable can be achieved through digital signal processing technology, such as using LabVIEW for strain signal filtering and feature extraction to obtain real-time stress data.

[0093] The process construction module 103 is used to calculate the current interference value between the buoy and the ground chain in the anchoring system during deployment based on the real-time stress data, and to construct the positioning process corresponding to the buoy and the three-eye plate in the anchoring system based on the current interference value.

[0094] Based on the real-time stress data, this invention calculates the current interference value between the buoy and the ground chain in the pre-set anchoring system during deployment. It can accurately quantify the degree of mutual influence between the two under the action of the current, which helps to predict the dynamic response of the anchoring system under complex sea conditions. It provides data support for ensuring the positioning accuracy of the buoy and enhancing the anchoring stability of the ground chain, thereby improving the overall current resistance performance and operational reliability of the anchoring system.

[0095] The pontoon refers to a hollow, sealed structure in the anchoring system used to provide buoyancy, support the power generation platform, and adjust the system height. It is typically made of high-density polyethylene or metal. For example, the pontoon of a certain ocean current power generation platform has a diameter of 3 meters, a height of 5 meters, a displacement of approximately 35 tons, and can generate 280 kN of buoyancy. Connected to the seabed anchor point via polymer cables, it can stabilize the platform body 5 meters below the water surface in waters 40 meters deep, resisting the impact of currents with a velocity of 1.8 m / s. The ground-lying chain refers to a chain laid on the seabed to connect the anchor point to the pontoon or platform. It primarily bears horizontal tension and stabilizes the anchoring system, and is usually made of high-strength materials. Manganese steel chains, such as the ground-lying chain used in a certain anchoring system, have a diameter of 60mm, a single section length of 0.5 meters, and a breaking strength of 1200kN. When deployed in a certain sea area of ​​the South my country Sea, the ground-lying chain is laid along the seabed topography, with a length of about 100 meters. It can disperse the impact force of the ocean current on the platform to the seabed anchor point and reduce the direct load on the polymer cable. The ocean current interference value refers to a quantitative index that reflects the degree of comprehensive mechanical interference caused by the interaction between the buoy and the ground-lying chain in the anchoring system under the ocean current environment. It integrates factors such as ocean current velocity, stress, and spatial layout, and reflects the intensity of the influence of the ocean current on the deployment state of the buoy-ground-lying chain. The larger the value, the more significant the interference effect caused by the ocean current.

[0096] As an embodiment of the present invention, the step of calculating the current interference value between the buoy and the ground-lying chain in the pre-set anchoring system during deployment based on the real-time stress data includes:

[0097] The following formula can be used to calculate the current interference value between the buoy and the ground-lying chain in the pre-designed anchoring system during deployment:

[0098]

[0099] Where Lg represents the current interference value between the buoy and the ground-lying chain in the preset anchoring system during deployment, T represents the monitoring time period, n represents the number of velocity monitoring points, i represents the index of the number of velocity monitoring points, m represents the total number of anchoring units, j represents the index of the number of anchoring units, k represents the current interference coefficient corresponding to the real-time stress data, ρ represents the seawater density, and v i (t) represents the ocean current velocity at time t at the i-th monitoring point, C d A represents the resistance coefficient of the anchoring element. j σ represents the projected area facing the current of the j-th anchoring element. ij (t) represents the real-time load value of the j-th anchoring unit at the i-th velocity monitoring point, d ij σ represents the horizontal distance between the i-th current monitoring point and the j-th anchoring unit, h represents the seawater depth, and σ represents the horizontal distance between the i-th current monitoring point and the j-th anchoring unit. th This indicates the tensile strength threshold.

[0100] Specifically, the monitoring time period refers to the continuous observation duration set for monitoring the impact of ocean currents on the anchoring system, used to obtain complete sea state change data. For example, to study the impact of seasonal ocean currents on the anchoring system in a certain sea area, the monitoring time period T is set to 3 months (90 days), with continuous monitoring from January 1st to March 31st to understand the patterns of ocean current action at different times. The current velocity monitoring points refer to pre-selected measurement locations in the target sea area to obtain ocean current velocity data, used to collect ocean current information in different areas. For example, in the sea area where the ocean current power generation platform is located, the points are arranged in a grid pattern. Five current velocity monitoring points (n=5) are set up, such as monitoring point 1 located 200 meters northeast of the platform, monitoring point 2 located 300 meters southeast, etc., covering different directions around the platform to collect ocean current velocities at each point; the anchoring unit refers to the basic component that constitutes the anchoring system, such as a single float-floor chain assembly, etc., which is an independent structure that bears ocean current loads and performs anchoring functions. For example, its anchoring system contains 8 anchoring units (m=8), each unit consisting of a specific float paired with a floor chain. For example, the first anchoring unit (j=1) has a float diameter of 2 meters and a floor chain length of... The 10-meter depth is used to disperse the force of the ocean current. The ocean current interference coefficient refers to the correction coefficient reflecting the influence of complex flow states (such as eddies and turbulent interference) on the load calculation when the ocean current interacts with the anchoring system. It can be determined by specific experiments and numerical simulations. For example, through flume experiments and numerical simulations, the ocean current in this sea area is prone to turbulence due to the seabed topography. The ocean current interference coefficient k is determined to be 1.2, which is used to correct the actual load of the ocean current on the anchoring unit and reflect the influence of complex flow conditions. The ocean current velocity refers to the linear velocity of the ocean current at time t at the current velocity monitoring point, which can specifically reflect the dynamic force of the ocean current. For example, at 12:00 on a certain day (t=12), the current velocity v2(12) measured by the acoustic Doppler current meter at the second monitoring point (i=2) was 1.5 m / s. The velocity varied at different times and different monitoring points, and changed with tides and wind. The drag coefficient refers to the coefficient that measures the influence of the shape and surface characteristics of the anchoring unit on the current resistance. It is related to the shape of the unit (such as cylinder or plate) and the surface roughness. It can be specifically determined by wind tunnel / water tunnel test. For example, the anchoring unit buoy is cylindrical and the surface is smoothed. After water tunnel test, its drag coefficient C dThe coefficient is 0.8. If the surface is rough, the coefficient will increase, reflecting the influence of shape and surface on current resistance. The projected area facing the current refers to the projected area of ​​the anchoring unit perpendicular to the current direction. It is the area of ​​force exerted by the current on the unit and determines the magnitude of current resistance. For example, the buoy of the third anchoring unit (j=3) is a cylinder with a diameter of 1.5 meters and a length of 2 meters. When the current flows along the direction perpendicular to the cylinder's axis, the projected area facing the current, A3, is 1.5 × 2 = 3 square meters, which is the projection of the cylinder's side area perpendicular to the current direction. The real-time load value refers to the actual load generated by the current on the j-th anchoring unit at the i-th velocity monitoring point at time t, reflecting the magnitude of the force on the unit. For example, the real-time load value σ of the fourth anchoring unit (j=4) at the third monitoring point (i=3) at 8:00 AM (t=8) on a certain day is measured by a tension sensor. 34 (8) is 5000N, varying with ocean current speed and direction, reflecting the real-time force on the unit; the horizontal distance refers to the straight-line distance between the i-th ocean current monitoring point and the j-th anchoring unit projected on the sea surface (or seabed), used to calculate parameters such as the lever arm of the ocean current. For example, the horizontal distance d between the 1st monitoring point (i=1) and the 2nd anchoring unit (j=2) is measured by GPS positioning. 12 The length of the straight line projected onto the horizontal plane by the 400-meter reference depth is considered, affecting the torque distribution of the ocean current force. The seawater depth refers to the vertical distance from the sea surface to the seabed at the measurement point in the target sea area, influencing the vertical distribution of the ocean current and the stress environment of the anchoring system. For example, in the sea area where the power generation platform is located, sonar measurements indicate a seawater depth h of 30 meters. Depths may vary at different locations, and the characteristics of shallow and deep ocean currents and their effects on the anchoring system differ. The tensile strength threshold refers to the maximum tensile stress that anchoring components such as polymer cables can withstand without fracture. It is a key indicator for judging the safety of components. For example, for polymer cables used in anchoring systems, the tensile strength threshold σ, after a tensile test, is... th The maximum tensile stress is 200 MPa. When the tensile stress on the cable approaches or exceeds this value, there is a risk of breakage, and the anchoring strategy needs to be adjusted.

