44 results about "Underwater noise" patented technology

The invention provides a multi-parameter-based offshore piling underwater sound source level prediction method and device.According to the method, multiple sets of historical monitoring data are obtained, each set of historical monitoring data comprises multi-parameter information and a corresponding single impact sound exposure level, and the multi-parameter information comprises impact energy, hammer weight, pile diameter and water depth; establishing a prediction relation model according to the multiple groups of historical monitoring data; and acquiring multi-parameter information corresponding to the single impact sound exposure level of the to-be-predicted project, and substituting the multi-parameter information into the prediction relation model to obtain the single impact sound exposure level of the to-be-predicted project, so that the impact energy, hammer weight, pile diameter and water depth of the to-be-predicted project, which are easy to acquire, are input, and the single impact sound exposure level of the to-be-predicted project is obtained. And the calculation is simple and convenient, so that the sound source level of the underwater noise generated by piling can be quickly predicted in the early stage of a project.

The invention relates to the technical field of noise evaluation, and discloses a method, device and equipment for evaluating the influence of underwater noise on marine organisms and a medium, and the method comprises the steps: extracting underwater sound data to obtain a wind power plant operation characteristic signal and a marine organism sound signal; performing spectrum analysis on the marine organism sound signals; if the target marine organism judged according to the spectral analysis result is the preset marine organism, determining the distance between the target marine organism and the preset monitoring point according to the marine organism sound signal; acquiring initial noise intensity corresponding to the wind power plant operation characteristic signal; determining target noise intensity according to the distance and the initial noise intensity; and evaluating the influence of the underwater noise generated by the operation of the wind power plant on the target marine organism according to the target noise intensity. By determining the distance between the target marine organism and the preset monitoring point and correcting the initial noise intensity, the accuracy of evaluating the influence of the underwater noise on the marine organism is improved.

A device and operating method for gliding and charging a UUV are disclosed. The device includes a UUV with a lifting system installed mid-hull, which is connected to a rotatable folding wing. When not in operation, the wing conforms to the shape of the UUV's hull; when in operation, it extends out of the UUV's hull via the lifting system and unfolds. Addressing the issues of UUVs being limited in their operational range by energy consumption during underwater operations, the low charging efficiency of UUVs using self-contained solar panels, the ease with which they can be detected during charging, underwater noise from various propulsion methods, and speed limitations when using unpowered gliding, this device enables unpowered gliding through sensitive waters and navigation in non-sensitive waters, reducing the probability of target detection. Equipped with a retractable folding solar charging panel, it ensures efficient energy replenishment and maximizes the single-unit endurance, enabling long-term independent underwater operation. Compared to traditional UUVs, it offers advantages such as energy saving, high stealth, and high maneuverability.

The invention provides a low-flow-resistance underwater sound insulation device which is characterized by comprising a plurality of air bags with the longitudinal sections in the shape capable of being densely laid. A set gap is kept between every two air bags, and the air bags are perpendicular to the water surface The device has the advantages that the broadband sound insulation performance is excellent, the main frequency band of underwater noise measurement is covered, and the influence of various noise sources on the test environment can be effectively inhibited; the hydrodynamic compatibility is good, the through-flow design of air bag array arrangement can maintain low flow resistance while realizing sound isolation, and significant disturbance to a test environment is avoided; and the modular design of the air bag is convenient to install, maintain and expand, and large-scale deployment in various water area environments is facilitated.

The invention provides a forecasting system and method for forecasting underwater radiation noise after ship equipment replacement. The system comprises a data acquisition module, a data processing module and a noise forecasting module, and the data acquisition module acquires various related data before and after equipment replacement to provide comprehensive support for subsequent calculation; the data processing module performs a series of calculation processing on the acquired data to ensure that the data is accurate and available; the ship underwater radiation noise prediction system is compact and reasonable in structure, and the existing technical problems can be effectively solved. According to the method, through the steps of experimental testing before equipment replacement, transfer function construction, acceleration admittance matrix acquisition and the like, the influence of various factors on noise after equipment replacement is comprehensively considered, and specific operations of each step, such as construction of a base-underwater noise transfer function, construction of an equipment-base transfer function and the like, are explained in details, so that the noise level can be accurately forecasted, and the noise level can be accurately predicted. And powerful support is provided for making a ship equipment replacement scheme.

