Deep-sea full-sea-depth marine environment noise spectrum rapid forecasting method and device

Abstract

The invention provides a deep-sea full-sea-depth marine environment noise spectrum rapid forecasting method and device, and the method comprises the steps: calculating the noise level NLn of each ship at a receiving point position through determining the sound source level SLn of ship radiation noise and the sound propagation loss TLn of each ship arriving at the receiving point position; on the basis of unit time obtained through calculation, the noise levels of all ships at the receiving point positions are superposed, and ship navigation density simplified representation NLSy related to the navigational speed and position of each ship is obtained; obtaining a radiation noise spectrum level of the ship based on the ship density simplified representation NLSy, and calculating a wind seal marine environment noise spectrum level under different wind speeds Ui; and calculating the total noise level NLS of the full-sea marine environment of the deep sea to obtain a ship navigation noise forecasting model related to the simplified characterization parameters of the ship navigation density. According to the technical scheme of the invention, the statistical relationship between the measured data of the marine environment noise and the receiving depth can be utilized to obtain the distribution relationship of the marine environment noise levels and the depth of different sea areas and different frequency bands, and the rapid forecasting of the full-sea-depth marine environment noise is realized.

Description

Technical Field

[0001] The present invention belongs to the field of marine engineering technology, and in particular relates to a method and device for quickly predicting the spectrum of deep-sea full-sea ocean environmental noise. Background Art

[0002] Marine environmental noise is the background sound field that persists in the ocean. As background interference for sonar detection, it is an important basic data that is indispensable for the design and use of sonar. At the same time, marine environmental noise can also serve as a natural shelter for ships to sail secretly. Accurate marine environmental noise forecast results can provide an important reference for route planning.

[0003] With the emergence of low-noise submarines and the further development of various vibration reduction and noise reduction technologies, the target radiation noise level is often close to or even lower than the surrounding ocean environmental noise level. It is urgent to understand the temporal, spatial and frequency characteristics and fine structure of the ocean environmental noise in various sensitive sea areas to improve the signal-to-noise ratio of our target detection signal. Usually, with the help of theoretical models, according to the noise source and waveguide environment characteristics of the target sea area, the appropriate ocean environmental noise source model and sound propagation model are selected to construct a theoretical model of ocean environmental noise in a typical sea area for prediction. However, due to the broadband multi-type noise sources with non-uniform distribution in time and space and the complex and changeable ocean waveguide environment, the theoretical prediction accuracy of ocean environmental noise is difficult to guarantee.

[0004] This is especially true for deep-sea environments, where the seafloor topography in some sea areas is extremely complex: continental slopes can transmit near-shore ship noise to deep-sea sound channels, enabling long-distance transmission; at the same time, the "shielding effect" of seamounts may cause deep-sea environmental noise to exhibit significant horizontal anisotropy. Differences in waveguides make deep-sea environmental noise unique, and it is difficult to theoretically predict broadband ocean environmental noise.

[0005] Therefore, how to provide a method and device for rapid prediction of deep-sea full-sea ocean environmental noise spectrum, which can utilize the statistical relationship between the measured ocean environmental noise data and the receiving depth, obtain the distribution relationship between the ocean environmental noise level and depth in different frequency bands in different sea areas, and realize rapid prediction of full-sea ocean environmental noise, has become a technical problem that needs to be solved urgently. Summary of the invention

[0006] The embodiment of the present invention provides a method and device for rapid prediction of the spectrum of deep-sea full-sea environmental noise, which can utilize the statistical relationship between the measured data of the marine environmental noise and the receiving depth, obtain the distribution relationship between the marine environmental noise level and depth in different frequency bands in different sea areas, and realize rapid prediction of the marine environmental noise at the full sea depth.