[0101] Furthermore, the molecular part: 1. Classic "ocean current drag formula" (similar to air drag) Calculate the instantaneous drag force ρ_seawater density, v_t on the anchoring element caused by the ocean current. i (t) Ocean current velocity, C d Drag coefficient, A j The projected area facing the current (together determine the magnitude of the force exerted by the ocean current's "pushing / pulling" unit); 2. Load safety correction term σ ij (t) is the real-time load of the element, σ th1. Tensile threshold): This reflects that "the closer the element is to its limit, the higher the 'risk weight' of ocean current interference" (for example, when the element is close to its tensile limit, even a small ocean current may cause failure, requiring amplification of its interference effect); 2. k: Ocean current interference coefficient, which corrects for "the difference between the complex flow patterns of actual ocean currents (such as turbulence and eddies) and the ideal model" (the drag formula measured in the laboratory is for uniform flow, while actual ocean currents have disturbances, so k is used for compensation and correction); Denominator: Lever arm correction term (d) ij (where h is the horizontal distance and h is the seawater depth) because the spatial position (horizontal + vertical distance) between the point of action of the ocean current and the anchoring unit will change the "actual effect of the force" (similar to the lever principle, the greater the distance, the smaller the interference effect of the same ocean current force).

[0102] Furthermore, based on the aforementioned ocean current interference value, this invention constructs a pre-defined positioning process for the buoy and the three-eyed board in the anchoring system. This process can accurately grasp the impact of ocean currents on the layout of the two, providing dynamic and quantitative basis for positioning. It can also predict the force and displacement trends under complex sea conditions based on the interference value, thereby enhancing the stability of the anchoring system's positioning and improving the overall deployment accuracy and current resistance performance.

[0103] The term "buoy" refers to a floating device in the anchoring system used to provide buoyancy and maintain related components (such as cables, anchor chains, etc.) in a specific underwater position or attitude. It is generally made of lightweight, seawater-resistant materials, and is hollow or filled with low-density materials. For example, in a certain ocean current power generation anchoring system, a cylindrical buoy with a diameter of 1.2 meters and a height of 1.5 meters, made of high-density polyethylene, weighs 30 kg and provides approximately 1200 Newtons of buoyancy, supporting the connected polymer cable and maintaining it in a preset position at a depth of 8 meters. The term "three-hole plate" refers to a metal or high-strength composite material component in the anchoring system with three connecting holes. It is used to flexibly connect different components (such as cables, anchor chains, buoys, etc.), enabling force transmission and direction adjustment, and serving as a node transition. For example, in the anchoring system of a marine ranch, a three-eye plate forged from No. 45 steel with a thickness of 20 mm and three 25 mm diameter holes is used to connect the ground chain (with a tensile strength of up to 80 tons), the buoy cable, and the platform towing rope, respectively, to accurately distribute the force in each direction and ensure the stability of the system. The positioning process refers to the standardized operation steps based on the analysis of ocean current interference values ​​to clarify the installation position, attitude, and connection method of the buoy and the three-eye plate. For example, the process is as follows: ① Identify significant intervals through interference values ​​→ ② Locate high interference points and dense areas → ③ According to the regional rules, place the buoy 5 m away from the edge of the dense area, with the three-eye plate at a 45° angle to the direction of the ocean current → ④ Verify that the interference value has fallen back to the safe range (≤0.5), forming a closed-loop positioning logic of "monitoring-analysis-deployment-verification".

[0104] As an embodiment of the present invention, the step of constructing a preset positioning process for the buoy and the three-eyed board in the anchoring system based on the ocean current interference value includes: analyzing the significant interference interval corresponding to the ocean current interference value; querying the high interference points associated with the significant interference interval; locating the interference-dense region corresponding to the buoy and the three-eyed board in the preset anchoring system based on the high interference points; querying the regional deployment rules in the interference-dense region; and constructing the preset positioning process for the buoy and the three-eyed board in the anchoring system based on the regional deployment rules.

