Antenna array arrangement strategy determination method and device, equipment, storage medium and program product

Abstract

The invention relates to an antenna array arrangement strategy determination method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring a hand hole parameter corresponding to a hand hole of target equipment, and acquiring a corresponding waveguide parameter according to the hand hole parameter; obtaining a cylindrical waveguide eigenvalue for the target waveguide mode according to the waveguide parameter, and obtaining a reference azimuth angle of the antenna array according to the cylindrical waveguide eigenvalue; obtaining an adjustment parameter of the reference azimuth angle, and adjusting the reference azimuth angle according to the adjustment parameter until the antenna array after the reference azimuth angle is adjusted meets a preset electromagnetic field distribution condition, thereby obtaining a target azimuth angle; and generating an arrangement strategy of the antenna array according to the target azimuth angle. By adopting the method, the field distribution uniformity of the antenna array can be improved.

Description

Technical Field

[0001] This application relates to the field of power equipment condition monitoring technology, and in particular to a method, apparatus, equipment, storage medium, and program product for determining antenna array layout strategy. Background Technology

[0002] With the development of urban power grid construction, the number of substations is constantly increasing, as are high-voltage power equipment such as GIS (Gas Insulated Switchgear), transformers, and switchgear. When a defect occurs within high-voltage power equipment, equipment failure is highly likely. To monitor these failures, UHF (Ultra High Frequency) sensors are used to detect whether high-voltage power equipment is malfunctioning.

[0003] However, when calibrating UHF sensors within a GIS handhole, it is necessary to reconstruct an electromagnetic field equivalent to the actual discharge within a limited space. Traditional ring-shaped, equally spaced arrays in a circular metal waveguide excite multiple degenerate modes, leading to drastic fluctuations in the field strength distribution and pattern distortion on the observation circumference, resulting in low calibration accuracy. Although some studies have attempted to improve this by using random or logarithmically periodic arrangements, the problem of uneven field distribution remains, thus affecting the reliability of sensor calibration. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for determining antenna array layout strategies that can improve the uniformity of antenna array field distribution, in order to address the above-mentioned technical problems.

[0005] In a first aspect, this application provides a method for determining an antenna array arrangement strategy, including:

[0006] Obtain the handhole parameters corresponding to the handhole of the target device, and obtain the corresponding waveguide parameters based on the handhole parameters;

[0007] Based on the waveguide parameters, obtain the cylindrical waveguide eigenvalues ​​for the target waveguide mode, and based on the cylindrical waveguide eigenvalues, obtain the reference azimuth angle of the antenna array;

[0008] Obtain the adjustment parameters of the reference azimuth angle, and adjust the reference azimuth angle according to the adjustment parameters until the antenna array after adjusting the reference azimuth angle meets the preset electromagnetic field distribution conditions, and obtain the target azimuth angle;

[0009] Based on the target azimuth, generate an antenna array layout strategy.

[0010] Secondly, this application also provides an antenna array arrangement strategy determination apparatus, comprising:

[0011] The parameter acquisition module is used to acquire the handhole parameters corresponding to the handhole of the target device, and to acquire the corresponding waveguide parameters based on the handhole parameters;

[0012] The reference azimuth angle acquisition module is used to obtain the cylindrical waveguide eigenvalues ​​for the target waveguide mode based on the waveguide parameters, and to obtain the reference azimuth angle of the antenna array based on the cylindrical waveguide eigenvalues.

[0013] The target azimuth angle acquisition module is used to acquire the adjustment parameters of the reference azimuth angle, and adjust the reference azimuth angle according to the adjustment parameters until the antenna array after adjusting the reference azimuth angle meets the preset electromagnetic field distribution conditions, thereby obtaining the target azimuth angle;

[0014] The deployment strategy determination module is used to generate an antenna array deployment strategy based on the target azimuth angle.

[0015] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in any of the above-described embodiments of the antenna array arrangement strategy determination method.

[0016] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps in any of the above-described embodiments of the antenna array arrangement strategy determination method.

[0017] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps in any of the above-described embodiments of the antenna array arrangement strategy determination method.

[0018] The aforementioned antenna array arrangement strategy determination method, apparatus, computer equipment, computer-readable storage medium, and computer program product differ from the antenna array arrangement method using a ring-shaped, equally spaced distribution in related technologies. First, by acquiring the handhole parameters and waveguide parameters corresponding to the handhole of the target device, and considering the circular metal cavity characteristics of the handhole of the target GIS device, the cylindrical waveguide eigenvalues ​​for the target waveguide mode are obtained based on the waveguide parameters. Based on the cylindrical waveguide eigenvalues, the reference azimuth angle of the antenna array is obtained. Next, the adjustment parameters for the reference azimuth angle are obtained, and the reference azimuth angle is adjusted according to the adjustment parameters until the antenna array after azimuth angle adjustment meets the preset electromagnetic field distribution conditions, thus obtaining the target azimuth angle. Finally, based on the target azimuth angle, the antenna array arrangement strategy is generated. Thus, by solving the eigenvalue problem of the cylindrical waveguide, the distribution reference of the antenna array is determined. Based on this, the reference azimuth angle is optimized by adjusting parameters and preset electromagnetic field distribution conditions to obtain the precise angular position of the antenna array. This allows the antenna elements to be arranged at positions that efficiently excite specific waveguide modes, thereby reducing the possibility of pattern distortion caused by the excitation of multiple degenerate modes by the ring-shaped equally spaced array in the circular metal waveguide. Furthermore, within the limited GIS handhole space, an electromagnetic field equivalent to the actual discharge and uniformly distributed is reconstructed, improving the field distribution uniformity of the antenna array. This further contributes to improving the calibration accuracy and reliability of UHF sensors. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is an application environment diagram of the antenna array arrangement strategy determination method in one embodiment;

