89 results about "Topology design" patented technology

The invention relates to the technical field of structural design, and discloses a topology and size joint optimization design method and system for a hierarchical composite structure, and the method comprises the following steps: dividing a structural domain into a plurality of hierarchical sub-domains, defining the size constraint range of each sub-domain, and distributing a multi-phase material for each sub-domain; grid discretization processing is carried out on the structural domain, a topological design variable is given to each discrete unit, acoustic unit modeling is carried out on the sound field domain, sound pressure boundary conditions are defined, and coupling boundary conditions are applied to the interface of the sound field domain and the structural domain; solving an acoustic-structure coupling equation based on a finite element method, calculating an objective function and constraint conditions, analyzing the sensitivity of the objective function to topological variables by adopting an adjoint method, and iteratively updating the topological design variables through an optimization algorithm until a convergence criterion is met; and on the basis of a topological optimization result, constructing a neural network agent model of an input layer, a hidden layer and an output layer, and carrying out global optimization on sub-domain size parameters by adopting a genetic algorithm so as to minimize a target function.

The invention provides a topology and morphology integrated optimization design method for a thin-walled structure. The method comprises the steps that 1, a finite element model is established according to design requirements; 2, extracting a thin-wall structure morphology distribution field # imgabs0 # through two-step partial differential equation filtering and Heavide projection operation; 3, constructing a material attribute rational approximation model in combination with the thin-wall morphology distribution field # imgabs1 # and the topological density field v obtained in the step 2, thereby obtaining an elastic modulus E and mass rho in a design domain; 4, performing finite element analysis in combination with the material interpolation model, and calculating the flexibility of the structure; 5, solving to obtain the sensitivity of the structure flexibility and the quality relative to the design variables; step 6, updating the morphology design variable mu and the topology design variable v of the thin plate by adopting a moving asymptote method; and step 7, when a convergence condition is satisfied, stopping optimization iteration and outputting an optimization result. According to the method, the maximum forming angle of the thin-wall structure is controlled by adjusting the filtering radius of the anisotropic filter, and the stamping forming process is met.

The invention relates to the technical field of circuit design, in particular to a digital circuit simulation design method and system. The method comprises the following steps: identifying a design demand document, performing deep semantic analysis and demand constraint mining, and constructing a demand specification constraint parameter set; performing demand complexity evaluation and multi-level division according to the demand specification constraint parameter set, and constructing a basic circuit architecture design blueprint; circuit routing path planning is carried out according to the basic circuit architecture design blueprint, and a standardized circuit topology network is constructed; performing electric signal propagation simulation on the standardized circuit topology network, and performing global circuit adaptability adjustment to obtain a circuit topology design scheme; and carrying out an extreme condition simulation test based on the circuit topology design scheme, and carrying out comprehensive performance evaluation to obtain a circuit performance evaluation report. By deeply understanding the user demand intention, the circuit layout matched with the user demand is designed, and the overall circuit performance is improved.

The invention discloses a panel lamp light source integration system based on a flexible circuit board, and relates to the technical field of panel lamp light source integration. Generating an initial design drawing of the flexible circuit board containing a plurality of layers of conductive circuits and a plurality of light source bonding pads; the channel configuration module configures a driving control channel for the bonding pad and establishes a mapping table with the lighting function area; the thermal load optimization module calculates power consumption and thermal load distribution according to the mapping table and the performance parameters and adjusts routing topology to generate a final design drawing; and the manufacturing and assembling module is used for manufacturing a circuit board according to the drawing and mounting a micro light source to finish assembling. Wiring is matched with the shape of a panel and the characteristics of a light source during planning, heat distribution optimization is achieved in the layout stage, the number of times of modification is reduced, and local overheating is restrained. According to the invention, high-fit compact integration of the flexible circuit board and the panel lamp is realized, and the assembly efficiency and the operation stability are improved.

The invention discloses a lightweight topological optimization and assembly control method for a wood-aluminum composite facade, and belongs to the technical field of digital twinning and intelligent construction, and the method comprises the steps: generating a cross-scale parameterized twinning entity; performing iterative optimization by taking the life cycle value as a target to generate a topology design scheme; the scheme is deconstructed into an intelligent construction instruction set; the assembly deviation is calculated by comparing the twinborn model with field actual measurement data; and updating the twin entity based on the deviation feedback. According to the method, a co-evolution architecture combining cross-scale digital twin modeling, full life cycle value optimization and virtual-real fusion closed-loop assembly control is adopted, factors such as material microscopic characteristics, manufacturing cost and long-term durability can be brought into initial design, and self-adaptive correction is carried out on errors in the physical construction stage; and the global optimality of the complex composite structure design and the accuracy and reliability of the physical construction process are remarkably improved.

