Ship electromagnetic environment prediction method and device based on empirical model, equipment and medium

Abstract

The invention provides a ship electromagnetic environment prediction method and device based on an empirical model, equipment and a medium, and the method comprises the steps: firstly, carrying out the translation of a space field point in a global rectangular coordinate system according to the geometric position of an original point, and constructing a local rectangular coordinate system; then, based on the local rectangular coordinate system, antenna attitude conversion is carried out on the space field points, and array polar coordinates are generated; then, according to the polar coordinates of the array, a discrimination field domain is constructed by discriminating the relative distance between the space field point and the array antenna; and finally, based on the discrimination field domain, performing gain on a preset field point through a three-dimensional gain graph, and performing field intensity calculation on the preset field point to complete prediction of the electromagnetic environment of the preset field point. According to the embodiment of the invention, the prediction of the electromagnetic environment is realized, the calculation efficiency and precision are improved, and the engineering practice requirements are met.

Description

Technical Field

[0001] The present invention belongs to the technical field of electromagnetic compatibility simulation and prediction, and in particular, to a method and device, equipment and medium for predicting the ship electromagnetic environment based on an empirical model. Background Art

[0002] During the ship design process, the electromagnetic compatibility issue has always been a complex and challenging topic. The radio frequency devices used on ships have a wide range of frequency bands, from short waves to millimeter waves, and the transmission power is as high as megawatts, with high receiving sensitivity. These devices are numerous and widely distributed, and the superstructure of the ship is complex, resulting in a very complex electromagnetic environment on the ship. In addition, during the ship design process, the layout of various devices often changes continuously with the deepening of the design, which makes the calculation and simulation of electromagnetic compatibility cumbersome and computationally intensive. To ensure that the ship has good electromagnetic compatibility during use, designers need to frequently evaluate the electromagnetic interference and anti-interference performance under different working conditions. This dynamic adjustment and the large amount of calculation increase the difficulty of the design and also raise the design cycle and cost.

[0003] The prior art usually adopts means such as simulation modeling, parametric design, multi-scale modeling, automated optimization, and standardized processes to effectively cope with the complexity in the ship electromagnetic compatibility design. The combination of these technologies can not only effectively reduce the amount of calculation required when frequently adjusting the layout plan, but also improve the design accuracy and reliability to a certain extent. However, despite the significant progress made by the prior art, there are still several problems. First, the calculation cost is still relatively high, especially when dealing with large-scale systems, the amount of calculation for simulation and optimization is huge. Second, the accuracy of the model and the simulation results may be limited to a certain extent, and it is difficult to fully cover the complex scenarios in actual applications.

[0004] Therefore, one or more methods are needed to solve the above problems.

[0005] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present disclosure, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0006] Embodiments of the present invention provide a method and device, equipment and medium for predicting the ship electromagnetic environment based on an empirical model, thereby at least to some extent overcoming one or more problems caused by the limitations and defects of the related art.

[0007] According to one aspect of the present disclosure, there is provided a method for predicting the ship electromagnetic environment based on an empirical model, including:

[0008] According to the geometric position of the origin, a local rectangular coordinate system is constructed by translating the spatial field points in the global rectangular coordinate system;

[0009] Based on the local rectangular coordinate system, array polar coordinates are generated by converting the antenna attitude of the spatial field points;

[0010] According to the array polar coordinates, a discrimination field domain is constructed by discriminating the relative distance between the spatial field points and the array antenna;

[0011] Based on the discrimination field domain, the preset field points are gain-adjusted by a three-dimensional gain map, and the field strength of the preset field points is calculated to complete the prediction of the electromagnetic environment of the preset field points.

[0012] In an exemplary embodiment of the present disclosure, translating the spatial field points in the global rectangular coordinate system includes:

[0013] Based on the center of the hull, a global rectangular coordinate system of the spatial field points relative to the hull is established;

[0014] Based on the array antenna, an array rectangular coordinate system of the spatial field points relative to the antenna is established;

[0015] Based on the position of the array antenna on the ship, the angle between the array antenna in the global rectangular coordinate system is calculated to generate an antenna angle;

[0016] Based on the antenna angle, the coordinates of the spatial field points in the global rectangular coordinate system are translated according to the geometric position of the origin of the array rectangular coordinate system in the global rectangular coordinate system to construct a local rectangular coordinate system.