This invention discloses a method for enhancing weak underwater signals using stochastic resonance, belonging to the field of underwater acoustic engineering and signal processing technology. It is used for enhancing weak underwater signals, including constructing and preprocessing an integrated detection and communication signal; constructing a linear potential well wall piecewise tristable stochastic resonance system; inputting the preprocessing results into the linear potential well wall piecewise tristable stochastic resonance system; optimizing the parameters of the linear potential well wall piecewise tristable stochastic resonance system using an improved moss growth optimization algorithm; numerically solving the system's motion equations using the fourth-order Runge-Kutta method to obtain the enhanced output signal; and performing frequency recovery on the enhanced output signal to generate an output signal with a complete linear frequency modulation structure. This invention fundamentally solves the problems of output saturation and difficulty in improving the signal-to-noise ratio in traditional stochastic resonance systems under strong noise environments through the linear potential well wall piecewise tristable structure, significantly improving the system's adaptability to complex underwater noise.

The invention discloses an offshore wind plant underwater noise real-time estimation method and device, a medium and a product, and relates to the field of underwater noise estimation.The method comprises the steps that an underwater noise sound pressure signal, a three-axis vibration acceleration time domain signal, an air sound pressure time domain signal, the wind speed, the cabin rotating speed and active power output are collected; segmenting each time domain signal, performing fast Fourier transform on each time domain signal in each time window, estimating power spectral density, dividing the power spectral density into a plurality of frequency bands, and calculating an underwater sound pressure level, a structural vibration acceleration level and an air sound pressure level of the frequency bands according to the power spectral density; training in each operation condition interval to obtain a final inversion coefficient set corresponding to each frequency band in each operation condition interval; and according to the operation condition interval to which the current environment condition belongs and the inversion coefficient set of the frequency band, calculating the underwater sound pressure level estimation value of each frequency band, and generating underwater noise spectrum distribution in a set frequency range, so that the underwater noise of the offshore wind plant can be efficiently and accurately estimated.

The invention discloses a calculation method and application of an underwater random bubble curtain pressure value simulation model. The method comprises the following steps: firstly, establishing a bubble generation model based on random characteristics, and realizing random distribution of bubble positions and sizes through an MATLAB program and a randperm function; then, a fluid and bubble dynamics bidirectional coupling model is constructed, and pressure field association is established by keeping grid sizes consistent; generating a grid by adopting an SALE method, and combining the bubble model, the target plate model and the fluid model through open and import commands; and finally, carrying out numerical calculation by adopting an LS-DYNA solver, iteratively adjusting parameters based on an optimization algorithm, and outputting a pressure value simulation result. According to the method, full-process automatic modeling is realized, the efficiency is improved by more than 50%, million unit-level large-scale calculation is supported, the model precision is high, the universality is high, and the method can be widely applied to simulation analysis and device optimization of underwater noise reduction, antifouling and oxygenation scenes.

The application discloses a kind of ship underwater noise tracking monitoring device and method, the method includes the following steps: 1) the monitoring device is installed to ship;2) keep ship in the channel in the state of stop, each hydrophone is monitored in the channel ambient noise, and data acquisition equipment records ambient noise signal;3) according to test condition, ship equipment is normally opened or runs;4) ship is normally navigated in the channel, and data acquisition equipment records the sound wave signal measured by hydrophone;5) based on the ambient noise monitored in step 2), the sound wave signal measured by each hydrophone is removed ambient noise, and all the noise-removed underwater radiated noise signals of the ship are analyzed and processed.The application is arranged with tracking measurement hydrophone array around the ship, and the ship is monitored under various conditions in line with the actual situation, with the real ship flow field around the ship during navigation, and the monitoring result has high accuracy.