[0007] In one embodiment of the present invention, a method for rapidly predicting the spectrum of deep-sea full-sea ocean environmental noise is provided, comprising:

[0008] S101. Determine the sound source level SL of the ship's radiated noise n , the sound propagation loss TL of each ship at the receiving point n , calculate the noise level NL of each ship at the receiving point n :

[0009] NL n =SL n -TL n

[0010] Among them, n represents the nth ship existing at the same time;

[0011] S102, based on the calculated unit time, the noise levels of all ships at the receiving point are superimposed to obtain a simplified representation of ship density NLSy related to the speed and position of each ship:

[0012]

[0013] Among them, SNL n =NL n -10lg(r n )-10lg(N), r n Indicates the position of the nth ship from the receiving point, and N is the number of ships in the area at that time;

[0014] S103, based on the simplified representation NLSy of the ship density, the radiation noise spectrum level of the ship is obtained as follows:

[0015] SNL=A·((f-50) / 500) 2 +B·((f-50) / 500)+C·NLSy

[0016] Among them, f is the frequency, A, B, and C are the quadratic fitting coefficients, which are determined by the measured data;

[0017] Different wind speed U i The spectral level of wind-related ocean ambient noise under the following conditions is:

[0018] NL(U i ,f)=NL(U0,f)+20n(f)(log 10 (U i )-log 10 (U0))

[0019] in,

[0020] 20n(f)=-A×[lg(f)-lg(B)] 2 +C

[0021]

[0022] Among them, U0 is the reference wind speed, unit is m / s; D, E, F, G are the quadratic fitting coefficients, which are determined by the measured data;

[0023] S104, calculating the total noise level NLS of the deep sea and the whole sea marine environment, and obtaining a ship noise prediction model related to the simplified characterization parameters of ship density:

[0024]

[0025] Furthermore, the sound source level SL of the ship radiated noise is determined n ,include:

[0026] When the length of the vessel is less than 150 meters

[0027] SL = SL0 - 35.68 + 45.04 × lg (v)

[0028]

[0029] When the length of the ship is 150m-250m

[0030] SL = SL0 - 60.43 + 59.65 × lg (v)

[0031]

[0032] When the length of the ship is greater than 250 meters

[0033] SL=SL0-44.4+46.4×lg(v)

[0034]

[0035] Among them, SL is the sound source level of the ship's radiated noise, SL0 is the initial sound source level of the ship's radiated noise, v is the ship's speed, and f is the frequency.

[0036] Furthermore, for the winter deep sea noise level depth distribution curve, segmented fitting is performed according to frequency and depth, and the obtained fitting formula includes:

[0037] When the frequency is 20Hz~200Hz:

[0038]

[0039] When the frequency is 200Hz~10kHz:

[0040]

[0041] Where d is the depth, C1, C2, C3 and C4 are constants, which are calculated from the prediction results, the measured results or the known noise level at a certain depth.

[0042] Furthermore, the method comprises:

[0043] In the low-frequency band, the depth distribution curve is divided into five sections in the depth dimension, namely 0-105 m, 105 m-260 m, 260 m-2700 m, 2700 m-4400 m, and 4400 m-5000 m. Each depth section is fitted with first-order or second-order terms to obtain the fitting curve with the highest similarity to the noise level depth distribution curve of each frequency;

[0044] In the high frequency band, the depth distribution curve is divided into four sections in the depth dimension, namely 0-105 meters, 105 meters to 260 meters, 260 meters to 4400 meters, and 4400 meters to 5000 meters. Each depth section is fitted with first-order or second-order terms to finally obtain the fitting curve with the highest similarity to the noise level depth distribution curve of each frequency.

[0045] Furthermore, for the relationship between the spectrum level of deep-sea environmental noise and depth in summer, the measured data were used to perform segmented fitting according to frequency and depth, and the fitting formula obtained included:

[0046] When the frequency is 80Hz~500Hz:

[0047]

[0048] When the frequency is 500Hz~10kHz:

[0049]

[0050] Where d is the depth, C1, C2, C3 and C4 are constants, which are calculated from the prediction results, the measured results or the known noise level at a certain depth.

[0051] Furthermore, the method comprises:

[0052] The noise level depth distribution curve in the high frequency band can be divided into three sections in depth, namely, the first section is 0-240 meters, the second section is 240 meters-3661 meters, and the third section is 3661 meters-4098 meters. 0-240 meters adopts a linear fitting, 240 meters-3661 meters adopts a quadratic fitting, and 3661 meters-4098 meters adopts a linear fitting;

[0053] For the low-frequency depth distribution curve, it can be divided into three sections in depth, namely the first part is 0-240 meters, the second part is 240 meters to 3661 meters, and the third part is 3661 meters to 4098 meters. 0-240 meters adopts linear fitting, 240 meters to 3661 meters adopts quadratic fitting, and 3661 meters to 4098 meters adopts linear fitting.

