24 results about "Ship noise" patented technology

The invention provides a ship noise multi-feature classifier data enhancement method and system based on a multi-fine-grained conditional diffusion model. And compressing a waveform to a potential space through VQ-VAE, extracting a ship type / ship name cross semantic vector by using ResNet, and optimizing clustering in combination with a loss function. And a one-dimensional U-Net conditional diffusion model is constructed, unconditional / conditional model output is dynamically weighted and fused, and the weight is adaptively adjusted according to training loss. In the generation stage, a semantic prototype is constructed by using a high-fine-granularity label, parameters are determined by using low / medium-granularity mean value sampling and Bayesian optimization, and fine-granularity controllable waveform generation is realized. After the generated data is converted into multiple features such as MFCC and Lofar, the generated data and original data are combined to train a classifier, and a virtual class strategy relieves class imbalance. Experiments show that the MSE of generated data and real data is reduced, the classification accuracy is improved, the data diversity and the model generalization ability are remarkably enhanced, and the method is suitable for scenes such as underwater target recognition.

The invention discloses a high-fidelity power pulse sound source for ship noise simulation and a control method thereof, the high-fidelity power pulse sound source comprises an electromagnetic transducer and a driving circuit thereof, the driving circuit of the electromagnetic transducer comprises an element for actively controlling the charging current of an energy storage capacitor and a bipolar Marx circuit for generating bipolar power pulses, the working modes comprise a bipolar pulse output mode and a power amplifier output mode. The invention also provides a circuit control method required by ship noise simulation. According to the high-fidelity power pulse sound source for ship noise simulation and the control method of the high-fidelity power pulse sound source, accurate injection and extraction of current in an electromagnetic transducer coil are achieved, and then the transducer is accurately controlled to output sound waves; the two working modes of bipolar pulse output and power amplifier output simulate a continuous spectrum and a line spectrum in ship noise respectively, and finally, a neural network used for generating a pulse power supply trigger signal is trained based on a cyclic gating unit, so that high-fidelity ship noise simulation is realized.

The invention discloses a ship noise signal detection method and device and a medium, and relates to the technical field of underwater acoustic signal processing, and the method comprises the steps: obtaining a ship radiation noise signal with a set length, and employing short-time Fourier transform and a plurality of Mel filters to extract three-dimensional Mel features according to a set sampling rate; generating a feature matrix based on the three-dimensional Mel features; constructing a FusionNet model comprising an initial convolutional layer module, a multi-layer multi-scale depth separable convolution module, a convolution block attention module, a full connection layer, a double-layer bidirectional long-short-term memory network and a classifier; and inputting the feature matrix into a FusionNet model to obtain a detection result of the ship noise signal. The problem that an existing ship noise signal detection method is single in feature extraction in a complex marine environment and the problem that the detection precision and the detection efficiency are low can be solved.

The invention discloses a ship identification method and system based on dual physical model fusion verification, and relates to the technical field of optical fiber sensing and ocean monitoring. The method aims at solving the problems that ship noise in submarine optical cable DAS signals is prone to interference of environment noise such as low-speed guided waves, the false alarm rate is high, and accurate positioning cannot be achieved. The method comprises the steps that DAS phase data is acquired and preprocessed to generate a channel-time energy diagram; suppressing low-speed guided wave noise through frequency-wavenumber domain slowness scanning, detecting an energy ridge line on the purified energy diagram, and calculating an observation apparent velocity; acquiring AIS data to calculate and predict the apparent velocity; the relative error of the observed apparent velocity and the predicted apparent velocity is firstly matched, and then linear regression is carried out on the arrival time of the candidate ridge line and the AIS distance to verify and fit the root mean square error; the validated ridge line is confirmed as an effective ship event and a directory is generated. According to the technical scheme, through physical mechanism denoising and dual model verification, the accuracy and reliability of ship identification are effectively improved.

