159 results about "Superposition method" patented technology

The invention discloses a method for predicting the service life of a transformer in a high-proportion new energy access zone based on multi-physics field modeling, and the method comprises the steps: building an electromagnetic field-temperature field coupling simulation model based on a COMSOL simulation platform, and setting the electrical parameters, oil physical parameters and material physical attributes of the transformer; secondly, simulating a photovoltaic access working condition by utilizing a multi-power supply superposition mode, obtaining key data such as three-phase voltage, three-phase current, iron core magnetic flux density, oil temperature and winding temperature, calculating a life label based on a working state, and performing quantitative evaluation on the state of the transformer by adopting a health state scoring method; and finally, constructing a Perii-midFormer life prediction model to realize prediction of the residual life of the transformer. Compared with a traditional life evaluation method, the method fully considers the multi-physical field dynamic coupling effect caused by photovoltaic access, improves the adaptability and reliability of life prediction, and provides an important reference for the operation and maintenance of a transformer in a power distribution network.

The invention relates to the technical field of track bridge engineering, in particular to a high-speed railway track-bridge system earthquake-caused residual irregularity prediction method, which comprises the following steps of: determining a target object, and constructing an earthquake-caused irregularity database based on historical earthquake oscillation data of the target object; based on the earthquake-induced irregularity damage database, constructing an earthquake-induced peak irregularity deep learning prediction model fused with the vibration mode superposition method, and performing prediction by adopting the earthquake-induced peak irregularity deep learning prediction model to obtain an earthquake-induced peak irregularity prediction value; calculating an earthquake-caused residual irregularity equivalent coefficient based on earthquake-caused peak irregularity and earthquake-caused residual irregularity in the earthquake-caused irregularity damage database; and earthquake-caused residual irregularity is predicted based on the predicted earthquake-caused peak irregularity predicted value and the earthquake-caused residual irregularity equivalent coefficient. According to the method, the engineering safety and reliability of the result are ensured based on the mapping relation of the probability assurance rate, and the method has high efficiency and safety and is suitable for practical engineering application.

The invention discloses a multi-scale sea surface electromagnetic scattering calculation method and device based on marine environment elements and a storage medium, and belongs to the technical field of marine detection and physical remote sensing. The method comprises the following steps: calculating a tension wave sea spectrum according to an Elfouhail sea spectrum in combination with a Longuet-Higgins directional spectrum; a JONSWAP sea spectrum is combined with a Longuet-Higgins directional spectrum to calculate a gravity wave sea spectrum; superposing the tension wave on the gravity wave according to the slope by using a linear superposition method, and calculating a self-adaptive cut-off wave number; the contribution of small-scale waves to scattering is calculated by adopting an integral equation method, mirror scattering of large-scale waves is counted by adopting a Kirchhoff approximation method, and statistics and fusion are carried out on each scale wave according to the self-adaptive cut-off wave number, so that an electromagnetic scattering value is obtained. According to the method, a sea surface geometric calculation method based on real marine environment element driving is adopted, and accurate calculation is performed aiming at sea surface scattering characteristics under different sea conditions in combination with an integral equation method-Kirchhoff approximation electromagnetic scattering calculation model of an adaptive cut-off wave number, so that the calculation precision of scattering intensity is improved.

The invention relates to the technical field of unmanned aerial vehicle navigation and control, in particular to an improved sparrow searching method for three-dimensional unmanned aerial vehicle path planning. According to the method, a three-dimensional mountain terrain model is constructed through a Gaussian function superposition method, obstacles and no-fly zones are defined by adopting a cylindrical geometric model, and obstacle avoidance constraints, take-off and landing safety constraints and flight height constraints are set; a comprehensive cost function with path length, threat penalty, flight safety height and path smoothness as sub-targets is constructed, an improved sparrow search algorithm is introduced, and a sine and cosine strategy is adopted in discoverer position updating to dynamically balance horizontal exploration and vertical obstacle avoidance. A Levy flight mechanism is introduced in follower position updating so as to enhance the capability of local development and jumping out of local optimum; the method comprises the steps of population initialization, role division, iterative optimization, collision detection and an elitist retention strategy. According to the method, a safe and smooth three-dimensional flight path with the optimal comprehensive cost is output, and the method is suitable for an actual unmanned aerial vehicle navigation task.

