Method, device, equipment and medium for determining distance of deep-sea sound propagation convergence zone
By constructing a sound line trajectory group through a three-layer broken line model and Snell's law, the problem of time-consuming distance calculation in the deep-sea convergence area is solved, more efficient calculation and detection efficiency is achieved, and the research on deep-sea sound propagation characteristics is improved.
Patent Information
- Application Number
- CN202411408545.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-10
- Publication Date
- 2025-09-26
- Estimated Expiration
- 2044-10-10
AI Technical Summary
Existing technologies take a long time to calculate the distance of deep-sea convergence zones in large sea areas, and the calculation efficiency is low.
Using a three-layer broken line model and Snell's law, the first and second circular arc trajectory groups are constructed. By simplifying the relationship between the sound speed and water depth, the critical sound ray trajectory in the deep-sea convergence zone is determined, and the sound ray propagation trajectory is accurately expressed.
The calculation efficiency of the convergence zone distance is improved, the calculation time is shortened, the detection and search efficiency is improved, and the sound propagation characteristics of the deep-sea convergence zone can be better understood.
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Figure CN119270279B_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the field of marine acoustic technology, and in particular relates to a method, device, equipment and medium for determining the distance of a deep-sea sound propagation convergence zone. Background Art
[0002] The convergence zone is a long-range sound propagation phenomenon in the deep ocean. It is manifested as the sound waves emitted by the sound source near the sea surface propagating along the refraction path in the deep sea and reversing, reappearing near the sea surface, forming a ring-shaped high sound intensity area. The propagation loss in the convergence zone is significantly lower than the spherical expansion loss, and can be used for underwater acoustic communication, target detection, etc.
[0003] At present, the method of approximate numerical solution of wave equation is generally used to calculate the sound propagation path, so as to obtain the distance of the convergence area.
[0004] However, when it is necessary to calculate the distance of the convergence zone in a large sea area, it has the disadvantage of being time-consuming. Summary of the Invention
[0005] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a method, device, equipment and medium for determining the distance of a deep-sea sound propagation convergence zone, which improves the calculation efficiency of the deep-sea convergence zone distance.
[0006] In a first aspect, the present application provides a method for determining the distance of a deep-sea sound propagation convergence zone, the method comprising:
[0007] Obtain the water depth data and corresponding sound speed at the boundary of each layer of seawater in the target sea area, and construct a three-layer broken line model of the sound speed profile;
[0008] Constructing a first circular arc trajectory group and a second circular arc trajectory group based on the three-layer broken line model, the sound source position of the target sea area and Snell's law;
[0009] Determining a first critical sound ray trajectory and a second critical sound ray trajectory in a deep-sea convergence zone of the target sea area based on the first circular arc trajectory group and the second circular arc trajectory group;
[0010] The convergence zone distance of the target sea area is determined according to the first critical sound ray trajectory and the second critical sound ray trajectory.
[0011] According to the method for determining the distance of the deep-sea sound propagation convergence zone of the present application, the changing relationship between the sound speed and the water depth in the target sea area is simplified through a three-layer broken line model, the calculation complexity is reduced, and the calculation time is shortened. Based on Snell's law, the first arc trajectory group and the second arc trajectory group obtained can accurately express the sound line propagation trajectory, while ensuring the accuracy of the convergence zone distance, the calculation efficiency of the convergence zone distance of the target sea area is improved.
[0012] According to one embodiment of the present application, constructing the first arc trajectory group and the second arc trajectory group based on the three-layer broken line model, the sound source position of the target sea area, and Snell's law includes:
[0013] Determine the sea surface sound speed, mixed layer water depth data and the corresponding first sound speed, the water depth data at the lowest point of sound speed and the corresponding second sound speed, the reference water depth data and the corresponding third sound speed, and the seabed water depth data and the corresponding fourth sound speed of the target sea area in the three-layer broken line model, wherein the reference water depth data is the conjugate value of the mixed layer water depth data;
[0014] constructing the first circular arc trajectory group based on the sound source position and the sea surface sound speed, the mixed layer water depth data, the first sound speed, the water depth data of the lowest sound speed point, the second sound speed, the reference water depth data and the third sound speed;
[0015] The second circular arc trajectory group is constructed based on the sound source position and the sea surface sound speed, the mixed layer water depth data, the first sound speed, the water depth data of the lowest sound speed point, the second sound speed, the seabed water depth data and the fourth sound speed.