[0021] Figure 2 This is a flowchart illustrating the method for determining the antenna array arrangement strategy in one embodiment;

[0022] Figure 3 This is a flowchart illustrating the antenna array arrangement strategy determination method in another embodiment;

[0023] Figure 4 This is a flowchart illustrating the method for determining the antenna array arrangement strategy in yet another embodiment;

[0024] Figure 5 This is a schematic diagram of the antenna array distribution in one embodiment;

[0025] Figure 6This is a structural block diagram of an antenna array arrangement strategy determination device in one embodiment;

[0026] Figure 7 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0028] The antenna array arrangement strategy determination method provided in this application embodiment can be applied to, for example, Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104, or it can be located in the cloud or on another network server.

[0029] Specifically, the operator can upload the collected handhole parameter data to the server 104 via the terminal 102. The server 104 obtains the handhole parameters corresponding to the handhole of the target device, and obtains the corresponding waveguide parameters based on the handhole parameters. Next, based on the waveguide parameters, it obtains the cylindrical waveguide eigenvalues ​​for the target waveguide mode, and obtains the reference azimuth angle of the antenna array based on the cylindrical waveguide eigenvalues. Then, it obtains the adjustment parameters of the reference azimuth angle, and adjusts the reference azimuth angle according to the adjustment parameters until the antenna array after adjusting the reference azimuth angle meets the preset electromagnetic field distribution conditions, thus obtaining the target azimuth angle. Finally, based on the target azimuth angle, it generates the antenna array layout strategy.

[0030] The terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart in-vehicle systems, and projection devices. Portable wearable devices can include smartwatches, smart bracelets, and head-mounted displays. Head-mounted displays can be virtual reality (VR) devices, augmented reality (AR) devices, and smart glasses. The server 104 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0031] In one exemplary embodiment, such as Figure 2 As shown, an antenna array arrangement strategy determination method is provided, which is applied to... Figure 1Taking server 104 as an example, the explanation includes the following steps (hereinafter referred to as S): S100 to S400. Wherein:

[0032] S100: Obtain the handhole parameters corresponding to the handhole of the target device, and obtain the corresponding waveguide parameters based on the handhole parameters.

[0033] The target equipment includes, but is not limited to, GIS, transformers, and switchgear. A handhole can be a maintenance or observation opening on the casing of the target equipment. Handhole parameters include, but are not limited to, the length, width, height, and diameter of the handhole. Waveguide parameters characterize the electromagnetic waveguide parameters when the handhole functions as an electromagnetic waveguide structure, such as operating frequency and cutoff wavenumber.

[0034] In practice, the operator can transmit the GIS handhole diameter and operating frequency to the server via a terminal, or the handhole parameters can be retrieved from a local database. This embodiment does not limit the method of obtaining the handhole parameters. After obtaining the handhole parameters, the operating frequency and cutoff wavenumber of the cylindrical waveguide corresponding to the GIS handhole can be obtained by solving the waveguide eigenvalue problem.

[0035] S200: Based on the waveguide parameters, obtain the cylindrical waveguide eigenvalues ​​for the target waveguide mode, and based on the cylindrical waveguide eigenvalues, obtain the reference azimuth angle of the antenna array.

[0036] In this embodiment, the target waveguide mode characterizes the specific waveguide mode to be excited. Considering the characteristics of the circular metal cavity of the GIS handhole, the target waveguide mode is selected from the TM (Transverse Magnetic Mode) and the cylindrical waveguide eigenvalues ​​for the target waveguide mode are obtained. The TM mode refers to an electromagnetic wave propagation mode where the longitudinal component of the magnetic field is zero and the longitudinal component of the electric field is non-zero, belonging to the transverse magnetic wave type. The cylindrical waveguide eigenvalues ​​can refer to specific values ​​of the transverse wavenumber that satisfy the boundary conditions. These values ​​determine the propagable electromagnetic modes (such as TE) in the waveguide. nm or TM nm The cutoff property of ).

[0037] In practical implementation, the electromagnetic field in the cylindrical metal waveguide must satisfy the solution of the Helmholtz equation in cylindrical coordinates and meet the boundary conditions (the electric field tangent vector is zero at the inner wall of the metal). Solving using the method of separation of variables, the radial portion is decomposed into Bessel functions (or Neumann functions). For example, for the TE mode, the eigenvalues ​​correspond to the zeros of the reciprocal of the Bessel function; for the TM mode, the eigenvalues ​​correspond to the zeros of the Bessel function itself.

