1323results about "Vessel designing" patented technology

The invention provides a ship design knowledge retrieval method and system based on a multi-modal knowledge graph. The method comprises the steps of collecting and constructing a ship design set from the ship design field; forming a hierarchical multi-modal knowledge graph for describing a ship design field concept, physical characteristics and design specifications; enhancing association among different modal data through vector similarity calculation; the hierarchical multi-modal knowledge graph is integrated into a ChatGLM model; positioning knowledge nodes related to user demands in the hierarchical multi-modal knowledge graph; matching and positioning the ship design knowledge related to the query content of the user, and feeding back the ship design knowledge obtained by the intelligent semantic retrieval to the user in a hierarchical form. According to the method, ship design knowledge retrieval based on the multi-modal knowledge graph enhanced ChatGLM is realized, and the information acquisition efficiency of engineering designers and the practical application value of the system are improved.

The invention belongs to the field of liquefied gas ships, and particularly relates to a gas test method of a liquefied carbon dioxide liquid cargo system for a ship. Comprising the following steps: drying a cargo hold space; liquid cargo tank and pipeline drying; pressurizing a liquid cargo pipeline; liquid cargo tank gas replacement; pressurizing the liquid cargo tank and the ventilation system; a liquid cargo tank cold tank; loading in a liquid cargo tank; testing the liquid cargo pump; unloading the liquid cargo tank; sweeping the liquid cargo tank; discharging the loading pipeline; heating the liquid collecting well; heating and ventilating the liquid cargo tank. According to the invention, the gas test process of the marine liquefied carbon dioxide liquid cargo system is simplified, and the operation efficiency is improved; before the liquid cargo tank gas replacement, pressurization and tank cooling are carried out, all the liquid phase pipelines are pressurized through dry gas, the gas test of the marine liquefied carbon dioxide liquid cargo system is carried out under the semi-cooling and semi-pressure condition, and the efficiency and safety of gas test operation are improved.

The present invention discloses an AI measurement method and system for measuring the volume of a sand ship. The method comprises the following steps: collecting images of the target sand ship to be measured by a high-definition camera of an unmanned aerial vehicle to obtain basic information and an initial image set of the sand ship to be measured; controlling the navigation path of the unmanned aerial vehicle to obtain coordinates of key points in the region; obtaining point cloud data and image data by controlling fine scanning and collection of each region of the navigation path; performing preprocessing on the point cloud image data; establishing a sand ship measurement model based on point cloud calibration data, three-dimensional absolute coordinates corresponding to the coordinates of key points in a number of regions, and a PointNet++ neural network, and completing the measurement of the target sand ship to be measured according to the sand ship measurement model; the sand ship measurement method based on the PointNet++ neural network model of point cloud image data of the present invention realizes accurate measurement by denoising the wave disturbance noise characteristics of different loads of the point cloud image data and preprocessing the occluded objects, and establishes a point cloud surface fitting model for each load area, thereby improving the accuracy of sand ship transportation measurement.

The invention provides a method and system for measuring resistance in an underwater vehicle towing test, and relates to the technical field of underwater vehicle hydrodynamic performance testing, and the method comprises three links of gravity center adjustment, measurement data processing and uncertainty analysis. Firstly, it is ensured that the gravity center and the buoyancy center of a test model are consistent in height, model attitude stability is ensured, and resistance measurement errors caused by attitude changes are eliminated. Secondly, measuring the sailing resistance of the test model in the towing test, and post-processing the measured data to obtain the total resistance coefficient of the test model at the test temperature; and finally, quantizing errors of each link and synthesizing expansion uncertainty by adopting a deviation limit and precision limit combined uncertainty analysis method. Compared with a traditional single-index evaluation method, the method not only can reveal error sources and quantify the influence of each link on the measurement result, but also can accurately reflect the composite effect of errors, and ensures the reliability of the resistance measurement result.