The invention provides a large and medium-sized water surface ship radiation noise generation and control method, system and device covering a scale effect, and a storage medium, and belongs to the field of large and medium-sized water surface ship radiation noise prediction and analysis. The difference of contribution degrees of machinery, hydrodynamic force and propeller noise to underwater radiation noise in different navigation states is considered, a multi-modal noise separation method is adopted to separate coupling components, and a ship underwater radiation noise source is simplified into a noise source model along a ship body; a ship scale effect analysis and multi-resolution time-frequency analysis technology is introduced, and a generation mechanism of ship radiation noise is simplified into underwater radiation noise caused by shell vibration caused by the fact that a plurality of distributed low-frequency loads act on a ship structure; large and medium water surface ship radiation noise passing characteristic rules are disclosed, and a ship navigation state underwater radiation noise simulation theoretical model is established. According to the method, an effective means is provided for generation and control of underwater noise of the ship, and optimization of ship design and reduction of underwater radiation noise are facilitated.

The invention discloses an offshore wind plant underwater noise monitoring method, which comprises the following steps: equipment preparation and assembly: preparing an underwater noise monitoring unit for monitoring, the underwater noise monitoring unit being composed of a hydrophone, a rope, a buoy and a balancing weight; measuring an underwater noise background value: adopting one underwater noise monitoring unit to carry out underwater noise monitoring at a position which is in the upwind direction of the offshore wind power plant and is a certain distance away from the boundary of the site; influence range and attenuation characteristic measurement: respectively aiming at a single unit, two units and a plurality of units in the offshore wind power plant, adopting the underwater noise monitoring unit to carry out underwater noise monitoring; data collection and processing: recovering all the arranged underwater noise monitoring units, exporting monitoring data, analyzing and processing the monitoring data, and further quantitatively evaluating the influence range and attenuation law of underwater noise; according to the invention, systematicness, reliability and analyzability of underwater noise monitoring data in the operation period of the offshore wind plant are improved.

The invention discloses a pool vibration isolation and noise reduction design system based on dynamic characteristic analysis. The system comprises a sensor array, a data acquisition and preprocessing module, a dynamic characteristic analysis module, an active actuator array, an underwater acoustic control module and a central controller. Vibration and noise signals of a pool structure are collected in real time through a sensor, and dynamic characteristic parameters such as the inherent frequency and the damping ratio of the structure are analyzed online through algorithms such as random subspace recognition; based on the parameters, the central controller respectively drives the actuator array and the underwater secondary sound source by adopting a self-adaptive control algorithm and an acoustic active control algorithm to generate a reverse acting force and an anti-noise signal so as to cooperatively suppress structural vibration and underwater noise; according to the invention, the defect that the traditional static design is difficult to adapt to the dynamic change of the fluid-structure interaction system is overcome, intelligent and self-adaptive integrated cooperative control of vibration reduction and noise reduction is realized, and the control precision, stability and efficiency are remarkably improved.

The invention relates to an underwater noise real-time detection and sonar biological recognition integrated system, which is characterized in that an audio acquisition array is arranged underwater to acquire audio data of a plurality of characters, then frequency division is carried out to roughly divide objects of different sound sources, and in order to reject the audio data mixed with similar frequencies, the audio data of different sound sources can be obtained; according to the invention, a time period in which the audio energy is stable is reserved as an effective time period by using the distribution characteristics of the energy, and a time period in which the energy is sharply increased is removed. And then finding the audio receiving time difference of a plurality of audio acquisition positions by using numerical coding, and positioning by using a time difference of arrival method. Positioning a synthetic track and extracting motion features, and performing rough classification by using the motion features; and finally, performing more accurate biological category identification by using the effective audio data and the coarse classification labels. Compared with a traditional identification method, the method can effectively remove interference data, and is more accurate in identification.

The present application relates to the technical field of aquatic animal breeding and protection, and particularly relates to a water structure component for protecting sound-sensitive aquatic animals and a use method thereof, which comprises a cusp array composed of a plurality of cusp units and used for absorbing underwater noise, and a base fixedly connected with the cusp array and used for mounting the water structure component on an existing structure. In the component, the cusp units are designed according to specific length and height-width ratio and are made of foamed polymer materials, which can not only efficiently guide and dissipate sound waves, but also have excellent structural strength and durability and can effectively resist water flow scouring. The cusp array and the base are integrally connected through grouting forming, and the mechanical interlocking structure formed by the bottom occlusion hemispherical holes greatly enhances the integrity. The steel reinforcement reserved holes arranged on the base can enable the water structure component to be connected with the existing structure in a permanent and reliable manner through mature steel bar planting and secondary grouting processes, so that long-term engineering safety and noise reduction stability are ensured.