[0016] According to one embodiment of the present application, the first arc trajectory group includes a first arc, a second arc, and a third arc;
[0017] The first arc is:
[0018]
[0019] The second arc is:
[0020]
[0021] The third arc is:
[0022]
[0023] Among them, v0 is the sea surface sound speed, h1 is the mixed layer water depth data, v1 is the first sound speed, h2 is the water depth data at the lowest point of sound speed, v2 is the second sound speed, h3 is the reference water depth data, and v3 is the third sound speed.
[0024] According to one embodiment of the present application, the second arc trajectory group includes a fourth arc, a fifth arc, and a sixth arc;
[0025] The fourth arc is:
[0026]
[0027] The fifth arc is:
[0028]
[0029] The sixth arc is:
[0030]
[0031] Among them, v0 is the sea surface sound speed, h1 is the mixed layer water depth data, v1 is the first sound speed, h2 is the water depth data at the lowest point of sound speed, v2 is the second sound speed, h4 is the seabed water depth data, and v4 is the fourth sound speed.
[0032] According to one embodiment of the present application, determining the convergence zone distance of the target sea area according to the first critical sound ray trajectory and the second critical sound ray trajectory includes:
[0033] determining a first abscissa of the lowest point of the first critical sound ray trajectory, and determining a second abscissa of the lowest point of the second critical sound ray trajectory;
[0034] The convergence area distance is determined based on twice the deviation between the first abscissa and the second abscissa.
[0035] According to one embodiment of the present application, obtaining the water depth data and corresponding sound speed of each layer of seawater at the boundary in the target sea area includes:
[0036] Acquiring sound velocity profile information of the target sea area;
[0037] Based on the sound velocity profile information, the water depth data and the corresponding sound velocity of each layer of seawater at the boundary are extracted.
[0038] In a second aspect, the present application provides a device for determining the distance of a deep-sea sound propagation convergence zone, the device comprising:
[0039] The acquisition module is used to obtain the water depth data and corresponding sound speed of each layer of seawater at the junction of the target sea area, and construct a three-layer broken line model of the sound speed profile;
[0040] A first processing module is configured to construct a first arc trajectory group and a second arc trajectory group based on the three-layer broken line model, the sound source position of the target sea area, and Snell's law;
[0041] a second processing module, configured to determine a first critical sound ray trajectory and a second critical sound ray trajectory in the deep sea convergence zone of the target sea area based on the first circular arc trajectory group and the second circular arc trajectory group;
[0042] The third processing module is configured to determine a convergence zone distance of the target sea area according to the first critical sound ray trajectory and the second critical sound ray trajectory.
[0043] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method for determining the distance of the deep-sea sound propagation convergence zone as described in the first aspect above is implemented.
[0044] In a fourth aspect, the present application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for determining the distance of the deep-sea sound propagation convergence zone as described in the first aspect above.
[0045] In a fifth aspect, the present application provides a chip, which includes a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the method for determining the distance of the deep-sea sound propagation convergence area as described in the first aspect.
[0046] In a sixth aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the method for determining the distance of the deep-sea sound propagation convergence zone as described in the first aspect above.
[0047] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become obvious from the description below, or will be learned through practice of the present application.
[0048] The method for determining the distance of the deep-sea sound propagation convergence zone provided by the present invention has the following beneficial effects compared with the prior art:
[0049] (1) The relationship between the speed of sound and the water depth in the target sea area is simplified through a three-layer broken line model, which reduces the computational complexity and shortens the computational time. Based on Snell's law, the first arc trajectory group and the second arc trajectory group obtained can accurately express the propagation trajectory of the sound line, thereby improving the calculation efficiency of the convergence zone distance in the target sea area while ensuring the accuracy of the convergence zone distance. Based on the characteristic of low sound propagation loss in the convergence zone, the sonar detection system can use the convergence zone mode to detect underwater targets in the convergence zone. The improvement in the calculation efficiency of the convergence zone distance can effectively improve the detection and search efficiency.
[0050] (2) By retrieving the sound velocity profile information of the known target sea area, the distance to the deep-sea sound propagation convergence zone can be quickly calculated. Compared with the method of numerically solving the wave equation, this method has higher computational efficiency. When it is necessary to calculate the convergence zone distance in a large sea area, the calculation time can be significantly shortened, thereby improving the detection and search efficiency.