[0105] The significant interference range refers to the range where the current interference value exceeds the normal fluctuation range and has a significant impact on the anchoring system. By statistically analyzing historical or real-time interference values, the critical range deviating from the mean and affecting the structural stress is identified. For example, if the current interference value of a certain anchoring system normally fluctuates between 0.2 and 0.5, but a strong current causes the interference value to remain between 0.6 and 0.8, this range [0.6, 0.8] is the significant interference range, indicating a need to pay attention to the stress risk on the buoy-three-eye plate. The high interference point refers to a spatial coordinate point (or regional node) within the significant interference range where the interaction between the current and the anchoring system is strong, leading to a concentration of local interference effects. For example, through flow field simulation and stress monitoring, it was found that at coordinates (12.5N, 118.3E) and a water depth of 6m, the interference value of the buoy reaches 0.75 due to the superposition of current flow and cable tension; this point is a high interference point and requires special attention. The connection strength between the nuclear float and the three-eye plate; the interference-dense region refers to a specific spatial range formed by the aggregation of multiple high interference points, where the ocean current interference effect is continuously enhanced. It can be identified by spatial clustering algorithms (such as DBSCAN). For example, if five high interference points are continuously monitored in a circular area with a radius of 20m, and the interference value is ≥0.6, this area is the interference-dense region. The float layout should be adjusted first to avoid deformation of the three-eye plate due to concentrated force. The regional deployment rules refer to the pre-formulated technical specifications for the installation / adjustment of the float and the three-eye plate in the interference-dense region. They cover constraints such as spacing, angle, and connection strength. For example, the rules require that in the interference-dense region, the float spacing should be ≤8m (to avoid the superposition of ocean current eddies), the angle between the three-eye plate and the cable should be controlled between 30° and 60° (to optimize force transmission), and the pre-tightening force of the connecting bolts should be ≥120N·m to ensure the anti-interference stability of the system.

[0106] Furthermore, the analysis of significant interference intervals corresponding to the ocean current interference values ​​can be achieved through peak detection algorithms, such as using Python's `scipy.signal.find_peaks` function to identify interference value peak intervals, thereby obtaining significant interference intervals; the querying of high interference points associated with the significant interference intervals can be achieved through spatial interpolation methods, such as using ArcGIS's Kriging interpolation tool to generate an interference intensity distribution heatmap, thereby obtaining high interference points; the positioning of dense interference regions corresponding to buoys and three-eyed boards in the preset anchoring system can be achieved through density clustering algorithms, such as using the DBSCAN method to perform spatial clustering analysis on interference points, thereby obtaining dense interference regions; the querying of regional deployment rules in the dense interference regions can be achieved through rule mining algorithms, such as using the Apriori algorithm to analyze frequent itemsets in historical deployment data, thereby obtaining regional deployment rules; the construction of the positioning process corresponding to buoys and three-eyed boards in the preset anchoring system can be achieved through business process modeling methods, such as using the BPMN 2.0 standard to establish a positioning flowchart on the Camunda platform, thereby obtaining the positioning process.

[0107] Specifically, for a more intuitive understanding of the logic and structural relationships of the deployment and connection of the various components of the anchoring system in this solution, please refer to [reference needed]. Figure 2 This diagram illustrates the structure of the anchoring system. As the core framework for the system's layout, it clearly shows the complete connection chain from the float to the anchor: the float acts as the top support, connecting to the regulating chain segment BA at point A, then to the elastic cable segment CB at point B, and the lying chain segment EDC at point C, finally anchored to the seabed at point E. The diagram clearly labels the lengths and diameters of the lying chain (EDC segment), elastic cable (CB segment), and regulating chain (BA segment), providing a fundamental basis for understanding the physical structure of the anchoring system. It should be noted that the connections between components in the diagram are essentially an abstract refinement of the mechanical transmission and structural layout logic of the anchoring system. In real-world scenarios, the complexity of the forces acting on components under ocean currents (such as the dynamic impact of different current interference values ​​on the stress distribution of each chain segment) and the diversity of installation adaptations (different water depths and terrains in different sea areas necessitate different chain length selections) far exceed the actual situation. Figure 2 The architecture shown here is only a concise representation of the core structural logic, providing an intuitive reference for understanding the deployment ideas of the anchoring system.

[0108] The time window module 104 is used to perform topological segmentation of the positioning process to obtain anchoring task blocks, analyze the fluid fluctuation sequence corresponding to the anchoring task blocks, calculate the fluid load coefficient corresponding to the fluid fluctuation sequence, and construct the tidal time window corresponding to the anchoring task blocks based on the fluid load coefficient.

[0109] This invention obtains anchoring task blocks by topologically dividing the positioning process, which can break down the complex positioning work into clear and independent task units, reducing the overall implementation difficulty. It facilitates precise resource allocation, rationally allocates manpower and equipment according to the needs of each task block, improves resource utilization efficiency, realizes process-oriented and standardized operation, helps the anchoring system to advance positioning efficiently, and ensures accurate and stable deployment of floats and three-eye boards.

[0110] The anchoring task block refers to a complete and independent working module formed by further integrating and optimizing the preliminary task units after comprehensive analysis of task attributes. It has clear input and output and execution standards. For example, the two preliminary task units of "float positioning and installation" and "connection of three-eye board and float cable" are integrated into the "float-three-eye board basic connection module" anchoring task block by combining their resource requirements and risk levels. This module includes the entire process from float positioning to cable fastening and can be independently assigned to the work team for execution to ensure the orderly progress of the positioning work.

[0111] As an embodiment of the present invention, the step of performing topological segmentation on the positioning process to obtain anchoring task blocks includes: querying the positional distribution of the buoy and the three-eye board in the positioning process; identifying topological connection points in the positioning process based on the positional distribution; dividing the positioning process into preliminary task units based on the topological connection points; parsing the task attributes corresponding to the preliminary task units; and performing topological segmentation on the positioning process based on the task attributes to obtain anchoring task blocks.

