48 results about "Random waves" patented technology

The utility model discloses a simulation six-degree-of-freedom real sea condition random wave detection system suitable for a wave buoy or a wave sensor. The simulation six-degree-of-freedom real sea condition random wave detection system is composed of the following parts: a wave direction reproduction mechanism which simulates a real sea condition sea surface motion attitude, places the wave buoy or the wave sensor and provides the motion attitude of the wave buoy or the wave sensor; the horizontal rotation driving mechanism is used for driving the wave direction reproduction mechanism to horizontally rotate; the laser ranging mechanism is used for calculating the wave height of the wave direction reproduction mechanism; the photoelectric period measuring mechanism is used for calculating the wave period of the wave direction reproduction mechanism; the wave direction angle measuring mechanism is used for measuring the wave direction of the wave direction reproduction mechanism; the bottom plate mechanism provides a detection platform for the whole system; the overall angle measuring mechanism is used for indicating the azimuth angle of the bottom plate mechanism; the land wheel mechanism horizontally moves the whole system and adjusts the bottom plate mechanism to be in a horizontal posture; and the control unit is used for controlling six-degree-of-freedom actions of the wave direction reproduction mechanism, respectively acquiring data of each mechanism and acquiring wave direction, wave height and wave period numerical values. According to the utility model, all-parameter detection and calibration can be realized, and high-quality reproduction and magnitude transmission of wave direction parameters can be realized.

The invention provides a TMD lockout control method for motion suppression of a semi-submersible platform, and the method comprises the steps: carrying out the frequency domain decomposition of a random wave predicted by a target sea condition, obtaining the energy distribution of each frequency component, obtaining the equivalent amplitude of each frequency component according to the energy distribution, considering the amplitude response of the platform under the action of waves of different frequencies, and achieving the motion suppression of the semi-submersible platform. The method comprises the following steps of: calculating a weight ratio of platform motion response caused by each frequency component under the action of random waves by integrating three types of information, namely amplitude, amplitude response and motion suppression effect, and finally carrying out weighted combination on the locking time corresponding to each frequency component according to the weight ratio, so as to obtain the motion suppression effect of the platform. And the optimal locking control time suitable for the current random wave is obtained. According to the method, a high-complexity non-causal control command does not need to be deduced, control parameters can be updated in real time according to short-term sea condition changes, pitching response of a platform is effectively reduced, and comprehensive optimization control over multi-frequency waves is achieved.

The invention provides a random rotation speed-oriented gear meshing stiffness calculation method, which belongs to the technical field of gear performance evaluation, and comprises the following steps: describing the actual operation state of a gear system by using a random rotation speed; determining the total potential energy of the gear according to the acting force of the meshing points; solving the total potential energy of the gear to obtain a potential energy calculation function about a meshing rotation angle; determining a meshing stiffness calculation function about the meshing rotation angle by using the potential energy calculation function; solving an average value of a single-tooth meshing area and a double-tooth meshing area of the meshing stiffness calculation function; and the meshing rigidity is simplified into a square wave function through the average value, and the meshing rigidity is changed into a time function from a corner function through the generated random rotating speed. According to the method, the running state of the gear system is described by using the random rotating speed, the influence caused by random fluctuation of the rotating speed is considered, the meshing rigidity of a wind power gear box and the like in the actual working environment can be reflected more truly, and the accuracy and applicability of meshing rigidity calculation are remarkably improved.

The invention discloses a phi-OTDR vibration demodulation method based on double-segment average phase difference, belongs to the technical field of optical fiber sensing vibration demodulation, and solves the problems that in the prior art, phase demodulation is greatly influenced by phase noise such as laser frequency drift, the phase extraction precision and the signal-to-noise ratio are low due to random fluctuation of a phase curve, and the signal-to-noise ratio is low. And phase solving errors are easily caused by interference fading points. According to the method, through band-pass filtering, moving differential positioning, I / Q demodulation after reference point selection, unwinding, mean value removal and calculation of the average phase difference of two segments, the phase variation corresponding to vibration is extracted, and the demodulation precision is improved. Through the two-segment average phase difference method, the influence of phase noise and interference fading is suppressed, and the signal-to-noise ratio and stability of phase demodulation are improved; the frequency modulation pulse is replaced to break through restrictions of spatial resolution and sensing distance, high sidelobe suppression can be realized without windowing the NLFM pulse, the signal-to-noise ratio is not damaged, and the vibration detection positioning accuracy is improved.