The invention discloses an offshore floating type thin film photovoltaic platform model test device for simulating different accumulated water, and relates to the technical field of offshore photovoltaic power generation, the offshore floating type thin film photovoltaic platform model test device comprises a fluid diverter, a sprinkler head array and a thin film photovoltaic platform model, the water spraying head array is installed above the thin film photovoltaic platform model, the fluid flow divider is connected with the water spraying head array, and the fluid flow divider can adjust water flow distribution of the water spraying head array. Through cooperative work of the wave generator and the rainfall system, complex dynamic response, such as a floating state, a motion characteristic and a mooring stress condition, in an extreme environment can be simulated, high-precision test data is provided for platform design, potential problems in the design can be found in time, the structural performance is optimized, and the test efficiency is improved. The safety and reliability of the floating photovoltaic power generation platform in an extreme environment are improved, and further development of the photovoltaic power generation technology is promoted.

The invention belongs to the technical field of ship maneuvering performance prediction, and discloses a ship maneuvering hydrodynamic derivative intelligent forecasting method and system. The method comprises the following steps: compressing a plurality of extracted ship parameters such as a ship three-dimensional geometrical shape, a ship control movement speed and an angular speed into low-dimensional representation data by using a defined auto-encoder, and constructing a physical information neural network model based on the preprocessed compressed low-dimensional representation data; introducing an improved total loss function, and optimizing the physical information neural network model; based on the physical information neural network model with the improved total loss function introduced, a combined training strategy of an optimization algorithm is adopted for further optimization, an optimized physical information neural network model is obtained, and verification and iterative optimization are conducted on the optimized physical information neural network model PINN model. According to the method, high prediction precision can be kept under different working conditions, and good adaptability is shown in complex sea conditions.

The invention relates to an annular propeller modeling method and device, modeling equipment and a storage medium, and belongs to the technical field of ship propellors.The annular propeller modeling method comprises the steps that a water flow direction serves as a first coordinate axis, and the radial direction of a first blade serves as a second coordinate axis; a propeller hub center under a corresponding first coordinate axis coordinate when the transition section of the first propeller blade and the second propeller blade reaches the maximum radius of the propeller is used as an original point, a third coordinate axis is determined based on a right-hand rule, a three-dimensional coordinate system is established, and the first propeller blade and the second propeller blade are two different propeller blades; under the three-dimensional coordinate system, the thickness angle of each paddle is determined based on the rotating shaft of the two-dimensional airfoil profile of each paddle, and the inflow angle of each paddle is determined based on the thickness angle of each paddle; and modeling the annular propeller based on the thickness angle and the inflow angle of each blade. According to the method, tip smooth transition and section geometric parameter control of the annular propeller are realized on the premise of relatively low calculation complexity.

The invention provides an underwater explosion hull local structure damage assessment method, and relates to the technical field of data processing. The method comprises the following steps: acquiring underwater explosion working condition parameters, wherein the working condition parameters comprise a charge TNT equivalent and an explosion position; obtaining hull structure data; according to the working condition parameters and the ship body structure data, based on an equivalent simulation method, the initial damage degree of the ship body under the underwater explosion effect is calculated; determining the ship body area with the initial damage degree greater than the preset damage degree as a key local area; and according to the working condition parameters and the structural data of the key local area, the accurate damage degree of the key local area of the ship body under the underwater explosion effect is calculated based on a finite element analysis method. According to the method, fine finite element analysis can be carried out on a key local area with a large initial damage degree, the fine and accuracy of local structure damage evaluation are improved, simulation does not need to be carried out on the whole ship body every time, and the complexity and time consumption of simulation are reduced.