[0112] The location distribution refers to the spatial coordinates and arrangement of the buoy and the three-eyed board within the deployment area of ​​the anchoring system. This is typically represented by geographical coordinates or relative positions. For example, in an anchoring system in a certain sea area, the buoy is positioned at 122.5°E, 30.2°N, at a depth of 15 meters, while the three-eyed board is installed 8 meters horizontally away from the buoy on the seabed. Their three-dimensional spatial coordinates and spacing constitute the location distribution, which is the basic data for subsequent task breakdown. The topological connection point refers to the key connection node between the buoy, the three-eyed board, and other components (such as cables and anchor chains) or different operational stages during the positioning process. It determines the stability of the system structure and the force transmission path. For example, in the stage where the buoy and the three-eyed board are connected by cables, the fixing point between the cable and the buoy / three-eyed board is the topological connection point. If the connection point between the cable and the three-eyed board in a certain sea area project experiences a tensile force exceeding 80kN, reinforcement is required. This connection point is critical to the overall structural safety. Topological connection points; the preliminary task unit refers to the task module obtained after the positioning process is initially divided according to the topological connection points. Each unit contains specific operation steps and objectives. For example, in the positioning process of a certain anchoring system, the connection point between the float installation and the pre-fixation of the three-eye board is used as the boundary to divide it into two preliminary task units: "float positioning and installation" and "connection of the three-eye board and float cable". The former includes steps such as float deployment and water depth calibration, while the latter involves operations such as cable length measurement and tightening. The task attributes refer to the set of parameters describing the characteristics of the preliminary task unit, covering task type (such as installation, debugging, testing), operation time, resource requirements, risk level, etc. For example, the preliminary task unit of "connection of the three-eye board and float cable" has a task type of installation, an estimated operation time of 2 hours, requires 2 technicians and 1 torque wrench, and is rated as medium risk level because it involves high-altitude and underwater operations. These information constitute the attributes of the task unit.

[0113] Furthermore, the querying of the position distribution of the buoy and the three-eye board in the positioning process can be achieved through spatial database query methods, such as using PostGIS to perform ST_Within spatial relationship query to obtain the position distribution; the identification of topological connection points in the positioning process can be achieved through graph theory analysis methods, such as using the NetworkX library to calculate the betweenness centrality of nodes to obtain the topological connection points; the division of the positioning process into preliminary task units can be achieved through task decomposition methods, such as using a WBS work decomposition structure to modularize the process to obtain preliminary task units; the parsing of the task attributes corresponding to the preliminary task units can be achieved through metadata extraction methods, such as using Python's pandas library to extract task feature fields to obtain task attributes; the topological segmentation of the positioning process can be achieved through community discovery algorithms, such as using the Louvain method to segment the process network community to obtain anchoring task blocks.

[0114] This invention analyzes the fluid fluctuation sequence corresponding to the anchoring task block, and by capturing the dynamic change pattern of the fluid, it can accurately identify the fluid impact risk points that may be encountered during the task execution process, and avoid operation interruption or safety hazards caused by violent fluid fluctuations in advance. At the same time, it provides dynamic data support for the connection of subsequent task blocks, ensuring that the anchoring system can still be promoted efficiently and safely in complex fluid environments, and improving the stability and reliability of the overall project.

[0115] The fluid fluctuation sequence refers to the sequence of fluid (e.g., seawater) physical parameter changes collected by sensors and arranged in chronological order during the anchoring task. It mainly includes information such as flow velocity, flow direction, and wave height. For example, in an anchoring task in a certain sea area, fluid data is continuously collected for 6 hours at 10-second intervals, forming a sequence containing 2160 data points: at t=100s, the flow velocity is 1.8m / s, the flow direction is 120°, and the wave height is 0.5m; at t=200s, the flow velocity increases to 2.2m / s, the flow direction changes to 135°, and the wave height is 0.8m. These dynamically changing data over time constitute a complete fluid fluctuation sequence, intuitively reflecting the real-time state and changing trend of the fluid environment. Optionally, the analysis of the fluid fluctuation sequence corresponding to the anchoring task block can be achieved through time series analysis methods, such as using MATLAB's Wavelet Toolbox to perform wavelet transform decomposition of the fluid fluctuation signal to obtain the fluid fluctuation sequence.

[0116] Furthermore, by calculating the fluid load coefficient corresponding to the fluid fluctuation sequence, this invention can quantify the degree of mechanical influence of fluid dynamic changes on the anchoring task block, transforming complex fluid fluctuations into numerical indicators that can be intuitively evaluated, providing a basis for task safety analysis, facilitating early optimization of task processes and adjustment of construction plans, thereby enhancing the adaptability and reliability of the anchoring system in the fluid environment.

[0117] The fluid load coefficient is a dimensionless index that quantifies the force intensity of the fluid on the anchoring system (such as a float or three-eyed board) by comprehensively considering the fluid fluctuation characteristics (force, area, and velocity). It integrates the normal force, tangential force, area of ​​action, and average velocity through a formula to reflect the load effect of fluid fluctuation on the structure per unit velocity and per unit area. The larger the value, the stronger the mechanical interference of the fluid on the anchoring block. It is used to assess the risk level of the structure under fluid impact.

[0118] As an embodiment of the present invention, calculating the fluid load coefficient corresponding to the fluid fluctuation sequence includes:

[0119] The fluid load factor corresponding to the fluid fluctuation sequence is calculated using the following formula:

[0120]

[0121] Among them, C FL The fluid load coefficient corresponding to the fluid fluctuation sequence is represented by t1 and t2, which represent the start and end times of the load calculation interval, respectively. l represents the number of fluid fluctuation components corresponding to the fluid fluctuation sequence, k represents the index of the number of fluid fluctuation components, and F... k (t) represents the normal force generated by the k-th fluid wave component at time t, D k (t) represents the tangential force generated by the k-th fluid wave component at time t, ρ represents the seawater density, and V avg A represents the average flow velocity of the fluid within the load calculation interval. ref Represents the characteristic area.