A method for topological design optimization in which a number of objective scattering(S) parameters are initially decomposed into a product of smaller devices (primitives). Each of the primitives are optimized in parallel using inverse design; and the topologies of the smaller devices are then composited into a final device design region, in which the final device design region is an initialization of a final optimization, advantageously saving computation time. According to at least one embodiment, the herein described optimization procedure can be utilized in order to design a composite power combiner that is essentially phase-insensitive.

The invention provides an electric two-wheeled vehicle topological structure optimization method and system based on a W algorithm, and relates to the technical field of electric two-wheeled vehicle topological structure optimization. The method comprises the following steps: collecting performance data, structural parameter data and working condition data of the whole electric two-wheeled vehicle and key parts; and constructing a topological structure initial model based on the improved convolutional neural network, and inputting core features to output a preliminary topological design scheme. And constructing a topology scheme evaluation model based on a fuzzy analytic hierarchy process, and obtaining a comprehensive evaluation score of the preliminary topology design scheme. And constructing a multi-target topological optimization model, and solving to generate a plurality of groups of candidate topological optimization schemes. And solving to obtain an optimal topological structure scheme. According to the method, the multi-target model is used, the W algorithm is used for solving, the improved convolutional neural network and the fuzzy analytic hierarchy process are combined, the performance cost balance is achieved, the design efficiency is improved, the scheme practicability is enhanced, the algorithm framework is extensible, data can be reused, and enterprise innovation is assisted.

The invention provides a power collection system topology optimization method and device based on a variable weight minimum spanning tree, and relates to the technical field of offshore wind power topology optimization. The method comprises the following steps: grouping a plurality of fans based on the angle difference among the plurality of fans according to the position information of the offshore booster station to obtain a plurality of fan sets; a Delaunay triangulation method is adopted to construct a reference grid connecting line of each fan set; and based on the reference grid connection line of each fan set, generating the optimal topology of the to-be-processed offshore current collection system based on a variable weight minimum spanning tree algorithm. According to the method, the grouping clustering method, the Delaunay triangulation method and the variable weight minimum spanning tree algorithm are combined, and the topology design of the offshore wind plant current collection system is efficiently, economically and rapidly achieved. According to the invention, topological connection and cable specification type selection can be optimized synchronously, and a global optimal solution is sought between the cable path length and the type cost difference caused by the change of the current-carrying capacity, so that the fine control of the overall cost of the current collection system is realized.

The present invention discloses a multi-objective thermal-fluid topological design optimization method for the cooling element of a precision gear grinding machine tool, comprising the following steps: Step 1: Define the design domain: Expand the cooling element into a plane, define a two-dimensional design domain representing the cooling element's geometric structure, and discretize it using the finite element method; Step 2: Numerical modeling: Model the cooling element as a porous medium; Under the conditions of laminar incompressible flow, the fluid dynamics are governed by the dimensionless forms of the continuity equation and the momentum equation; The fluid-solid coupled heat transfer model is governed by the dimensionless energy conservation equation; Step 3: Construct an objective function: The optimization objective is defined as a weighted function of heat transfer and fluid dissipated power, and a fluid-solid heat transfer topological optimization model is constructed; Step 4: Solve the objective function; Step 5: Restore the shape and structure of the cooling element. The present invention also discloses a precision gear grinding machine tool and a cooling element.

The invention discloses a hierarchical step-by-step multi-target genetic optimization method for a multi-port composite magnetic flux modulation motor. The method comprises the following steps: determining a basic topological structure of the motor and completing a preliminary topological design; constructing a parameterized model of the multi-port composite magnetic flux modulation motor, and screening all variables possibly influencing the performance of the motor; defining an optimization target and related constraint conditions of the multi-port composite magnetic flux modulation motor, and selecting performance target parameters sensitive to a power transmission system of the hybrid electric vehicle; on the basis of analysis of multiple operation conditions of the motor, in order to ensure that optimization can be realized under all the operation conditions, a step-by-step optimization method is adopted for the multi-port composite magnetic flux modulation motor, and an optimization result of the previous step is used as an initial scheme of the next step; and drawing a Pareto curve optimized in each step, and screening out an optimal topological structure from the curve as an optimization result. The invention provides a simpler and more convenient and high-precision optimization strategy for the multi-port composite motor.