The invention discloses a full-coupling numerical simulation system and method for a wind and wave hybrid energy obtaining system, and relates to the field of data analysis, and the method comprises the steps: generating an aerodynamic load of a current period based on incoming flow wind speed and coupling dynamics response data of a previous simulation period; based on preset mooring system parameters and the coupling dynamics response data of the previous simulation period, generating a mooring load of the current period; in the random wave field, determining the hydrodynamic force of the floating foundation entity and the wave energy power generation entity, and generating a wave load; determining a PTO force based on the relative motion between the power generation platform and the wave energy power generation entity; and taking the aerodynamic load, the mooring load, the wave load and the PTO force as external force terms in the same time domain kinetic equation for unified solution, and obtaining a coupling kinetic response of the current simulation period. According to the full-coupling numerical simulation system and method for the wind and wave hybrid energy obtaining system, the simulation precision of the simulation system can be improved, and the overall calculation efficiency of the system is improved.

The invention discloses a multi-physics field coupling numerical method for simulating wave-ocean current-earthquake-seabed interaction, and relates to the technical field of ocean engineering numerical simulation, and the method comprises the following steps: model construction, load application, coupling solution, and result analysis and application. According to the method, revolutionary simulation of collaborative response of a seabed and a structure in a complex marine environment and multi-physics field high-precision bidirectional coupling of random waves, steady-state ocean currents and seismic excitation are realized by constructing a total-factor coupled high-precision numerical model, the problems of incomplete coupling dimensions and excessive model simplification of a traditional method are solved, and the method has the advantages of being high in practicability and high in reliability. According to the wave-induced seabed liquefaction simulation method, the simulation result and the actual working condition coincidence degree are remarkably improved, the frequency domain transfer function method is introduced to analyze the seabed pore pressure response, the cognitive depth and the prediction precision of the wave-induced seabed liquefaction mechanism are remarkably improved, and in addition, through efficient algorithms such as GPU parallel calculation, self-adaptive grids and frequency domain-time domain mixed solution, the wave-induced seabed liquefaction simulation method has the advantages that the wave-induced seabed liquefaction simulation precision is improved. And the calculation efficiency is greatly improved while the precision is ensured.

The invention belongs to the technical field of wave attenuation prediction, and particularly relates to a method, a program and equipment for predicting the influence of uniformly distributed pile groups on random waves, and a storage medium. The method comprises the following steps: arranging a pile group in a target sea area, wherein the pile group is formed by uniformly arranging same vertical piles into a rectangular array, and acquiring random wave data propagated in the target sea area; establishing a coordinate system by taking a first vertical pile encountered during wave propagation as an original point, taking a wave propagation direction as an axis, taking a direction perpendicular to the wave propagation direction in a horizontal plane as an axis and taking a vertical direction as an axis; the peak period and the incident wave height of the wave when the wave is not influenced by the pile group are obtained, a pile group area is evenly divided into n sections in the axial direction from the original point, the end point of each section serves as a calculation node, the water depth of each calculation node is obtained, and the root-mean-square wave height of each calculation node is calculated; and summarizing the root-mean-square wave height calculation data of each calculation node, and drawing a root-mean-square wave height change diagram in the axial direction in the target sea area to obtain prediction of the influence of the uniformly distributed pile groups on the waves.

The invention provides a real-time feedback control method for an arrayed wave energy conversion device, which comprises the following steps of: carrying out numerical modeling and hydrodynamic analysis on the arrayed wave energy conversion device, establishing a time domain motion equation and a space state equation of the arrayed wave energy conversion device, replacing a convolution term of the time domain motion equation with the state-space equation to obtain a motion state of the arrayed wave energy conversion device, and carrying out real-time feedback control on the arrayed wave energy conversion device. According to the method, wave spectrum characteristics and hydrodynamic response characteristics of floaters are combined, hydrodynamic interference among the floaters in an array system is comprehensively considered, a causal mapping relation between floater speed and wave exciting force is constructed, expected floater response speed is calculated, control force is applied to the PTO through a feedback control means, and the wave excitation force is calculated. The device is kept in an approximately optimal resonance state under the action of random waves, so that the speed of each floater is close to the optimal function extraction condition of each wave frequency, and efficient real-time extraction of wave energy is realized.