In order to facilitate the disposition of multiple noise measuring points in a distributed manner, this underwater noise monitoring device is provide with: a processing unit in which, by using data which was acquired using optical fibers installed underwater or on a bottom of water and which indicates noise or vibration at the position of each of the optical fibers, a statistical value of the amount of noise or vibration is derived at the time and the place when / where the data was acquired; and an output unit that outputs the statistical value.

The invention relates to the technical field of underwater sound absorption, in particular to a dual-resonance underwater sound absorption superstructure. The structure comprises a rigid supporting back plate, a containing groove is formed in the rigid supporting back plate, a sound absorption flexible base body is arranged in the containing groove, a balancing weight is embedded in the sound absorption flexible base body, an annular supporting table is arranged at the bottom of the containing groove, a vibration plate is arranged on the annular supporting table, and a local resonance cavity is defined by the bottom of the containing groove, the annular supporting table and the vibration plate. A piezoelectric material layer is attached to the lower side of the vibration plate in the local resonance cavity, and the piezoelectric material layer is connected with an adjustable shunt circuit. By the adoption of the double-resonance underwater sound absorption superstructure, the size is reduced while the sound absorption effect is guaranteed, low-frequency efficient sound absorption under the deep sub-wavelength scale is achieved, sound absorption of variable-frequency-band underwater noise is achieved through the adjustable shunt circuit, two formants are introduced into the frequency band with the low sound absorption coefficient, and the sound absorption efficiency of the underwater sound absorption superstructure is improved. Therefore, the overall sound absorption coefficient is improved.

This invention relates to a method for separating vibration and flow noise in the underwater noise spectrum of a ship propeller, comprising: constructing a "frequency label" for vibration noise by fabricating two propeller models with identical geometry but significantly different material properties; a dual-model difference stage: calculating the absolute difference in the noise spectra of the two models and generating a vibration noise mask based on modal analysis results; a blind source separation stage: for the residual signal after difference, using an improved Independent Component Analysis (ICA) algorithm to further separate residual interference by utilizing the statistical independence of vibration noise; introducing a convolution kernel function in this stage to enhance the algorithm's adaptability to time-delayed signals; and introducing Cepstrum analysis technology to perform phase correction on the complex spectrum of the replacement frequency band. This method solves the significant shortcomings of existing noise control technologies in the coupling separation of vibration and flow noise, enabling the separation of the components of underwater noise from ship propellers, obtaining the noise components caused by blade vibration and the flow noise components separately.

The invention discloses a noise reduction structure of an underwater vehicle pipeline, and relates to the field of underwater vehicles, the noise reduction structure comprises a plurality of buffer supports which are symmetrically arranged below a top plate of a mounting part up and down, outer clamping pieces are arranged on the two side edges of the outer surfaces of the two symmetrically arranged buffer supports, and fixing plates are symmetrically and fixedly connected to the middles of the top ends of the outer clamping pieces; a bearing support is fixedly mounted at one end of the fixing plate, movable connecting rods are symmetrically and rotationally mounted in the bearing support through bearings, and a supporting mechanism is arranged below the top plate of the mounting part; through cooperation of a first guide rod, a first movable block and a first spring in the supporting mechanism, vibration acting force transmitted by the buffer support can be converted into movement of the first movable block, then part of vibration energy is counteracted through elastic deformation of the first spring, transmission of vibration to a mounting part top plate and a ship body is reduced, and then the underwater noise radiation intensity is reduced; and the concealment of the underwater vehicle is improved.

