42 results about "Ship noise" patented technology

The invention provides a system and a method for supplying natural energy as power to an electric ship. The embodiment of the invention transforms solar energy and wind energy into electrical energy through a wind-light mixed power station, and is used by a wharf energy-adding station and used for charging a storage battery container hold of the electric ship; at the same time, the system is also connected with a commercial-power electric-fence; when the weather is fine in the daytime and the wind is heavy, the generated energy of the wind-light mixed power station is sufficient, the excess electric quantity can be merged into the commercial-power electric-fence for the use of other loads; when the weather is wet at night or in the daytime and the wind is light, the alternating current of the commercial-power electric-fence can be transformed into direct current so as to be used by the wharf energy-adding station and also used for charging the storage battery container hold of the electric ship; the wind-light mixed power station and the commercial-power electric-fence complement each other, so the natural energy supplied as power to the electric ship stably and reliably, the dependence on non-renewable energy resources such as petroleum, coals, etc. as well as the ship noise pollution can be reduced, energy crisis is relieved, and the atmosphere and the marine environment are protected.

The invention relates to the technical field of shock and noise reduction for ships, and more specifically, a floating floor, which is simple in design, convenient in construction, effectively shortens the shipbuilding cycle, and has various technical indicators that fully meet various indicators such as ship vibration and noise reduction, fire prevention, etc. Requirements: The noise index of the crew cabin and working area is lower than the maximum allowable noise level, the vibration is lower than the maximum allowable vibration level, the comfort level can reach the first grade, and the surface material meets the requirements of the SOLAS international convention for low flame spread, According to the special requirements of different parts of the ship, the fire rating can reach A60. On the deck, there are damping layer, constraining layer, rock wool II, galvanized steel plate I, damping layer, galvanized steel plate II and base dressing in order from bottom to top; Above, rock wool I is in contact with the damping layer, constraining layer, rock wool II, galvanized steel plate I, damping layer, galvanized steel plate II and the base dressing, and the water-blocking flat steel is in contact with rock wool I.

The invention relates to a ship noise identification method based on holographic spectrum and deep learning, and belongs to the field of signal processing. The method comprises the steps of firstly, carrying out standardization on an extracted signal, and then carrying out calculation through employing an empirical mode decomposition method to obtain an amplitude modulation holographic spectrum of the standardized signal; taking the amplitude modulation holographic spectrogram as feature input of a convolutional neural network classification model, and training the classification model; and using the trained classification model to classify and identify the ship noise. According to the method, the amplitude modulation holographic spectrogram is used as the feature of the ship noise, and the amplitude modulation information in the ship noise is obtained through the amplitude modulation holographic spectrum. The method is more stable in the complex and changeable marine environment.

The invention relates to a robust ship noise identifying method, and belongs to the field of marine signal processing. The method comprises the following steps: firstly an extracted signal is standardized, and then filter and Fourier transform combined processing is used to obtain a modulation spectrum of the signal; secondly, a modulation significance statistic quantity is calculated by dividinga value of a spectrum line with the maximum amplitude in the modulation spectrum by an average amplitude of the modulation spectrum; and finally, the modulation significance statistic quantity is compared with a threshold, if the modulation significance statistic quantity is larger than the threshold, a ship is considered to appear, and if the modulation significance statistic quantity is continuously smaller than the threshold in a period of time, no ship is considered to appear around. According to the method disclosed by the invention, a more stable physical variable, namely, a modulation characteristic of ship noise is utilized; and compared with a mode of using signal power to detect the ship noise, the method is more robust and better in anti-interference performance.

The invention discloses a ship noise reduction device. The ship noise reduction device is characterized by comprising a carrying board 1, a hollow damping mass block 2, a sound absorption material 3 and a band board 4. The hollow damping mass block 2 is installed on the carrying board 1. The middle portion of the carrying board is broken and the hollow damping mass block is fixed to the position between the two parts of the carrying board. The band board 4 is fixed to the hollow damping mass block 2. The sound absorption material 3 is installed on the band board 4. By the adoption of the ship noise reduction device, vibration and sound radiation in an engine compartment section of a ship are effectively reduced, the benefit ratio is high, economic cost is saved, the quality is guaranteed, and the production yield is increased.

The invention relates to a robust ship noise identifying method, and belongs to the field of marine signal processing. The method comprises the following steps: firstly an extracted signal is standardized, and then filter and Fourier transform combined processing is used to obtain a modulation spectrum of the signal; secondly, a modulation significance statistic quantity is calculated by dividinga value of a spectrum line with the maximum amplitude in the modulation spectrum by an average amplitude of the modulation spectrum; and finally, the modulation significance statistic quantity is compared with a threshold, if the modulation significance statistic quantity is larger than the threshold, a ship is considered to appear, and if the modulation significance statistic quantity is continuously smaller than the threshold in a period of time, no ship is considered to appear around. According to the method disclosed by the invention, a more stable physical variable, namely, a modulation characteristic of ship noise is utilized; and compared with a mode of using signal power to detect the ship noise, the method is more robust and better in anti-interference performance.