[0017] In an exemplary embodiment of the present disclosure, converting the antenna attitude of the spatial field points includes:

[0018] According to the geometric relationship, classification information is generated by classifying the coordinate positions of the spatial field points in the local rectangular coordinate system;

[0019] Based on the classification information, array polar coordinates are generated by converting the antenna attitude of the spatial field points.

[0020] In an exemplary embodiment of the present disclosure, converting the antenna attitude of the spatial field points further includes:

[0021] Based on the conversion relationship between the antenna and the polar coordinates, an antenna attitude influence conversion value is generated by obtaining the relative array polar coordinates of the spatial field points in the antenna attitude;

[0022] Based on the position of the field space, a spatial position influence conversion value is generated by adjusting the antenna attitude influence conversion value.

[0023] In an exemplary embodiment of the present disclosure, the discrimination of the relative distance between the spatial field point and the array antenna includes:

[0024] Based on the array polar coordinates, the relative distance between the spatial field point and the array antenna is discriminated, and discrimination field domains are respectively constructed according to the discrimination results to generate a near-field region and a far-field region.

[0025] In an exemplary embodiment of the present disclosure, the gain of a preset field point is performed through a three-dimensional gain map, and the field strength of the preset field point is calculated, including:

[0026] When the preset field point is in the near-field region, based on the preset gain data, the corresponding gain data of the preset field point is given by interpolation;

[0027] When the preset field point is in the far-field region, the three-dimensional gain map is searched. If there is a three-dimensional gain map file corresponding to the predicted field point, the preset gain data is given;

[0028] If there is no three-dimensional gain map file corresponding to the predicted field point, the three-dimensional gain map file is interpolated by using the polynomial interpolation method to obtain the corresponding gain data of the preset field point.

[0029] In an exemplary embodiment of the present disclosure, the gain of a preset field point is performed through a three-dimensional gain map, and the field strength of the preset field point is calculated, including:

[0030] Based on the gain data obtained from the preset field point, through the empirical field strength calculation formula the field strength of the predicted field point is calculated to complete the prediction of the electromagnetic environment;

[0031] where G represents the gain of the antenna at the prediction point, P t represents the total power emitted by the antenna, and R is the distance from the array antenna to a certain field point to be predicted.

[0032] In one aspect of the present disclosure, a ship electromagnetic environment prediction device based on an empirical model is provided, including:

[0033] A coordinate system construction module, configured to construct a local rectangular coordinate system by translating the spatial field points in the global rectangular coordinate system according to the origin geometric position;

[0034] A polar coordinate conversion module, configured to generate array polar coordinates by converting the antenna attitude of the spatial field points according to the local rectangular coordinate system;

[0035] A field discrimination module, configured to construct a discrimination field by discriminating the relative distance between the spatial field point and the array antenna according to the array polar coordinates.

[0036] A field strength calculation module, configured to perform gain on a preset field point through a three-dimensional gain map according to the discrimination field, and calculate the field strength of the preset field point, so as to complete the prediction of the electromagnetic environment of the preset field point.

[0037] In one aspect of the present disclosure, there is provided an electronic device, including:

[0038] A processor; and

[0039] A memory, on which computer-readable instructions are stored, and when the computer-readable instructions are executed by the processor, the method according to any one of the above is implemented.

[0040] In one aspect of the present disclosure, there is provided a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method according to any one of the above is implemented.