The application discloses a kind of marine biological sound extraction enhancement methods, systems, equipment and medium, belong to intelligent information processing technical field.Method first constructs training dataset by mixed natural background noise, pure biological call and ship noise, uses pre-training model to combine diffusion probability model and carries out iterative optimization, learns the mapping relationship of noise addition and removal.In inference phase, through conditional guidance technology dynamic adjustment model output, accurately separate target biological sound and background noise, and combine verification set and actual collection data to evaluate enhancement effect.The application significantly improves the extraction accuracy and purity of marine biological call in noisy environment, solves the problem of poor adaptability and low efficiency of traditional method, and can be widely used in marine ecological monitoring, species behavior research and underwater acoustic communication engineering, providing efficient and reliable technical support for marine environmental protection and biodiversity research.

This invention relates to a vehicle noise simulation device for determining the vibration isolation effect of a hydrophone. The device comprises: a bottom cavity, a support, a housing, a test chamber, a plug, a water outlet valve, a flow velocity sensor, a rear end cover, a telescopic rod, a moving guide rail, a control console, a connecting ring, a motor, a propeller, a water inlet valve, a slider, a front end cover, and a hydrophone under test. A front end cover and a rear end cover are respectively installed at both ends of the housing. A support is fixed to the lower wall of the housing, and a connecting ring is fixed to the support. The test chamber and the bottom cavity are respectively inserted into the inner wall of the connecting ring, forming a sealed chamber. A motor is installed inside the bottom cavity, with its rotating shaft passing through the bottom cavity. A propeller is mounted on the rotating shaft extending outside the bottom cavity. Several holes are opened in the test chamber opposite the motor, and plugs are installed in these holes. A moving guide rail is fixed to the housing above the sealed chamber, and a slider slides within the moving guide rail. One end of the telescopic rod is fixed to the slider, and the other end is equipped with a flow velocity sensor. The hydrophone under test is mounted on one of the plugs.

The invention discloses a local synchronous observation device for a wave-induced sound process and belongs to the technical field of ocean observation. Through an integrated design, local synchronous observation of multiple key elements such as a wave form, underwater bubbles and acoustic response is realized; meanwhile, through the bionic noise reduction design of the buoy body, the multi-stage vibration reduction and noise isolation measures of the hydrophone and elimination of surrounding ship navigation noise interference, the observation signal-to-noise ratio is remarkably improved. The device disclosed by the invention can provide unprecedented technical support for revealing a wave-induced sound mechanism, improving the precision of a marine environment noise forecasting model and carrying out multidisciplinary cross research.

The invention provides a method for positioning a ship vibration noise source in a ship pool, and the method comprises the steps: constructing a double-layer envelope surface sound pressure measurement array in the ship pool, and building a ship radiation and pool wall reflection sound field model; establishing a sound field analysis model for inward and outward radiation of a semi-free space cylindrical surface, and constructing a semi-space double-cylindrical surface sound pressure-sound pressure transfer matrix; according to the amplitude and phase of sound pressure measured by double envelope surfaces, ship radiation and reflection sound in a ship pool is separated, and ship vibration noise source positioning in an open half-space water area is realized based on the ship radiation sound in the ship pool and based on a three-dimensional noise source positioning method formed by half-space virtual source wave beams. According to the half-space virtual source beam forming method, the actual acoustic propagation condition and the boundary effect of the ocean can be fully considered, and the spatial distribution and radiation characteristics of a ship noise source in a free sea area are directly obtained through mathematical mapping of a ship pool measurement field and an open water area target field.

The application provides a marine environment noise prediction method for ship abnormal behavior monitoring, and comprises the following steps: establishing a marine environment noise prediction model; determining the type of the marine environment noise numerical prediction model; and performing marine environment noise prediction according to the determined type of the prediction model. The application constructs a fast and refined marine environment noise prediction model, the fast model considers three noise sources of wind, rain and ships, and realizes the purpose of real-time fast prediction of marine environment noise according to the source level empirical formula of different noise sources summarized according to the measured data; the refined model considers two noise sources of wind and ships, and realizes the purpose of refined prediction of marine environment noise by using the source level empirical formula of different noise sources, combining real-time gridded wind speed and ship AIS data to complete the construction of wind and ship noise source models, and comprehensively considering the factors of gridded hydrological information and ocean depth database and calculation frequency.