[0122] In detail, the load calculation interval refers to the continuous time range selected for calculating the fluid load coefficient, which needs to cover the typical cycle of fluid fluctuations (such as including complete surge and tidal changes). For example, t1 = 0s to t2 = 3600s (1 hour) is selected to capture the process of fluid fluctuations from gentle to violent during high tide, ensuring that the calculation results reflect the load characteristics of the actual operation period. This is a key parameter for defining the scope of data collection and analysis. The fluid fluctuation component refers to the decomposition of complex fluid fluctuations (such as ocean waves and ocean currents) into several independent components. Each component corresponds to a fluid motion pattern (such as the transverse wave component of waves and the longitudinal component of ocean currents). For example, fluid fluctuations are decomposed into "vertical wave fluctuation (k = 1)", "horizontal current flow (k = 2)", etc. (l = 3) components, and then analyzed by F. k (t), D k (t) Calculate the force of each component separately; the normal force refers to the force generated by the fluid wave component in the direction perpendicular to the surface of the anchoring structure, perpendicular to the upstream face of the structure. For example, when waves impact the buoy, the pressure difference perpendicular to the buoy surface forms the normal force. If the buoy diameter is 2m and the wave pressure is 500Pa, the normal force F k (t) = p × A = 500 Pa × 3.14 m² = 1570 N, directly affecting the lifting and pressing stability of the structure; the tangential force refers to the force generated by the fluid wave component in the direction parallel to the surface of the anchored structure, parallel to the upstream face of the structure. For example, when the ocean current flows through the three-eyed plate, due to the viscosity of the fluid and friction with the surface of the structure, a tangential force parallel to the three-eyed plate is generated. If the ocean current velocity is 1.5 m / s and the friction coefficient is 0.02, the tangential force... (ρ is the density of seawater), driving the structure to undergo sliding and torsional deformation; the average flow velocity refers to the time average of the fluid flow velocity within the load calculation interval (t2-t1), reflecting the macroscopic intensity of fluid motion, calculated through flow velocity data within the integration interval (e.g., flow velocity collected every 10 seconds, for a total of 360 data points): For example, the flow velocity within the interval fluctuates between 1 and 3 m / s, and the average flow velocity V avf =2m / s, used as the denominator of the formula, to balance the influence of the flow velocity on the load coefficient; the characteristic area refers to the actual contact range of the fluid (waves, currents) acting on the anchoring structure, which dynamically changes with wave crests / troughs and flow velocity direction (for example, waves hitting the buoy, the contact arc surface is different at different times), characteristic area A ref This transforms dynamic and irregular contact interactions into a fixed "equivalent plane," making the calculation and comparison of fluid loads (forces) more operational. Taking the pontoon-floating chain assembly of an anchoring system as an example (assuming pontoon diameter D = 1.5m and length L = 4m): If analyzing the load of vertical wave impact on the pontoon (such as wave surges hitting the top of the pontoon, affecting platform lifting stability): the characteristic area is taken as the "circular projected area" of the pontoon, i.e., A. ref =π×(D / 2) 2 =3.14 × 0.75 2 ≈1.77m2, representing the equivalent surface of the wave vertically pressing against the buoy.

[0123] Based on the fluid load coefficient, this invention constructs the tidal time window corresponding to the anchoring task block, which can accurately correlate fluid load with tidal change patterns, lock in the optimal time for the anchoring task block execution, avoid high-load risk periods, ensure that the structural stress is within a safe range during task implementation, reduce operational failures caused by fluid impact, promote the standardization and efficiency of anchoring system construction, and improve the stability and timeliness of the overall project.

[0124] The tidal time window refers to a specific period of time suitable for carrying out anchoring task block operations, selected by combining the periodic changes of tides with the requirements of anchoring tasks. During this period, environmental parameters such as the fluid load coefficient are within a range that is conducive to construction and ensures safety. For example, the tidal cycle of a certain sea area is about 12.4 hours. After analysis, when the tide height is 1.5-2.5 meters and the current velocity is less than 0.8 m / s, the fluid load has little impact on the anchoring task. The corresponding time periods from 3:00 AM to 6:00 AM and from 5:00 PM to 8:00 PM each day are the tidal time windows, which guide the orderly development of the task. Optionally, the tidal time window corresponding to the anchoring task block can be constructed by a tidal prediction model, such as using the XGBoost algorithm to train historical tidal data to establish a prediction model, thereby obtaining the tidal time window.

[0125] The scheme formulation module 105 is used to monitor the surge disturbance state corresponding to the tidal time window, construct the failure avoidance path of the anchoring system under dynamic sea conditions based on the surge disturbance state, identify the key buffer nodes corresponding to the failure avoidance path, and formulate the anchoring optimization scheme corresponding to the ocean current power generation platform in the target sea area based on the key buffer nodes.

[0126] This invention monitors the surge disturbance state corresponding to the tidal time window, which can dynamically grasp the actual changes in the fluid environment within the window, promptly detect unexpected surge interference, ensure the safe and planned progress of the anchoring task, provide a basis for parameter fine-tuning and emergency response during task execution, avoid structural damage caused by sudden surges, continuously optimize the accuracy of subsequent tidal time windows, and improve the reliability and stability of the anchoring system construction.

[0127] The surge disturbance state refers to the dynamic interference of surges (such as waves, currents, etc.) on the working environment of the anchoring system within the tidal time window. It includes the intensity, frequency, direction of the surge, and its impact on the fluid load coefficient. For example, in a certain tidal time window, the surge was originally expected to be gentle, but the actual monitoring showed that the wave height suddenly increased from 0.3 meters to 1.2 meters, the wave period shortened to 6 seconds, the flow velocity fluctuation reached 0.5 m / s, and the fluid load coefficient exceeded the safety threshold by 1.2 times. These parameters and changes together constitute the surge disturbance state, reflecting the real-time risk of the working environment. Optionally, the monitoring of the surge disturbance state corresponding to the tidal time window can be achieved by wavelet packet decomposition algorithm, such as using the PyWavelets library of Python to extract multi-scale energy features of the surge signal to obtain the surge disturbance state.

[0128] Furthermore, based on the surge disturbance state, the present invention constructs a failure avoidance path for the anchoring system under dynamic sea conditions. It can respond to surge changes in real time, plan the structural stress adjustment direction in advance, reduce the failure risk of the system caused by sudden disturbances from the root, optimize resource allocation and emergency response processes based on the path, improve the anchoring system's adaptability and risk resistance to dynamic sea conditions, and ensure overall operational safety.