[0041] The beneficial effects brought by the present invention are as follows:

[0042] As can be seen from the above solution, the embodiment of the present invention provides a method for predicting the electromagnetic environment of a ship based on an empirical model. First, according to the origin geometric position, a local rectangular coordinate system is constructed by translating the spatial field points in the global rectangular coordinate system. Then, based on the local rectangular coordinate system, the array polar coordinates are generated by converting the antenna attitude of the spatial field points. Then, according to the array polar coordinates, a discrimination field is constructed by discriminating the relative distance between the spatial field point and the array antenna. Finally, based on this discrimination field, gain is performed on the preset field point through a three-dimensional gain map, and the field strength of the preset field point is calculated, so as to complete the prediction of the electromagnetic environment of the preset field point. Thus, the embodiment of the present disclosure provides a method for quickly interpolating and predicting the electromagnetic field strength at any azimuth angle and elevation angle by using the electromagnetic field strength simulation data at different azimuth angles and elevation angles through an empirical formula, realizing the prediction of the electromagnetic environment, improving the calculation efficiency and accuracy, and meeting the requirements of engineering practice.

[0043] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure.

[0044] The technical solutions of the present disclosure will be further described in detail below with reference to the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flowchart of a method for predicting the electromagnetic environment of a ship based on an empirical model according to an embodiment of the method of the present disclosure;

[0046] Figure 2 Construction diagram of the global rectangular coordinate system for a ship electromagnetic environment prediction method based on an empirical model according to an embodiment of the present disclosure method;

[0047] Figure 3 Construction diagram of the local rectangular coordinate system for a ship electromagnetic environment prediction method based on an empirical model according to an embodiment of the present disclosure method;

[0048] Figure 4 Spatial representation diagram of the array polar coordinate system for a ship electromagnetic environment prediction method based on an empirical model according to an embodiment of the present disclosure method;

[0049] Figure 5 Polar coordinate angle conversion relationship diagram for a ship electromagnetic environment prediction method based on an empirical model according to an embodiment of the present disclosure method;

[0050] Figure 6 Far - near field gain distribution diagram for a ship electromagnetic environment prediction method based on an empirical model according to an embodiment of the present disclosure method;

[0051] Figure 7 Structural block diagram of a ship electromagnetic environment prediction device based on an empirical model according to an embodiment of the present disclosure method;

[0052] Figure 8 Block diagram of an electronic device according to an embodiment of the present disclosure method. Detailed implementation manners

[0053] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0054] In the embodiments of the present disclosure, first, a ship electromagnetic environment prediction method based on an empirical model is provided; as shown in Figure 1 , this ship electromagnetic environment prediction method based on an empirical model may include the following steps:

[0055] Step S110: Construct a local rectangular coordinate system by translating the spatial field points in the global rectangular coordinate system according to the geometric position of the origin;

[0056] Step S120: Generate an array polar coordinate by converting the antenna attitude of the spatial field points based on the local rectangular coordinate system;

[0057] Step S130: Based on the array polar coordinates, construct a discrimination field domain by discriminating the relative distance between the spatial field point and the array antenna.

[0058] Step S140: Based on the discrimination field domain, perform gain on the preset field point through a three-dimensional gain map and calculate the field strength of the preset field point to complete the prediction of the electromagnetic environment of the preset field point.

[0059] Next, as Figure 2 shown below, a method for predicting the electromagnetic environment of a ship based on an empirical model in an embodiment of the present disclosure will be further described.

[0060] In step S110, a local rectangular coordinate system can be constructed by translating the spatial field points in the global rectangular coordinate system according to the origin geometric position.

[0061] In some alternative embodiments of this example, as Figures 2 - 3 shown, first, establish a global rectangular coordinate system (X, Y, Z) of the spatial field points relative to the hull with the center of the hull as the origin. And establish an array rectangular coordinate system (x, y, z) of the spatial field points relative to the array antenna with the center of the array antenna as the origin.

[0062] Among them, the antenna is arranged on the plane of a quadrangular frustum as Figure 2 shown.

[0063] Thus, through measurement and calculation, it can be known that in the coordinates of the global rectangular coordinate system, the angle between the plane where the antenna is located and the XOZ plane is the cone angle a; the angle between the plane where the antenna is located and the YOZ plane is the rotation angle b. And it can be assumed that the angle between the line connecting the point in the field space and the origin of the array coordinates and the conical surface of the quadrangular frustum (i.e., the plane where the antenna is located) is c.

