127 results about "Topology design" patented technology

The invention relates to the technical field of fluid pipeline topological optimization, in particular to a fluid pipeline topological optimization design method based on a parameter simulation model. The method comprises the following steps of performing parametric modeling on a fluid pipeline to obtain a pipeline topology geometric parameter set; according to topological feature identification of the pipeline topology geometric parameter set, obtaining pipeline topology description data; constructing a multi-physics field equation set according to the pipeline topology description data to obtain a pipeline coupling field basic equation set; carrying out characteristic decomposition on the pipeline coupling field basic equation set to obtain a pipeline decoupling equation set; performing iterative solution on the pipeline decoupling equation set to obtain a pipeline multi-physics field coupling solution; performing sensitivity coefficient evaluation according to the pipeline multi-physics field coupling solution to obtain pipeline physics field sensitivity; and performing time domain integral response analysis on the pipeline physical field sensitivity to obtain the contribution degree of the pipeline physical field. According to the method, the deviation between the topological design and the practical application of the fluid pipeline can be obviously reduced.

The present disclosure provides a weakly-centralized frequency regulation control method of a charge station cluster based on virtual leader and a medium. Firstly, based on the control strategy of the virtual synchronous generator and the requirements of the electric vehicles and the charge stations, an architecture of the virtual synchronous generator of the electric vehicles and the charge stations is established. Secondly, based on the control strategy of the collaborative topology design of multiple charge stations, a virtual leader is determined and a weakly-centralized consistency algorithm is designed. Finally, a control strategy of the collaborative frequency regulation of the charge station cluster is proposed to achieve the weakly-centralized frequency regulation control of the charge station cluster.

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.

A mechanistic nested topological design optimization method for using Convolution-Hierarchical Deep-learning Neural Network Tensor Decomposition (C-HiDeNN-TD) comprises (1) obtaining at least one design variable and at least one design requirement; (2) decomposing the at least one design variable into at least one equation in each of at least two directions; (3) solving the at least one design variable in each of the at least two directions using a C-HiDeNN-TD solver to obtain at least one part design; and (4) outputting an optimal design based on the at least one part design when the optimal design meets the least one design requirement.

The invention discloses a topological design method and system for a multi-port flexible interconnection system, and relates to the technical field of power systems, and the method comprises the steps: designing a topological structure based on a power distribution network demand objective function and constraint conditions; based on the topological structure, a model is constructed for simulation verification, and a simulation verification result is obtained; and optimizing the topological structure based on a simulation verification result. According to the topology design method of the multi-port flexible interconnection system, the multi-port flexible interconnection system technology is introduced, the particle swarm optimization algorithm and the analytic hierarchy process are combined, and systematic optimization design of equipment layout and a topology connection mode is achieved. Compared with a traditional method, the dynamic adaptive capacity and the system stability of the power distribution network are improved, different load changes and fault conditions can be effectively handled, and the recovery time after system faults is shortened. Meanwhile, the optimized scheme has better performance in the aspects of cost effectiveness, flexibility and the like, and the reliability and effectiveness of the design scheme in actual operation are ensured.

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 discloses a multi-vehicle-queue cooperative control method based on distributed model predictive control, and the method comprises the following steps: constructing a multi-vehicle-queue system and a dynamic model, building a one-way communication topological structure, defining the coupling constraint of vehicles and queues based on the communication topological structure, and carrying out the prediction of the multi-vehicle-queue cooperative control. Constructing a distributed model predictive control optimization problem and a cost function, wherein the distributed model predictive control optimization problem comprises a vehicle node local optimization problem, a queue global optimization problem and a multi-target optimization problem; and solving an optimization control problem for each vehicle node, and adjusting the control input and the motion state of each vehicle. According to the technical scheme, dynamic synchronization and stable control between vehicles and between queues are achieved by means of one-way communication topology design, introduction of coupling constraints inside the queues and between the queues, construction of a local optimization problem and combination of a global coordination mechanism, and the cooperative control performance of a multi-vehicle queue system in a complex dynamic environment can be effectively improved.

The invention provides an isogeometric topology optimization method and device based on thermoelastic metamaterial design, and relates to the field of isogeometric topology optimization. The method comprises the following steps: constructing a multi-material interpolation model corresponding to a thermoelastic metamaterial, and obtaining multiple groups of density distributions corresponding to multiple solid materials and one density distribution corresponding to one solid material in a thermoelastic metamaterial design domain according to the multi-material interpolation model; obtaining a relation interpolation among the multiple groups of density distributions, and obtaining an elastic modulus and a thermal expansion coefficient according to the relation interpolation; calculating an equivalent elastic matrix corresponding to the thermoelastic metamaterial according to the elastic modulus, and calculating a thermal expansion coefficient matrix corresponding to the thermoelastic metamaterial according to the thermal expansion coefficient; performing discretization form processing on the calculation equations of the equivalent elastic matrix and the thermal expansion coefficient matrix through an isogeometric grid, constructing a constraint function according to the equivalent elastic matrix, constructing a target function according to the thermal expansion coefficient matrix, and calculating sensitivity information corresponding to the first design variable through the target function and the constraint function; updating the first design variable according to the sensitivity information until the thermal expansion coefficient meets a convergence condition, and acquiring a second design variable meeting the convergence condition through geometric topology design models such as a negative thermal expansion metamaterial; and performing optimization design on the thermoelastic metamaterial according to the second design variable. The problem that when a complex geometric structure is processed, a finite element method is difficult to guarantee efficient and high-precision design of the thermoelastic metamaterial is solved.