The invention discloses a bridge service state monitoring and early warning method based on machine vision, and the method comprises the steps: firstly building a bridge numerical model through numerical analysis software, and then arranging a sensor to recognize the information of passing vehicles; before monitoring is started, a standard vehicle is selected and passes through a bridge along the center line of each lane, and the influence surface of each feature point is established by recording the vertical displacement of the feature point in the vehicle driving process; according to the vertical displacement influence surface of each feature point of the bridge and the identified vehicle information, calculating the vertical displacement of each feature point by using a superposition method; and finally, calculating the correlation between the actual measurement response and the theoretical value, and when the correlation of more than three feature points is lower than 95%, triggering an alarm to remind passing vehicles. According to the method, piezoelectric sensing and machine vision technologies are fused, and accurate inversion of vehicle loads and real-time evaluation of bridge structure states are realized through axle coupling dynamic response analysis and a data dual criterion mechanism.

The application discloses a curved surface structure zero state form finding method, comprising the following steps: (1) a model is established based on a design configuration, and deformation data is obtained by simulating the whole construction process; (2) a zero state configuration is deduced reversely: key node deformation values are extracted, arches are started, a simulation is re-performed after a linear model is fitted and adjusted, and iteration correction is performed until deformation error meets the requirement, and a zero state installation configuration is obtained; and (3) construction data is generated by extracting component line shapes and node coordinates. The application innovatively adopts an integral curvature adjustment strategy to replace a traditional node coordinate local adjustment mode, and through reverse deduction of 'construction simulation-control point arching-curved surface fitting-grid mapping', the problem of curved surface discontinuity caused by the traditional reverse superposition method is solved, construction precision and efficiency are significantly improved, and the application is suitable for intelligent construction of complex curved surface space grid structures.

The invention relates to the technical field of virtual-real fusion image processing, in particular to a target superposition method and system for augmented reality, and the method comprises the steps: firstly simulating to obtain a virtual route target, and superposing and fusing the virtual route target into an initial reality picture for guiding navigation; analyzing the change degree of the current reality picture, and judging whether the virtual target and the current reality picture need to be superposed, fused and updated or not; if yes, analyzing the similarity between the local areas of the current real picture and the reference picture, and preferentially matching the local areas; the relative displacement of the equipment is evaluated according to the matching result of the angular points in each local area, superposition fusion updating of the virtual target and the current real picture is carried out, a more accurate superposition fusion result of the virtual target is obtained, and the immersion and accuracy of a user during use are enhanced; and on the premise of ensuring the accuracy, the AR operation efficiency is effectively improved, the calculation delay is reduced, and the loss of equipment performance is reduced.

The invention discloses a blasting funnel volume solving method based on an improved physical information neural network. The method comprises the following steps: step 1, establishing a mechanical model of blast hole wall blasting load; 2, establishing a blasting physical model in which a columnar cartridge bag is equivalent to a spherical cartridge bag by using a Starfied superposition method; step 3, constructing a blasting funnel volume prediction model based on the wavelet multi-scale synchronous compression transformation enhanced physical information neural network, constructing a solution space of a physical field by using the wavelet multi-scale synchronous compression transformation, and training the physical information neural network in which a blasting funnel physical control equation, an initial condition and a boundary condition are loss functions; and 4, intelligently predicting the volume of the blasting funnel by adopting the trained enhanced physical information neural network. The trained physical information neural network enhances the robustness and generalization ability of the blasting funnel volume prediction model, and provides high-precision theoretical support for blasting design optimization in engineering blasting.

The invention discloses an electron beam bunch superposition method and device, and the beam bunch energy of the head part and the tail part of an electron beam bunch is different by adopting a beam energy absorption effect. And then a plurality of alpha magnets are utilized, so that the movement path of the high-energy beam bunches at the head of the beam bunch string is long, the movement path of the low-energy beam bunches at the tail of the beam bunch string is short, and longitudinal superposition and compression of the beam bunch string are achieved. And the alpha magnet can simultaneously realize an achromatic function, so that the transmission envelope after the beam bunch is compressed and superposed is not greatly increased. And the obtained shorter pulse beam can be used for scientific research application such as nuclear data measurement.