[0054] In another embodiment of the present invention, a device for rapid prediction of deep-sea full-sea ocean environment noise spectrum is provided. Based on a method for rapid prediction of deep-sea full-sea ocean environment noise spectrum as described in any one of the above items, the device comprises: a noise level calculation module, a simplified ship density representation module, a ship radiation noise spectrum level calculation module and a ship noise prediction model processing module;

[0055] The noise level calculation module is used to determine the sound source level SL of the ship's radiated noise. n , the sound propagation loss TL of each ship at the receiving point n , calculate the noise level NL of each ship at the receiving point n :

[0056] NL n =SL n -TL n

[0057] Among them, n represents the nth ship existing at the same time;

[0058] The simplified representation module of ship density, based on the calculated unit time, superimposes the noise levels of all ships at the receiving point to obtain a simplified representation of ship density NLSy related to the speed and position of each ship:

[0059]

[0060] Among them, SNL n =NL n -10lg(r n )-10lg(N), r n Indicates the position of the nth ship from the receiving point, and N is the number of ships in the area at that time;

[0061] The ship radiation noise spectrum level calculation module obtains the ship radiation noise spectrum level based on the ship density simplified representation NLSy:

[0062] SNL=A·((f-50) / 500) 2 +B·((f-50) / 500)+C·NLSy

[0063] Among them, f is the frequency, A, B, and C are the quadratic fitting coefficients, which are determined by the measured data;

[0064] Different wind speed U i The spectral level of wind-related ocean ambient noise under the following conditions is:

[0065] NL(U i ,f)=NL(U0,f)+20n(f)(log 10(U i )-log 10 (U0))

[0066] in,

[0067] 20n(f)=-A×[lg(f)-lg(B)] 2 +C

[0068]

[0069] Among them, U0 is the reference wind speed, unit is m / s; D, E, F, G are the quadratic fitting coefficients, which are determined by the measured data;

[0070] The ship noise prediction model processing module is used to calculate the total noise level NLS of the deep sea and the whole sea marine environment, and obtain the ship noise prediction model related to the simplified characterization parameters of the ship density:

[0071]

[0072] The beneficial effects brought by the present invention are as follows:

[0073] It can be seen from the above scheme that the embodiment of the present invention provides a method and device for rapid prediction of the spectrum of deep-sea full-sea ocean environmental noise, by determining the sound source level SL of the ship radiated noise n , the sound propagation loss TL of each ship at the receiving point n , calculate the noise level NL of each ship at the receiving point n ; Based on the calculated unit time, the noise levels of all ships at the receiving point are superimposed to obtain a simplified representation of the ship density NLSy related to the speed and position of each ship; Based on the simplified representation of the ship density NLSy, the radiated noise spectrum of the ship is obtained, and the different wind speeds U are calculated i The wind-related ocean environmental noise spectrum level under the condition of wind; the total noise level NLS of the deep-sea full-sea ocean environment is calculated, and the ship noise prediction model related to the simplified characterization parameters of ship density is obtained. The technical scheme of the present invention can use the statistical relationship between the measured data of ocean environmental noise and the receiving depth to obtain the distribution relationship between the ocean environmental noise level and depth in different frequency bands in different sea areas, and realize the rapid prediction of full-sea deep ocean environmental noise. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 A flow chart showing a method for rapid prediction of deep-sea full-sea ocean environmental noise spectrum according to an embodiment of the present invention;

[0075] Figure 2 A diagram showing an empirical model of source level of ship radiated noise spectrum after optimization of a method for rapid prediction of deep-sea full-sea ocean environmental noise spectrum according to an embodiment of the present invention. DETAILED DESCRIPTION

[0076] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0077] In the embodiment of the present invention, based on the measured ship noise source database, the source level model of the ship radiated noise spectrum is optimized, combined with the simplified model of sound propagation loss at the deep sea conjugate depth, the weight of the single ship contribution is comprehensively considered, and the scientific characterization of the ship noise contribution is achieved, which solves the problem of unclear description of the ship noise contribution to a certain extent. In addition, combined with the theoretical prediction results and measured results of deep-sea environmental noise, the depth distribution law of marine environmental noise in typical deep sea areas is obtained by frequency band analysis, and the rapid prediction of the full-sea deep marine environmental noise spectrum is achieved.