[0064] After that, translate the points in the field space of the global rectangular coordinate system to the array rectangular coordinate system according to the geometric position of the origin of the array rectangular coordinate system in the global rectangular coordinate system to construct a local rectangular coordinate system. After translation, the coordinates in the local rectangular coordinate system are x b = X - X b , y b = Y - Y b , z b = Z - Z b . Among them, X b , Y b , Z b are the coordinate values of the origin of the array coordinate system in the global coordinate system.

[0065] Let dis xz be the projection distance of the line connecting the origin of the array coordinate system and the given point on the XOZ plane,

[0066] Specifically, according to the different positions of the origin of the array rectangular coordinate system, the following situations need to be considered:

[0067] (1) When X b = 0, the calculation result of its local rectangular coordinate system is:

[0068]

[0069] (2) When Z b = 0, the calculation result of its local rectangular coordinate system is:

[0070]

[0071] (3) When X b ≠ 0 and -b < c < 0, the calculation result of its local rectangular coordinate system is:

[0072]

[0073] (4) When X b ≠ 0 and -b > c, the calculation result of its local rectangular coordinate system is:

[0074]

[0075] (5) When X b > 0 and c > 0, the calculation result of its local rectangular coordinate system is:

[0076]

[0077] (6) When X d < 0 and c > 0, the calculation result of its local rectangular coordinate system is:

[0078]

[0079] In step S120, based on the local rectangular coordinate system, the antenna attitude of the spatial field points can be converted to generate array polar coordinates.

[0080] In some alternative embodiments of this example, as Figures 4 - 5 shown, since the polar coordinate system can better reflect the true distribution of the electromagnetic environment, the local rectangular coordinates of each field point in space are converted into array polar coordinates according to the geometric relationship, that is, converting (x b , y b , z b ) into

[0081] Specifically, according to the position of the local rectangular coordinates, and the converted θ, The value range limit needs to be considered in the following cases:

[0082] When x d ≠0, z d ≠0 and θ, when the value range is not limited, the calculation result is:

[0083]

[0084] When θ ∈ (0, 180), and a certain point in the field space is in a special position (such as on the coordinate axis), it is further divided into the following categories for discussion:

[0085] (1) When x b = 0 and y b > 0, then

[0086] (2) When x b = 0 and y b < 0, then

[0087] (3) When x b = 0 and y b = 0, then

[0088] (4) When x b < 0, then

[0089] (5) When x b > 0 and y b < 0, then

[0090] (6) When x b > 0 and y b ≥ 0, then

[0091] (7) When z b = 0, then θ = 90;

[0092] (8) When z b > 0, then

[0093] (9) When z b < 0, then

[0094] At the same time, in some alternative embodiments of this example, to obtain the relative array polar coordinates of each spatial field point under different antenna postures, in addition to considering the antenna position, the antenna posture (represented by azimuth and elevation angles) also needs to be considered. In the array polar coordinate system, the conversion relationship between the antenna azimuth and elevation angles and the polar coordinates is asFigure 4 As shown, the azimuth angle is equivalent to rotation in the plane; the elevation angle is equivalent to Figure 4 α in

[0095] Specifically, assume that the azimuth angle of a set of antenna postures is M and the elevation angle is N. Then, when converting (x b , y b , z b ) to , using θnew, to represent the conversion value considering the influence of antenna postures, the conversion formula for θnew, is:

[0096]

[0097]

[0098] In the formula, θ, represents the conversion value without considering the influence of antenna postures.

[0099] Similarly, it is also necessary to adjust the conversion value of the antenna posture influence according to different positions in the field space. The specific adjustment results are as follows:

[0100] (1) When α 1 < 90, α 1 = -180 - α 1 ; when α 1 > 90, α 1 = 180 - α 1 ;

[0101] (2) When β 1 < 90, β 1 = -180 - β 1 ; when β 1 > 90, β 1 = 180 - β 1 ;

[0102] (3) When α 1 = 0 and y b ≥ 0, θ new = |θ - M| (M ≥ 0) or θ new = θ - M (M < 0);

[0103] (4) When α 1 = 0 and β b < 0, θ new = θ + M (M ≥ 0) or θ new = |θ + M (M < 0).