The invention provides an unmanned ship navigation noise measurement system and a data processing method, which are used for solving the problems that the adaptability of an existing standard to an unmanned ship point sound source is poor, the laying and the recovery of a measurement system are tedious, and the deviation of a data processing result is large. Specifically, the measurement system is composed of a computer, a data acquisition module and the like, and the attitude and stability of the hydrophone are ensured through a single-point suspension design; according to data processing, 1-2 s time domain data about the maximum value of the broadband sound pressure level is selected, a line spectrum and a 1 / 3Oct spectrum are obtained through FIR band-pass filtering, framing windowing, FFT and the like, and the total sound pressure level and the sound source level are calculated. The noise of the unmanned ship is conveniently and accurately measured and processed, the test cost is saved, and the real level of the noise is accurately reflected.

The application provides a ship noise sequence generation method based on frequency domain mask guided diffusion, multi-granularity frequency information is constructed by introducing a frequency domain random mask to guide the diffusion process, thereby improving the quality and diversity of the generated samples. Traditional diffusion methods usually rely on complete initial information for generation, and less explore the use of incomplete intermediate information as guidance. Existing methods mostly use time domain fixed filters to construct multi-granularity data as intermediate information, but ignore the randomness of the data, limiting the flexibility and diversity of the generation process. Therefore, the application proposes to apply a random mask in the frequency domain to construct multi-granularity guide information as intermediate information to guide diffusion, and combine the correlation coefficient matrix embedding as a condition to supplement, to supplement the channel correlation information lost due to the mask operation.

The invention relates to the technical field of noise recognition, in particular to a ship noise recognition method and system based on deep learning, and the method comprises the following steps: collecting a ship noise signal, and generating a two-dimensional time-frequency spectrogram of the ship noise signal through adaptive time-frequency transformation; according to the two-dimensional time-frequency spectrogram, generating a time sequence feature vector sequence through a global time sequence perception convolutional neural network; inputting the time sequence feature vector sequence into a multi-scale time sequence mode extraction network to obtain a multi-scale time sequence fusion feature of the ship noise signal; and inputting the multi-scale time sequence fusion features into a noise classification network to realize noise identification. According to the method, a more adaptive time-frequency spectrogram can be generated through adaptive time-frequency transformation, the capability of capturing a noise periodic mode and the sensitivity of anomaly detection are improved through the global time sequence perception convolutional neural network and the multi-scale time sequence mode extraction network, and the accuracy and the intelligent degree of noise recognition in a complex marine environment are improved.

The invention relates to a multi-modal deep learning marine ship noise classification method based on bilinear fusion, and belongs to the technical field of acoustic signal processing. The multi-modal deep learning marine ship noise classification method based on bilinear fusion comprises the steps of data preprocessing, construction of a double-flow feature extraction network, bilinear feature fusion and classification. And the bilinear feature fusion step comprises the steps of performing dimension reduction processing on the waveform feature vector and the spectrum feature vector respectively, calculating an outer product weighted sum of the waveform feature vector after dimension reduction and the spectrum feature vector after dimension reduction through bilinear interaction, obtaining a fusion feature vector, and performing nonlinear processing on the fusion feature vector to obtain a final fusion feature vector. According to the method, fine-grained interaction of the waveform features and the spectrum features is realized through bilinear fusion, complementary information of two modes can be more fully mined, and the expression ability and discrimination of the fused features are improved.

The application discloses a dolphin sound driving method, system and equipment based on underwater acoustic signal feedback adjustment, and relates to the field of marine ecological protection.According to the hearing threshold curve characteristics of dolphins, the application adopts a superimposed signal of a downward frequency sweeping signal and a high-speed yacht noise signal as an artificial synthetic sound wave for sound driving, and in order to avoid the situation that the sound driving effect of dolphins is significantly reduced or disappears with time under continuous sound wave stimulation (because dolphins are adaptive to sound), the application method designs an amplitude frequency shifter based on Hilbert transform, and adds a feedback adjustment mechanism for the signal to simulate the frequency shift and amplitude change of the real ship noise propagation, so that the variability of the emitted sound wave frequency and amplitude is maintained.Therefore, the application method can effectively drive dolphins for a long time, so that the purpose of protecting dolphins from being hurt in underwater engineering activities is achieved.