[0078] like Figure 1 and Figure 2 As shown, Figure 1 A flow chart showing a method for rapid prediction of deep-sea full-sea ocean environmental noise spectrum according to an embodiment of the present invention; Figure 2 A diagram showing an empirical model of source level of ship radiated noise spectrum after optimization of a method for rapid prediction of deep-sea full-sea ocean environmental noise spectrum according to an embodiment of the present invention.

[0079] Figure 1 A rapid prediction method for the spectrum of deep-sea full-sea ocean environmental noise includes:

[0080] S101. Determine the sound source level SL of the ship's radiated noise n , the sound propagation loss TL of each ship at the receiving point n , calculate the noise level NL of each ship at the receiving point n :

[0081] NL n =SL n -TL n

[0082] Among them, n represents the nth ship existing at the same time;

[0083] S102, based on the calculated unit time, the noise levels of all ships at the receiving point are superimposed to obtain a simplified representation of ship density NLSy related to the speed and position of each ship:

[0084]

[0085] Among them, SNL n =NL n -10lg(r n )-10lg(N), r n Indicates the position of the nth ship from the receiving point, and N is the number of ships in the area at that time;

[0086] S103, based on the simplified representation NLSy of the ship density, the radiation noise spectrum level of the ship is obtained as follows:

[0087] SNL=A·((f-50) / 500) 2 +B·((f-50) / 500)+C·NLSy

[0088] Among them, f is the frequency, A, B, and C are the quadratic fitting coefficients, which are determined by the measured data;

[0089] Different wind speed U i The spectral level of wind-related ocean ambient noise under the following conditions is:

[0090] NL(U i ,f)=NL(U0,f)+20n(f)(log 10 (U i )-log 10 (U0))

[0091] in,

[0092] 20n(f)=-A×[lg(f)-lg(B)] 2 +C

[0093]

[0094] Among them, U0 is the reference wind speed, unit is m / s; D, E, F, G are the quadratic fitting coefficients, which are determined by the measured data;

[0095] S104, calculating the total noise level NLS of the deep sea and the whole sea marine environment, and obtaining a ship noise prediction model related to the simplified characterization parameters of ship density:

[0096]

[0097] Based on the empirical model of ship radiated noise, ship distribution and synchronized marine meteorology, rapid forecast of the marine environment in typical sea areas can be achieved.

[0098] In the embodiment of the present invention, the ship radiated noise data measured in a certain offshore sea area is used for analysis. Based on the recently acquired measured ship noise data and AIS information, the ship radiated noise source level is calculated, and the ship radiated noise spectrum source level model is optimized using the original ship radiated noise source database and the recently acquired ship radiated noise data. Figure 2 The solid line is the source level obtained from the measured ship radiation noise data, and the dotted line is the source level predicted by the empirical model after optimization. Figure 2 It can be seen that the optimized empirical model can accurately predict the source level of ship radiated noise.

[0099] In one embodiment of the present invention, the sound source level SL of the ship radiated noise is determined n ,include:

[0100] When the length of the vessel is less than 150 meters

[0101] SL = SL0 - 35.68 + 45.04 × lg (v)

[0102]

[0103] When the length of the ship is 150m-250m

[0104] SL = SL0 - 60.43 + 59.65 × lg (v)

[0105]

[0106] When the length of the ship is greater than 250 meters

[0107] SL=SL0-44.4+46.4×lg(v)

[0108]

[0109] Among them, SL is the sound source level of the ship's radiated noise, SL0 is the initial sound source level of the ship's radiated noise, v is the ship's speed, and f is the frequency.

[0110] When new ship data is obtained, the data is added to the original ship measured ship noise source database to form a new radiation noise source database, and the ship radiation noise spectrum source level model is optimized and updated.