The invention provides an unmanned ship stabilization gyro control parameter optimization method based on a genetic algorithm. The unmanned ship stabilization gyro control parameter optimization method comprises the following steps: constructing an unmanned ship rolling dynamics model and an unmanned ship rolling-stabilization gyro combined dynamics model; the precession damping coefficient of the stabilization gyroscope is optimized by adopting a genetic algorithm, the relation between the precession damping coefficient and stabilization efficiency under different working conditions is established, the precession damping coefficient is continuously optimized through evolution operations such as selection, intersection and variation, and finally an optimal solution of an optimization target is obtained. The rolling three-one value of the unmanned ship is calculated; measuring a precession angle sequence; and constructing a fitness function, constructing a function relationship between the precession damping coefficient of the stabilization gyro and an optimization target, and performing optimization based on a genetic algorithm to obtain an optimal damping coefficient. According to the method, the control parameters are optimized by establishing the unmanned ship rolling-stabilization gyroscope combined kinetic model and combining random sea wave disturbance modeling, fitness function construction and a genetic algorithm optimization process, and the stabilization efficiency and adaptability are improved.

This invention provides a method for planning a wireless network within a high-speed train, belonging to the field of train communication. The method extracts key internal structural factors affecting radio wave propagation within the train by establishing a geometric model of the target scenario, and then constructs a segmented path loss model. It establishes a communication system model and a channel model based on the asymmetrical structural features inside the carriages, deriving mathematical expressions for wireless network coverage performance indicators. Combining the communication quality requirements within the train and relevant model formulas, it determines the maximum coverage distance of radio waves, determines the initial deployment locations of base stations based on the actual layout within the train, optimizes the size of cell overlap areas using wireless network coverage performance indicators, adjusts base station locations, and obtains the final deployment plan. This invention solves the problem that wireless communication technologies with random fluctuation characteristics cannot meet the high communication quality requirements of next-generation train communication networks.

The invention discloses a method for identifying a weak part of a loading and unloading arm and optimizing a reinforcing ring. The method specifically comprises the following steps: simulating random fluctuation characteristics in natural wind, constructing an unsteady-state wind load model, and generating a fluctuating wind speed time history based on a Davenport spectrum by superposing harmonic waves of a plurality of frequency components; establishing a nonlinear Euler beam structure dynamic model of the material, and calculating the response of the loading and unloading arm under the action of the wind load by using a Newmark-beta method; displacement, structural stress and strain energy density indexes are extracted, and weak nodes and weak section areas are identified; and an adjustable reinforcing ring structure is introduced, local rigidity optimization is performed on the weak section area, and a multi-objective optimization scheme of rigidity enhancement and quality control is formed. According to the method, efficient recognition and response driving type reinforcing optimization of the weak part of the loading and unloading arm under the unsteady-state wind load can be achieved, the method has the advantages of being high in precision, high in self-adaption, good in structure lightweight effect and the like, and many problems in traditional wind resistance design are effectively solved.

The invention discloses a physical layer authentication method and system based on random beam scanning and power feedback. The method comprises the steps that a transmitting end randomly arranges a predefined angle set in each round of scanning and transmits test signals one by one, and a receiving end measures power and feeds back an optimal beam label. Although the eavesdropping end can monitor the same signal, the eavesdropping end can only obtain partial power sorting information and cannot accurately deduce the optimal beam. According to the invention, the security of physical layer authentication can be effectively improved, the disguise risk is reduced, and the method is suitable for large-scale MIMO and millimeter wave communication systems.