[0051] (3) The three-layer broken line model constructed in this application and the first critical sound line trajectory and the second critical sound line trajectory obtained not only help to understand the sound propagation characteristics of the deep-sea convergence zone, but also further obtain other characteristic parameters such as the second convergence zone distance, the third convergence zone distance and range, which helps to study the influence of the deep-sea sound speed profile on the characteristic parameters of the convergence zone, and can also be extended to other deep-sea sound propagation modes. BRIEF DESCRIPTION OF THE DRAWINGS
[0052] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:
[0053] Figure 1 1 is a flow chart of a method for determining the distance of a deep-sea sound propagation convergence zone provided in an embodiment of the present application;
[0054] Figure 2 Schematic diagram of a three-layer broken line model of a target sea area provided in an embodiment of the present application;
[0055] Figure 3 is a schematic diagram of the change of the critical sound ray trajectory provided by the embodiment of the present application;
[0056] Figure 4 2 is a schematic structural diagram of a device for determining the distance of a deep-sea sound propagation convergence zone provided in an embodiment of the present application;
[0057] Figure 5 It is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0058] The following will be combined with the accompanying drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the embodiments described are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of this application.
[0059] The terms "first," "second," and the like in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein, and that the objects distinguished by "first," "second," and the like are generally of the same type, and do not limit the number of objects; for example, the first object can be one or more. In addition, the term "and / or" in the specification and claims refers to at least one of the connected objects, and the character " / " generally indicates that the objects connected are in an "or" relationship.
[0060] It should be noted that in deep oceans, when surface vessels use convergence zone mode to detect targets near the surface, knowing the distance to the convergence zone in the waters they are in can assist in selecting detection positions, focusing searches on a specific area, and improving detection and search efficiency. Therefore, convergence zone distance is one of the important factors affecting sonar detection efficiency.
[0061] Below, in combination with the accompanying drawings, the method for determining the distance of the deep-sea sound propagation convergence area, the device for determining the distance of the deep-sea sound propagation convergence area, the electronic device and the readable storage medium provided in the embodiments of the present application are described in detail through specific embodiments and their application scenarios.
[0062] Among them, the method for determining the distance of the deep-sea sound propagation convergence area can be applied to the terminal, and can be specifically executed by the hardware or software in the terminal.
[0063] The terminal includes, but is not limited to, a portable communication device such as a mobile phone or tablet computer having a touch-sensitive surface (e.g., a touch screen display and / or a touch pad). It should also be understood that, in some embodiments, the terminal may not be a portable communication device, but a desktop computer having a touch-sensitive surface (e.g., a touch screen display and / or a touch pad).
[0064] In the following embodiments, a terminal including a display and a touch-sensitive surface is described. However, it should be understood that the terminal may include one or more other physical user interface devices such as a physical keyboard, a mouse, and a joystick.
[0065] The method for determining the distance of a deep-sea sound propagation convergence area provided in an embodiment of the present application may be executed by an electronic device or a functional module or functional entity in an electronic device that can implement the method for determining the distance of a deep-sea sound propagation convergence area. The electronic devices mentioned in the embodiment of the present application include but are not limited to mobile phones, tablet computers, computers, cameras, and wearable devices. The method for determining the distance of a deep-sea sound propagation convergence area provided in an embodiment of the present application is described below using an electronic device as an example of the execution subject.
[0066] like Figure 1 As shown, the method for determining the distance of the deep-sea sound propagation convergence area includes: steps 110 to 130.
[0067] Step 110: Obtain the water depth data and corresponding sound speed of each layer of seawater at the boundary in the target sea area, and construct a three-layer broken line model of the sound speed profile.
[0068] The target sea area is the measurement area of the distance to the sound propagation convergence area, and a sound source is set on the sea surface of the target sea area.
[0069] The water depth data is the vertical distance from the water surface to the top or bottom of each sea layer, and the sound speed is the speed of sound wave propagation corresponding to the position of the water depth data.
[0070] The seawater in the target sea area can be divided into the surface layer, sonic jump layer and deep layer according to temperature and salinity, or it can be divided according to the trend of sound speed changing with water depth.
[0071] It should be noted that the speed of sound in seawater can be a function constructed based on parameters such as water pressure, temperature and salinity. In most deep-sea areas around the world, the trend of seawater sound speed changing with water depth can be divided into surface layer, sonic jump layer and deep layer. Therefore, the seawater stratification method based on surface layer, sonic jump layer and deep layer is more in line with the changing characteristics of seawater sound speed, facilitates the understanding and analysis of the three-fold line model, and provides a basis for improving calculation accuracy.
[0072] In this step, the water depth and sound speed in the target sea area are measured through sonar equipment or satellite remote sensing technology, combined with a conductivity temperature pressure (CTD) detector, to obtain the water depth data and corresponding sound speed at the junction of each layer of seawater. These water depth data and corresponding sound speeds are connected as coordinate points in a rectangular coordinate system to obtain a three-layer broken line model represented by a broken line.