The invention provides a large-scale low-orbit constellation topology construction method and system based on the reliable reachable distance of an optical transceiver and a storage medium, and the method comprises the steps: 1, building an inter-satellite laser link probability evaluation model based on the capturing probability of an aiming-capturing-tracking system and the motion characteristics of satellites; 2, on the basis of the inter-satellite laser link probability evaluation model, constructing a giant satellite network topology evaluation model with inter-satellite link time average stability, satellite hop count and communication time delay as core optimization targets, and outputting a globally optimized laser link connection scheme; and 3, for a laser link connection scheme, proposing a giant constellation network topology design algorithm based on a capture probability, and constructing a constellation topology by adopting a minimum unit of a space symmetric constellation. The method has the beneficial effects that the constellation topology is constructed by adopting the minimum unit of the space symmetric constellation, so that the topological structure is stabilized, the channel gain is improved, the end-to-end delay is shortened, and the average hop count and the variance of the network are reduced.

The application provides an isometric topology optimization method and device based on thermal elastic metamaterial design, and relates to the field of isometric topology optimization. The method comprises the following steps: constructing a multi-material interpolation model corresponding to the thermal elastic metamaterial, and obtaining a plurality of groups of density distributions corresponding to a plurality of solid materials in the thermal elastic metamaterial design domain according to the multi-material interpolation model, one solid material corresponding to one density distribution; obtaining the relationship interpolation between the plurality of groups of density distributions, and obtaining the elastic modulus and the thermal expansion coefficient according to the relationship interpolation; calculating the equivalent elastic matrix corresponding to the thermal elastic metamaterial according to the elastic modulus, and calculating the thermal expansion coefficient matrix corresponding to the thermal elastic metamaterial according to the thermal expansion coefficient; performing discrete form processing on the calculation equations of the equivalent elastic matrix and the thermal expansion coefficient matrix through the isometric grid, constructing a constraint function according to the equivalent elastic matrix, constructing an objective function according to the thermal expansion coefficient matrix, and calculating the sensitivity information corresponding to the first design variable through the objective function and the constraint function; updating the first design variable according to the sensitivity information until the thermal expansion coefficient meets the convergence condition, and obtaining the second design variable when the convergence condition is met through the isometric topology design model of the negative thermal expansion metamaterial; and optimizing the thermal elastic metamaterial according to the second design variable. The application solves the problem that the finite element method is difficult to guarantee the efficient and high-precision design of the thermal elastic metamaterial when dealing with complex geometric structures.

The invention discloses a salinized frozen soil roadbed multi-parameter coupling monitoring method, and relates to the field of salinized frozen soil area roadbed monitoring, and the method comprises the steps: executing field investigation and demand analysis, outputting a field investigation and monitoring demand analysis report, executing a sensor network intelligent dynamic topology design, and outputting an intelligent dynamic sensor network layout detailed drawing. According to an intelligent dynamic sensor network layout detailed drawing, sensor preparation, verification and drilling channel construction are executed, and drilling holes and channels are output; cooperative arrangement, installation and fixation of a multi-parameter sensor are executed, an on-site sensing network is output, cables are led out and connected to an integrated data acquisition box in a tandem mode, cable tandem is executed, system integration and acquisition box installation and debugging are carried out, and an integrated on-site monitoring station is output. According to the method, the ultimate targets of comprehensive, synchronous and accurate monitoring and intelligent early warning of the roadbed water-salt-thermal coupling migration process are achieved, and the fundamental problems of data splitting and analysis lagging of a traditional method are effectively solved.

The invention discloses a wind power plant current collection system topology design method and system based on an improved genetic algorithm, relates to the technical field of system topology design, and aims to solve the core problems of collaborative optimization of fan grouping and submarine cable connection and accurate matching of current-carrying capacity and cost under high-dimensional constraints. According to the method, a parameter calculation module is combined with a formula to determine the maximum feeder fan number and the number range, a grouping connection module combines polar coordinate grouping with a minimum spanning tree algorithm to construct an initial scheme, a cost modeling module calculates the cost through an exclusive function, and an iterative optimization module dynamically adjusts the grouping and fan number based on an improved genetic algorithm. And the constraint screening module eliminates violation schemes through a penalty formula, and finally generates optimal and suboptimal topological graphs containing core parameters. According to the method, the high-dimensional optimization problem is layered and disassembled, the constraint satisfaction degree and the economical efficiency are considered, the submarine cable investment cost is greatly reduced, the design efficiency and the engineering feasibility are improved, and the method is suitable for topology design of various offshore wind plant current collection systems.