The invention relates to the field of audio signal processing, in particular to a multi-channel audio signal hybrid coding method and device and a storage medium, and the method comprises the steps: collecting digital audio signals through a plurality of audio input channels, carrying out the anti-aliasing filtering of the collected digital audio signals, so as to obtain audio signals in a 48kHz / 16bit format, and outputting the audio signals in the 48kHz / 16bit format. An audio signal in a 48kHz / 16bit format is processed through a loudness weighted average method, the audio signal after loudness weighted average is processed through a frequency domain mixing technology to obtain a mixed signal, and dynamic range compression is performed on the mixed signal based on calculation of an auditory masking curve to obtain a compressed signal. And carrying out hybrid coding on the compressed signal to obtain a compressed data stream, and packaging and outputting the compressed data stream. Through dynamic mixing and compression processing, the problem of signal distortion caused by a traditional linear superposition method is effectively solved, reasonable superposition of all paths of signals is ensured through dynamic mixing, and level overload caused by simple addition is avoided.

The invention belongs to the technical field of robot path planning, and provides a mobile robot path planning method and system based on an adaptive RRT * algorithm, and the method comprises the steps: initializing a multi-tree structure based on an expansion superposition method and clustering analysis; determining a dynamically adjusted sampling area by adopting a self-adaptive sampling strategy; new nodes are generated in the sampling area, collision detection is carried out on the new nodes, if the new nodes do not collide with obstacles, the new nodes are incorporated into a tree structure, and path optimization operation including father node reselection and rewiring is executed; the connection possibility among the multiple trees is checked regularly, when the starting point tree and the target tree are connected through the guide tree and a feasible path is detected, a complete initial path is extracted, and the sampling area is updated after the path is optimized; evaluating the path cost of the new node and the target point, and if the path cost meets the precision requirement or reaches the maximum number of iterations, terminating the search and outputting the current optimal path; otherwise, continuing to optimize. According to the invention, the adaptability and efficiency of a path planning algorithm in a complex environment are improved.

The invention provides a heavy truck liquid cooling overcharging topology dynamic optimization method and system, and relates to the technical field of heavy truck liquid cooling overcharging, and the method comprises the steps: generating time-space thermal load distribution through a transient thermal load equation, and recognizing a thermal aggregation region coordinate set; generating a runner diameter grading mapping table; an objective function and constraint conditions of topological optimization are defined, a topological optimization algorithm is selected, parameters are set, and an optimal topological structure of the cold plate channel is obtained; an optimal topological structure is adopted, a fatigue life map is calculated through a modal superposition method, and meanwhile a thermal runaway risk matrix is quantified; and according to the fatigue life map, the thermal runaway risk matrix and the sensitivity field, establishing a dynamic adjustment health degree model of the cold plate channel, and outputting an optimized flow channel topology and a parameter set. The method has the beneficial effects that the service life of the battery pack is effectively prolonged, the maintenance cost is reduced, and the overall performance and the economic benefit of the liquid cooling overcharging system of the heavy truck are improved.

The invention discloses an improved DMO topological optimization method obeying different material yield criteria and analysis equipment, and belongs to the technical field of engineering structure optimizing.The method comprises the steps that a topological optimization mathematical model is established with the minimum flexibility as an objective function and stress constraints and cost constraints of different yield criteria as constraint functions; the interpolation of the DMO method based on the elastic tensor is rewritten into a unit superposition method to carry out unit discretization rigidity interpolation, and a plurality of stress values of each unit of each material can be calculated by using a separable stress interpolation scheme based on the unit superposition method; finite element analysis and stress calculation are carried out on the structure, von-Mises and Ducker-Prager yield criteria are given to steel and concrete materials respectively, and an MMA algorithm is used for iteratively calculating a result to obtain an approximate optimal solution; and circularly iteratively updating the unit density and the solving steps until the new topological optimization structure reaches a preset convergence condition. According to the method, topological optimization of the steel-concrete composite structure is more accurately carried out, and the obtained topological optimization result has manufacturability.

The invention discloses an AR label dynamic superposition method and device based on an unmanned aerial vehicle real-time video stream. The method comprises the steps that S1, an unmanned aerial vehicle collects video data in real time and preprocesses the video data to obtain a preprocessed video stream; s2, obtaining a video picture-geographic coordinate mapping table based on registration of video pictures and geographic coordinates of the preprocessed video stream; s3, generating an AR label based on the video coverage area of the preprocessed video stream; s4, converting the geographic coordinates of the AR labels into pixel coordinates of the video pictures according to the video picture-geographic coordinate mapping table to realize AR label superposition; and S5, outputting the video stream which displays and overlaps the AR label in real time. According to the method, sub-meter registration of the AR tag and the video picture is realized, accurate synchronization of the AR tag and the video picture is realized, real-time following of the moving target and collaborative display of multiple types of tags are realized, and comprehensiveness and decision-making efficiency of monitoring information are remarkably improved.