The invention relates to a dynamic stretching towing sonar system and method capable of reducing flow noise, and the system comprises a towing winch which is disposed on a ship and is used for collecting and releasing a towing cable; the towing array sonar is connected with the towing winch through the towing cable; wherein the total length of the towing cable is 5-10 km, and the towing winch dynamically controls the retracting and releasing length of the towing cable in the sailing process of the ship. According to the invention, the winch provided with a longer trailing cable is used for dynamically and safely controlling and releasing the trailing cable, and the trailing sonar moves at a speed lower than the driving speed of the ship and is far away from the ship, so that the interference of flow noise and the noise of the ship is greatly reduced.

The application discloses an online prediction method for underwater radiation noise based on body vibration and self-noise, and belongs to the technical field of ship noise monitoring and evaluation. The method is characterized in that: a plurality of test working conditions under different working conditions are designed according to a corresponding navigation body, and parameters such as body vibration, self-noise and underwater radiation noise of the navigation body under the test working conditions are accurately obtained; based on the above-mentioned collected parameters, a transfer function and a working condition clustering center under each working condition are accurately calculated; parameter information of the navigation body in an actual operation process is collected in real time, and underwater radiation noise is accurately predicted according to the transfer function and the working condition clustering center. The application provides an online prediction method for underwater radiation noise based on body vibration and self-noise, can reduce nonlinearity and ill-conditioned property of solving of underwater radiation noise transfer function under influence of external disturbance, accurately calculate the transfer function, and enable underwater radiation noise to be accurately obtained in real time under different running environments and running states of the navigation body.

On the basis of a finite element and statistical energy method, a ship underwater radiation noise time domain passing characteristic space distribution simulation calculation method is provided, and ship sound field passing characteristics at different positions in a flow field are obtained on the premise that a sound source is not moved by adopting frequency domain analysis and spatial discretization; the method can be used for calculating the full-band passing characteristics of the complex sound field under the coupling action of a whole ship noise source, the time domain-frequency domain-space characteristics of the sound field are reflected, and the problem that a high-precision simulation calculation method for the passing characteristics of the radiation sound field of the complex sound source is lacked currently is solved.

The invention discloses a navigation water level determination method and system based on ship noise interference assessment, and the method comprises the steps: S10, carrying out the ship noise simulation test of different types of wetland waterfowls in a navigation lake overwintering waterfowl gathering region, obtaining behavior observation data of various types of wetland waterfowls under the scenes of not playing the ship noise audio and playing the ship noise audio; s20: respectively determining interference distance threshold values of ship noise to various types of wetland waterfowls; S30: respectively determining interference degree values of various types of wetland waterfowls at various selected water levels; and S40: carrying out weighted summation on the interference degree values of various types of wetland waterfowls at the same selected water level, and taking the selected water level corresponding to the minimum weighted summation value as a navigation design water level. According to the method, the interference degree of ship noise on waterfowl behaviors at different water levels is quantized, the navigation design water level is determined in combination with the quantized value of the interference degree, and the current protection requirement for waterfowl diversity can be met.

The application discloses a high-fidelity power pulse sound source for ship noise simulation and a control method thereof, and contains an electromagnetic transducer and a driving circuit thereof, the electromagnetic transducer driving circuit includes elements for actively controlling the charging current of an energy storage capacitor, and a bipolar Marx circuit for generating a bipolar power pulse, the working mode includes a bipolar pulse output mode and a power amplifier output mode, and a circuit control method required for simulating ship noise. The application adopts the above-mentioned high-fidelity power pulse sound source for ship noise simulation and the control method thereof, realizes accurate injection and extraction of the current in the electromagnetic transducer coil, and further accurately controls the transducer output sound wave, the two working modes of bipolar pulse output and power amplifier output simulate the continuous spectrum and line spectrum in the ship noise respectively, and finally, a neural network for generating a pulse power trigger signal is trained based on a cycle gating unit, and high-fidelity ship noise simulation is realized.