[0111] Based on the source level model of ship radiated noise spectrum, combined with the simplified model of sound propagation loss, the contribution weight of a single ship is comprehensively considered to achieve scientific characterization of ship noise contribution. The AIS data is screened and interpolated to ensure that the AIS data of each ship is uninterrupted in the target area and time range, and the speed, length, longitude and latitude of all ships in the target area per unit time during the test are obtained; the measured noise data is processed to obtain the noise level change curve of 20-500Hz bandwidth in the target area over time.

[0112] Based on the ship radiation noise source level model and the ship AIS information at the time of passing the measuring point, combined with the simplified sound propagation loss model, the noise level at the receiving point can be obtained; after calculating the noise level of each ship at the receiving position per unit time, the noise levels of all ships at that moment are superimposed to obtain the curve of the ship noise level at the receiving point changing with time, and compared with the curve of the measured ocean environment noise level changing with time, a linear change relationship between parameters such as speed and broadband noise level is established, that is, a simplified representation of ship density; combined with the measured ocean environment noise spectrum level curve, the ship noise prediction formula of the noise level changing with frequency is obtained, and finally the ship noise prediction model related to the simplified representation parameters of ship density is obtained.

[0113] In one embodiment of the present invention, for the winter deep sea noise level depth distribution curve, segmented fitting is performed according to frequency and depth, and the obtained fitting formula includes:

[0114] When the frequency is 20Hz~200Hz:

[0115]

[0116] When the frequency is 200Hz~10kHz:

[0117]

[0118] Where d is the depth, C1, C2, C3 and C4 are constants, which are calculated from the prediction results, the measured results or the known noise level at a certain depth.

[0119] In another embodiment of the present invention, the method comprises:

[0120] In the low-frequency band, the depth distribution curve is divided into five sections in the depth dimension, namely 0-105 m, 105-260 m, 260 m-2700 m, 2700 m-4400 m, and 4400 m-5000 m. Each depth section is fitted with first-order or second-order terms to obtain the fitting curve with the highest similarity to the noise level depth distribution curve of each frequency;

[0121] In the high frequency band, the depth distribution curve is divided into four sections in the depth dimension, namely 0-105 meters, 105 meters to 260 meters, 260 meters to 4400 meters, and 4400 meters to 5000 meters. Each depth section is fitted with first-order or second-order terms to finally obtain the fitting curve with the highest similarity to the noise level depth distribution curve of each frequency.

[0122] In another embodiment of the present invention, for the relationship between the spectrum level of deep-sea environmental noise and depth in summer, measured data is used to perform segmented fitting according to frequency and depth, and the obtained fitting formula includes:

[0123] When the frequency is 80Hz~500Hz:

[0124]

[0125] When the frequency is 500Hz~10kHz:

[0126]

[0127] Where d is the depth, C1, C2, C3 and C4 are constants, which are calculated from the prediction results, the measured results or the known noise level at a certain depth.

[0128] In another embodiment of the present invention, the method comprises:

[0129] The noise level depth distribution curve in the high frequency band can be divided into three sections in depth, namely, the first section is 0-240 meters, the second section is 240 meters-3661 meters, and the third section is 3661 meters-4098 meters. 0-240 meters adopts a linear fitting, 240 meters-3661 meters adopts a quadratic fitting, and 3661 meters-4098 meters adopts a linear fitting;

[0130] For the low-frequency depth distribution curve, it can be divided into three sections in depth, namely the first part is 0-240 meters, the second part is 240 meters to 3661 meters, and the third part is 3661 meters to 4098 meters. 0-240 meters adopts linear fitting, 240 meters to 3661 meters adopts quadratic fitting, and 3661 meters to 4098 meters adopts linear fitting.

[0131] In another embodiment of the present invention, a device for rapid prediction of deep-sea full-sea ocean environment noise spectrum is provided. Based on a method for rapid prediction of deep-sea full-sea ocean environment noise spectrum as described in any one of the above items, the device comprises: a noise level calculation module, a simplified ship density representation module, a ship radiation noise spectrum level calculation module and a ship noise prediction model processing module;

[0132] The noise level calculation module is used to determine the sound source level SL of the ship's radiated noise. n, the sound propagation loss TL of each ship at the receiving point n , calculate the noise level NL of each ship at the receiving point n :

[0133] NL n =SL n -TL n

[0134] Among them, n represents the nth ship existing at the same time;