[0073] It can be understood that in the three-layer broken line model, the sound speed corresponding to the same water depth in the target sea area is the same. The three-layer broken line model can be the result of simplifying the changing relationship between the sound speed and water depth in the target sea area, which can reduce the calculation complexity and improve the calculation efficiency of the convergence area distance.
[0074] Step 120 : Construct a first arc trajectory group and a second arc trajectory group based on the three-layer broken line model, the sound source position of the target sea area, and Snell's law.
[0075] It can be understood that the sound source position is the position of the sound source device located on the sea surface of the target sea area.
[0076] It should be noted that if Figure 2 As shown, the horizontal axis v is the sound speed, and the vertical axis z is the depth from the sea surface. The sound speed profile of the three-layer broken line model is a straight line. The sound speed changes linearly with depth. The sound line is refracted according to Snell's law, resulting in the sound line trajectory curve being an arc.
[0077] In this step, based on the water depth data and corresponding sound speed at the junction of each layer of seawater in the target sea area in the three-layer broken line model, an arc trajectory that can represent the sound line propagation trajectory is constructed for each layer of seawater. Multiple arc trajectories are grouped according to continuity to obtain the first arc trajectory group and the second arc trajectory group representing the boundary of the convergence area of the target sea area.
[0078] The arc trajectories in the first arc trajectory group are continuous, and the arc trajectories in the second arc trajectory group are continuous.
[0079] Step 130 : Determine a first critical sound ray trajectory and a second critical sound ray trajectory in the deep sea convergence zone of the target sea area based on the first circular arc trajectory group and the second circular arc trajectory group.
[0080] In this step, the arc trajectories in the first arc trajectory group are synthesized into a first critical sound ray trajectory L1 , and the arc trajectories in the second arc trajectory group are synthesized into a second critical sound ray trajectory L2 .
[0081] The first critical sound ray trajectory L1 and the second critical sound ray trajectory L2 are both continuous curves.
[0082] Step 140: Determine the convergence zone distance of the target sea area according to the first critical sound ray trajectory and the second critical sound ray trajectory.
[0083] In actual implementation, one boundary of the convergence area is defined by the first critical sound ray trajectory L1, and the other boundary of the convergence area is defined by the second critical sound ray trajectory L2. The lowest point is determined on the first critical sound ray trajectory L1 and the second critical sound ray trajectory L2, and twice the distance between the horizontal coordinates of the two lowest points is used as the convergence area distance of the target sea area.
[0084] According to the method for determining the distance of the deep-sea sound propagation convergence zone provided in the embodiment of the present application, the changing relationship between the sound speed and the water depth in the target sea area is simplified through a three-layer broken line model, thereby reducing the complexity of the calculation and shortening the calculation time. Based on Snell's law, the first arc trajectory group and the second arc trajectory group obtained can accurately express the sound line propagation trajectory, while ensuring the accuracy of the convergence zone distance, and improving the calculation efficiency of the convergence zone distance of the target sea area.
[0085] Based on the characteristic of small sound propagation loss in the convergence area, the sonar detection system can use the convergence area mode to detect underwater targets in the convergence area. The improvement of the calculation efficiency of the convergence area distance can effectively improve the detection and search efficiency.
[0086] In some embodiments, obtaining the water depth data and corresponding sound speed of each layer of seawater at the boundary in the target sea area includes:
[0087] Obtain sound speed profile information of the target sea area;
[0088] Based on the sound velocity profile information, the water depth data and corresponding sound velocity of each layer of seawater at the boundary are extracted.
[0089] Among them, the sound velocity profile information is used to characterize the changes in the sound velocity in the seawater at different depths in the target sea area, which is affected by temperature, salinity and pressure.
[0090] By retrieving the sound speed profile information of the known target sea area, the distance to the deep-sea sound propagation convergence zone can be quickly calculated. Compared with the method of numerically solving the wave equation, this method has higher computational efficiency. When it is necessary to calculate the convergence zone distance of a large sea area, it can significantly shorten the calculation time, thereby improving the detection and search efficiency.
[0091] Sound velocity profile information can be obtained by detecting the water depth and sound velocity of the target sea area. The steps are as follows:
[0092] A sound velocity detector (CTD, i.e. conductivity-temperature-depth detector) or sound velocity profiler is lowered into the seawater of the target sea area. The detector is dragged or hung on a ship or buoy to detect measurement points and depth ranges at different depths in the target sea area. The sound velocity is then calculated based on the measured temperature, salinity and pressure.
[0093] The detector records depth information, water temperature, salinity and pressure at each depth point, and calculates the actual water depth through pressure. During the measurement process, the detector data is monitored in real time to ensure the continuity and accuracy of the measurement, and the data is preliminarily checked and stored.