The invention provides a method and system for improving polymorphic warping of a wafer, and the method comprises the steps: 1), measuring the initial warping morphology of the wafer, and obtaining deformation distribution data; (2) calculating three-dimensional deformation of wafer warping through a finite element simulation model, and on the basis of the three-dimensional deformation, optimizing parameters of a stress film on the back surface of the wafer through a linear superposition method on the basis of the actually measured deformation distribution data, so that the stress film generates deformation distribution opposite to the initial warping morphology; 3) preparing an arch-shaped stress film on the back surface of the wafer; 4) measuring deformation distribution data of the optimized wafer; according to the method, initial deformation of various types can be counteracted, warping generated in specific steps in the production process can be reduced to the maximum extent, and the product quality and reliability requirements are fully guaranteed.

The invention discloses a gear forming grinding contact area temperature field calculation method based on a single-abrasive-particle cutting heat production mechanism, and the method comprises the steps: firstly, calculating the undeformed cutting thickness according to the geometric contact relation between abrasive particles and a tooth surface, and judging that the abrasive particles are in a scraping, ploughing or cutting stage; then, the heat flux density generated by each abrasive particle is calculated in stages, the proportion of heat transmitted into the workpiece is determined according to a dynamic heat distribution mechanism, and then the heat flux density distribution of a contact area is obtained through fitting; and finally, on the basis of a moving heat source model and a point heat source superposition method, a temperature field of the gear forming grinding contact area is constructed and solved. According to the method, the limitation that a traditional model adopts fixed heat flow distribution is overcome, accurate prediction of the grinding temperature field is achieved from the physical mechanism level, and a key theoretical basis is provided for effectively controlling tooth surface heat damage and improving gear machining quality.

The application discloses a kind of arbitrary pulsating wind field active control wind tunnel physical simulation method and system, comprising: establishing generalized pulsating wind field spectrum model, it has 6 controllable pulsating wind spectrum in the energy distribution model parameter of frequency domain;Based on generalized pulsating wind field spectrum model, inter-spectrum matrix is calculated using coherence function;Based on harmonic superposition method, inter-spectrum matrix is converted into pulsating wind field space-time information;Pulsating wind field space-time information is introduced into the control program of active control wind tunnel, through real-time monitoring and iterative adjustment model parameter, until the target wind field generated reaches expectation.The application can simulate wind field with arbitrary frequency energy distribution by generalized pulsating wind field spectrum model with 6 model parameters, combined with iterative closed-loop control, significantly improve the simulation accuracy and adaptability of complex wind field such as mountain valley wind, typhoon.

The invention discloses a 66kV distributed arc suppression coil intelligent centralized control method and system based on multi-source data fusion, and the method is characterized in that the method comprises the following steps: constructing a distributed arc suppression coil intelligent centralized control system, and collecting control data in real time; an improved vector superposition method is adopted to calculate the capacitance current of each feeder line, and a multi-objective optimization model is established by using control data; solving the multi-objective optimization model by adopting a genetic algorithm to obtain an optimal resistance value combination; and the optimal resistance value combination is issued to each arc suppression coil controller through the communication module, and intelligent centralized control of the distributed arc suppression coils is implemented.

The invention belongs to the technical field of transformer iron core vibration noise modeling calculation, and discloses a dry-type transformer vibration noise calculation method, system and device and a medium, and the method comprises the steps: obtaining the normal vibration speed time domain signals of a winding, a clamp and an iron core, and correcting the phase; determining a radiation sound pressure superposition formula taking conformal unit vibration as a model; a vibration-sound coupling frequency domain calculation model based on frequency decomposition is constructed by considering the difference of mechanical wave propagation characteristics under different frequencies; and establishing a mirror image source model considering the sound wave refraction and reflection effect, and superposing the indirect radiation sound pressure and the direct radiation sound pressure to obtain a total sound pressure value. According to the method, the difference of mechanical vibration propagation characteristics under different frequencies and the refraction and reflection effect of sound waves in the environment are introduced, the sound propagation process of the dry-type transformer is modeled, and the improved unit radiation superposition method is applied to vibration-sound coupling frequency domain modeling of the dry-type power transformer. And efficient and accurate calculation of the sound propagation process of the dry-type power transformer is realized.

