1111results about "Vessel designing" patented technology

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 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 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 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 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 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.

The invention discloses a ship viscous flow numerical simulation method based on a hybrid Cartesian grid, and relates to the technical field of ship CFD. The method comprises the steps that after a computational domain is constructed, a body-fitted grid is generated at the object plane boundary of a ship model; then, on the basis of the outermost-layer body-fitted grid, a full-thread tree is used for carrying out space division on a computational domain to generate a Cartesian grid, and the full-thread tree is output as Cartesian grid topological information matched with the data structure of the target viscous flow solver; and finally, assembling and coupling the body-fitted grid and the Cartesian grid by using an overlapping grid technology to obtain a mixed partition grid unit, and applying the mixed partition grid unit to a solving process of a target viscous flow solver. Therefore, the accuracy and robustness of viscous flow numerical simulation of the ship with the complex geometry are improved, and the method can be well applied to resistance and flow field numerical simulation scenes in underwater and water surface ship body motion states.

The invention relates to the technical field of dredging management, in particular to a dredging ship three-dimensional modular design and construction method and system. The method comprises the following steps: obtaining multi-source lake and reservoir data, and carrying out three-dimensional environment data modeling to obtain a lake and reservoir environment three-dimensional data model; according to the lake and reservoir environment three-dimensional data model, ship structure topological optimization is carried out, so that modular ship structure design data is obtained; acquiring ship body sensor data and performing sensing data fusion to obtain a lake and reservoir environment sensing network; performing pump set cooperative control optimization through the lake and reservoir environment sensing network to obtain optimal pump set control parameter data; according to the lake and reservoir environment sensing network and the modular hull structure design data, dynamic optimization is conducted on actual dredging construction parameters of the dredging ship, and dynamic construction parameter data are obtained; and ship body module transportation strategy integration is carried out according to the lake and reservoir environment sensing network, and a ship body module transportation strategy is obtained. The desilting efficiency of the desilting ship can be improved.

The invention relates to the technical field of underwater propeller modeling, and discloses an underwater propeller annular propeller modeling method based on analog simulation. The method comprises the following steps: constructing an initial blade fluid domain grid model by using a discrete element simulation algorithm based on three-dimensional geometric parameters and material attribute data of an annular propeller; after multiphase flow coupling boundary conditions are applied to the initial model, fluid dynamic load distribution data are obtained through a transient flow field solver; generating a blade deformation characteristic value according to the load data, and if the blade deformation characteristic value exceeds a preset tolerance interval, activating a dynamic grid reconstruction instruction; fluid-structure interaction interface pressure pulsation data is extracted based on the instruction, a stress concentration coefficient is calculated in combination with material attributes, and an abnormal signal is generated when a safety threshold value is exceeded; and when the signal is triggered, the vortex field tracking module is called to update the fluid domain grid model.

The invention discloses a ship electromagnetic environment prediction method based on a deep forest model, and relates to the technical field of electromagnetic compatibility and antennae, and the method comprises the steps: converting the coordinates of each point of given data (simulation data) into a global rectangular coordinate relative to a main ship body, and obtaining an array rectangular coordinate of each point relative to an array plane; converting the array rectangular coordinates of the points relative to the array plane into relative array spherical coordinates of the points when the antenna attitudes are different; the original global rectangular coordinates, the relative array spherical coordinates, the azimuth angle and the pitch angle of each electromagnetic environment simulation point and the logarithmic transformation values of the field intensity values corresponding to the points are constructed into a feature combination of electromagnetic environment prediction; constructing a deep forest model, and training and obtaining optimal hyper-parameters of the model by using electromagnetic environment simulation data; performing coordinate conversion and feature combination on the coordinates of the spatial points to be predicted; obtaining a model prediction value; and obtaining a field intensity value under the original scale. By means of the method, prediction of the electromagnetic environment under a certain simulation working condition can be completed within a very short time.

The invention relates to a slamming strength evaluation method for a duct fin at the tail of a ship, which comprises the following steps of: (1) establishing finite element models of the duct fin and an adjacent ship body structure, and setting boundary conditions; (2) selecting the lower surface of the upper region of the conduit and the lower surface of the fin as slamming pressure acting surfaces, and calculating a slamming pressure peak value of each point; (3) applying slamming pressure to the finite element model, and applying a slamming pressure peak value as a static load to a plurality of local areas of the conduit and the fin to generate different loading conditions; and (4) calculating the structure response, evaluating the Von Mises stress of the plate shell unit and the axial stress of the rod unit, and judging whether the Von Mises stress and the axial stress meet the allowable stress related to the grid size or not. Compared with a method for calculating the slamming load based on CFD, the slamming strength evaluation method has the advantages that the calculation efficiency is extremely high, and the slamming strength of the conduit fin can be quickly evaluated in a short time; the method is more suitable for slamming pressure calculation of the tail conduit fin, and the considered loading mode is more comprehensive.