The application discloses a kind of wind farm power collection system topology design method and system based on improved genetic algorithm, it is related to system topology design technical field, to solve the core problem of wind turbine grouping and submarine cable connection collaborative optimization under high-dimensional constraint, accurate matching of load flow and cost.The method determines the maximum number of wind turbines and the number range of feeder by parameter calculation module simultaneous equations, grouping connection module constructs initial scheme by polar grouping combined with minimum spanning tree algorithm, cost modeling module calculates cost by exclusive function, iteration optimization module dynamically adjusts grouping and the number of wind turbines based on improved genetic algorithm, constraint screening module excludes illegal scheme by penalty formula, and finally generates optimal and suboptimal topology graph containing core parameters.The application divides high-dimensional optimization problem into layers, considers constraint satisfaction degree and economy, significantly reduces submarine cable investment cost, improves design efficiency and engineering feasibility, and is suitable for various offshore wind farm power collection system topology design.

The invention discloses a structural response analysis and robustness topological optimization design method based on a convolutional neural network, and belongs to the technical field of structural response analysis and topological design. Comprising the steps that sensitivity analysis and substructure unit modulus clustering of a substructure numerical value shape function about substructure unit moduli are carried out, and substructure sampling and sample transformation under a level set method framework are carried out; constructing a convolutional neural network between the substructure numerical value shape function and the substructure unit modulus and a continuum structure topological optimization model, and defining input of the continuum structure topological optimization model; based on the structure statics response analysis of the extended multi-scale finite element, the displacement response solution of the whole structure is realized; and carrying out topological optimization model sensitivity calculation, level set function updating and convergence determination. According to the method, a network structure with fewer layers and lighter weight is adopted, the neural network model is simplified, and the difficulty of neural network training is reduced.

The application discloses a method and device for constructing a folded hypercube edge-disjoint Hamiltonian cycle, and relates to the technical field of interconnection network topology. The method comprises the following steps: recursively constructing a first Hamiltonian cycle on an n-dimensional folded hypercube; applying a mapping f to each vertex u in the first Hamiltonian cycle, and sequentially connecting the mapped vertices in the original order to obtain a second Hamiltonian cycle; and the first Hamiltonian cycle and the second Hamiltonian cycle do not have any common edge in the n-dimensional folded hypercube. The above method provides key technical support for the topology design and routing protocol of a high-performance parallel computing system.

The invention discloses an underground large-space building targeted air supply design method based on fluid topological optimization, which comprises the following steps: establishing an underground large-space two-dimensional section geometric model, and determining a fluid topological design domain, a targeted air supply area and a fluid inlet and outlet; establishing a multi-objective optimization function by taking an optimization objective that both the airflow velocity and the airflow uniformity of the targeted air supply area reach preset values; and based on the established multi-objective optimization function, setting constraint and boundary conditions, carrying out topological optimization solution by adopting an MMA method, and outputting an optimal flow channel topological layout. According to the method, the air port layout is optimized by establishing the multi-objective optimization function of the airflow speed and the airflow uniformity, so that the balance of the airflow speed and the airflow uniformity in the working area is realized, and the problems of non-uniform air speed, strong blowing feeling and the like in the traditional airflow organization are solved.

The invention discloses a low-voltage power distribution network flexible topology construction method, system and device for new energy access and a medium, and belongs to the technical field of power distribution network topology construction, and the method comprises the steps: collecting the operation data of a low-voltage power distribution network, carrying out the preprocessing of the operation data, and building a power distribution network topology model comprising a node set, an edge set and a weight matrix; constructing a multi-objective optimization model based on the power distribution network topology model; solving the multi-objective optimization model by adopting an improved genetic algorithm to obtain an optimal topological structure; and judging a topology change triggering condition according to an operation state monitoring result, and executing an optimal topology scheme in combination with an intelligent switch and a flexible interconnection device to realize real-time dynamic reconstruction of the power distribution network topology. According to the method, the intermittent, random and bidirectional characteristics of new energy are fully considered, the pertinence and effectiveness of topology design are improved, and the transformation of the power distribution network from a traditional static structure to a flexible dynamic structure is realized in combination with the intelligent switch and the flexible interconnection device.