The application provides a geological radar three-dimensional advanced detection data stacking method, which corresponds original sampling point data and to-be-stacked sampling point data through air correction and three-dimensional space position estimation according to the spherical distribution characteristics of a geological radar detection region in a three-dimensional space, stacks geological radar data of different observation points in a unified coordinate system, obtains stacked sampling point data through frequency domain stacking, reduces multiple wave interference of the geological radar signal, and is beneficial to target positioning in the three-dimensional space.

The invention relates to a structural column anti-seismic test loading device under complex working conditions, which comprises a polygon prism column head, a square hole matched with a square column in size is formed in the column head, the extending end of a horizontal jack is extruded on one side surface of the column head, and a fixing structure for fixing the square column and driving the square column to rotate is arranged on a bracket. During use, the column head is a polygon prism, so that the column head has side surfaces with a plurality of inclined angles, the horizontal jack applies thrust to different side surfaces of the column head to apply loads to the column at different angles, and the number of the side surfaces of the column head can be selected; therefore, horizontal loads can be applied to the rectangular-section column in multiple directions, the influence of the torsional effect is implied, loads can be applied to multiple angles, then the spatial column curved surface is obtained, if the number of loading points is designed to be large enough, the spatial curved surface can be completely simulated, and the spatial curved surface can be simulated. The column space curved surface is used for replacing a column space curved surface obtained according to a superposition method, so that the design of the column is safer.

The embodiment of the invention provides a hydrogen fuel flow simulation CFD post-processing method, device, equipment and medium, and relates to the technical field of numerical simulation, and the method is realized through the following steps: executing hydrogen fuel flow CFD simulation based on an aero-engine, and generating unstructured grid data; converting the unstructured grid data into a plurality of simulation result files, sorting grid geometric information and numerical value distribution data in the simulation result files, generating a time snapshot matrix, calculating an adjoint matrix S through the time snapshot matrix, and then obtaining a mode corresponding to each feature vector of the hydrogen fuel flow field; and through a mode corresponding to each feature vector of the hydrogen fuel flow field, calculating to obtain a magnification gi and a mode coefficient amplitude ba, and carrying out dynamic reconstruction and prediction on the hydrogen fuel flow field through a mode superposition method. According to the scheme, the flow field state at any moment can be reconstructed and predicted through a modal superposition method, and the post-processing efficiency is improved.

The invention discloses a rapid evaluation method for traffic safety of a railway bridge after an earthquake based on a genetic algorithm. The method comprises the following steps: creating a track-bridge nonlinear finite element model; simulating high-frequency acceleration seismic oscillation, simulating low-frequency velocity pulses, converting high-frequency acceleration into high-frequency velocity, and performing superposition of high-frequency and low-frequency components to generate a seismic oscillation sample; performing bridge response calculation on the track-bridge nonlinear finite element models under different earthquake magnitudes, and extracting post-earthquake track residual deformation; taking post-earthquake track residual deformation as compensation of an initial irregularity spectrum, and adding the initial irregularity spectrum into a trigonometric series superposition method to obtain a post-earthquake track irregularity spectrum; calculating to obtain a post-earthquake driving condition, and storing the earthquake magnitude and the corresponding driving state; and building a post-earthquake traffic safety rapid evaluation platform based on a genetic algorithm, and evaluating whether the railway bridge can safely run after the earthquake. The technical effect of the invention is that technical support is provided for rapidly evaluating the traffic safety of the railway bridge after the earthquake and stopping inspection.

The present application relates to the calculation method of the end bearing type square steel pipe concrete composite column base compression-bending bearing capacity, comprising the following steps: collecting the parameters required for calculating the compression-bending bearing capacity of the column base; calculating the compression-bending bearing capacity of each component of the column base; constructing the compression-bending bearing capacity of the reinforced concrete outside the pipe by simple superposition method; constructing the compression-bending bearing capacity of the steel pipe concrete column base by simple superposition method; constructing the compression-bending bearing capacity of the end bearing type square steel pipe concrete composite column base by simple superposition method. The calculation method of the present application is based on the simple superposition method, and the derivation process strictly follows the actual stress mechanism of each component of the compression-bending bearing capacity of the column base. The established bearing capacity calculation formula has clear physical meaning, simple form, clear technical route, excellent calculation stability and accuracy, and can provide reliable basis for the fine design and safety evaluation of the end bearing type steel pipe concrete composite column base.