[0104] In step S130, a discrimination field can be constructed by discriminating the relative distance between the spatial field point and the array antenna according to the array polar coordinates.

[0105] In some alternative embodiments of this example, as Figure 6 shown, based on the array polar coordinates by discriminating the relative distance R between the spatial field point and the array antenna, and constructing a discrimination field respectively according to the discrimination result, a near-field region and a far-field region are generated.

[0106] Among them, 4 ≤ R < 15 is defined as the near-field region, and R ≥ 15 is defined as the far-field region.

[0107] In step S140, based on the discrimination field, the preset field point can be gain-adjusted through a three-dimensional gain map, and the field strength of the preset field point can be calculated to complete the prediction of the electromagnetic environment of the preset field point.

[0108] Since it can be mathematically proven that the maximum gain coefficient of an antenna is equal to the product of the antenna directivity coefficient and the antenna efficiency. Therefore, in some alternative embodiments of this example, the field strength of the spatial field point can be directly calculated using the antenna gain map.

[0109] When the preset field point is in the near-field region, its gain curve is relatively smooth, and generally there will be no sudden change in the gain value. The three-dimensional gain map changes little, and the corresponding gain data of the new preset field point can be directly interpolated based on the given gain data. And the given corresponding gain data is the field strength simulation data of a certain spatial field point at different azimuth angles and elevation angles, in the form.

[0110] When the preset field point is in the far-field region, the gain values corresponding to the main lobe and the secondary lobe generally differ greatly, and the data interval for interpolation should be small, and it needs to be discussed in different cases.

[0111] Find the gain of the point to be predicted after coordinate transformation in the original or interpolated three-dimensional gain map. If it exists, the gain of the point to be predicted is obtained. If there is no corresponding gain, the polynomial interpolation method is used to interpolate and expand the three-dimensional gain map file, so as to obtain the gain of the point to be predicted.

[0112] In a specific example, based on the principle that "for two points with the same array coordinates, regardless of how the azimuth angle and elevation angle of the antenna change, their gains are the same". The gain pairing in a certain direction in the far-field region is divided into two cases:

[0113] (1) When there is a three-dimensional gain map file corresponding to the predicted field point, the gain data is in the Formal representation. The spatial field points to be predicted expressed in global rectangular coordinates (X, Y, Z) are converted into polar coordinates through the above steps. After that, search and compare in the three-dimensional gain map. Matched Thus, the gain of the spatial field point to be predicted is obtained as G. b .

[0114] (2) When there is no three-dimensional gain map file corresponding to the predicted field point, it is necessary to interpolate and generate the three-dimensional gain map file corresponding to the predicted field point. The interpolation region is the gain region, which is obtained by calculating the gains in the corresponding directions in the gain map files on the left and right sides of the three-dimensional gain map file.

[0115] For example, if there is no gain file between the two three-dimensional gain map files of R = 4m and R = 7m, the gain map file of R = 5m can be obtained by interpolating in the same direction in the two three-dimensional gain map files of R = 4m and R = 7m. The interpolation formula is as follows:

[0116]

[0117] In the formula, R i represents the distance of the spatial field point to be interpolated from the array surface (such as 5m). R l , R h respectively represent the two known spatial field points on the left and right. The one closer to the 0 point is R l , and the one farther from the 0 point is R h (such as R l = 4m and R h = 7m). G h , G l respectively represent the gains of the two known spatial field points on the left and right.

[0118] Since the known three-dimensional gain map file is represented in the form, then the interpolated gain will also be represented in the form.

[0119] Finally, use the empirical field strength calculation formula to calculate the field strength of the predicted field point. The empirical field strength calculation formula is as follows:

[0120]

[0121] In the formula, G represents the gain of the antenna at the predicted point, P t represents the total power emitted by the antenna, and R is the distance from the array antenna to a certain predicted field point.

[0122] It should be noted that the gain in the three-dimensional gain map file needs to be converted between dBi and dB, that is, dBi = 10lgdB.

[0123] It should be noted that although the steps of the method in the present disclosure are described in a specific order in the accompanying drawings, this does not require or imply that these steps must be performed in that specific order, or that all the steps shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step for execution, and / or one step may be decomposed into multiple steps for execution, etc.