The invention relates to a ship noise signal simulation method based on a deep neural network. The method comprises the following steps: simulating a continuous spectrum, a modulation spectrum and a line spectrum of ship noise; simulating the continuous spectrum by adopting an FIR filter design based on a Welch method; an improved model based on fusion of bidirectional LSTM and a self-attention mechanism is provided, so that the time-frequency characteristic of a modulation envelope is effectively captured, and high-precision simulation of a modulation spectrum is realized; a physical information neural network (PINN) is innovatively introduced, physical constraints are embedded into a loss function, and high-fidelity simulation of line spectrum features is achieved.

The invention discloses an underwater acoustic communication codebook generation method, device and equipment and a readable storage medium, and the method comprises the steps: normalizing the characteristics of candidate signal segments through preprocessing, and weakening the inherent correlation influence caused by a stable line spectrum and a similar envelope in real ship noise; a similarity evaluation index between candidate signal segments is defined, and similarity misjudgment caused by similar segment characteristics is avoided; based on the similarity, a simulated annealing optimization algorithm is adopted to screen a target signal segment from a candidate signal set, the algorithm does not adopt a simple random or greedy selection mode, and low-cross-correlation segments are screened in a targeted mode through heuristic search logic, so that the defect that random or greedy selection is easy to select high-cross-correlation segments is effectively avoided, and the selection accuracy of the target signal segment is improved. Further, the codebook separability is improved, and the problem that the codebook separability is poor due to the fact that real ship noise contains stable line spectrums and similar envelopes is solved; meanwhile, in the screening process of the method, a low-correlation starting point set is obtained through farthest point sampling, and a traditional exhaustion or global optimization mode does not need to be adopted.

The invention provides an SEA subsystem automatic identification method based on a grid model, and belongs to the technical field of ship noise control. For a ship finite element model, a non-triangular grid is converted into a triangular grid by adopting an ear cutting method; dividing unit sets on the basis of the attribute information of the grid units, and searching for each unit set through the topological relation between the grids to form a complete plate structure corresponding to the deck, the bulkhead and the outer plate of the ship; the method comprises the following steps: after board subsystem identification is completed, constructing a topological relation for an imported finite element model based on a half-side and half-surface data structure, and filtering out internal unit components by using a single side; selecting a surface, continuously searching adjacent surfaces by adopting a region growing method until all surfaces of the vocal cavity to which the surface belongs are found, completing vocal cavity recognition, completing recognition of all vocal cavities through circulating search, and finally removing redundant vocal cavities to complete establishment of a vocal cavity subsystem; the method is suitable for rapid construction of the SEA model in ship cabin noise prediction.

The utility model relates to an elastic connecting device for a marine integral sanitary unit, which comprises a fixing plate, an elastic sleeve and a mounting plate, a bent connecting plate is arranged on one side of the fixing plate, and the connecting plate is fixedly connected with a side plate of the sanitary unit; a connecting rod is arranged at the upper end of the fixing plate; the middle of the connecting rod is sleeved with the elastic sleeve, and a fixing piece used for fixing the elastic sleeve is arranged at one end of the connecting rod. A fixing clamping groove is formed in the middle of the elastic sleeve. The noise reduction device is simple in overall structure and ingenious in design, a vibration source can be effectively controlled through the elastic sleeve, noise transmitted to the interior of a living cabin from different areas is reduced, and the comfort level of indoor residents is improved; the overall structure is compact, does not occupy space, is firm in installation, and meets the noise reduction requirement of a real ship.

The utility model relates to a ship noise reduction related technical field especially, relates to a kind of marine noise reduction device, including noise reduction subassembly, and noise reduction subassembly is provided with heat energy recovery mechanism, and noise reduction subassembly includes box, curved pipe and sound-absorbing board, and the surface of the box is fixedly installed in sound-absorbing board, and curved pipe is fixedly installed in the box, and one end of curved pipe penetrates the box and is provided with air outlet pipe, and the other end of curved pipe penetrates the box and is provided with air inlet pipe. By being provided with noise reduction subassembly, water is used to cooperate sound-absorbing board to carry out noise reduction, not only can weaken high-frequency noise greatly, but also can effectively inhibit low-frequency vibration conduction, and noise reduction effect is excellent. Its advantage is to provide more comfortable and quiet working and living environment for crew, by being provided with heat energy recovery mechanism, to increase the function of heat energy recovery of marine noise reduction device, to improve the practicability of marine noise reduction device.