[0135] The simplified representation module of ship density, based on the calculated unit time, superimposes the noise levels of all ships at the receiving point to obtain a simplified representation of ship density NLSy related to the speed and position of each ship:

[0136]

[0137] Among them, SNL n =NL n -10lg(r n )-10lg(N), r n Indicates the position of the nth ship from the receiving point, and N is the number of ships in the area at that time;

[0138] The ship radiation noise spectrum level calculation module obtains the ship radiation noise spectrum level based on the ship density simplified representation NLSy:

[0139] SNL=A·((f-50) / 500) 2 +B·((f-50) / 500)+C·NLSy

[0140] Among them, f is the frequency, A, B, and C are the quadratic fitting coefficients, which are determined by the measured data;

[0141] Different wind speed U i The spectral level of wind-related ocean ambient noise under the following conditions is:

[0142] NL(U i ,f)=NL(U0,f)+20n(f)(log 10 (U i )-log 10 (U0))

[0143] in,

[0144] 20n(f)=-A×[lg(f)-lg(B)] 2 +C

[0145]

[0146] Among them, U0 is the reference wind speed, unit is m / s; D, E, F, G are the quadratic fitting coefficients, which are determined by the measured data;

[0147] The ship noise prediction model processing module is used to calculate the total noise level NLS of the deep sea and the whole sea marine environment, and obtain the ship noise prediction model related to the simplified characterization parameters of the ship density:

[0148]

[0149] In an embodiment of the present invention, based on measured data and theoretical simulation, the variation law of the background noise spectrum level in a typical sea area with depth and its correlation with meteorological, hydrological and other factors are studied, and the depth distribution law of the ocean environmental noise under two sound speed profiles in deep sea summer and deep sea winter is summarized.

[0150] The deep sea is a completely deep-sea sound channel, and the sound propagation process is complex. The characteristics of the noise level depth distribution curves of different frequencies are also quite different. Therefore, when fitting the noise level depth distribution curve, it is necessary to divide it into sections not only in terms of depth, but also in terms of frequency.

[0151] The change of deep-sea environmental noise with depth in a certain sea area in winter, the noise level depth distribution curves of the medium-low frequency band and the high frequency band have relatively consistent change trends in their respective frequency bands. The frequency range of the low frequency band is 20Hz~200Hz, and the frequency range of the high frequency band is 200Hz~10kHz. In the middle frequency band, that is, 80Hz~160Hz, the noise level depth distribution curve has certain similarities with the low-frequency and high-frequency curves, but the noise level depth distribution at the sea surface is closer to the low-frequency noise.

[0152] In terms of frequency, it is divided into two parts: a low frequency band of 20 to 200 Hz and a high frequency band of 200 to 10 kHz. In terms of depth, the depth distribution curves of the high frequency band and the low frequency band need to be discussed separately.

[0153] The depth distribution curve of the noise level in the high frequency band has a clear law of change with depth, and the depth distribution curves of each 1 / 3 octave frequency point are relatively similar. When fitting, a set of parameters can be used for fitting, and the difference is only reflected in the constant. The depth distribution curve of the low-frequency noise level needs to be divided into two parts for discussion. In the low frequency band of 80Hz to 500Hz, the depth distribution curve has a clear law of change and is relatively similar.

[0154] Among them, based on the characterization of ship noise contribution and the measured results of marine environmental noise, an empirical model of marine environmental noise in typical sea areas was formed, and the depth distribution law of marine environmental noise in typical deep sea areas was obtained by frequency band analysis, realizing the rapid prediction of the marine environmental noise spectrum at all sea depths.

[0155] In one embodiment of the present invention, the ocean environmental noise data obtained in a certain sea area in the western Pacific Ocean is used for analysis, and the AIS data during this period is combined to calculate the change curve of the ship characterization quantity in the target sea area over time, and compare it with the curve of the measured broadband noise level over time. Within 100 hours, the change trend of the NLSy and the measured broadband ocean environmental noise over time curve is basically consistent with the change trend of the NLSy and the measured broadband ocean environmental noise level over time curve after 24-point smoothing.