The invention discloses a ship block modular design construction precision control method and device, and relates to the technical field of ship construction, and the method comprises the steps: building a size chain relation of all parts in a preset module according to ship block modular construction standard data; establishing a three-dimensional assembly model of the preset module based on the dimension chain relationship, and establishing a three-dimensional assembly deviation analysis model according to the three-dimensional assembly model; solving a closed ring out-of-tolerance rate and a composition ring influence weight according to the three-dimensional assembly deviation analysis model; determining whether a simulation result meets a preset requirement or not according to the closed ring out-of-tolerance rate and the component ring influence weight; when the simulation result meets a preset requirement, establishing an out-of-tolerance rate comprehensive evaluation model according to the simulation result; the influence coefficient of each composition ring on the overall out-of-tolerance rate is solved according to the out-of-tolerance rate comprehensive evaluation model; and determining a construction precision control scheme according to the influence coefficient, and performing ship block modular construction precision control according to the construction precision control scheme.

The invention discloses an extremely-short-term ship motion attitude prediction method and system based on data enhancement, and relates to the field of ship motion attitude prediction. The method is used for solving the problem that data quality and model generalization performance are affected due to insufficient completeness of input data of a ship motion attitude extremely-short-term prediction model. The method comprises the following steps: performing data expansion on original observation ship attitude data by adopting a Slim-based generative adversarial filling network to obtain an expanded data set; performing data splicing and feature zooming on the original observation ship attitude data and the extended data set; performing time delay correlation analysis on the data after feature scaling to determine optimal sample data, then dividing the optimal sample data into a training set and a test set according to a proportion, and inputting the training set and the test set into a prediction model for training; optimizing parameters of the prediction model according to the prediction value of the training set; and outputting a predicted value by adopting the parameter-optimized prediction model, and carrying out reverse normalization processing to obtain a final prediction result. The method is suitable for extremely short-term ship motion attitude prediction.

The invention relates to the technical field of ship design optimization, and discloses a hull shape optimization method based on neural network modeling. In the data acquisition stage of the method, initial appearance parameters and hydrodynamic performance data of a ship body are obtained, the appearance parameters comprise geometric dimensions and shape features, and the performance data comprise resistance coefficients and wave-making resistance values. In the neural network construction stage, a neural network model with a multi-layer perceptron structure is trained by using collected data, weights are updated through a back propagation algorithm, and a nonlinear mapping relation between appearance parameters and hydrodynamic performance indexes is established. In the shape optimization stage, the trained neural network model is used for carrying out iterative adjustment on the shape of the ship body, fluid dynamic performance indexes are recalculated through the model after each adjustment until preset convergence conditions are met, and finally optimized ship body shape data are output. According to the method, partial complex calculation is replaced by the neural network, and intelligent optimization of the hull appearance is realized.

The invention discloses a cabin section structure capable of verifying the deformation coordination capability of a large buoyant raft vibration isolation system, which comprises a pressure-resistant hull shell plate and pressure-resistant hull ribs, and is characterized in that the sizes of the pressure-resistant hull shell plate and the pressure-resistant hull ribs are the same as the structural parameters of a real ship; the cabin section structure further comprises an end-thickened pressure-resistant shell ring, an oversized rib and a buoyant raft base. The end-thickened pressure-resistant shell rings are arranged at the two ends of the pressure-resistant hull shell plate. The oversized ribs are arranged at the two ends of the cabin section structure, and the distance between the two oversized ribs is equal to the distance between the two cabin walls of the underwater vehicle; the buoyant raft base is installed near the horizontal center line of the port and the starboard of the pressure-resistant hull shell plate. According to the cabin section structure, actual structure parameters of a real ship are adopted, a large external pressure test device is adopted for simulating the bearing condition which is consistent with the actual bearing of the real ship, real deformation can be accurately generated, and the most direct basis is provided for verifying the deformation compensation capacity of elastic components of the buoyant raft system under the limit depth.