[0094] Among them, salinity can be calculated through conductivity.
[0095] The collected data is cleaned to remove outliers and noise, and the continuity and consistency of the measurements are checked.
[0096] Calculate the sound velocity c at each depth point based on temperature, salinity, and pressure:
[0097] c=1449.2+4.6T-0.055T 2 +0.00029T 3 +(1.34-0.010T)(S-35)+0.016P
[0098] Where c is the speed of sound, T is the temperature in degrees Celsius, S is the salinity in practical salinity scale (psu), and P is the pressure in decibars.
[0099] Integrate sound velocity data with depth data to form complete sound velocity profile information, and use independent data or models to verify the profile to ensure its accuracy, and compare profile data at different measurement points or times to check their consistency.
[0100] In addition, the sound speed profile information can be graphed, with depth as the vertical axis and sound speed as the horizontal axis drawing a profile diagram to intuitively show the correlation between the water depth and sound speed of the target sea area.
[0101] By retrieving the sound speed profile information of the known target sea area, the distance to the deep-sea sound propagation convergence zone can be quickly calculated. Compared with the method of numerically solving the wave equation, this method has higher computational efficiency. When it is necessary to calculate the convergence zone distance of a large sea area, it can significantly shorten the calculation time, thereby improving the detection and search efficiency.
[0102] In actual execution, the sea surface sound speed v0 in the target sea area, the mixed layer water depth data h1 and the corresponding first sound speed v1, the water depth data h2 at the lowest point of sound speed and the corresponding second sound speed v2, the reference water depth data h3 and the corresponding third sound speed v3, and the seabed water depth data h4 and the corresponding fourth sound speed v4 are extracted from the sound speed profile information to establish a three-layer broken line model describing the change in sound speed.
[0103] In this embodiment, water depth data and corresponding sound speed are extracted through sound speed profile information, and an accurate three-layer broken line model can be constructed to improve the calculation accuracy of the convergence zone distance of the target sea area.
[0104] In some embodiments, based on the three-layer broken line model, the sound source position of the target sea area, and Snell's law, constructing the first arc trajectory group and the second arc trajectory group includes:
[0105] In the three-layer broken line model, the sea surface sound speed, mixed layer water depth data and the corresponding first sound speed, the water depth data at the lowest point of sound speed and the corresponding second sound speed, the reference water depth data and the corresponding third sound speed, and the seabed water depth data and the corresponding fourth sound speed of the target sea area are determined. The reference water depth data is the conjugate value of the mixed layer water depth data.
[0106] Based on Snell's law, when a sound ray trajectory is tangent to the straight line z=h1, the sound ray trajectory is also tangent to the straight line z=h3 of its conjugate depth.
[0107] Constructing a first arc trajectory group based on the sound source position and sea surface sound speed, mixed layer water depth data, first sound speed, water depth data at the lowest point of sound speed, second sound speed, reference water depth data and third sound speed;
[0108] A second arc trajectory group is constructed based on the sound source position and sea surface sound speed, mixed layer water depth data, first sound speed, water depth data at the lowest point of sound speed, second sound speed, seabed water depth data and fourth sound speed.
[0109] like Figure 2 As shown, the horizontal axis v is the speed of sound, and the vertical axis z is the depth from the sea surface. On the vertical axis z, the seawater in the target sea area is divided into 4 layers according to the depth. From the sea surface to h1 is the mixed layer, from h1 to h2 is the second layer, from h2 to h3 is the third layer, and from h3 to the seabed is the fourth layer. The depth of the seabed is h4.
[0110] Correspondingly, the water depth data and corresponding sound speed of each layer of seawater at the junction may include: the sound wave propagation speed of the sea surface in the target sea area is the sea surface sound speed v0, the mixed layer water depth data h1 and the corresponding first sound speed v1, the water depth data h2 at the lowest point of sound speed and the corresponding second sound speed v2, the reference water depth data h3 and the corresponding third sound speed v3, and the seabed water depth data h4 and the corresponding fourth sound speed v4, where v1=v3, h3 is the conjugate depth of h1.
[0111] In some embodiments, as Figure 3 As shown, with the sound source device as the coordinate origin, the horizontal coordinate x is the distance from the sound source device, the vertical coordinate z is the depth from the sea surface, and the first arc trajectory group includes the first arc, the second arc and the third arc;
[0112] The first arc is:
[0113]
[0114] The second arc is:
[0115]
[0116] The third arc is:
[0117]
[0118] Among them, v0 is the sea surface sound speed, h1 is the mixed layer water depth data, v1 is the first sound speed, h2 is the water depth data at the lowest sound speed point, v2 is the second sound speed, h3 is the reference water depth data, and v3 is the third sound speed.