[0124] In addition, in the present exemplary embodiment, a ship electromagnetic environment prediction device based on an empirical model is also provided. Referring to Figure 7 as shown, the ship electromagnetic environment prediction device 300 based on an empirical model may include: a coordinate system construction module 310, a polar coordinate conversion module 320, a field region discrimination module 330, and a field strength calculation module 340. Among them:

[0125] The coordinate system construction module 310 is configured to construct a local rectangular coordinate system by translating the spatial field points in the global rectangular coordinate system according to the geometric position of the origin.

[0126] The polar coordinate conversion module 320 is configured to generate array polar coordinates by converting the antenna attitude of the spatial field points according to the local rectangular coordinate system.

[0127] The field region discrimination module 330 is configured to construct a discrimination field region by discriminating the relative distance between the spatial field points and the array antenna according to the array polar coordinates.

[0128] The field strength calculation module 340 is configured to perform gain on the preset field points through a three-dimensional gain map according to the discrimination field region, and perform field strength calculation on the preset field points to complete the prediction of the electromagnetic environment of the preset field points.

[0129] The ship electromagnetic environment prediction device based on an empirical model in the embodiment of the present disclosure corresponds to the embodiment of the ship electromagnetic environment prediction method based on an empirical model in the present disclosure above, and the relevant content can be referred to each other, and will not be elaborated here. The corresponding beneficial technical effects of the ship electromagnetic environment prediction device based on an empirical model in the embodiment of the present disclosure can be seen in the corresponding beneficial technical effects of the above corresponding exemplary method part, and will not be elaborated here.

[0130] It should be noted that although several modules or units of the ship electromagnetic environment prediction device 300 based on an empirical model are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of the two or more modules or units described above may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above may be further divided into multiple modules or units for embodiment.

[0131] Next, with reference to Figure 8 the electronic device according to an embodiment of the present disclosure will be described. The electronic device may be any one or both of the first device and the second device, or a stand-alone device independent of them, and the stand-alone device may communicate with the first device and the second device to receive the input signals collected therefrom.

[0132] Figure 8 The block diagram of the electronic device according to an embodiment of the present disclosure is illustrated.

[0133] As Figure 8 shown, the electronic device includes one or more processors and a memory.

[0134] The processor may be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0135] The memory may store one or more computer program products. The memory may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program products may be stored on the computer-readable storage media, and the processor may run the computer program products to implement the methods of the various embodiments of the present disclosure described above and / or other desired functions.

[0136] In one example, the electronic device may further include: an input device and an output device, and these components are interconnected through a bus system and / or other forms of connection mechanisms (not shown).

[0137] In addition, the input device may further include, for example, a keyboard, a mouse, etc.

[0138] The output device may output various information to the outside, including the determined distance information, direction information, etc. The output device may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0139] Of course, for simplicity, Figure 8 only some of the components related to the present disclosure in the electronic device are shown in , and components such as buses, input / output interfaces, etc. are omitted. In addition, according to specific application scenarios, the electronic device may further include any other appropriate components.

[0140] In addition to the above methods and devices, embodiments of the present disclosure may also be computer program products, which include computer program instructions that, when run by a processor, cause the processor to execute the steps in the methods according to various embodiments of the present disclosure described in the foregoing part of this specification.

[0141] The computer program product may be written in any combination of one or more programming languages for programming code to perform the operations of the embodiments of the present disclosure. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The programming code may be executed entirely on the user's computing device, partially on the user's device, executed as a stand-alone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0142] In addition, embodiments of the present disclosure may also be computer-readable storage media, on which computer program instructions are stored, and the computer program instructions, when run by a processor, cause the processor to execute the steps in the methods according to various embodiments of the present disclosure described in the foregoing part of this specification.