The invention relates to an InSAR (Interferometric Synthetic Aperture Radar) submillimeter-level high-precision deformation quantity detection method based on initial phase error elimination, and belongs to the field of electronic signal processing. Firstly, millimeter wave radar equipment is used for monitoring and scanning a target area and realizing SAR imaging, and main and auxiliary images are divided according to a radar scanning period; a PS point is selected, and the deformation quantity of the PS point is used for representing the deformation state of the whole target area; then taking the distance from the PS point to the original point of the image as a reference, combining with the radar instantaneous coordinate corresponding to each pulse signal, extracting phase information of the corresponding PS point from all the pulse signals subjected to distance compression, and calculating a phase mean value to eliminate an initial phase error of a transmitted signal; and finally, for the same PS point, calculating a phase difference between two monitoring processing results to obtain a real deformation quantity. According to the method, the error generated by the random fluctuation of the initial phase of the transmitted signal is reduced, the traditional calculation method is simplified, and the calculation efficiency and the calculation precision are both improved.

The invention discloses a wave-light combined energy supply observation buoy for a marine ranch cluster. The wave-light combined energy supply observation buoy comprises a transparent hemispherical shell, a cylindrical shell, a photovoltaic power generation system, an oscillation floater type wave energy power generation device and a mooring system. The photovoltaic power generation unit on the inner surface of the hemispherical shell utilizes sunlight to generate power and inputs the power into the energy storage battery; the bottom of the cylindrical shell is connected with the mooring system and anchored to the seabed; an inertia pendulum power generation module of the wave energy power generation device is installed in two vertical directions, when the inertia pendulum power generation module is excited by random waves, the device captures multi-degree-of-freedom energy in sea waves for power generation, and the multi-degree-of-freedom energy is input into an energy storage battery after being rectified. The energy conversion structure of the power generation device is simple and integrated in the equipment, and the damage of seawater to a core power generation part can be prevented during working; two power generation mechanisms of solar energy and wave energy are combined to realize power generation in different sea areas and under different wave conditions, the energy output efficiency is effectively improved, and the stored electric energy can continuously supply energy to various sensors in the drifting buoy so as to prolong the endurance time of carried observation equipment.

The invention discloses a diffraction optical waveguide design method and a diffraction optical waveguide, and the method comprises the steps: selecting a target optimization parameter group, and obtaining a reference design value corresponding to each target optimization parameter in the target optimization parameter group, and a performance parameter expected value corresponding to the target optimization parameter group; obtaining a plurality of sample parameter groups; adding a random fluctuation quantity to at least one target optimization parameter in each pair of target optimization parameter groups to obtain a sample parameter group; the value range of the random fluctuation quantity corresponding to the target optimization parameter is determined according to the actual process error of the target optimization parameter; sample performance parameters corresponding to the sample parameter groups are determined, and modes of the sample performance parameters are screened out; and when the difference between the mode and the performance parameter expected value exceeds a threshold value, obtaining a sample parameter group corresponding to the mode, and adjusting the reference design value of the target optimization parameter group according to the sample parameter group. According to the invention, a direction can be provided for improving the production yield of the diffraction optical waveguide at a design end.

The invention provides a wave beam cooperative scheduling method based on a distributed random wave beam grid, and belongs to the technical field of high-frequency-band communication. The method comprises the following steps: S1, obtaining beam feature information of UE at different positions, and constructing a beam fingerprint database; s2, when the network side receives the beam switching instruction and the UE rough fingerprint information, UE position information is acquired, and a target grid is matched according to the UE position information; s3, the network side inquires a beam fingerprint database by taking the target grid and the UE rough fingerprint information as indexes, and decides a target service beam according to a preset optimization principle; and S4, the network side instructs the UE to switch to the beam ID of the target service beam through downlink signaling, and the UE receives the instruction and directly responds to the switching command. According to the method, operations such as beam switching, optimization and interference coordination can be completed without real-time and full-amount beam scanning measurement of a user, the user experience rate is remarkably improved, the expenditure is saved, and the performance of a high-frequency-band communication system is improved.