[0119] exist Figure 3 In the figure, the three arc trajectories of the first arc C1, the second arc C2 and the third arc C3 are continuous in sequence, among which the second arc C2 is tangent to the straight line z=h1, and the third arc C3 is tangent to the straight line z=h3. The first arc C1, the second arc C2 and the third arc C3 constitute the first critical sound ray trajectory L1.
[0120] In some embodiments, as Figure 3 As shown, the second arc trajectory group includes a fourth arc, a fifth arc and a sixth arc;
[0121] The fourth arc is:
[0122]
[0123] The fifth arc is:
[0124]
[0125] The sixth arc is:
[0126]
[0127] Among them, v0 is the sea surface sound speed, h1 is the mixed layer water depth data, v1 is the first sound speed, h2 is the water depth data at the lowest point of sound speed, v2 is the second sound speed, h4 is the seabed water depth data, and v4 is the fourth sound speed.
[0128] exist Figure 3 , the fourth arc C4, the fifth arc C5 and the sixth arc C6 are continuous in sequence, the sixth arc C6 is tangent to the straight line z=h4, and the fourth arc C4, the fifth arc C5 and the sixth arc C6 constitute the second critical sound ray trajectory L2.
[0129] It can be understood that at the boundary of sound wave propagation, the continuity condition of sound requires the continuity of the pressure and displacement of the sound wave. The displacement component at the boundary should also remain continuous considering the sum of the reflected and transmitted sound waves. The first arc, the second arc, the third arc, the fourth arc, the fifth arc and the sixth arc are all obtained based on Snell's law and the continuity condition.
[0130] In some embodiments, determining the convergence zone distance of the target sea area according to the first critical sound ray trajectory and the second critical sound ray trajectory includes:
[0131] The sound rays outside the first critical sound ray trajectory and the second critical sound ray trajectory propagate in a surface acoustic channel mode or a seabed reflection mode; the sound rays between the first critical sound ray trajectory and the second critical sound ray trajectory propagate in a convergence zone mode.
[0132] determining a first abscissa of a lowest point of a first critical sound ray trajectory, and determining a second abscissa of a lowest point of a second critical sound ray trajectory;
[0133] Based on twice the deviation between the first abscissa and the second abscissa, the convergence region distance is determined.
[0134] like Figure 3 As shown, the first horizontal coordinate of the lowest point of the first critical sound ray trajectory L1 is s1, and the second horizontal coordinate of the lowest point of the second critical sound ray trajectory L2 is s2. It can be obtained that:
[0135]
[0136]
[0137] Due to symmetry, the distance and range of the convergence zone are determined by twice the horizontal coordinates of the lowest points of the first critical sound ray trajectory L1 and the second critical sound ray trajectory L2. The convergence zone distance is 2s1 to 2s2, and the convergence zone range is 2(s2-s1).
[0138] According to the sound velocity profile curve of the target sea area, the parameters read from the sound velocity profile curve are shown in the following table:
[0139] parameter <![CDATA[h1]]> <![CDATA[h2]]> <![CDATA[h3]]> <![CDATA[h4]]> <![CDATA[v0]]> <![CDATA[v1]]> <![CDATA[v2]]> <![CDATA[v3]]> <![CDATA[v4]]> value 66.33 906.5 4039.5 4319.5 1525.6 1527.0 1480.6 1527.0 1531.1
[0140] Substituting the formula into the calculation, the distance of the deep-sea convergence zone is 64.5 to 70.1 km, with a range of 5.6 km.
[0141] In this embodiment, by determining the lowest point of the first critical sound ray trajectory and the second critical sound ray trajectory, the convergence zone distance can be accurately calculated, which can improve the positioning accuracy of the target and enhance the reception and detection of signals. The three-layer broken line model established in this application and the obtained first critical sound ray trajectory and second critical sound ray trajectory not only help to understand the sound propagation characteristics of the deep-sea convergence zone, but also further obtain other characteristic parameters such as the second convergence zone distance, the third convergence zone distance and range, which helps to study the influence of the deep-sea sound speed profile on the characteristic parameters of the convergence zone, and can also be extended to other deep-sea sound propagation modes.
[0142] Among them, 2s1 to 2s2 are determined as the first convergence area distance, and the second convergence area distance and the third convergence area distance are approximately 2 times and 3 times of the first convergence area distance respectively.