The present invention provides a flow diversion device based on a one-way water pool, which relates to the field of ship engineering technology, and solves the technical problem that a physical model will cause wave damage in a one-way water pool in a wind and wave test, resulting in inaccurate experimental data. The flow diversion device includes a physical model, a lifting device, a flow diversion device and a water pool; the water pool has a first pool bottom and two oppositely arranged pool side plates, and the two pool side plates and the first pool bottom are arranged in a U-shaped structure; the lifting device is used to change the height of the physical model in the water pool; one end of the flow diversion device is hinged to one side of the incoming flow direction of the physical model, and the other end is slidably arranged on the first pool bottom of the water pool; when the physical model has a preset height from the first pool bottom of the water pool, the flow diversion device guides the incoming flow from the first pool bottom of the water pool to the physical model. The flow diversion device ensures that the physical model will not cause wave damage during the wind and wave impact test, thereby ensuring the accuracy of the experimental data.

The invention discloses a compensation operation simulation method for a telescopic active wave compensation trestle, and the method comprises the steps: taking sea condition parameters as input, combining a wave frequency response factor of a ship, and simulating the six-degree-of-freedom wave frequency motion of the ship; establishing a series coordinate system connected with a compensation mechanism on the telescopic active wave compensation trestle, and constructing a forward motion equation and a reverse solution equation of compensation motion; according to the compensation target position of the tail end of the telescopic active wave compensation trestle, the six-degree-of-freedom motion amplitude of the ship is combined, and the motion stroke of a compensation mechanism is reversely solved; differentiating the motion stroke of the compensation mechanism, calculating the speed and acceleration of the compensation mechanism, and determining the statistical value of the motion time sequence of the compensation mechanism; and finally, judging whether the telescopic active wave compensation trestle can compensate the ship motion caused by the sea condition or not according to the statistical value. Whether the compensation mechanism design of the trestle can compensate the ship motion under the sea condition or not can be judged according to the simulation result.

The invention provides an extremely-short-term ship motion attitude prediction method and system under a multi-dimensional coupling characteristic aiming at a multi-dimensional coupling challenge encountered in extremely-short-term ship motion attitude prediction, and relates to the field of ship motion attitude prediction. The method comprises the steps of collecting original attitude information of a ship; analyzing the relationship between each pair of variables in the original attitude information through a Spearman coefficient and a maximum information coefficient to obtain strong correlation characteristics; carrying out load correlation analysis on the strong correlation characteristics and historical data, and constructing an input characteristic sequence; training and evaluating the GRU network model of the integrated attention mechanism by adopting the input feature sequence, and adjusting network parameters of the GRU network model of the integrated attention mechanism to obtain an optimal GRU network model of the integrated attention mechanism; and predicting the attitude information of the ship by adopting the optimal GRU network model integrated with the attention mechanism to obtain a prediction result. The method is suitable for ship motion data characteristics under different sea conditions.

The invention discloses an acoustic compatibility management and control design method for a towed linear array of bulbous bow underwater acoustic equipment, and belongs to the technical field of ship acoustic compatibility design, and the method comprises the following steps: constructing a test environment, and checking the interference condition of the bulbous bow underwater acoustic equipment to the towed linear array through echo work; and formulating management and control measures according to the interference condition. The scheme is used for guiding the acoustic compatible management control design of the ship-borne bulbous bow underwater acoustic equipment and the towed linear array, and the compatible use of the bulbous bow underwater acoustic equipment and the towed linear array can be ensured.

The invention relates to a wind power equipment installation transport ship structure design method, and belongs to the technical field of ship and ocean engineering, a continuous middle longitudinal wall is arranged between an operation deck and an outer plate, an inner wall and the middle longitudinal wall are determined according to the size of a pile leg, and a main deck, an inner bottom, the outer plate and the middle longitudinal wall are of a continuous structure and bear the total longitudinal strength; the local platform and the inner wall are of a local structure and do not bear the total longitudinal strength. A cabin defined by the main deck and the inner bottom is a cargo hold, the cargo hold is of a full-through structure from the bow to the tail of the ship body, the ship is of a ship body structure with discontinuous structural strength in the transverse direction, and the discontinuous strength comprises a structure without a transverse bulkhead, a supporting column and a typical strong frame. The ship width is greatly optimized, so that the structural stress level under the torque effect is reduced, a feasible scheme is provided for the design of a transverse bulkhead-free structure of the ship, and due to the implementation of the transverse bulkhead-free structure design, it can be guaranteed that the pile legs are stored in a cargo hold, and transportation is convenient.