[0156] In one embodiment of the present invention, the measured ship noise spectrum level curve at a certain moment is compared with the calculated ship noise spectrum level curve, the solid line is the measured data processing result, and the dotted line is the model prediction result. The measured data processing result and the model prediction result have similar changing trends with frequency, the difference is that the measured data processing result has different degrees of fluctuations, while the model prediction result is a smooth curve.

[0157] In another embodiment of the present invention, the ship radiated noise level calculated by the ship characterization quantity is compared with the ocean environmental noise spectrum level predicted by the wind noise model when the wind speed is 4m / s. Through the prediction of the technical solution of the present invention, the depth distribution curve of deep sea noise level in summer and winter is obtained, with a prediction frequency of 300Hz and a predicted sea depth of 2000m.

[0158] In the embodiment of the present invention, a method and device for rapid prediction of deep sea full-sea ocean environmental noise spectrum is provided, by determining the sound source level SL of the ship radiated noise n , the sound propagation loss TL of each ship at the receiving point n , calculate the noise level NL of each ship at the receiving point n ; Based on the calculated unit time, the noise levels of all ships at the receiving point are superimposed to obtain a simplified representation of the ship density NLSy related to the speed and position of each ship; Based on the simplified representation of the ship density NLSy, the radiated noise spectrum of the ship is obtained, and the different wind speeds U are calculated i The noise spectrum level of the wind-related ocean environment under high pressure is calculated; the total noise level NLS of the deep-sea and full-sea ocean environment is calculated, and a ship noise prediction model related to the simplified characterization parameters of ship density is obtained.

[0159] The technical solution of the present invention can utilize the statistical relationship between the measured data of ocean environmental noise and the receiving depth to obtain the distribution relationship between the ocean environmental noise level and depth in different frequency bands in different sea areas, and realize the rapid prediction of ocean environmental noise at all sea depths.

[0160] The above are preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A method for rapid prediction of deep sea full-sea ocean environmental noise spectrum, characterized in that: The method comprises: S101. Determine the sound source level SL of the ship's radiated noise n , the sound propagation loss TL of each ship at the receiving point n , calculate the noise level NL of each ship at the receiving point n : NL n =SL n -TL n Among them, n represents the nth ship existing at the same time; S102, based on the calculated unit time, the noise levels of all ships at the receiving point are superimposed to obtain a simplified representation of ship density NLSy related to the speed and position of each ship: Among them, SNL n =NL n -10lg(r n )-10lg(N), r n Indicates the position of the nth ship from the receiving point, and N is the number of ships in the area at that time; S103, based on the simplified representation NLSy of the ship density, the radiation noise spectrum level of the ship is obtained as follows: SNL=A·((f-50) / 500) 2 +B·((f-50) / 500)+C·NLSy Among them, f is the frequency, A, B, and C are the quadratic fitting coefficients, which are determined by the measured data; Different wind speed U i The spectral level of wind-related ocean ambient noise under the following conditions is: NL(U i ,f)=NL(U0,f)+20n(f)(log 10 (U i )-log 10 (U0)) in, 20n(f)=-A×[lg(f)-lg(B)] 2 +C Among them, U0 is the reference wind speed, in m / s; D, E, F, G are quadratic fitting coefficients, determined by measured data; S104, calculating the total noise level NLS of the deep sea and the whole sea marine environment, and obtaining a ship noise prediction model related to the simplified characterization parameters of ship density:

2. The method for rapid prediction of deep sea full-sea ocean environmental noise spectrum according to claim 1 is characterized in that: Determine the sound source level SL of the ship's radiated noise, including: When the length of the vessel is less than 150 meters SL = SL0 - 35.68 + 45.04 × lg (v) When the length of the ship is 150m-250m SL = SL0 - 60.43 + 59.65 × lg (v) When the length of the ship is greater than 250 meters SL=SL0-44.4+46.4×lg(v) Among them, SL is the sound source level of the ship's radiated noise, SL0 is the initial sound source level of the ship's radiated noise, v is the ship's speed, and f is the frequency.

3. The method for rapid prediction of deep sea full-sea ocean environmental noise spectrum according to claim 2 is characterized in that: For the winter deep sea noise level depth distribution curve, segmented fitting is performed according to frequency and depth, and the fitting formula obtained includes: When the frequency is 20Hz~200Hz: When the frequency is 200Hz~10kHz: Where d is the depth, C1, C2, C3 and C4 are constants, which are calculated from the prediction results, the measured results or the known noise level at a certain depth.