[0143] The method for determining the distance of a deep-sea sound propagation convergence area provided in the embodiments of the present application may be executed by a device for determining the distance of a deep-sea sound propagation convergence area. In the embodiments of the present application, the device for determining the distance of a deep-sea sound propagation convergence area is used as an example to illustrate the method for determining the distance of a deep-sea sound propagation convergence area provided in the embodiments of the present application.
[0144] An embodiment of the present application also provides a device for determining the distance of a deep-sea sound propagation convergence zone.
[0145] like Figure 4 As shown, the apparatus for determining the distance of a deep-sea sound propagation convergence zone includes: an acquisition module 410 , a first processing module 420 , a second processing module 430 and a third processing module 440 .
[0146] The acquisition module 410 is used to obtain the water depth data and corresponding sound speed of each layer of seawater at the intersection of the target sea area, and construct a three-layer broken line model of the sound speed profile;
[0147] A first processing module 420 is configured to construct a first arc trajectory group and a second arc trajectory group based on the three-layer broken line model, the sound source position of the target sea area, and Snell's law;
[0148] The second processing module 430 is configured to determine a first critical sound ray trajectory and a second critical sound ray trajectory of the deep sea convergence zone of the target sea area based on the first circular arc trajectory group and the second circular arc trajectory group;
[0149] The third processing module 440 is configured to determine a convergence zone distance of the target sea area according to the first critical sound ray trajectory and the second critical sound ray trajectory.
[0150] According to the deep-sea sound propagation convergence zone distance determination device provided in the embodiment of the present application, the changing relationship between the sound speed and the water depth in the target sea area is simplified through a three-layer broken line model, thereby reducing the calculation complexity and shortening the calculation time. Based on Snell's law, the first arc trajectory group and the second arc trajectory group obtained can accurately express the sound line propagation trajectory, while ensuring the accuracy of the convergence zone distance, the calculation efficiency of the convergence zone distance of the target sea area is improved.
[0151] The deep-sea sound propagation convergence area distance determination device in the embodiment of the present application can be an electronic device, or a component in an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal, or a device other than a terminal. For example, the electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, a vehicle-mounted electronic device, a mobile Internet device (Mobile Internet Device, MID), an augmented reality (Augmented Reality, AR) / virtual reality (Virtual Reality, VR) device, a robot, a wearable device, an ultra-mobile personal computer (Ultra-Mobile Personal Computer, UMPC), a netbook or a personal digital assistant (Personal Digital Assistant, PDA), etc. It can also be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (Personal Computer, PC), a television (Television, TV), an ATM or a self-service machine, etc., and the embodiment of the present application does not make specific limitations.
[0152] The apparatus for determining the distance of the deep-sea sound propagation convergence zone in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.
[0153] The device for determining the distance of the deep-sea sound propagation convergence zone provided in the embodiment of the present application can achieve Figures 1 to 3 To avoid repetition, the various processes implemented in the embodiment of the method for determining the distance of the deep-sea sound propagation convergence area are not described here.
[0154] In some embodiments, as Figure 5As shown, an embodiment of the present application also provides an electronic device 500, including a processor 501, a memory 502, and a computer program stored in the memory 502 and executable on the processor 501. When the program is executed by the processor 501, the various processes of the above-mentioned embodiment of the method for determining the distance of the deep-sea sound propagation convergence area are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.
[0155] It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.
[0156] An embodiment of the present application also provides a non-transitory computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the various processes of the above-mentioned deep-sea sound propagation convergence zone distance determination method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.
[0157] The processor is the processor in the electronic device in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
[0158] An embodiment of the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the above-mentioned method for determining the distance of the deep-sea sound propagation convergence area.
[0159] The processor is the processor in the electronic device in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk.
[0160] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, which are coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-mentioned deep-sea sound propagation convergence area distance determination method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.
[0161] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.
[0162] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be noted that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.
[0163] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the method for determining the distance of the deep-sea sound propagation convergence area of each embodiment of the present application.
[0164] In the description of this application, "first feature" and "second feature" may include one or more such features.
[0165] In the description of this application, “plurality” means two or more.
[0166] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms without departing from the purpose of this application and the scope of protection of the claims, all of which are within the protection of this application.
[0167] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
[0168] Although the embodiments of the present application have been shown and described, those skilled in the art will appreciate that various changes, modifications, substitutions, and variations may be made to the embodiments without departing from the principles and intent of the present application, and that the scope of the present application is defined by the claims and their equivalents.