The application discloses a fundamental wave extraction method under frequency offset based on a linear neural network, and has the advantages of high extraction accuracy, adaptability to frequency disturbance and the like. A traditional digital band-pass filter cannot change its center frequency after design, when the frequency and amplitude of an input signal are offset, the output signal of the traditional digital filter will be phase-shifted and attenuated to different degrees in amplitude, and even waveform distortion will occur, so the traditional digital band-pass filter needs to be redesigned, which is complicated and greatly increases the design cost. The band-pass digital filter against frequency offset based on the adaptive linear neural network can adaptively filter according to the frequency and amplitude changes of the input signal, and thus has strong robustness for frequency-amplitude random fluctuation signal detection, and can be applied to fundamental wave signal extraction of power grid voltage / current and the like.

The invention discloses a scene-oriented meshless sea wave prediction joint simulation method. The method comprises the following steps: establishing a sea scene model and a ship model by utilizing 3D modeling software; importing the sea area scene model and the ship model into fluid simulation software, and performing particle processing on the sea area scene model; setting the number, the position distribution and the movement speed function of the wedge-shaped wave maker in mathematical calculation software to control the generation of the random sea waves to obtain parameters of the random sea waves; and taking the parameters of the random waves as output contents in fluid simulation software to act on the ship model in the particle sea scene model, calculating the force and moment of force generated by the random waves on the ship body of the ship model, and analyzing the stability of the ship based on the dynamic characteristics and parameters of the ship body. Simulation software and mathematical calculation software are used for joint simulation, the problem of calculation resource consumption caused by grids is avoided, calculation efficiency is improved, sea wave simulation accuracy is high, and the method is suitable for evaluation of ship navigation stability.

The present invention discloses a method for determining the equivalent design wave of a ship's wave load under level 6 sea conditions, relating to the field of ship structural safety. The method comprises: treating the hull as a variable-section beam, and for a ship at a constant speed, calculating the wave load transfer function at the hull beam section under different wave conditions, wherein the wave conditions include different wave direction angles and different circular frequencies of the incident wave; based on the wave load transfer function at the hull beam section, calculating the short-term predicted extreme values ​​of the wave load under different wave direction angles and different zero-crossing periods within the significant wave height range of level 6 sea conditions; selecting a maximum value from all the short-term predicted extreme values ​​of the wave load, and determining the equivalent design wave parameters of the wave load under level 6 sea conditions based on the maximum value. The equivalent design wave is a sinusoidal regular wave, and its parameters include wave amplitude, circular frequency, and wave direction. By converting the study of the load on the hull under random waves into the study of the hull load under regular waves, this method is of great significance for subsequent research on hull load levels and structural safety.

The invention discloses a ground-air electromagnetic exploration method and system based on optimized extended harmonic waves, and the method comprises the steps: obtaining a pseudo-random wave current of a transmitting frequency and correspondingly received magnetic field data, and calculating a smoothing coefficient of a magnetic field intensity curve; constructing a harmonic frequency table, and calculating a relative error of curve smoothing coefficients of the transmitting frequency before and after each harmonic frequency is added; if the relative error corresponding to a certain harmonic frequency does not exceed a preset value, the harmonic frequency and the magnetic field intensity data thereof are reserved; constructing a layered medium model according to the emission frequency and the reserved harmonic frequency, and calculating forward magnetic field intensity data in the model; calculating the relative error of the curve smoothing coefficients before and after the addition of the currently reserved harmonic frequencies according to the method, and then screening the harmonic frequencies again; and finally, analyzing the underground medium of the measuring point by using the magnetic field intensity data of the emission frequency and the finally reserved harmonic frequency. The method can improve the longitudinal resolution of underground medium property exploration through an electromagnetic method.

The invention discloses a manufacturing method of chromium-copper alloy coated steel. The manufacturing method comprises the following steps that firstly, a composite material is pretreated; step 2, pre-cooling temperature control treatment; 3, double-stage explosive cladding is carried out; 4, interface stabilization hot pressing; 5, heat treatment of the composite blank; step 6, performing nondestructive testing on the interface; 7, drawing forming is conducted; step 8, solid solution-rapid cooling treatment; and ninthly, second-stage aging strengthening treatment is conducted, specifically, heat preservation is conducted for 0.5-1.5 h at the temperature of 420-460 DEG C, primary aging is conducted, then heat preservation is conducted for 1-3 h at the temperature of 460-500 DEG C, final aging is conducted, and therefore uniform dispersed precipitation particles are formed in a chromium-copper layer, and the interface shear strength is improved. Compared with a random waveform or a thick and large waveform and a deformation phenomenon in the traditional technology, the interface waveform is more regular and continuous, and the interface stress concentration can be remarkably reduced.