The invention discloses a ship equipment vibration test method and system based on frequency domain kurtosis mapping and non-Gaussian signal generation. The ship equipment vibration test method comprises the following steps: collecting an actual ship impact vibration signal and extracting a target power spectral density curve; the method comprises the following steps: identifying an impact energy concentration frequency band based on spectrum energy distribution, carrying out frequency band division by adopting an elliptical filter bank with a second-order section structure, and calculating an envelope kurtosis value of each frequency band to establish a kurtosis-frequency mapping model; after the initial Gaussian driving signal is generated, a non-Gaussian driving signal is generated through a phase randomization and amplitude dynamic scaling algorithm based on a mapping model; a multi-target optimization controller based on Pareto leading edge search is adopted, a power spectral density error and a kurtosis error are taken as optimization targets, synchronous optimization is carried out through fast non-dominated sorting and an adaptive hybrid variation strategy, and a driving signal is output. According to the invention, the broadband and non-Gaussian impact vibration environment of the ship equipment in the actual severe sea condition can be reproduced in a high-fidelity manner, and the authenticity of the test and the fault mode coverage capability are remarkably improved.

The invention relates to the technical field of ship energy consumption prediction, in particular to a ship main engine energy consumption prediction method and device based on uncertainty estimation, and the method comprises the steps: receiving historical navigation data of a target ship, dividing the historical navigation data into a training set and a test set, and carrying out the standardization processing; training the base model by using the training set and generating a residual sample; taking a prediction result of the base model as a new input feature, and training a linear regression meta-model to construct a Stacking integrated model; calculating quantiles according to the residual samples and constructing a prediction interval; calling an MAPIE library to automatically realize a CV + conformal prediction process, and automatically optimizing hyper-parameters of the base model by using Optuna to obtain an optimal model parameter combination; and outputting the energy consumption predicted value of each target ship and the corresponding confidence interval. According to the method, the stability and reliability of the ship energy consumption prediction result can be improved, quantitative expression of the confidence coefficient of the prediction result in an energy efficiency management system is realized, and the practicability and decision support capability of the method in scenes such as intelligent shipping scheduling are enhanced.

The invention provides an LSTM underwater robot modeling method based on TPE hyper-parameter optimization, and relates to the technical field of underwater robot modeling, and the method comprises the steps: carrying out the time sequence feature extraction through a memory unit comprising a forgetting gate, an input gate and an output gate, and predicting the state change amount delta Yt'at a t + 1 moment through an output layer; performing iterative optimization on the number of layers and the number of units of the LSTM network and training the model to obtain an optimized LSTM model; evaluating the optimized LSTM model through a multi-step cumulative prediction error, inputting an initial real state into the model to carry out T-step recursive prediction, updating a current state by utilizing a prediction state increment in each step, and finally calculating an average position error and an attitude error in a T-step window on a verification set; and selecting the hyper-parameter combination with the minimum comprehensive error of the verification set as a final model parameter, and completing the dynamic modeling of the underwater robot. According to the method, the problem that the model is inaccurate due to excessive parameterization in a nonlinear dynamic model can be solved.

The invention relates to the field of ship design, in particular to a method for extracting ship design structure information by analyzing a ship deck DXF drawing. The method comprises the steps of reading a ship deck DXF drawing file, analyzing basic primitive information, extracting geometric attributes and classification information of the basic primitive information, and generating a basic primitive data set; analyzing the complex nested primitives based on the basic primitive data set, extracting enhanced features, and generating a complex primitive feature set through a virtual entity; ship design structure information is generated by combining ship design specifications and dynamic rule engine judgment; constructing a ship design structure model and generating structure model data; and carrying out standardization processing on the structural model data, outputting the structural model data in a structural data format, and verifying the consistency of the structural model data to feed back optimization rule engine logic. According to the invention, automatic analysis and structural information extraction of ship deck design data are realized, the efficiency and accuracy of data processing are improved, and the method is suitable for efficient digital management of ship design and manufacturing processes.