The invention belongs to the technical field of temperature control equipment, and particularly relates to a one-source two-channel intelligent modulation frequency doubling light system based on an ILTA-EDFA-IQ-PPLN integrated architecture, which comprises a light path execution subsystem, a light path control subsystem, a light path control subsystem and a light path control subsystem, the device comprises a narrow linewidth laser, at least one erbium-doped optical fiber amplifier, at least one IQ orthogonal optical signal modulator, at least one periodically poled lithium niobate nonlinear frequency doubling device and a plurality of optical splitters, and is used for generating and regulating the conversion from 1560nm-waveband laser to 780nm-waveband laser; according to the invention, through a'one-source dual-channel 'topological design, high-stability narrow-linewidth laser and high-power adjustable laser are provided at the same time, and the function flexibility of the system is improved. According to the design, the system can adapt to multi-scene requirements in atom detection, such as cold atom interference, atom cooling capture and atom excitation detection, and multiple sets of laser systems do not need to be additionally configured, so that the use cost and complexity are reduced.

This invention discloses an optimization design method for lightweight torsion springs used in robots. The method includes the following steps: First, setting design objectives and constraints, with minimizing spring mass as the optimization objective. Constraints include stiffness, maximum stress, torque capacity, and maximum thickness. Then, material selection and topology design are performed, using chromium vanadium steel and designing three sets of symmetrically distributed wave-shaped spring structures. Next, a three-dimensional parametric model is established in a finite element environment, and simulation analysis is conducted to obtain key performance indicators. Further, based on the Latin hypercube sampling method and the Kriging surrogate model, the spring thickness and transition fillet radius are modeled and predicted, and a multi-objective genetic algorithm is used for global optimization to obtain the optimal structural parameters. Finally, physical processing and experimental verification are performed based on the optimization results. This invention can achieve significant weight reduction, reduce stress concentration, and extend service life while ensuring low stiffness and high torque capacity.

The invention relates to a wireless power transmission technology, belongs to the technical field of power generation, power transformation or power distribution, and discloses a universal generalized electric field coupler model. The model is composed of a primary side equivalent capacitor, a controlled source module and a secondary side equivalent capacitor and has the advantages of being universal in structure and adjustable in parameter. The model has additional design freedom, key parameters can be flexibly adjusted, and optimization design of a compensation network is facilitated to meet the requirements of various application scenes. The provided model is suitable for different types of electric field coupler structures, has good universality, can significantly simplify the modeling analysis and topology design process of the wireless power transmission system, and improves the design efficiency and flexibility of the system.

The invention discloses a high-speed aircraft aerodynamic topology design method based on a level set method. The method comprises the steps that 1, a flow field control equation containing a high-speed physical model and a structural analysis model are established; 2, defining an optimization problem taking a lift-drag ratio, a lift coefficient or a resistance coefficient as a target function and taking a volume or an area as a constraint condition; 3, implicitly describing the boundary of the aerodynamic contour of the aircraft by adopting a level set function, and converting an optimization problem into an evolution problem of the level set function; 4, efficiently calculating shape sensitivity information of the objective function about the level set function by solving the adjoint equation; and 5, based on the shape sensitivity information, constructing and solving a level set evolution equation, and driving the aerodynamic boundary to automatically evolve to a topological structure with better performance until convergence. The method solves the problem that an existing parameterization optimization method is difficult to realize automatic evolution of an aerodynamic configuration topological structure and accurate capture of shock waves in a high-speed flow field.

The invention relates to an offshore wind power jacket pipe joint component design and manufacturing method, which comprises the following steps of: establishing a pipe joint parameterized geometric model by taking a deep sea shellfish shell growth mechanism as an initial topological structure; inputting the extreme environmental parameters of the sea area into a pre-constructed GAN model, performing fitting training by a generator in the GAN model, and outputting a gradient material space distribution scheme of jacket pipe nodes; performing optimization processing on the gradient material space distribution scheme based on a multi-target genetic algorithm to obtain an optimal solution of a target stress gradient and material distribution; by utilizing the growth mechanism of a deep-sea shellfish shell, the topological design of the pipe joint is realized, a large number of structural simulation analysis data and parameters are provided, the wall thickness of a steel plate of the pipe joint can be obviously reduced, the stress concentration phenomenon at the pipe joint is changed, the fatigue performance of the joint is improved, and meanwhile, the comprehensive manufacturing cost of the overall structure of the jacket is greatly reduced.