The invention relates to an intelligent space layout method and system based on ship internal design, and relates to the technical field of ship design, and the method comprises the steps: obtaining an initial layout map, an actual furniture type and actual furniture parameters of a living room; defining a layout existence type, a priority processing type and an accident existence type; determining a preliminary adding scheme according to the layout existence type; and determining a reasonable placement scheme according to the priority processing type and the accident existence type, and combining the reasonable placement scheme with the preliminary addition scheme to construct an internal layout scheme to output the internal layout scheme to a preset management end. The method has the effect of improving the design convenience of the accommodation space layout in the ship.

A ship rudder blade bending moment simulated loading device and a loading method. The device comprises: a rudder blade (1), a rudderpost (2), a loading mechanism and a control system, wherein the rudder blade (1) is connected to one end of the rudderpost (2), a through radial hole (3) is provided in the center of the rudder blade (1), and the loading mechanism is connected to the rudder blade (1) by means of the radial hole (3). The control system comprises a force sensor (4), an angular displacement sensor (5) and a control box (6), wherein the force sensor (4) is mounted on the loading mechanism, the angular displacement sensor (5) is mounted at the other end of the rudderpost (2), and the control box is connected to the loading mechanism, the force sensor (4) and the angular displacement sensor (5).

The invention discloses a dynamic power management method for an all-electric ship hybrid energy storage system. The method comprises the following steps: S1, establishing a direct-current voltage dynamic model and a ship hybrid energy storage system model based on a ship micro-grid structure of a ship; s2, establishing a multi-working-condition propulsion power model based on the movement mechanism of the ship; s3, establishing a joint SOC-SOP estimation model based on the nonlinear relationship among the state of charge, the battery power characteristics and the ambient temperature; s4, on the basis of the direct-current voltage dynamic model, the ship hybrid energy storage system model and the multi-working-condition propulsion power model, establishing a dynamic power distribution model; and S5, estimating an available power range of the battery through a combined SOC-SOP estimation model, inputting the available power range into the dynamic power distribution model, obtaining a dynamic power distribution strategy, and realizing dynamic power distribution of the ship hybrid energy storage system. According to the method, the dynamic power management of the hybrid energy storage system of the all-electric ship under the uncertain navigation condition is optimized, and the stability and the economical efficiency of a ship power system are improved.

The invention discloses a variant reconstruction AUV (Autonomous Underwater Vehicle) shape optimization method based on proxy-assisted multi-starting-point space reduction. The variant reconstruction AUV shape optimization method comprises the following steps: establishing a parameterized model of a variant reconstruction AUV; constructing a variant reconstruction AUV shape modeling-grid division-performance simulation automation framework, realizing input of design variables, and automatically performing variant reconstruction AUV shape modeling and watershed grid division; a variant reconstruction AUV shape hydrodynamic force simulation calculation framework is built, and assessment of variant reconstruction AUV hydrodynamic force performance is achieved; generating a plurality of groups of initial samples for a design space of design variables, calculating target function values corresponding to the samples by utilizing the simulation automation framework and the simulation calculation framework, and importing the samples and corresponding sailing resistance into a sample library; and performing optimization in the design space of the design variables by utilizing an agent-assisted multi-starting-point space reduction method to obtain an optimal solution of the variant reconstruction AUV shape design problem. According to the method, the reliability of an optimization result and the design efficiency can be improved, and the optimization time is shortened.

The invention provides a solution for inadequate boundary layer testing methods. The invention includes a uniquely configured multi-module concentric loop cycling water past a testing module to obtain real-time values and variables to use in CFD calculations. The invention is comprised of various sections, specifically designed to support the entire system. The system includes: one or more water reservoirs / degassing tanks, high- capacity water pumps, water stream straightener(s), stable flow section, air induction ports, viewing ports, test modules containing test surfaces designed to measure friction and pressure of a passing water or air / water stream. The present invention includes one or more sensors on the test surface(s) that convey conditions to one or more computers that may receive, store, process and send interpretations to one or more visual monitors on or near the invention in real time.

The invention discloses a wind-solar hybrid drive ocean unmanned ship platform and a design method thereof, and relates to the technical field of unmanned ships, the wind-solar hybrid drive ocean unmanned ship platform comprises a platform body module, a power propulsion module, an energy supply module, an environment sensing module and a control module, the platform body module comprises an unmanned ship main body of a strip-shaped single ship structure and stabilization hydrofoils, the stabilization hydrofoils are arranged below the unmanned ship main body, the power propulsion module comprises a wing sail and a sail rotating device, the wing sail is arranged above the unmanned ship main body through the sail rotating device, and the energy supply module comprises a solar charging panel and a storage battery connected with the solar charging panel; the low-resistance characteristic of the strip-shaped single ship structure of the unmanned ship main body is utilized, wind power driving of the wing sails and light energy power generation of the solar charging panel are matched, the cruising ability of the unmanned ship is improved, meanwhile, the problem that the unmanned ship main body of the strip-shaped single ship structure is poor in stability is solved through the stabilization hydrofoils, and the unmanned ship is more stable. And the navigation stability and the anti-overturning capability are improved.