The present application discloses a method and device for superimposing a warning line, which relates to the field of pipeline inspection technology. The method includes: obtaining real-time data and a pipeline pile number coordinate data set during the drone inspection process; determining the warning line coordinate points on both sides of the warning area, connecting the warning line coordinate points on both sides of the warning area, and obtaining the pipeline warning line; determining the field of view vertex coordinates of the pod camera based on the pod attitude information; determining the field of view intersection point between the current field of view and the pipeline warning line based on the field of view vertex coordinates and the pipeline warning line; converting the field of view intersection point to a pixel coordinate system to obtain pixel warning coordinates, and drawing lines between the pixel warning coordinates in the video frames of the inspection video stream to superimpose the pipeline warning line on the inspection video stream. This method solves the problem that the existing method of superimposing virtual identification and inspection video has high computing power requirements and poor versatility. It can improve inspection efficiency, reduce labor costs and processor computing power requirements, and has high versatility.

The present invention discloses an axis network superposition method, an electronic device and a storage medium, which traverse a two-dimensional drawing to obtain all axis symbols in the two-dimensional drawing, identify all axis lines through all axis symbols, and generate an axis network; the present invention identifies all axis symbols in the two-dimensional drawing and identifies all axis lines through the axis symbols to generate an axis network, thereby realizing automatic generation of the axis network; since the axis symbols have obvious features and high recognition compared to other lines, and the relationship between the axis symbols and the axis lines is clear and the degree of correspondence is high, thereby improving recognition efficiency and recognition accuracy, that is, improving the efficiency and accuracy of axis network generation.

The present invention provides a method and system for extracting the fault components of a rotating machine based on the misalignment superposition method, including the following steps: extracting the fault feature points to determine the positions of the impact fault components; correcting the optimal offset of the superimposed signal; separating the abnormal sound fault components in the rotating machine through the automatic separation method of the fault components. The method described in the present invention is simple and easy to implement. By writing the algorithm into the hardware platform through software programming, the abnormal sound signal can be processed in real time. Moreover, the result of the method described in the present invention is highly accurate. This method can retain the frequency components of the fault components, and after multiple superpositions, the extraction effect is remarkable.

The invention discloses a calibration method based on a blasting vibration acquisition instrument, which comprises the following steps of: data acquisition: performing blasting tests at different delay times, recording vibration waveform data by using the acquisition instrument, synchronously counting bulk distribution after blasting, and establishing an associated database of the delay times and crushing effects; calibrating by an improved linear superposition method: decomposing an actually measured single-hole waveform by using Fourier series, adding a random variable to generate a simulation waveform, calculating a theoretical particle peak vibration velocity mean value at different delay times through Monte Carlo simulation, and comparing the actually measured particle peak vibration velocity of the acquisition instrument with a theoretical value; verifying the rock crushing effect: carrying out regression analysis on the calibrated vibration data and the rock crushing effect; testing stability and repeatability: repeatedly blasting under the same delay time, checking repeatability errors of data of the acquisition instrument, and analyzing the influence of background noise on the acquired data; and calibration result output: establishing a delay time-vibration parameter-crushing effect calibration curve.

The application provides a large bulk carrier speed power prediction method and system, first, the trial data of a large bulk carrier and a ship model and the resistance data of the ship model measured in the test are obtained, and the main dimension parameter data of the ship model is obtained, then the CFD superposition method is used for calculation to establish a stable calculation strategy, then the StarCCM+ software is used for CFD simulation of the ship model according to the stable calculation strategy, the frictional resistance and the viscous pressure resistance of the ship model are obtained, the second frictional resistance coefficient of the ship model and the frictional resistance coefficient of the ship are calculated respectively by using the frictional resistance formula, and the first shape factor of the ship model is calculated, finally, the viscous resistance coefficient of the ship is calculated according to the frictional resistance coefficient of the ship and the first shape factor, the speed power of the ship is calculated according to the viscous resistance coefficient of the ship, the second frictional resistance coefficient of the ship model and the total resistance coefficient of the ship model in the test data, the prediction speed is effectively improved, the modeling cost is reduced, and the prediction precision is greatly improved.

A slave station device including: a superposition unit that is capable of superposing a main signal and a master station control signal by an electrical domain superposition method in which the main signal and the master station control signal for controlling a master station device connected to the slave station device are converted into an optical signal after multiplexing and an optical domain superposition method in which the main signal is modulated into an optical signal and then optically modulated by the master station control signal, and superposes the main signal and the master station control signal by any one of the electrical domain superposition method and the optical domain superposition method; and a control unit that controls the superposition method by the superposition unit on the basis of a slave station control signal indicating the superposition method received from the master station device.