The invention discloses an underwater noise submarine cable detection method and a related device. The method comprises the following steps: acquiring an underwater target image, and constructing a data set; the training set is input into a BBT-RTDETR model for training, a trained BBT-RTDETR model is obtained, and a backbone network in the BBT-RTDETR model is used for performing feature extraction on the input image by adopting multilayer convolution and a CAMDT module to obtain multi-scale features; the encoder is used for performing layer-by-layer feature extraction and scale conversion through the RepC3 residual module, the BBT module and the up-down sampling module, and performing multi-scale semantic fusion on the multi-scale feature map in cooperation with multiple jump connections to obtain multi-scale semantic fusion features; the decoder and the prediction head are used for target detection and classification based on the multi-scale semantic fusion features. According to the invention, the submarine cable detection precision in an underwater noise environment can be improved.

The invention relates to the technical field of aquatic animal breeding and protection, in particular to a hydraulic component for protecting sound-sensitive aquatic animals and a using method of the hydraulic component. The hydraulic component comprises a wedge array which is composed of a plurality of wedge units and used for absorbing underwater noise; the base is fixedly connected with the wedge array and used for installing the hydraulic component on an existing structure. In the component, the wedge units are designed according to the specific length and the width-height ratio and are made of the foaming high polymer materials, sound waves can be efficiently guided and dissipated, the excellent structural strength and durability are achieved, and water flow scouring can be effectively resisted. The wedge array and the base are integrally connected through grouting forming, and the integrity is greatly enhanced in combination with a mechanical interlocking structure formed by occlusion hemispherical holes in the bottom; due to the reserved steel bar holes formed in the base, permanent and reliable connection with an existing structure can be established through mature steel bar planting and secondary grouting processes, and long-term engineering safety and noise reduction stability are ensured.

The application discloses a wind-fish integration layout optimization method and device considering offshore wind power underwater noise, equipment and storage medium, relates to the seawater culture engineering technical field, and comprises the following steps: based on the linear relationship between wind speed and noise source sound source level and the noise attenuation model with underwater distance, an underwater noise propagation model of a wind turbine generator unit is established; based on the wake effect of the wind turbine generator unit, a power generation calculation model of a wind farm is established; based on a target function with the purpose of maximizing total power generation, a wind turbine generator unit spacing constraint and a noise limit constraint of a culture area, an optimization model is constructed; the wind turbine generator unit coordinates and the culture net cage coordinates are taken as inputs of the optimization model, the optimization model is solved, and the optimized layout positions of the wind turbine generator unit and the culture area are obtained, so that the single economic perspective of only considering power generation efficiency in traditional wind farm planning is broken through, the underwater noise pollution is taken as a core constraint and integrated into the layout optimization, and therefore, the contradiction between marine energy and resources is reduced.

The invention discloses a method for measuring contribution separation of multipath radiation noise of a ship navigation system, and relates to the technical field of ship underwater noise source test and analysis. A water pump is closed through the navigation system, and a reverse frequency response function relation between an underwater sound field target point and each noise path excitation input position of the ship navigation system is established; the method comprises the following steps: repeatedly measuring a plurality of underwater sound field target points to obtain a reverse frequency response function matrix, placing hydrophones at the positions of the underwater sound field target points, starting a water pump excitation source, measuring radiation noise of the underwater sound field target points, establishing a relational expression between the reverse frequency response function matrix and the radiation noise of the underwater sound field target points, and calculating the radiation noise of the underwater sound field target points. Excitation source characteristics of a water pump under different paths are calculated by adopting a singular value decomposition method, and the contribution of different paths of a ship navigation system to radiation noise of an underwater sound field target point is measured. According to the invention, the difficulty of arranging a large-scale vibration exciter in a forward test is ingeniously avoided, and the test efficiency is greatly improved.

The invention discloses a structural dry-wet response conversion and underwater noise calculation method based on an acoustic impedance matrix, and the method comprises the steps: obtaining the vibration mode of an overall structure, obtaining a mode shape matrix, carrying out the forced response test of the overall structure, and obtaining the node vibration response of the overall structure. A modal participation coefficient is calculated through inversion or a regularization method, a modal with the modal participation coefficient being 0 is eliminated, response expression is updated, an immersed surface acoustic radiation impedance matrix is calculated, a modal participation coefficient vector after immersion is calculated, underwater vibration response of the structure is calculated, and underwater acoustic radiation is calculated according to immersed surface vibration response distribution and an acoustic radiation acoustic resistance matrix. According to the vibration response of the structure in the light medium and the acoustic impedance matrix of the underwater immersion surface of the structure, the prediction of the underwater vibration response and sound field distribution of the structure is realized; the method can overcome the problems of high difficulty in underwater testing, low fluid-solid coupling calculation efficiency and the like, and is a new method for conveniently and efficiently obtaining the underwater vibration sound response of the structure.