The invention relates to a ship noise identification method based on holographic spectrum and deep learning, which belongs to the field of signal processing. The method firstly standardizes the extracted signal, and then uses the empirical mode decomposition method to calculate the amplitude modulation hologram of the standardized signal. Spectrum. The amplitude-modulated hologram is used as the feature input of the convolutional neural network classification model to train the classification model. Use the trained classification model to classify and identify ship noise. The method of the invention uses the amplitude modulation hologram as the characteristic of the ship noise, and the amplitude modulation hologram obtains the amplitude modulation information in the ship noise, and is more stable in the complex and changeable ocean environment.

The hydroacoustic noise detecting and distinguishing method based on wavelet domain includes the first mean value-eliminating and amplitude normalizing treatment of ship noise and marine environment noise, and the subsequent multiple scale domain decomposing of the wavelet domain and establishing implicit wavelet domain Markov model. Based on the characteristic difference between marine environment noise model and ship radiation noise model, one detection method based on Nyman-Pearson criterion is proposed. The likelihood value between the ship noise and the marine environment noise HMT model is used as the inspection statistic for binary hypothesis inspection to raise the ship noise detecting capacity. One characteristic vector describing the detection sample is formed for judging ship noise type, resulting in raised identification rate and robustness.

The invention discloses an autonomous extracting method for a non-stable low-frequency line spectrum of ship noise. The method comprises the following steps of (1), performing ship noise long-integration power spectrum line spectrum first detection, and obtaining a suspected line spectrum; (2), for aiming at the suspected line spectrum, setting the number of segments in segmented power spectrum analysis and the interval length of the integration domain; (3), for aiming at the suspected line spectrum, setting the integration domain starting point in analysis of each segmented power spectrum; (4), performing ship noise secondary power spectrum estimation according to the preset integration domain starting point and the interval length; and (5), performing continuous spectrum automatic offsetand line spectrum autonomous identification extraction. The method aims at a difficulty of autonomous extraction for the non-stable low-frequency line spectrum of the ship noise; through automatic analysis for a non-stable characteristic of the low-frequency line spectrum of the ship noise, adaptive adjustment is performed on the number of segments in segmented power spectrum analysis, the integration domain starting point and the interval length, thereby improving tolerance of the power spectrum to the line spectrum non-stable characteristic, improving signal-to-noise ratio of the line spectrum, and realizing autonomous extraction to the non-stable low-frequency line spectrum of the ship noise through automatic continuous spectrum offset and autonomous line spectrum identification.

The invention relates to a subspace orientation estimation method based on a linear environmental noise model. For the actual noise environment, due to the influence of wind-generated noise and ship noise, the spatial noise intensity distribution is non-uniform, and the linear noise model is used for modeling. The spatial noise power distribution function is expanded by Fourier series, and the environmental noise model is approximated by using the finite term Fourier series. The signal subspace under the condition of linear noise model is extracted, and the orientation estimation of the target is obtained by using the orthogonality between the signal subspace and the noise subspace.

The invention discloses an installation method of a main engine with an elastic support, the main engine comprises a main engine carrier block and a main engine base, the main engine carrier block is connected with the main engine base through the elastic support, and the elastic support comprises a vertical shock absorbing block, a side shock absorbing block and a longitudinal shock absorbing block. The elastic support is arranged between the main engine carrier block and the base, and the vibration generated during the operation of the main engine is absorbed by a rubber damping device of the rubber shock absorbing block, so that the vibration and the noise are weakened. The use of the installation method can shorten the overall installation period of the ship main engine and greatly enhance the progress. The method is applicable to ships with higher requirements on the ship noise and the vibration indicators, so as to obtain good working and living environment of the ships and the comfort of passengers.

The invention discloses a ship noise power spectrum analysis circuit and method based on a controllable filter group, which effectively improves the fineness and real-time performance of signal power spectrum analysis. The technical scheme of the present invention is: a ship noise power spectrum analysis circuit based on a controllable filter bank, which is characterized in that it includes a series of filters set in parallel on the frequency band where the ship noise energy is concentrated and the series connection of the square integral detector combination, and a digital signal processor, wherein the outputs of all square-sigma detectors are connected to the inputs of the digital signal processor. The passband and center frequency of each channel filter are controlled by the external clock frequency, and each frequency band of ship radiation noise can be scanned sequentially according to the preset order, because the ship radiation noise signal power spectrum has certain time stability.

The invention provides a ship noise reduction plate and a preparation method. The ship noise reduction plate comprises a first metal plate, a first sound absorption and insulation composite plate, a second sound absorption and insulation composite plate, a third sound absorption and insulation composite plate and a second metal plate, which are sequentially connected in the longitudinal direction. The first sound absorption and insulation composite board comprises a plurality of first sound insulation parts and a plurality of first sound absorption parts; the second sound insulation composite board comprises a plurality of second sound insulation parts and a plurality of second sound absorption parts; the third sound absorption and insulation composite board comprises a plurality of third sound insulation parts and a plurality of third sound absorption parts; the first sound insulation part, the second sound absorption part and the third sound insulation part are longitudinally spliced; and the first sound absorption part, the second sound insulation part and the third sound absorption part are longitudinally spliced. The sound absorption and insulation composite board has the beneficial effects that the first sound absorption and insulation composite board, the second sound absorption and insulation composite board and the third sound absorption and insulation composite board are arranged at intervals through the sound absorption pieces and the sound insulation pieces in the transverse direction and the longitudinal direction, and independent noise reduction units are formed; according to the structure, the noise reduction effect is obviously better than that of a traditional noise reduction plate, and noise in different directions can be reduced.