Claims
1. A method for determining the distance of a deep-sea sound propagation convergence zone, characterized in that: include: Obtain the water depth data and corresponding sound speed at the boundary of each layer of seawater in the target sea area, and construct a three-layer broken line model of the sound speed profile; Constructing a first circular arc trajectory group and a second circular arc trajectory group based on the three-layer broken line model, the sound source position of the target sea area and Snell's law; Determining a first critical sound ray trajectory and a second critical sound ray trajectory in a deep-sea convergence zone of the target sea area based on the first circular arc trajectory group and the second circular arc trajectory group; The convergence zone distance of the target sea area is determined according to the first critical sound ray trajectory and the second critical sound ray trajectory.
2. The method for determining the distance of the deep-sea sound propagation convergence zone according to claim 1, characterized in that: The constructing of the first arc trajectory group and the second arc trajectory group based on the three-layer broken line model, the sound source position of the target sea area and Snell's law includes: Determine the sea surface sound speed, mixed layer water depth data and the corresponding first sound speed, the water depth data at the lowest point of sound speed and the corresponding second sound speed, the reference water depth data and the corresponding third sound speed, and the seabed water depth data and the corresponding fourth sound speed of the target sea area in the three-layer broken line model, wherein the reference water depth data is the conjugate value of the mixed layer water depth data; constructing the first circular arc trajectory group based on the sound source position and the sea surface sound speed, the mixed layer water depth data, the first sound speed, the water depth data of the lowest sound speed point, the second sound speed, the reference water depth data and the third sound speed; The second circular arc trajectory group is constructed based on the sound source position and the sea surface sound speed, the mixed layer water depth data, the first sound speed, the water depth data of the lowest sound speed point, the second sound speed, the seabed water depth data and the fourth sound speed.
3. The method for determining the distance of the deep-sea sound propagation convergence zone according to claim 2, characterized in that: The first circular arc trajectory group includes a first circular arc, a second circular arc and a third circular arc; The first arc is: The second arc is: The third arc is: Among them, v0 is the sea surface sound speed, h1 is the mixed layer water depth data, v1 is the first sound speed, h2 is the water depth data at the lowest point of sound speed, v2 is the second sound speed, h3 is the reference water depth data, and v3 is the third sound speed.
4. The method for determining the distance of the deep-sea sound propagation convergence zone according to claim 2, characterized in that: The second circular arc trajectory group includes a fourth circular arc, a fifth circular arc and a sixth circular arc; The fourth arc is: The fifth arc is: The sixth arc is: Among them, v0 is the sea surface sound speed, h1 is the mixed layer water depth data, v1 is the first sound speed, h2 is the water depth data at the lowest point of sound speed, v2 is the second sound speed, h4 is the seabed water depth data, and v4 is the fourth sound speed.
5. The method for determining the distance of the deep-sea sound propagation convergence zone according to claim 1, characterized in that: The determining the convergence zone distance of the target sea area according to the first critical sound ray trajectory and the second critical sound ray trajectory includes: determining a first horizontal coordinate of the lowest point of the first critical sound ray trajectory, and determining a second horizontal coordinate of the lowest point of the second critical sound ray trajectory; The convergence area distance is determined based on twice the deviation between the first abscissa and the second abscissa.
6. The method for determining the distance of the deep-sea sound propagation convergence zone according to claim 1, characterized in that: The obtaining of the water depth data and the corresponding sound speed of each layer of seawater at the boundary in the target sea area includes: Acquiring sound velocity profile information of the target sea area; Based on the sound velocity profile information, the water depth data and the corresponding sound velocity of each layer of seawater at the boundary are extracted.
7. A device for determining the distance of a deep-sea sound propagation convergence zone, characterized in that: include: The acquisition module is used to obtain the water depth data and corresponding sound speed of each layer of seawater at the junction of the target sea area, and construct a three-layer broken line model of the sound speed profile; A first processing module is configured to construct a first arc trajectory group and a second arc trajectory group based on the three-layer broken line model, the sound source position of the target sea area, and Snell's law; a second processing module, configured to determine a first critical sound ray trajectory and a second critical sound ray trajectory in the deep sea convergence zone of the target sea area based on the first circular arc trajectory group and the second circular arc trajectory group; The third processing module is configured to determine a convergence zone distance of the target sea area according to the first critical sound ray trajectory and the second critical sound ray trajectory.
8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for determining the distance of the deep-sea sound propagation convergence area as described in any one of claims 1 to 6 is implemented.
9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining the distance of the deep-sea sound propagation convergence zone as described in any one of claims 1 to 6 is implemented.
10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for determining the distance of the deep-sea sound propagation convergence zone as described in any one of claims 1 to 6 is implemented.
Citation Information
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