The invention belongs to the technical field of design optimization methods of connecting rod jumping mechanisms, and particularly relates to a topology design optimization method and optimization structure of a connecting rod jumping mechanism. According to the method, division of a design domain and a non-design domain is provided based on optimization of the connecting rod jumping mechanism, and jumping mechanism design can be carried out on the premise of ensuring calculation convergence and high efficiency. Meanwhile, after the connecting rod configuration meeting the functional requirements is obtained, a method for optimizing the size parameters of the connecting rod and the number, the rigidity value and the installation position of the energy storage spring based on the angle of energy is provided. Compared with a traditional method for optimizing the size parameters of the connecting rod, the method avoids the situation that the relation between the position of each rod piece and the input angle is established through formula derivation, the position of the rod piece at each moment is obtained based on the energy minimization principle, automatic comprehensive optimization of different connecting rod configurations can be achieved, and the calculation efficiency can be effectively improved.

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 discloses an energy storage networking type inverter with double input interfaces and a control method thereof. The inverter mainly comprises two direct current inputs, seven switch tubes, two diodes and a load. Aiming at the problems of numerous switching devices, single application scene, low energy supply stability and the like of a traditional multi-level inverter, the energy storage network-building type inverter with the double input interfaces and the control method thereof realize an inversion function of an energy storage network-building type converter through a topology design and a control method according to characteristics and inversion requirements of double direct current input sources; multi-level is realized by using seven switch tubes, and the circuit structure is simplified; compared with a traditional multi-level inverter, the multi-level inverter has the advantages that the number of switching tubes is reduced, the system complexity and cost are reduced, in addition, the stability and flexibility of the system are enhanced through the design of the double input interfaces, the working mode can be automatically adjusted according to different energy supply conditions, the energy utilization efficiency is optimized, and the application scene of the inverter is widened.

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 invention relates to the technical field of power system network topology optimization, in particular to an offshore wind plant current collection system topology optimization method and system oriented to global optimum, and the method comprises the steps: collecting coordinate position data of all wind driven generators; carrying out site selection on the offshore transformer substation through a fuzzy C-means algorithm; connecting all candidate cables based on the coordinate position data of the wind driven generator; a topological optimization problem of a current collection system of an offshore wind plant is formulated based on an MILP model of power network extension planning, an optimized objective function is established, constraint conditions are set, and the objective function aims at minimizing the total cost of current collection system planning of the offshore wind plant; and optimizing and solving the MILP model to obtain an optimal topology design scheme. According to the method, various physical and economic constraints in the offshore wind power plant current collection system are simulated based on the MILP optimization model, the optimal current collection system layout can be generated, and the power transmission loss can be accurately evaluated.

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 present invention belongs to the technical field of connecting rod jump mechanism design optimization methods, and specifically relates to a topological design optimization method and optimized structure of a connecting rod jump mechanism. Based on the optimization of the connecting rod jump mechanism, the present invention proposes the division of design domain and non-design domain, which can ensure the calculation convergence and high efficiency to design the jump mechanism. At the same time, after obtaining the connecting rod configuration that meets the functional requirements, an optimization method for the connecting rod size parameters and the number of energy storage springs, stiffness value and installation position based on the energy angle is proposed. Compared with the traditional method for optimizing the connecting rod size parameters, the method of the present invention avoids establishing the relationship between the position of each rod and the input angle through formula deduction, but obtains the position of the rod at each moment based on the principle of energy minimization, which can realize the automatic comprehensive optimization of different connecting rod configurations and can effectively improve the calculation efficiency.

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 intelligent metasurface topology design method, device, equipment and medium provided by the present invention include: establishing an initial model of an intelligent metasurface unit; adding a plurality of discrete patches on the metal patch layer to establish a reflection coefficient model of the initial model of the intelligent metasurface unit; starting from the maximum number of rows and columns, reducing the number of rows or columns in turn to construct different topologies; constructing an objective function based on the reflection coefficient and using an optimization algorithm to screen the topologies, and judging whether the optimized objective function of each topology meets the design requirements until the topology with the smallest design area is obtained; using the optimized objective function combined with the number of discrete patches in the topology to optimize the topology with the smallest design area; removing the unconnected discrete patches and adjusting the positional relationship between the patches to obtain the intelligent metasurface unit. The present invention can adaptively miniaturize the intelligent metasurface unit without affecting the working effect.

The invention relates to an answer determination method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: decomposing problem information associated with a product networking topology design to obtain multiple pieces of sorted sub-problem information; inputting each piece of sub-question information into a pre-trained question processing model in sequence to obtain answer information corresponding to each piece of sub-question information; any one piece of sub-question information except the first sub-question information in the sub-question information carries prompt information, and the prompt information carried by the any one piece of sub-question information comprises sub-question information arranged before the any one piece of sub-question information and answer information corresponding to the sub-question information; and determining target answer information corresponding to the question information according to the answer information corresponding to each piece of sub-question information. By adopting the method, the answer determination accuracy can be improved.

The invention discloses a multi-objective heat-flow topology design optimization method for a cooling element of a precise gear grinding machine tool, which comprises the following steps of: 1, defining a design domain: unfolding the cooling element into a plane, defining a two-dimensional design domain representing the geometric structure of the cooling element, and discretizing by adopting a finite element method; step 2, numerical modeling: modeling the cooling element into a porous medium; under the condition that laminar flow cannot be compressed, the fluid dynamics is controlled by a dimensionless form of a continuity equation and a momentum equation; the fluid-solid coupling heat transfer model is controlled by a dimensionless energy conservation equation; 3, constructing an objective function, wherein an optimization objective is defined as a weighting function of heat transfer and fluid dissipation power, and a fluid-solid heat transfer topological optimization model is constructed; 4, solving the objective function; and 5, recovering the shape structure of the cooling element. The invention further discloses a precise gear grinding machine tool and a cooling element.

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.