[0129] The failure avoidance path refers to a complete route constructed based on the path segment sequence that can guide the anchoring system to avoid failure risks under dynamic sea conditions. It can realize force transmission adjustment and structural attitude optimization. For example, when the risk of "R-07-3" is detected, the system transfers the load from the dangerous anchor point to the third anchor point through the second segment (300m) along the path segment sequence, so that the force on each component is ≤80% of the safety threshold, forming a "identification-transfer-stabilization" failure avoidance closed loop path.

[0130] As an embodiment of the present invention, the step of constructing a failure avoidance path for the anchoring system under dynamic sea conditions based on the surge disturbance state includes: querying the risk factor identifier corresponding to the surge disturbance state; filtering the set of anchor points in the anchoring system according to the risk factor identifier; establishing an avoidance connection path corresponding to the set of anchor points; traversing the path segment sequence in the avoidance connection path; and constructing a failure avoidance path for the anchoring system under dynamic sea conditions based on the path segment sequence.

[0131] The risk factor identifier refers to the coded symbol used to mark various risk factors in the surge disturbance state, covering the danger level of key parameters such as wave height, flow velocity, and duration. For example, when the wave height is ≥2.5 meters, the flow velocity is ≥1.8 m / s and lasts for more than 30 minutes, the corresponding identifier is "R-07-3", where "R" represents risk, "07" indicates a high-risk level, and "3" indicates the duration risk type, facilitating rapid identification and matching of response strategies. The anchor point location set refers to the combination of anchor point coordinates selected from the anchoring system that can serve as failure avoidance support points. These anchor points must have sufficient bearing capacity to cope with surge disturbances. For example, the set of anchor point locations that meet the conditions in a certain system is {(120.3°E, 30.5°N, water depth 20m), (120.4°E, 30.6°N, water depth 18m), (120.2°E, 30.4°N, water depth 22m)}, and the maximum bearing tensile force of each anchor point is... All have a strength of ≥1500kN, which can serve as key support for the avoidance path. The avoidance connection path refers to the preset route connecting each anchor point in the set of anchor points, used to redistribute forces and mitigate structural hazards during surge disturbances. For example, the avoidance connection path connecting the above three anchor points is: from the first anchor point through the submarine optical cable trench to the second anchor point (length 800m), and then through the pressure-resistant hose channel to the third anchor point (length 650m). The path must avoid seabed reef areas to ensure that the bending radius of the cable after laying is ≥1.5m. The path segment sequence refers to the continuous path unit into which the avoidance connection path is divided according to the anchor point spacing, terrain conditions, etc. Each unit includes parameters such as start and end points, length, and slope. For example, the above 800m long path is divided into 3 path segment sequences: the first segment is 200m (slope 5°), the second segment is 300m (slope 3°), and the third segment is 300m (slope 8°). Each segment corresponds to different seabed geology, which facilitates step-by-step inspection and adjustment.

[0132] Furthermore, the querying of the risk factor identifier corresponding to the surge disturbance state can be achieved through fuzzy logic classification methods, such as using MATLAB's Fuzzy Logic Toolbox to establish a surge state assessment system to obtain risk factor identifiers; the filtering of the anchor point location set in the anchoring system can be achieved through spatial buffer analysis methods, such as using ArcGIS's Buffer tool to generate a safety distance buffer to obtain the anchor point location set; the establishment of the avoidance connection path corresponding to the anchor point location set can be achieved through the A-pathfinding algorithm, such as using Python's Pathfinding library to calculate the optimal avoidance path to obtain the avoidance connection path; the traversal of the path segment sequence in the avoidance connection path can be achieved through a depth-first search algorithm, such as using NetworkX's dfs_edges function to traverse the path segments to obtain the path segment sequence; the construction of the failure avoidance path of the anchoring system under dynamic sea conditions can be achieved through dynamic path planning methods, such as using the D Lite algorithm to update the avoidance path in real time to obtain the failure avoidance path.

[0133] By identifying the key buffer nodes corresponding to the failure avoidance path, this invention can clearly identify the core points of the buffering and dispersing effect of the force in the path, providing precise targeting for the force adjustment of the anchoring system under dynamic sea conditions. It can optimize the force transmission efficiency based on the nodes, ensuring that the failure avoidance path can quickly exert its buffering effect during sudden surges, and reducing the risk of system failure caused by concentrated loads.

[0134] The critical buffer node refers to a core structural point in the failure avoidance path that can absorb, buffer, and distribute the surge impact force and load. It is usually composed of a high-strength buffer device (such as a spring damper or elastic cable connector) combined with an anchor point or component. It is a key link to ensure the smooth transmission of force and avoid local load exceeding the limit. For example, in the failure avoidance path of a certain anchoring system, a critical buffer node set at 300 meters from the starting anchor point is equipped with a 200mm diameter hydraulic buffer that can withstand an instantaneous impact force of 800kN. It can attenuate the peak load generated by the surge by 40% within 0.8 seconds and distribute the force evenly to the subsequent three anchor points through elastic deformation, effectively reducing the risk of breakage of the path segment. Optionally, the identification of the critical buffer node corresponding to the failure avoidance path can be achieved by network centrality analysis methods, such as using the Gephi tool to calculate the betweenness centrality of nodes to identify topological key points, thereby obtaining the critical buffer node.

[0135] Furthermore, based on the key buffer nodes, the present invention formulates an anchoring optimization scheme for the ocean current power generation platform in the target sea area. This scheme can precisely enhance the ability of the buffer nodes to absorb and disperse surge loads, improve the structural stability of the platform under dynamic sea conditions, and coordinate the synergistic effect of the buffer nodes and the overall platform to enhance the anti-disturbance capability and operational reliability of the power generation platform, thereby ensuring long-term efficient power generation.

