38 results about "Rigid body model" patented technology

The invention relates to the field of intelligent equipment control and industrial automation, in particular to an intelligent equipment butt-assembling cooperative control system with multi-axis linkage compensation. The data acquisition module is used for acquiring current, force / torque, temperature, position and speed data under a unified time reference; the benchmark reconstruction module is used for generating an ideal position benchmark and an ideal force / torque benchmark on the basis of an ideal rigid body model under a preset reference coordinate system; the parameter injection module is used for injecting thermoelastic deformation, rigidity attenuation and hysteresis friction parameters to generate a theoretical simulation state; constructing a double-track difference module of a real residual error and a theoretical residual error; the coupling judgment module is used for carrying out time sequence similarity verification and generating a state judgment result; the feedback control module is used for outputting a multi-axis linkage compensation instruction or a compliant return instruction; according to the invention, inherent drift and real assembly interference of equipment can be distinguished, and stable compensation and safe concession control are realized.

This invention discloses a method and apparatus for evaluating the mechanical properties of high-voltage wiring harnesses. The method includes: constructing a rigid-flexible coupling model of the entire vehicle, comprising a rigid body model of the vehicle and a flexible cable model of the high-voltage wiring harness within the vehicle; performing a driving simulation on the rigid-flexible coupling model of the entire vehicle under target operating conditions to obtain a first motion simulation result of the high-voltage wiring harness, and then determining a first mechanical property evaluation result based on this result; performing a stress simulation on the flexible cable model based on the first motion simulation result to obtain a second motion simulation result for each fixed clip node; and performing a mechanical property simulation on each fixed clip node based on the second motion simulation result to obtain the corresponding second mechanical property evaluation result. This invention solves the technical problem that related technologies, which use a decentralized and static approach, cannot accurately evaluate the mechanical properties of high-voltage wiring harnesses, thus hindering the accurate analysis of failure modes of high-voltage wiring harnesses during long-term service.

The application provides a cuttable interactive soft body simulation method and system based on a GPU accelerated material point method, and belongs to the field of computer graphics physics simulation, and comprises the following steps: S1: sampling and initializing a three-dimensional soft body model to be simulated and a rigid body model interacting with the three-dimensional soft body model; S2: constructing an initial GPU secondary sparse acceleration structure Ggrid based on a virtual scene to be simulated; S3: extending the Ggrid; S4: updating the state of the rigid body model and constructing a rigid body cutting field of the Ggrid; S5: solving a physical explicit integration of the three-dimensional soft body model to be simulated in parallel based on the Ggrid and the rigid body cutting field, and obtaining the position of a Lagrange particle at the next time; and S6: at the last iteration of each frame, reconstructing a surface triangular mesh mesh of the Lagrange particle cluster in real time based on the Ggrid, and smoothing the surface triangular mesh mesh. The method realizes multi-material soft body deformation, cutting interaction, fragmentation and real-time surface reconstruction.

This invention discloses a control method, device, and medium for a quadruped robot integrated robotic arm system, belonging to the field of quadruped robot integrated robotic arm system control. The method includes: Step 1, using a trajectory optimization algorithm based on a single rigid body model, obtaining the quadruped robot's motion prior through a manually defined movement trajectory, and inputting the adversarial motion prior into a reinforcement learning network for training; Step 2, generating feasible trajectories for the robotic arm using a trajectory planner based on model predicted path integrals, and executing trajectory commands through a vector field-based trajectory follower; Step 3, combining the system's ontology perception, historical observations, and target point information and inputting them into a target-conditional reinforcement learning network to obtain the movement trajectory and control the system's movement. This method has stronger motion capabilities and safety, enabling the system to complete movement tasks in various unstructured environments, and has low computational complexity.

The invention discloses a control method and device for an integrated mechanical arm system of a quadruped robot and a medium, and belongs to the field of control over the integrated mechanical arm system of the quadruped robot. The method comprises the following steps: step 1, using a trajectory optimization algorithm based on a single rigid body model to obtain a quadruped robot movement operation motion priori of a system through an artificially defined movement operation trajectory, and inputting the quadruped robot movement operation motion priori into a reinforcement learning network for training through adversarial motion priori; 2, generating a mechanical arm feasible track of the system by using a track planner based on model prediction path integration, and executing a track command through a track follower based on a vector field; and step 3, combining ontology perception and historical observation of the system with the information of the target point, inputting the combined information into the target condition reinforcement learning network, obtaining a moving operation track, and controlling the moving operation of the system. The method has higher movement ability and safety, enables the system to complete movement operation tasks in various unstructured environments, and is low in calculation complexity.