[0143] The computer-readable storage media may adopt any combination of one or more readable media. The readable media may be a readable signal medium or a readable storage medium. The readable storage medium may, for example, include but is not limited to an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0144] The above are the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art in the technical field, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A ship electromagnetic environment prediction method based on an empirical model, characterized in that: include: According to the geometric position of the origin, a local rectangular coordinate system is constructed by translating the spatial field points in the global rectangular coordinate system; Based on the local rectangular coordinate system, generating array polar coordinates by converting the antenna posture of the spatial field point; According to the array polar coordinates, a determination field is constructed by determining the relative distance between the spatial field point and the array antenna; Based on the discrimination field, the preset field point is gained through a three-dimensional gain map, and the field strength of the preset field point is calculated to complete the prediction of the electromagnetic environment of the preset field point.

2. The method according to claim 1, characterized in that By translating the spatial field points in the global rectangular coordinate system, including: Based on the center of the hull, a global rectangular coordinate system of the spatial field points relative to the hull is established; Based on the array antenna, establishing an array rectangular coordinate system of the spatial field point relative to the antenna; Based on the position of the array antenna in the ship, calculating the angle of the array antenna in the global rectangular coordinate system to generate the antenna angle; Based on the antenna angle, the coordinates of the spatial field points in the global rectangular coordinate system are translated according to the geometric position of the origin of the array rectangular coordinate system in the global rectangular coordinate system to construct a local rectangular coordinate system.

3. The method according to claim 1, characterized in that By converting the antenna attitude of the space field point, including: Generate classification information by classifying the coordinate positions of the spatial field points in the local rectangular coordinate system according to the geometric relationship; Based on the classification information, array polar coordinates are generated by converting the antenna posture of the spatial field point.

4. The method according to claim 3, characterized in that By converting the antenna posture of the space field point, the method further includes: Based on the conversion relationship between the antenna and the polar coordinates, the relative array polar coordinates of the spatial field point under the antenna attitude are acquired to generate the antenna attitude impact conversion value; Based on the position of the field space, the spatial position impact conversion value is generated by adjusting the antenna attitude impact conversion value.

5. The method according to claim 1, characterized in that By determining the relative distance between the spatial field point and the array antenna, the method includes: Based on the array polar coordinates, the relative distance between the space field point and the array antenna is judged, and a judgment field is constructed according to the judgment result to generate a near field area and a far field area.

6. The method according to claim 1, characterized in that Gaining a preset field point through a three-dimensional gain map and calculating the field strength of the preset field point includes: When the preset field point is in the near field area, based on the preset gain data, the corresponding gain data of the preset field point is given by interpolation; When the preset field point is in the far field area, searching for a three-dimensional gain map, and if there is a three-dimensional gain map file corresponding to the predicted field point, giving the preset gain data; If there is no three-dimensional gain map file corresponding to the predicted field point, the three-dimensional gain map file is interpolated using a polynomial interpolation method to obtain corresponding gain data of the preset field point.

7. The method according to claim 6, characterized in that Gaining a preset field point through a three-dimensional gain map and calculating the field strength of the preset field point includes: Based on the gain data obtained at the preset field point, the empirical field strength calculation formula Calculating the field strength of the predicted field point to complete the prediction of the electromagnetic environment; Where G represents the gain of the antenna at the prediction point, P t It represents the total power transmitted by the antenna, and R is the distance from the array antenna to a certain point to be predicted.

8. A ship electromagnetic environment prediction device based on an empirical model, characterized in that: include: A coordinate system construction module is used to construct a local rectangular coordinate system by translating the spatial field points in the global rectangular coordinate system according to the geometric position of the origin; A polar coordinate conversion module, used for generating array polar coordinates by converting the antenna posture of the spatial field point according to the local rectangular coordinate system; A field discrimination module, used for constructing a discrimination field by discriminating the relative distance between the spatial field point and the array antenna according to the array polar coordinates; The field strength calculation module is used to gain the preset field point through a three-dimensional gain map according to the discrimination field, and to calculate the field strength of the preset field point to complete the prediction of the electromagnetic environment of the preset field point.

9. An electronic device, characterized in that: include: A memory for storing a computer program product; A processor is used to execute the computer program product stored in the memory, and when the computer program product is executed, it implements the method described in any one of claims 1 to 7.

10. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method described in any one of claims 1 to 7 is implemented.

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