Disclosed is a buoy for measuring radiated underwater noise, the buoy comprising: a main body providing buoyancy; and a cylindrical case attached to the exterior of the main body to protect same, wherein the main body comprises a plurality of thrusters that can move the former, and the cylindrical case is provided with a plurality of holes allowing the plurality of thrusters to protrude.

This invention relates to a method for measuring the acoustic absorption coefficient of the shallow seabed, comprising the following steps: measuring the seawater depth of the experimental sea area using an echo sounder; measuring the average sound energy density generated by rainfall using a hydrophone vertical array; measuring the rainfall intensity using a rain gauge; measuring the sound power radiated underwater by rainfall per unit area of ​​the sea surface; and calculating the acoustic absorption coefficient of the shallow seabed. The measurement method of this invention has a clear principle, and by measuring the underwater noise generated by rainfall, it can cleverly measure the acoustic absorption coefficient of the shallow seabed across the entire frequency band.

The application provides a brain electrical response deep learning classification and identification method based on underwater acoustic signal stimulation, which is based on brain electrical signals and combines deep learning to classify and identify underwater acoustic target signals. The method fully utilizes the differences in the subjective sensitivity of people to underwater noise and underwater acoustic signals, the rapid auditory perception of the human brain to different types of underwater acoustic signals and the differences in the conscious information extraction, takes the brain electrical signals as the main input signals, and classifies and identifies the underwater acoustic signals after corresponding processing of the brain electrical signals. The application plays the "filtering characteristics" of the human brain which is more advanced and more targeted than computers, and the characteristics of more accurate classification and identification, and can improve the poor target recognition effect in a low signal-to-noise ratio environment in the traditional underwater acoustic target classification method.

The present application relates to the field of marine working noise reduction equipment, especially to a kind of offshore wind power single pile construction underwater noise suppression device, including bottom base, noise reduction net group, elastic support component, damping element group, the bottom base is hollow structure, the noise reduction net group is fixedly arranged on the bottom base, the noise reduction net group includes noise reduction outer net and noise reduction inner net, the damping element group is arranged on the noise reduction net group, the elastic support component is connected the noise reduction outer net and the noise reduction inner net, solve the technical problem that existing underwater noise suppression device is difficult to be flexibly adapted to different scenes, and the noise reduction effect is poor for low-frequency noise.

The application discloses a kind of underwater target tracking methods based on multivariate skew laplace distribution modeling, the motion state data of underwater target is collected using the mode of sonar sensor, and the target position measurement information is obtained by the mode of coordinate system conversion;Underwater target motion model is established, the state space equation of underwater target is determined, the mathematical characteristics of underwater noise are analyzed, and the measurement model of target under non-gaussian noise is established;Based on multivariate skew laplace distribution, the non-gaussian noise is modeled, the mixed parameters, shape parameters and scale matrix of noise are solved under the variational bayesian framework, the target state and noise covariance matrix are iteratively updated, and the target motion state is iteratively updated using Kalman filtering estimation, after the iteration number, the estimated value of underwater target position and speed and the estimated value of covariance matrix are output.The application has better robustness and estimation accuracy, and does not need to select the degree of freedom parameter, and can be better applied to the tracking of target.

An underwater noise abatement system comprises an upright array of sound-absorbing panels on a supporting structure, alternating with vertical spaces between successive panels of the array. Each panel comprises a sound-absorbing matrix that contains an array of embedded voids. Each panel further comprises an acoustically reflective section that faces a reverse face of the matrix, opposed to an exposed face of the matrix. The panels are inclined relative to the horizontal so that the exposed face of the matrix faces upwardly and toward a source of underwater noise, such as an impact-driven monopile.