The invention relates to the field of intelligent physical training and man-machine interaction, and discloses an interactive martial art immersive teaching system, which obtains macroscopic body movement and microscopic skin vibration signals of a user through a multi-mode acquisition module, and extracts real-time breathing phases in a non-contact manner by using an Euler video enhancement technology and Hilbert transform. On the basis, the system establishes a dynamic coupling mechanism of the breathing phase and the impedance characteristic of the virtual rigid body model, and the dynamic physiological stiffness is used as a physical constraint condition to execute inverse dynamic solution, so that the effective internal stiffness modulated by breathing is quantified. And finally, the immersive feedback module generates a dynamic fluid special effect and tactile feedback according to the gas-force coherence index, and adaptively controls teaching stepping. The technical pain points that in traditional martial art teaching, 'internal strength 'cannot be quantified, and breathing and actions are difficult to cooperate are effectively solved, and digital immersive guiding with shape and gas integration is achieved.

This invention belongs to the field of dynamic modeling of vacuum manipulators, specifically a rigid-flexible coupling modeling and analysis method for vacuum manipulators. The method includes: using a rigid body model to describe the arm and a string model from the continuum domain to describe the steel strip. The rigid body is a finite-degree-of-freedom system, while the continuum is an infinite-degree-of-freedom system. A global space discretization method is used to discretize the infinite-degree-of-freedom system into a finite-degree-of-freedom system. Then, the two finite-degree-of-freedom systems are systematically integrated to obtain the rigid-flexible coupling dynamic equations of the vacuum manipulator. This invention establishes a system dynamic model based on the energy method, with a clear approach, and provides a good solution for dynamic modeling of rigid-flexible coupling systems. It solves the problem that vacuum manipulators lack end-point real-time sensing and cannot perceive the system state in real time to provide state feedback for control.

The invention relates to a heterogeneous agent cluster unified cooperative control message bus system which comprises a control terminal module, a communication transmission module, a message bus abstraction layer, a cooperative control engine and a state feedback mechanism. According to the system, unified control of heterogeneous platforms such as the unmanned aerial vehicle and the ground robot is realized through a standardized protocol, two communication modes of direct connection and relay are supported, and low-delay cooperative control is realized. The system adopts a virtual rigid body model to keep relative position constraint between agents, and natural language instruction analysis and anti-collision verification are realized through a large language model. The system has the advantages of low delay, high synchronization, cross-platform and intellectualization, and is suitable for scenes such as formation performance, cooperative hoisting and air-ground cooperation.

The application provides a component stackability review method and device, electronic equipment and storage medium, belonging to the technical field of intelligent manufacturing, comprising: obtaining an initial three-dimensional model of a target component, setting a quality distribution and an initial motion state of the initial three-dimensional model, and obtaining a rigid body model; performing grid division on the rigid body model to generate grid OBJ data; simulating gravity simulation results of a preset number of target components in a stacked state by using the grid OBJ data; and determining an inclination state of the target components in the stacked state according to the gravity simulation results. The application can effectively solve the limitations of the prior art in complex scenarios, comprehensively evaluate the stability of the components in the stacked state through accurate physical modeling and gravity simulation, and provide a scientific basis for product design optimization by discovering design defects in advance, which not only improves the accuracy and efficiency of the review, but also significantly improves the stability and reliability of the product, reduces the production cost and potential safety risks.

This invention provides a method and related equipment for multi-component coupled simulation of rail vehicles. The method includes acquiring structural parameters of rail vehicle components, constructing multiple rigid body models of vehicle components, and constructing a complete rigid body model of the rail vehicle based on the connection relationships between the components. For either the wheelset or the gearbox, a corresponding first flexible body model is constructed, and this first flexible body model replaces the corresponding rigid body model of the vehicle component in the complete rigid body model, resulting in a multi-component flexible body model. A second flexible body model corresponding to the track is constructed, and a multi-flexible body vehicle dynamics model is constructed based on the second flexible body model and the multi-component flexible body model. For any one of the gearbox, wheelset, and track, a corresponding fault model is constructed. The multi-flexible body vehicle dynamics model and the fault model are input into simulation software to perform multi-component coupled simulation of the rail vehicle. This invention can improve the simulation accuracy of rail vehicles.