The invention relates to the technical field of CAD modeling, in particular to a ship CAD structural member intelligent modeling and parameter completion method, system and equipment, and the method comprises the steps: obtaining user voice information, and converting the voice information into text information; matching the user text information with ship structural member parameterized modeling instruction set knowledge base information to obtain instruction information expressed in the user voice text information, and outputting a required parameter list and parameter meanings corresponding to the instruction information in the knowledge base according to the matched instruction information; performing parameter extraction on the text information of the user according to the output required parameter list and parameter meaning, outputting a parameter list, integrating an instruction matching result and a parameter extraction result, combining to generate a complete parameterized modeling instruction, and outputting the parameterized modeling instruction in a standardized JSON (JavaScript Object Notation) format; and inputting the parameterized modeling instruction generated by combination into the rear end of CAD software, analyzing the parameterized modeling instruction, executing a corresponding parameterized modeling interface, and completing a corresponding modeling operation.

The invention relates to the technical field of ships, and discloses a ship trim optimization method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining still water trial navigation data of a target ship; training a propulsive power prediction model taking the navigational speed, the draft and the trim as target input and the propulsive power as target output based on the correlation between each data in the still water trial flight data and the propulsive power; performing particle swarm optimization on the propulsive power prediction model by taking minimization of propulsive power as a target, and in the process of particle swarm optimization, searching an optimal trim which enables the propulsive power to be minimum at each navigational speed and under eating water based on each particle in a particle swarm to obtain a trim optimization result of the target ship; a particle swarm optimization mode is adopted to minimize a method for calculating an optimal trim value based on an established ship propulsion power prediction model, and the optimal trim value of the ship under multiple drains and navigational speeds can be automatically calculated, so that the propulsion efficiency of the ship is improved.

The utility model discloses a ship propulsion blade power testing device, comprising a water tank and a tank body, the tank body is provided with an installation assembly, the installation assembly comprises a motor 1 and a blade fixing plate, the inner side of the water tank is provided with a circulation assembly, the circulation assembly comprises an inner channel and an outer channel, the inner side of the tank body is provided with a lifting assembly, and the lifting assembly is connected with the motor 1. The lifting assembly comprises a partition plate and a piston, the partition plate is provided with a pushing assembly, the pushing assembly comprises a second motor and a lead screw, the ship propulsion blade power testing device can effectively simulate the sailing effect of a ship in water, meanwhile, reverse impact of a water tank on water flow is effectively avoided, and the testing efficiency is improved. And the tension meter is not impacted by the water flow, so that interference caused by the impact force of the water flow is effectively avoided, the stability of a ship propulsion blade power test result is guaranteed, and the ship propulsion blade power test device is suitable for ship propulsion blade power test.

The invention discloses an underwater floating body icebreaking test device, which comprises an ice water pool and an icebreaking device, and is characterized in that the ice water pool is used for preparing an ice layer; the ice breaking device comprises a platform and a plurality of floating bodies, the platform is arranged at the bottom of the ice water pool, the floating bodies are arranged in an array mode, the floating bodies are connected to the platform through locking mechanisms, and the locking mechanisms can lock or loosen the floating bodies. According to the invention, the release of the floating bodies in specified positions, quantity and sequence can be realized, the mechanism of one-time icebreaking of free floating of one or more floating bodies can be researched, and the icebreaking load characteristics, the floating body structure deformation rule, the ice layer damage mode and the icebreaking mechanism of the floating bodies under the influence of variables such as impact speeds, shapes and impact angles of different floating bodies can be researched.