[0136] The aforementioned ocean current energy generation platform refers to a device system that utilizes the continuous kinetic energy of ocean currents to generate electricity. It typically consists of a turbine, generator set, platform body, and anchoring system, converting ocean current energy into electrical energy. For example, a platform using a horizontal-axis turbine with 8-meter blade diameter is designed to operate in waters with current velocities of 1.5-2.5 m / s, with a single unit capacity of 500 kW. Anchored to the seabed, it can efficiently capture ocean current energy while ensuring safety, providing stable power to coastal areas. The aforementioned anchoring optimization scheme refers to the improvement and adjustment plan formulated for the anchoring system of the ocean current energy generation platform, taking into account the performance of key buffer nodes and the environmental characteristics of the target sea area. The plan covers optimizations such as anchor point layout, buffer device parameters, and cable strength. For example, one plan adjusts the original 50-meter spacing between anchor points to 35 meters, replaces the dampers of key buffer nodes with models that can withstand 1000kN impact force, and selects composite cables with 20% increased tensile strength. This improves the stability of the platform's anchoring system by 35% under ocean currents with a velocity of 3m / s, reducing maintenance costs. Optionally, the formulation of the anchoring optimization plan corresponding to the ocean current power generation platform in the target sea area can be achieved through a multi-objective genetic algorithm, such as using MATLAB's gamultiobj function to simultaneously optimize the anchor point layout and system stability indicators, thereby obtaining the anchoring optimization plan.

[0137] First, this invention acquires seabed topography data corresponding to the target sea area, enabling precise identification of suitable anchoring points and avoiding insufficient anchor claw gripping force caused by uneven terrain. It can analyze the bearing capacity of the points, providing a basis for formulating scientific anchoring topology rules, improving the adaptability of the anchoring system to complex seabed environments, and ensuring the stable deployment of the ocean current power generation platform from the source. Next, based on the dynamic anchoring rules, this invention analyzes the cable layout corresponding to the polymer cables in the preset anchoring system. It can optimize the cable connection method and spatial orientation according to the bearing characteristics of the points and topological logic, ensuring that the cable layout is adapted to the seabed topography, geological conditions, and ocean current load distribution. This ensures balanced stress on each cable segment under ocean current impact, improving the dynamic load resistance and long-term operational reliability of the anchoring system from a structural design perspective. Finally, based on the real-time stress data, this invention calculates the ocean current interference value between the buoys and the ground-lying chains in the preset anchoring system during deployment. This can accurately quantify the degree of mutual influence between the two under ocean current action, helping to predict the dynamics of the anchoring system under complex sea conditions. In response, this invention provides data support to ensure the positioning accuracy of the buoy and enhance the stability of the ground-lying chain anchoring, thereby improving the overall current resistance and operational reliability of the anchoring system. Furthermore, by topologically dividing the positioning process into blocks, this invention obtains anchoring task blocks, breaking down the complex positioning work into clear and independent task units, reducing the overall implementation difficulty. This facilitates precise resource allocation, allowing for the rational allocation of manpower and equipment based on the needs of each task block, improving resource utilization efficiency, and achieving streamlined and standardized operations. This helps to efficiently advance the anchoring system positioning, ensuring the accurate and stable deployment of the buoy and the three-eye plate. Finally, by monitoring the surge disturbance state corresponding to the tidal time window, this invention can dynamically grasp the actual changes in the fluid environment within the window, promptly detect unexpected surge interference, ensure the safe and planned progress of the anchoring task, provide a basis for parameter fine-tuning and emergency response during task execution, avoid structural damage caused by sudden surges, continuously optimize the accuracy of subsequent tidal time windows, and improve the reliability and stability of the anchoring system construction. Therefore, the anchoring system and method for an ocean current power generation platform proposed in this invention can realize the large-scale, engineering-based development of ocean current power generation.

[0138] like Figure 2 The diagram shown is a flowchart illustrating an anchoring method for an ocean current power generation platform according to an embodiment of the present invention. In this embodiment, the child lock management method based on data technology includes:

[0139] Obtain seabed topography data corresponding to the target sea area, query the anchorage distribution points in the seabed topography data, analyze the bearing capacity of the points corresponding to the anchorage distribution points, and formulate the anchorage topology rules corresponding to the anchorage distribution points based on the bearing capacity of the points.

[0140] Based on the dynamic anchoring rules, the cable layout corresponding to the polymer cable in the preset anchoring system is analyzed. Based on the cable layout, the tensile strength threshold corresponding to the polymer cable is queried. Based on the tensile strength threshold, the real-time stress data corresponding to each cable segment in the polymer cable is detected.

[0141] Based on the real-time stress data, the current interference value between the buoy and the ground chain in the pre-set anchoring system during deployment is calculated. Based on the current interference value, the positioning process corresponding to the buoy and the three-eye board in the pre-set anchoring system is constructed.

[0142] The positioning process is topologically divided into blocks to obtain anchoring task blocks. The fluid fluctuation sequence corresponding to the anchoring task block is analyzed, the fluid load coefficient corresponding to the fluid fluctuation sequence is calculated, and the tidal time window corresponding to the anchoring task block is constructed based on the fluid load coefficient.

[0143] Monitor the surge disturbance state corresponding to the tidal time window, construct the failure avoidance path of the anchoring system under dynamic sea conditions based on the surge disturbance state, identify the key buffer nodes corresponding to the failure avoidance path, and formulate the anchoring optimization scheme corresponding to the ocean current power generation platform in the target sea area based on the key buffer nodes.

[0144] In the several embodiments provided by this invention, it should be understood that the provided systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0145] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0146] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An anchoring system and method for an ocean current power generation platform, characterized in that, The system includes: a rule-making module, a data monitoring module, a process construction module, a time window module, and a solution-making module; The rule-making module is used to acquire seabed topography data corresponding to the target sea area, query the anchorage distribution points in the seabed topography data, analyze the bearing capacity of the points corresponding to the anchorage distribution points, and formulate anchorage topology rules corresponding to the anchorage distribution points based on the bearing capacity of the points. The data monitoring module is used to analyze the cable layout corresponding to the polymer cable in the preset anchoring system based on the dynamic anchoring rules, query the tensile strength threshold corresponding to the polymer cable based on the cable layout, and detect the real-time stress data corresponding to each cable segment in the polymer cable based on the tensile strength threshold. The process construction module is used to calculate the current interference value between the buoy and the ground chain in the pre-set anchoring system during deployment based on the real-time stress data, and to construct the positioning process corresponding to the buoy and the three-eye board in the pre-set anchoring system based on the current interference value. The time window module is used to perform topological segmentation of the positioning process to obtain anchoring task blocks, analyze the fluid fluctuation sequence corresponding to the anchoring task block, calculate the fluid load coefficient corresponding to the fluid fluctuation sequence, and construct the tidal time window corresponding to the anchoring task block based on the fluid load coefficient. The scheme formulation module is used to monitor the surge disturbance state corresponding to the tidal time window, construct the failure avoidance path of the anchoring system under dynamic sea conditions based on the surge disturbance state, identify the key buffer nodes corresponding to the failure avoidance path, and formulate the anchoring optimization scheme corresponding to the ocean current power generation platform in the target sea area based on the key buffer nodes.