The invention provides a component stackable review method and device, electronic equipment and a storage medium, and belongs to the technical field of intelligent manufacturing, and the method comprises the steps: obtaining an initial three-dimensional model of a target component, setting the mass distribution and initial motion state of the initial three-dimensional model, and obtaining a rigid body model; performing grid division on the rigid body model to generate grid OBJ data; simulating a gravity simulation result of a preset number of target parts in a stacked state by using the grid OBJ data; and according to a gravity simulation result, determining an inclined state of the target component in the stacked state. According to the method, the limitation of the prior art in a complex scene can be effectively solved, through accurate physical modeling and gravity simulation, the stability of the parts in the stacking state is comprehensively evaluated, design defects are found in advance, and a scientific basis is provided for product design optimization, so that the accuracy and efficiency of review are improved, and the review efficiency is improved. And the stability and the reliability of the product are obviously improved, and the production cost and the potential safety risk are reduced.

The invention relates to the technical field of rail transit, in particular to an external action threshold rapid analysis method based on traffic safety, which comprises the following steps: S1, stripping test data; s2, quantifying the response margin; s3, response simplified calculation; and S4, determining an action threshold value. According to the method, on the basis of actual operation data, a train response reference value caused by track irregularity is obtained, the train response allowable margin caused by external action is quantified, the influence of two excitation sources of track irregularity (inherent excitation) and external action (environmental excitation) on train response is effectively decoupled, and the train response accuracy is improved. The interference of inherent factors on external action threshold evaluation is eliminated, and the accuracy and pertinence of an external action threshold determination result are remarkably improved; the calculation complexity is greatly reduced by the simplified rigid body model, and the engineering application efficiency is greatly improved; based on statistical analysis of a large amount of measured data, the result has statistical significance, contingency of single simulation is avoided, and the result reliability is high.

This invention relates to the field of ceramic printing technology, and discloses a real-time compensation printing method and system for irregular ceramic deformation based on mesh mapping. The method includes acquiring a morphological image of the ceramic tile to be printed and extracting a set of feature points describing the tile's geometric contour; calculating a nonlinear mapping field between a standard pattern coordinate system and the actual physical shape of the tile based on the feature point set; performing texture sampling rendering on the original printed pattern based on the nonlinear mapping field to generate a deformed printed image that matches the actual shape of the tile; and converting the deformed printed image into printing instructions and sending them to the printing unit for execution. The degree of freedom of this invention is positively correlated with the number of feature points, reaching tens to hundreds, thereby extending the ceramic tile from a rigid body model to a locally deformable elastic body model, enabling accurate reproduction of arbitrary shape curve boundaries and local non-uniform deformation. This effectively eliminates defects such as pattern line misalignment and poor jointing, achieving precise printing of patterns and deformed ceramic tiles.

The present application belongs to the field of aviation technology, and is a kind of drop simulation method considering the influence of inertia characteristics of aircraft auxiliary fuel tank rotation. By obtaining the attitude angle parameters and fuel volume ratio when the aircraft drops the auxiliary fuel tank, including pitch angle, roll angle and yaw angle, a dynamic change model of the rotational inertia of the auxiliary fuel tank is constructed. Secondly, by numerical method, the six-degree-of-freedom equation of the auxiliary fuel tank in flight is solved, and the flight trajectory and attitude change of the auxiliary fuel tank are calculated, which solves the defect that the traditional rigid body model ignores the influence of inertia characteristics when the auxiliary fuel tank rotates, and significantly improves the reliability of auxiliary fuel tank drop trajectory prediction.

The invention discloses a multi-agent low-delay cooperative communication method and system, and the method comprises the steps: transmitting a task-level control instruction frame to a heterogeneous agent through a single control source device in a one-to-many radio frequency broadcast mode, and achieving the effect that the instruction synchronization delay is smaller than 500 microseconds; each agent keeps relative position constraint based on a virtual rigid body model, a dynamic relay module is started when it is detected that the quality of a communication link is lower than a threshold value, an adjacent agent forwards an instruction in a point-to-point mode, and the forwarding delay is smaller than 2 milliseconds; a pre-training language model is built in the system to analyze natural language input, and a task-level instruction sequence verified through geometric collision detection is generated. According to the invention, a unified message bus interface is adopted to standardize different platform control data, microsecond-level cooperative control of heterogeneous intelligent agents such as unmanned aerial vehicles, robots and model airplanes is supported, and the system is suitable for scenes such as light show and air-ground cooperation.