The invention provides a ship weld joint stress deduction and fatigue damage evaluation method and system, and the method comprises the steps: firstly building a finite element model of a container ship, calculating the inherent frequency of the finite element model and a corresponding vibration mode through employing a Lanczos algorithm, and forming a plurality of free vibration modes of the finite element model; the inherent frequency of each free vibration mode is compared with a preset frequency range, and the free vibration mode in the preset frequency range is reserved and serves as a basic mode; calculating a theoretical stress distribution field of the whole ship structure in each basic mode based on the vibration mode through a strain-displacement relation equation and a material constitutive equation, arranging a plurality of stress monitoring points and weld joint evaluation points, and performing inversion by adopting a mode superposition method to obtain stress values of the weld joint evaluation points; and finally, calculating a total fatigue damage value by adopting a rain flow counting method and combining a fatigue evaluation method, and evaluating whether the total fatigue damage value is reliable or not, thereby facilitating the realization of long-term fatigue life management of the welding seam area.

The invention provides a ship electromagnetic environment prediction method and device based on an empirical model, equipment and a medium, and the method comprises the steps: firstly, carrying out the translation of a space field point in a global rectangular coordinate system according to the geometric position of an original point, and constructing a local rectangular coordinate system; then, based on the local rectangular coordinate system, antenna attitude conversion is carried out on the space field points, and array polar coordinates are generated; then, according to the polar coordinates of the array, a discrimination field domain is constructed by discriminating the relative distance between the space field point and the array antenna; and finally, based on the discrimination field domain, performing gain on a preset field point through a three-dimensional gain graph, and performing field intensity calculation on the preset field point to complete prediction of the electromagnetic environment of the preset field point. According to the embodiment of the invention, the prediction of the electromagnetic environment is realized, the calculation efficiency and precision are improved, and the engineering practice requirements are met.

The invention relates to the technical field of ship pipeline planning, in particular to a two-dimensional ship pipeline layout method based on an artificial bee colony algorithm, and the method comprises the following steps: 1, carrying out the simplified expression of an equipment model and a layout space, and building a pipeline layout problem mathematical model; 2, improving an artificial bee colony algorithm through a chaotic elite inverse learning population to calculate an initial solution of a pipeline layout problem mathematical model; and step 3, continuously updating the initial solution through optimally guided employed bees and spirally searched following bees and scout bees until a convergence condition is met, so that the path planning efficiency and the layout design quality are improved, and the design cost is reduced.

The invention discloses a test verification platform and a test verification method for a motion compensation gangway ladder of an offshore wind power operation and maintenance ship. The platform comprises a system calculation and control center, an environment simulation vibration platform, an active motion compensation execution mechanism, a high-precision sensing and sensing module, a multi-channel data acquisition and storage system, an offshore wind turbine target platform module and an optical motion capture module. The platform reproduces six-degree-of-freedom motion of the operation and maintenance ship through integrated cooperation and high fidelity, simulates active compensation of a gangway ladder and dynamic characteristics of a hydraulic system, and accurately measures key parameters such as poses, forces / torques and the like by using multiple sensors and an optical capture technology. The method comprises the steps of motion instruction synthesis, platform motion reproduction, compensation action simulation, data synchronous acquisition and performance evaluation. According to the invention, high-precision land simulation verification of ship-gangway ladder-fan dynamic coupling is realized, the problems of high cost, high risk and poor repeatability of offshore actual measurement are effectively solved, and a reliable and efficient solution is provided for performance verification of a motion compensation system.

The invention provides a method for calculating fatigue by adopting near-field dynamics under a complex ice condition based on propeller icebreaking, which is used for processing excitation data of an ice-induced load on a propeller of an icebreaker, and comprises the following steps: firstly, constructing a sea ice environment, an elastic propeller constructed by a plurality of units is simulated by adopting a finite element method, and the continuous interaction between the elastic propeller and ice blocks in the rotating process is considered. The contact algorithm adopts an element surface finite element (FEM) method to process force transmission from a force bearing point to a force bearing surface so as to influence the force bearing state of each node of the propeller, the force is transmitted to element stress through the node effect, and the ice load borne by the propeller structure is obtained and verified.