2. The anchoring system and method for an ocean current power generation platform as described in claim 1, characterized in that, The step of formulating anchorage topology rules corresponding to the anchorage distribution points based on the bearing capacity of the points includes: Query the geological strength index in the bearing capacity of the specified location; Based on the geological strength index, the bearing capacity relationship between adjacent anchorage points is determined; Based on the load-bearing relationship, the distribution levels of the anchorage distribution points are divided; Mark the key anchoring nodes corresponding to each layer of the distribution hierarchy; Based on the key anchoring nodes, anchoring topology rules corresponding to the anchoring distribution points are formulated.

3. The anchoring system and method for an ocean current power generation platform as described in claim 1, characterized in that, The step of analyzing the cable layout corresponding to the polymer cable in the preset anchoring system based on the dynamic anchoring rules includes: Analyze the anchoring constraints in the dynamic anchoring rules; Based on the anchoring constraint conditions, extract the coordinates of the connection nodes corresponding to the polymer cable; Based on the coordinates of the connection nodes, the cable connection path corresponding to the polymer cable is determined; Generate the cable segment sequence corresponding to the cable connection path; Based on the cable segment sequence, the cable layout corresponding to the polymer cable in the preset anchoring system is analyzed.

4. The anchoring system and method for an ocean current power generation platform as described in claim 1, characterized in that, The step of detecting real-time stress data corresponding to each cable segment in the polymer cable based on the tensile strength threshold includes: Obtain the segment topology information corresponding to each cable segment in the polymer cable; Based on the segmented topology information, deploy stress sensor groups corresponding to each cable segment; Collect dynamic strain data returned by the stress sensor group; The dynamic strain signal is compared with the tensile strength threshold in real time to obtain a real-time comparison sequence; Based on the real-time comparison sequence, the real-time stress data corresponding to each cable segment in the polymer cable is detected.

5. The anchoring system and method for an ocean current power generation platform as described in claim 1, characterized in that, The calculation of the current interference value between the buoy and the ground-lying chain in the pre-set anchoring system during deployment, based on the real-time stress data, includes: Calculate the current interference value between the buoy and the ground chain in the pre-set anchoring system during deployment.

6. The anchoring system and method for an ocean current power generation platform as described in claim 1, characterized in that, The positioning process for the buoy and the three-eyed board in the pre-defined anchoring system, based on the current interference value, includes: Analyze the significant interference intervals corresponding to the aforementioned ocean current interferometry values; Query the high interference points associated with the significant interference interval; Based on the high interference points, locate the dense interference areas corresponding to the float and the three-eye plate in the preset anchoring system; Query the regional deployment rules in the densely interfering region; Based on the aforementioned regional deployment rules, a pre-defined positioning process is constructed for the buoy and the three-eye plate in the anchoring system.

7. The anchoring system and method for an ocean current power generation platform as described in claim 1, characterized in that, The step of performing topological segmentation on the positioning process to obtain an anchoring task block includes: Query the positional distribution of the float and the three-eye plate in the positioning process; Based on the location distribution, identify the topological connection points in the positioning process; Based on the topological connection points, the initial task units corresponding to the positioning process are divided; Analyze the task attributes corresponding to the preliminary task unit; Based on the task attributes, the positioning process is topologically segmented to obtain the anchoring task block.

8. The anchoring system and method for an ocean current power generation platform as described in claim 1, characterized in that, The calculation of the fluid load coefficient corresponding to the fluid fluctuation sequence includes: Calculate the fluid load coefficient corresponding to the fluid fluctuation sequence.

9. The anchoring system and method for an ocean current power generation platform as described in claim 1, characterized in that, The method of constructing a failure avoidance path for the anchoring system under dynamic sea conditions based on the surge disturbance state includes: Query the risk factor identifier corresponding to the surge disturbance state; Based on the risk factor identifier, filter the set of anchor point locations in the anchoring system; Establish the avoidance connection path corresponding to the set of anchor points; Traverse the sequence of path segments in the bypassed connection path; Based on the path segment sequence, a failure avoidance path for the anchoring system under dynamic sea conditions is constructed.

10. A method for anchoring an ocean current power generation platform, characterized in that, The method includes: Obtain seabed topography data corresponding to the target sea area, query the anchorage distribution points in the seabed topography data, analyze the bearing capacity of the points corresponding to the anchorage distribution points, and formulate the anchorage topology rules corresponding to the anchorage distribution points based on the bearing capacity of the points. Based on the dynamic anchoring rules, the cable layout corresponding to the polymer cable in the preset anchoring system is analyzed. Based on the cable layout, the tensile strength threshold corresponding to the polymer cable is queried. Based on the tensile strength threshold, the real-time stress data corresponding to each cable segment in the polymer cable is detected. Based on the real-time stress data, the current interference value between the buoy and the ground chain in the pre-set anchoring system during deployment is calculated. Based on the current interference value, the positioning process corresponding to the buoy and the three-eye board in the pre-set anchoring system is constructed. The positioning process is topologically divided into blocks to obtain anchoring task blocks. The fluid fluctuation sequence corresponding to the anchoring task block is analyzed, the fluid load coefficient corresponding to the fluid fluctuation sequence is calculated, and the tidal time window corresponding to the anchoring task block is constructed based on the fluid load coefficient. Monitor the surge disturbance state corresponding to the tidal time window, construct the failure avoidance path of the anchoring system under dynamic sea conditions based on the surge disturbance state, identify the key buffer nodes corresponding to the failure avoidance path, and formulate the anchoring optimization scheme corresponding to the ocean current power generation platform in the target sea area based on the key buffer nodes.

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