Disclosed are systems and methods that provide a computerized network management framework that provides functionality for devices connected to and / or operating in proximity to WiFi networks. The framework can determine and implement functionalities for the design of a network topology, whereby redundant pathways can be ensured by providing multiple paths for data between nodes, enhancing reliability and load balancing. The disclosed framework can enable automatic reconfiguration if a node fails or new nodes are added, such that an automatic topology adaptation to current environments / conditions is provided. The framework provides a mesh solution that is dependent on each location's unique client landscape that provides functionality for customized mechanisms to inject device information into the mesh topology optimization.

The application discloses an intelligent topological design method for a middle-deep geothermal pipe group layout, which comprises the following steps: obtaining geothermal geological parameters and geothermal indexes of a region to be designed, performing space division and constructing a geothermal balance evaluation index system, calculating a geothermal balance score of the region to be designed, obtaining historical data of a geothermal pipe group to construct a geothermal pipe group database, performing heat exchange simulation on a topological model of the geothermal pipe group to obtain a topological optimization coefficient, determining a topological design target function and a topological design constraint condition of the geothermal pipe group, performing multi-level matching to obtain a reference geothermal pipe group topological structure, and optimizing the reference geothermal pipe group topological structure according to the topological design target function of the geothermal pipe group to obtain an optimal geothermal pipe group topological structure. The method can significantly improve the extraction efficiency of geothermal energy and the economy of a geothermal system, and is of great significance to the intelligent development of the layout design of the geothermal pipe group.

A method, apparatus, and system for network slice instance topology design may be provided and may include, receiving, by a network service management function of a network, at least one input slice / service requirement; generating, by the network service management function, a network slice instance (NSI) and network slice subnet instance (NSSI) topology and configuration design based on the at least one input slice / service requirement using a network slice design function; previewing, by the network service management function, the generated design including outputting design phase feasibility result for the design; sending, by the network service management function, an input service profile and NSI / NSSI design guidance to a network slice management function (NSMF) of the network based on the design; and sending, by the network service management function, an input slice profile and NSSI design guidance to a network slice subnet management function (NSSMF) of the network based on the design.

An additive topological design optimization method comprises the following steps that a structural model of a part to be optimized is established, and topological optimization, geometric reconstruction and automatic grid division are conducted on the structural model; a rigidity description parameter, a strength description parameter and a process forming quality description parameter are calculated respectively, inspection is carried out according to a given inspection standard, optimization iteration is carried out again when the inspection standard is not met until the inspection standard is met, and an optimization model is obtained; and finally, outputting the optimization model as a data format required by additive manufacturing pretreatment. According to the method, the efficiency of additive design optimization can be achieved, labor hours are reduced, and automatic processing is facilitated. The invention further provides a computing device.

The application discloses a rear baffle disc partition topology optimization method and system based on multi-feature K means, and the method comprises the following steps: firstly, discretizing a rear baffle disc design domain and initializing variables; in iteration, generating physical density by density filtering and Heaviside projection, and solving a displacement field; in the initial stage, global maximum stress is taken as a constraint for optimization, and after the change rate of the structure mass is stabilized, a multi-feature K means partition model is switched; the model fuses unit stress, density and geometric distance features to carry out clustering partition, predicts stress evolution trend based on a transition factor, and dynamically regulates stress constraints of each sub-area by using a sub-area relaxation coefficient and an iterative correction mechanism; and finally, a lightweight topology structure with clear partition and uniform stress distribution is output. Through the density optimization, feature K means dynamic partition and adaptive stress regulation technology guided by the transition factor, the application realizes the lightweight topology design of the rear baffle disc with clear partition, uniform stress and strong manufacturability.

This invention discloses a topology design method for offshore wind farm collection systems based on reinforcement learning, belonging to the field of new energy and power system engineering. This method combines an objective function with various constraints to establish a bilateral ring topology planning model for the offshore wind power collection system. Simultaneously, it constructs an evaluation-improvement iterative framework based on policy gradient reinforcement learning. Furthermore, through policy network evaluation, dynamic parameter updates, and operator orchestration, reward signals guide the model's learning of the mapping between the learning state and the optimal operator. A threshold-triggered global perturbation exploration mechanism is introduced to effectively escape local optima while keeping costs relatively constant. Iterative optimization of the topology is achieved through the evaluation-improvement iterative framework. This method is adaptable to wind farms of different turbine sizes, offering superior optimization performance, solution efficiency, and robustness, providing an economical and reliable topology design solution for offshore wind farm collection systems.