4. The method for rapid prediction of deep sea full-sea ocean environmental noise spectrum according to claim 3 is characterized in that: The method comprises: In the low-frequency band, the depth distribution curve is divided into five sections in the depth dimension, namely 0-105 m, 105 m-260 m, 260 m-2700 m, 2700 m-4400 m, and 4400 m-5000 m. Each depth section is fitted with first-order or second-order terms to obtain the fitting curve with the highest similarity to the noise level depth distribution curve of each frequency; In the high frequency band, the depth distribution curve is divided into four sections in the depth dimension, namely 0-105 meters, 105 meters to 260 meters, 260 meters to 4400 meters, and 4400 meters to 5000 meters. Each depth section is fitted with first-order or second-order terms to finally obtain the fitting curve with the highest similarity to the noise level depth distribution curve of each frequency.

5. The method for rapid prediction of deep sea full-sea ocean environmental noise spectrum according to claim 2 is characterized in that: For the relationship between the spectrum level of deep-sea environmental noise and depth in summer, the measured data is used to perform segmented fitting according to frequency and depth. The fitting formula obtained includes: When the frequency is 80Hz~500Hz: When the frequency is 500Hz~10kHz: Where d is the depth, C1, C2, C3 and C4 are constants, which are calculated from the prediction results, the measured results or the known noise level at a certain depth.

6. The method for rapid prediction of deep sea full-sea ocean environmental noise spectrum according to claim 5 is characterized in that: The method comprises: The noise level depth distribution curve in the high frequency band can be divided into three sections in depth, namely, the first section is 0-240 meters, the second section is 240 meters-3661 meters, and the third section is 3661 meters-4098 meters. 0-240 meters adopts a linear fitting, 240 meters-3661 meters adopts a quadratic fitting, and 3661 meters-4098 meters adopts a linear fitting; For the low-frequency depth distribution curve, it can be divided into three sections in depth, namely the first part is 0-240 meters, the second part is 240 meters to 3661 meters, and the third part is 3661 meters to 4098 meters. 0-240 meters adopts linear fitting, 240 meters to 3661 meters adopts quadratic fitting, and 3661 meters to 4098 meters adopts linear fitting.

7. A rapid prediction device for deep-sea full-sea ocean environmental noise spectrum, based on a rapid prediction method for deep-sea full-sea ocean environmental noise spectrum as claimed in any one of claims 1 to 6, characterized in that: The device comprises: a noise level calculation module, a simplified ship density representation module, a ship radiation noise spectrum level calculation module and a ship noise prediction model processing module; The noise level calculation module is used to determine the sound source level SL of the ship's radiated noise. n , the sound propagation loss TL of each ship at the receiving point n , calculate the noise level NL of each ship at the receiving point n : NL n =SL n -TL n Among them, n represents the nth ship existing at the same time; The simplified representation module of ship density, based on the calculated unit time, superimposes the noise levels of all ships at the receiving point to obtain a simplified representation of ship density NLSy related to the speed and position of each ship: Among them, SNL n =NL n -10lg(r n )-10lg(N), r n Indicates the position of the nth ship from the receiving point, and N is the number of ships in the area at that time; The ship radiation noise spectrum level calculation module obtains the ship radiation noise spectrum level based on the ship density simplified representation NLSy: SNL=A·((f-50) / 500) 2 +B·((f-50) / 500)+C·NLSy Among them, f is the frequency, A, B, and C are the quadratic fitting coefficients, which are determined by the measured data; Different wind speed U i The spectral level of wind-related ocean ambient noise under the following conditions is: NL(U i ,f)=NL(U0,f)+20n(f)(log 10 (U i )-log 10 (U0)) in, 20n(f)=-A×[lg(f)-lg(B)] 2 +C Among them, U0 is the reference wind speed, in m / s; D, E, F, G are quadratic fitting coefficients, determined by measured data; The ship noise prediction model processing module is used to calculate the total noise level NLS of the deep sea and the whole sea marine environment, and obtain the ship noise prediction model related to the simplified characterization parameters of the ship density:

Images