The invention relates to the technical field of intelligent sensors, in particular to an insulator defect evaluation method based on vibration acoustics, and the method comprises the steps: analyzing the amplitude difference between each non-backbone component and an acoustic signal, and the discrete degree of all amplitudes in each non-backbone component, determining the noise influence degree according to the number difference between all the non-backbone components and all the backbone components; determining a signal characteristic value based on the proportion of the average frequency spectrum amplitude of each backbone component in the average frequency spectrum amplitude of the acoustic signal and the random fluctuation degree of all the amplitudes in each backbone component, and determining the disturbance degree in combination with the sound influence degree; and based on the confusion degree and the disturbance degree of the acoustic signal, denoising the acoustic signal by adopting a wavelet function so as to evaluate the defect of the insulator. According to the invention, through adaptive denoising, environmental noise interference is suppressed, and the accuracy and reliability of insulator defect evaluation are improved.

The utility model discloses an anti-overturning combined type wave energy conversion device which comprises an outer shell, a sliding frame, a coil, a magnet and a friction nanometer generator, the outer shell is of a hollow structure, and the sliding frame is arranged in the outer shell and can linearly move back and forth; the coils are fixedly arranged on the upper surface and the lower surface in the outer shell; the top face and the bottom face of the sliding frame are provided with magnets used in cooperation with the coil. The friction nanometer generator is arranged in the sliding frame and generates friction charges through sliding of the sliding frame. According to the utility model, the movement of the sliding frame is promoted by using the irregularity of ocean waves to realize the power generation of the electromagnetic generator and the friction nano generator, random wave energy is easy to collect, the responsivity is high, the output is stable, and the energy conversion efficiency is high.

The invention provides a wireless network planning method in a high-speed motor train unit, and belongs to the field of train communication. According to the method, internal structure key factors influencing radio wave propagation in a train set are extracted by establishing a geometric model of a target scene, and then a sectional path loss model is established; establishing a communication system model and a channel model by combining asymmetric structural characteristics in the compartment, and deducing a mathematical expression of a wireless network coverage performance index; the maximum coverage distance of radio waves is determined by combining the communication quality requirement in a vehicle group and a related model formula, the initial deployment position of a base station is determined according to the actual layout condition in the vehicle group, and the size of a cell overlapping area is optimally designed by using a wireless network coverage performance index. And the position of the base station is adjusted and a final deployment scheme is obtained. According to the invention, the problem that the wireless communication technology with the random fluctuation characteristic is difficult to meet the high communication quality requirement of a new-generation train communication network is solved.

The present disclosure is a vertical position staged self-adjusting wave-resistant anti-ship collision device for a cross-sea bridge, comprising: a collision-proof sleeve box arranged around the bridge foundation near the water surface; a horizontal restraint system arranged between the bridge foundation and the collision-proof sleeve box; a vertical restraint system, one end of which is fixed to the collision-proof sleeve box, and the other end is fixed to the bridge foundation, for providing an action force to the collision-proof sleeve box in the opposite direction of the vertical movement direction or the movement trend direction; an adjusting water tank arranged at the top of the collision-proof sleeve box for adjusting the water entry depth of the collision-proof sleeve box. By using the present disclosure, the collision-proof sleeve box can be locked when small water level changes or small wave actions occur, and vertically adaptive movement is achieved when large water level changes or large wave actions occur, realizing the anti-ship collision function under different water levels, while reducing the up-down high-frequency movement amplitude and cumulative stroke of the collision-proof sleeve box under the random wave action of the marine environment, reducing the wear and tear of the horizontal restraint system, and improving the wave impact resistance and fatigue resistance.