The invention relates to the technical field of industrial logistics intellectualization, in particular to a vehicle carrying split type AGV control method which comprises the steps that S1, a whole vehicle rigid body model is constructed; s2, executing S3 for path tracking of an expected straight driving track; executing S4 aiming at path tracking of the expected arc driving track; s3, correcting a transverse error between the whole vehicle rigid body model and a planned path through normal deviation correction and PID (Proportion Integration Differentiation) adjustment in the path direction to obtain a linear angular velocity; then executing S5; s4, integrating the ideal angular velocity, the course correction amount and the radial correction amount to obtain an arc angular velocity; then executing S5; s5, the master vehicle sends a whole vehicle motion instruction to the slave vehicle through a network communication protocol, and the master vehicle and the slave vehicle carry out whole vehicle motion instruction calculation based on the whole vehicle rigid body model; during communication, the master vehicle and the slave vehicle confirm the survival state of each other by periodically receiving and sending heartbeat packets. According to the method, tracking real-time performance and tracking precision can be considered, and communication robustness can be ensured.

This application relates to the field of servo control technology, and in particular to a method, apparatus, and device for extending the bandwidth of a servo system. The method includes: acquiring speed data, current data, and panel gain data of the servo system; identifying speed loop parameters of the servo system based on the speed data, current data, and panel gain data; identifying low-frequency rigid body model parameters based on the speed data; identifying high-frequency flexible model parameters based on the speed data; constructing a speed loop controlled object model based on the low-frequency rigid body model parameters and the high-frequency flexible model parameters; and extending the bandwidth of the servo system based on the speed loop controlled object model and the speed loop parameters. This solves the problems of limited bandwidth extension and low control accuracy in related technologies for servo closed-loop systems.

The invention discloses a molecular dynamics simulation method for the impact resistance behavior of a metal-carbon honeycomb structure, and relates to the technical field of physical simulation, and the method comprises the steps: constructing a composite structure atom model and an impact projectile rigid body model; performing energy minimization and structural relaxation on the composite structure to obtain a stable initial configuration; the configuration is divided into a fixed constraint area, a temperature buffer area and a free response area along the in-plane direction of a structural plane, and fixed constraint, constant temperature control and micro-regularization system simulation are respectively applied; the composite structure is impacted by a rigid projectile at a preset speed, molecular dynamics impact simulation is carried out under a periodic boundary condition, and atomic motion data are output; by means of the data, structural deformation and damage morphology in the impact process are displayed through visual software, and by extracting a physical information curve, damage evolution and energy dissipation behaviors of a material are quantitatively analyzed, and the atomic scale impact resistance mechanism is revealed. The micro-mechanical behavior simulation of the metal-carbon honeycomb composite structure is realized.

The invention discloses a gluing robot gluing control method and system based on motion capture, and the method comprises the steps: building a gluing gun rigid body model based on the structure parameters of a gluing gun, collecting the track data of a to-be-glued part through a motion capture system, building a dynamic motion primitive model based on the obtained glue gun track data, and carrying out the manual gluing of the to-be-glued part, when the gluing robot is adopted for gluing, parameter setting is carried out on the gluing track, wherein the parameter setting comprises the position, the posture and the gluing speed of a starting point and the position, the posture and the gluing speed of a terminal point; on the basis of the set parameters, a position coordinate data sequence, a posture data sequence and a speed data sequence from the starting point position to the final point position are generated through the built dynamic motion primitive model, and a gluing motion trail is generated. And the labor intensity of workers is reduced, the operation precision and stability are improved, and remarkable advantages can be better shown in a complex space.

The application discloses a kind of floating fan blade fatigue life calculation method and device, to solve the technical problem that the existing floating fan blade fatigue life calculation method leads to the low accuracy of blade fatigue life calculated.Method includes constructing blade CAD model, rigid body model and fluid domain numerical model, by simulating six degrees of freedom motion under different sea conditions and generating fatigue load spectrum.Subsequently, a high-fidelity finite element model of the blade is established, combined with the probability of sea conditions and wind conditions in the study area obtained and the fracture criterion to determine the fatigue crack stress distribution, and the interlayer damage is simulated by dynamically inserting the cohesive element. Finally, based on the cohesive model, the fatigue life of the blade is calculated by the cycle hopping method. The present application can combine various sea conditions and wind conditions, consider fatigue cracks in the calculation process, simulate crack propagation, and improve the calculation accuracy of blade fatigue life while achieving high-precision fatigue life calculation.