The application discloses a prediction method of a multifunctional radar random waveform sequence, which regards a radar signal sequence as a multi-layer syntax structure of regularly connected mixed "radar word"-"radar phrase"-"radar sentence". The working modes of the radar are transformed into each other according to fixed transition probabilities, each working mode corresponds to a fixed phrase template library, and a phrase is selected from the phrase template library each time to complete the function of the working mode. The prediction method distinguishes the occurrence probability of the radar word under two different situations of mode and mode, and the radar word at the next moment can be predicted according to the historical sequence and the corresponding working mode. The method of the application trains a probability model in a statistical learning mode, has strong anti-noise capability, solves the problem of the reduction of the prediction accuracy rate caused by the random template in an adaptive output mode, and avoids multiple iterations and multiple loops through algorithm optimization and matrix design, so that the calculation efficiency and the anti-noise capability are improved.

The present invention discloses a method for determining the construction window period of an offshore construction trestle under the coupling of wind, wave and current, comprising: constructing a vibration analysis model of the offshore construction trestle to generate a three-dimensional random wind field and a random wave-current coupling field; establishing a vibration equation of the offshore construction trestle under the coupling of wind, wave and current; solving the vibration equation to obtain the vibration acceleration of the deck of the offshore construction trestle, and then obtaining the vibration comfort of the workers on the offshore construction trestle; judging whether the vibration comfort of the workers on the offshore construction trestle within a certain continuous time period is less than or equal to a preset allowable comfort limit for the workers on the offshore construction trestle, and if so, taking the continuous time period as the construction window period of the offshore construction trestle. The present invention uses the comfort of the workers on the offshore construction trestle as a criterion for judging, and can accurately determine the construction window period of the offshore construction trestle under the coupling of wind, wave and current, thereby improving the safety and comfort of the workers on the offshore construction trestle.

This invention provides a method and system for suppressing motion-induced self-noise in hydrophones. Using time-frequency data of the hydrophone's displacement velocity as input, it directly establishes a dynamic mapping relationship between the time-frequency characteristics of self-noise, overcoming the limitations of traditional mechanistic models. This model can uncover the deep nonlinear correlation between motion parameters and noise signals, generating high-precision, full-band acoustic features, providing highly adaptive and reliable data support for subsequent noise suppression. This invention, employing the aforementioned method and system for suppressing motion-induced self-noise in hydrophones, aims to address the core problem of insufficient generalization of traditional empirical formulas in random wave environments.

The invention belongs to the technical field of radar target detection, and particularly relates to a high-frequency ground wave radar target intelligent detection method used in a Weibull clutter environment. The objective of the invention is to solve the problem of low intelligent detection precision of a high-frequency ground wave radar target in a Weibull clutter environment in the prior art. The invention provides a high-frequency ground wave radar target intelligent detection method used in a Weibull clutter environment. According to the method, a plurality of moments are estimated at the same time by adopting a plurality of channels, so that the situation that the estimation accuracy of shape parameters is reduced due to inconsistent moment estimation errors is avoided by utilizing the correlation among the channels. And a shallow mapping network is adopted to replace a table look-up method so as to improve the shape parameter estimation efficiency. In addition, an integrated learning normal form is adopted, variance is reduced through aggregation of multiple models, inherent random fluctuation in a single network is reduced, estimation precision is improved, and therefore target detection performance is improved.

The application discloses a kind of ocean ranching platform based on post-bending pipe and oscillating float type wave energy generation system, including ocean ranching platform, post-bending pipe type power generation device, oscillating float type power generation device;Post-bending pipe is driven by the air movement of water column oscillation and drives turbine and generator to rotate and output electric energy;Oscillating float type power generation device can capture multiple direction vibration energy to generate electric energy.Application, when ocean ranching platform is moved by random wave load, two wave energy generation devices can generate power simultaneously, improve the utilization efficiency of wave energy.This scheme oscillating float type power generation device can be used as the cabin ballast of post-bending pipe type power generation device, realize ocean ranching platform to reduce roll while generating electricity;This scheme can also prevent key components from being eroded and damaged by seawater during power generation, thereby improving the service life of the device, and realizing continuous and stable power supply to the aquaculture equipment carried by the ocean ranching platform, effectively solving the long-term self-power problem of the existing ocean ranching platform.