The application relates to an electric vehicle suspension system arrangement checking method and device and a storage medium, which comprises the following steps: establishing an electric drive system rigid body model, then taking arrangement hard point coordinates and suspension dynamic stiffness of the electric drive system rigid body model as design variables, electric drive transient output torque and sweep excitation as independent variables, acceleration of the electric drive and acceleration of each suspension point as dependent variables to establish a calculation model; then comparing actual values of the dependent variables with optimization target values to adjust the arrangement hard point coordinates and the suspension dynamic stiffness meeting the requirements; the above steps are aimed at output characteristics of a power assembly of the electric vehicle, response analysis and simulation acceleration sweep excitation of each suspension point in the response analysis of the electric drive assembly transient working condition under the impact working condition are increased, so that the influence of a rapid torque rising speed of the electric vehicle is considered, and the arrangement hard point coordinates and the suspension dynamic stiffness are optimized and adjusted, and finally an arrangement scheme with small suspension point response and good NVH performance is obtained.

A four-rotor unmanned aerial vehicle all-drive specified time control method based on error tracking belongs to the technical field of unmanned aerial vehicle flight control, and comprises the following steps: firstly, establishing a rigid body model of a four-rotor unmanned aerial vehicle system, initializing the state and control parameters of the system, and converting the model into an all-drive system to realize decoupling of a control channel; secondly, a monotonic expectation error curve is constructed, an error system model is converted, and a system error convergence track is planned; designing a smooth time-varying gain function of an index-polynomial combination; designing a virtual controller, and constructing a specified time expansion state observer to estimate internal and external total disturbance; and finally, designing a specified time controller based on the expected error curve. According to the invention, it can be ensured that the position and attitude tracking error of the quad-rotor unmanned aerial vehicle converges to a minimum neighborhood near an original point within a predetermined time, and the method has very strong robustness to disturbance; trajectory tracking with high precision, high robustness and excellent transient performance is realized.

The application discloses a kind of launch vehicle first-second stage separation model sensitivity rapid analysis method, to efficiently, accurately analyze the influence of key parameters in the process of launch vehicle first-second stage separation on overall performance.The specific steps include: first, the Mworks software is used to establish launch vehicle first-second stage separation model, which includes launch vehicle first-second stage rigid body model, thrust model, separation mechanism model and multiple models;Second, by FMU interface, Mworks model is imported into MATLAB environment, and it is simulated by Simulink;Third, a plurality of key parameters (such as thrust change, mass center deviation, mass size etc.) in the process of first-second stage separation are parameterized;Fourth, simulation result is obtained by calling Simulink model;Finally, Sobol global sensitivity analysis method is used to analyze the sensitivity of different parameters to launch vehicle first-second stage separation result.The method not only improves the speed and accuracy of sensitivity analysis, but also simplifies the work process through the seamless integration of Mworks and MATLAB.In addition, the application also provides intuitive sensitivity analysis result visualization, which is convenient for designers to intuitively understand the influence of parameter change on separation process, thereby accelerating the design and iterative optimization process of launch vehicle.In summary, the application provides an efficient and accurate launch vehicle first-second stage separation model rapid sensitivity analysis method, which provides strong technical support for the design and performance optimization of launch vehicle.

This invention provides a method and system for autonomous vehicle positioning based on multi-source information fusion, relating to the fields of autonomous driving, computer vision, and integrated navigation. Addressing the issues of visual odometry failure and insufficient robustness of multi-source fusion in weak or no GNSS environments, this invention maps multiple fisheye images to a ground coordinate system via inverse perspective transformation to generate a panoramic overhead view. Ground texture features are extracted from this overhead view and inter-frame matching is performed. Vehicle motion is estimated using a two-dimensional planar rigid body model, and a matching quality index based on the number of feature-matched inliers and reprojection errors is constructed. Pre-integration is performed using inertial measurement unit data, and the visual observation weights are adaptively adjusted according to the matching quality within an extended Kalman filter framework to achieve dynamic fusion of multi-source information. Error correction is performed when GNSS is available, outputting high-precision vehicle position, velocity, and attitude information. This invention improves the continuity and stability of positioning in complex scenarios.

The invention discloses a vehicle suspension system parameter optimization method, device and equipment, a medium and a product, and relates to the technical field of railway vehicles. The method comprises the following steps: establishing a vehicle rail rigid-flexible coupling model based on a vehicle three-dimensional geometric model and a rail rigid body model of a target vehicle; constructing parameter performance training data based on the vehicle rail rigid-flexible coupling model; performing iterative training on an elliptic basis function neural network by adopting the parameter performance training data to obtain an agent model; optimizing the proxy model by adopting a multi-objective optimization algorithm by taking optimization of a dynamic performance index as a target, taking a parameter value range of the suspension system parameter and an index limit value of the dynamic performance index as constraint conditions, and obtaining a parameter index optimal solution set of the suspension system parameter; and determining a target optimization parameter scheme of the suspension system parameters from the parameter index optimal solution set. And efficient and high-reliability optimization design of the vehicle suspension system is realized.

This application provides a method, apparatus, and system for testing gesture recognition devices, relating to three-dimensional interaction technology. The method includes: acquiring hand test data of the gesture recognition device under test and hand ground truth data of the gesture recognition ground truth device, based on a gesture recognition ground truth device and a gesture recognition device under test with relatively fixed positions; aligning the hand ground truth data and hand test data using a target transformation relationship; the target transformation relationship is determined through a preset motion process of a rigid body model of the hand, which is constructed from at least two first finger root nodes and at least one palm node, or at least two palm nodes and at least one first finger root node; the relative positions of the first finger root nodes and palm nodes are fixed when the hand is in different motion states; and determining the test result based on the aligned hand ground truth data and hand test data. This application enables efficient testing of the gesture recognition device under test.

The invention discloses a robot mechanism performance optimization design method based on multidisciplinary joint simulation, and the method comprises the following steps: carrying out the parametric modeling and preliminary motion simulation through UG NX software, obtaining a preliminary simulation file, and making a rigid body model of a robot mechanism; carrying out multi-rigid-body dynamic analysis to obtain a rigid body model added with a drive and loaded at the tail end; establishing communication between the rigid body simulation model and the hydraulic simulation model; carrying out mechanical-power joint simulation analysis; the method comprises the following steps: carrying out flexibility processing on a component needing to be subjected to flexibility processing, and generating a modal *. Mnf neutral file; carrying out rigid-flexible coupling simulation analysis; and parameter optimization is carried out, and optimization design is completed. The method is used for dynamic simulation and test of a robot mechanism, the influence of kinematics and dynamics parameter changes of the mechanism on performance in the movement process of a robot is conveniently researched, structural scale parameters of the robot mechanism are optimized, an automatic process is constructed, repeated operation of designers is reduced, simulation time is saved, and efficiency is improved.

The invention provides an integrated control method, device and equipment for cooperative transportation of unmanned aerial vehicles, and belongs to the field of unmanned aerial vehicle control, and the method comprises the steps: obtaining state parameters of two unmanned aerial vehicles in cooperative transportation; constructing a dynamic V-shaped rigid body model based on the two unmanned aerial vehicles and the transportation target; planning a transportation path of the V-shaped rigid body model through a fast expansion random tree algorithm; performing reverse decomposition on the dynamic V-shaped rigid body model based on the planned transportation path to generate independent reference trajectories of the two unmanned aerial vehicles; a trajectory prediction model is constructed, prediction trajectories of the two unmanned aerial vehicles are respectively obtained by inputting state parameters and initial control parameters of the two unmanned aerial vehicles, the initial control parameters are optimized by minimizing difference rolling of the prediction trajectories and corresponding independent reference trajectories, and the unmanned aerial vehicles are controlled based on the control parameters obtained after optimization. Therefore, the transportation path of the unmanned aerial vehicle has dynamic environment adaptability, and the transportation success rate is improved.

The application discloses a construction ship operation parameter optimization method and system based on wind wave coupling, and belongs to the technical field of construction ships, comprising a multi-body dynamics model and a multi-body dynamics equation, wherein the multi-body dynamics model comprises a rigid body model constructed based on ship body and hoisted object parameters, an elastic body model constructed based on hoisting rope parameters, and a nonlinear spring model constructed based on mooring system parameters; the multi-body dynamics equation comprises a translation analysis module and a rotation analysis module based on the rigid body model; a tension analysis module based on the elastic body model and a nonlinear deformation analysis module based on the nonlinear spring model; an environmental load calculation module, which firstly calculates the force of environmental load on the construction ship, and then takes the calculation result as the input of the multi-body dynamics model; a motion response solving module, which solves the motion response of the multi-body dynamics model through a numerical integration method; and a mooring force calculation module, which calculates the tension distribution of each cable based on the motion response and the nonlinear characteristics of the mooring system.