[0038] S300: Obtain the adjustment parameters of the reference azimuth angle, and adjust the reference azimuth angle according to the adjustment parameters until the antenna array after adjusting the reference azimuth angle meets the preset electromagnetic field distribution conditions, and obtain the target azimuth angle.

[0039] Among them, the preset electromagnetic field distribution conditions are used to characterize the uniformity of electromagnetic field distribution.

[0040] In this embodiment, in order to compensate for the field inhomogeneity caused by waveguide structure, boundary conditions and multimode interference, it is necessary to finely adjust the reference azimuth angle of the antenna element. This can be achieved by superimposing multiple sine waves (Fourier series) with different spatial frequencies to form the azimuth adjustment amount of the reference azimuth angle. The reference azimuth angle is then adjusted according to the azimuth adjustment amount, and the adjusted reference azimuth angle is determined as the target azimuth angle.

[0041] In practice, an evaluation index can be constructed to quantify the uniformity of the electromagnetic field distribution formed by the antenna array. Then, different azimuth adjustment amounts are evaluated through the evaluation index to obtain the adjustment parameters for the reference azimuth and the azimuth adjustment amount corresponding to the adjustment parameters. Finally, the sum of the reference azimuth and the azimuth adjustment amount is determined as the target azimuth.

[0042] S400 generates an antenna array layout strategy based on the target azimuth angle.

[0043] In practice, after obtaining the target azimuth angle of each antenna element in the antenna array, the antenna array radius can be determined based on the handhole parameters, thereby obtaining an arrangement strategy that includes the target azimuth angle and the antenna array radius.

[0044] The antenna array layout strategy determination method described above differs from the ring-shaped, equally spaced antenna array layout method used in related technologies. First, it obtains the handhole parameters and waveguide parameters corresponding to the handhole of the target device. Second, considering the circular metal cavity characteristics of the GIS handhole, it obtains the cylindrical waveguide eigenvalues ​​for the target waveguide mode based on the handhole parameters and waveguide parameters. Based on the cylindrical waveguide eigenvalues, it obtains the reference azimuth angle of the antenna array. Third, it obtains the adjustment parameters for the reference azimuth angle and adjusts the reference azimuth angle according to the adjustment parameters until the antenna array after azimuth angle adjustment meets the preset electromagnetic field distribution conditions, thus obtaining the target azimuth angle. Finally, it generates the antenna array layout strategy based on the target azimuth angle. Thus, by solving the eigenvalue problem of the cylindrical waveguide, the distribution reference of the antenna array is determined. Based on this, the reference azimuth angle is optimized by adjusting parameters and preset electromagnetic field distribution conditions to obtain the precise angular position of the antenna array. This allows the antenna elements to be arranged at positions that efficiently excite specific waveguide modes and reduces the possibility of pattern distortion caused by the excitation of multiple degenerate modes in a circular metal waveguide by a ring-shaped equally spaced array. As a result, an electromagnetic field equivalent to and uniformly distributed as the actual discharge is reconstructed within the limited GIS handhole space, improving the field distribution uniformity of the antenna array. Furthermore, this is beneficial for improving the calibration accuracy and reliability of UHF sensors.

[0045] In one exemplary embodiment, such as Figure 3 As shown, the waveguide parameters include the cutoff wavenumber, and the cylindrical waveguide eigenvalues ​​include the zeros of the Bessel function. Based on the waveguide parameters, the cylindrical waveguide eigenvalues ​​for the target waveguide mode are obtained, and based on the cylindrical waveguide eigenvalues, the reference azimuth angles of the antenna array, including S201 to S202, are obtained. Wherein:

[0046] S201, based on the cutoff wavenumber, obtain the zeros of the Bessel function for the target waveguide mode.

[0047] S202, obtain the reference azimuth angle of the antenna array based on the zero point of the Bessel function.

[0048] Among them, the cutoff wavenumber is a key parameter that determines whether the target waveguide mode can propagate in the waveguide, and it is obtained by solving the eigenvalue problem.

[0049] In this embodiment, the target waveguide mode includes one primary waveguide mode and multiple secondary waveguide modes. The primary mode refers to the mode with the lowest cutoff frequency, i.e., the mode that first begins propagation at the lowest frequency among all possible propagation modes. For a circular metal waveguide, the selection of the primary mode follows these principles: with a fixed waveguide size, the cutoff wavenumber k... c The smallest mode has the lowest cutoff frequency and is the dominant mode of the waveguide. For example, in this embodiment, the smallest mode is selected. The TM mode is used as the main waveguide mode because it has better radial electric field uniformity in the circumferential direction, making it more suitable for constructing uniform electromagnetic fields. Although The mode cutoff frequency is lower, but its field distribution is non-uniform, which is not conducive to the construction of the verification field. Subsequently, multiple secondary waveguide modes are selected from the cutoff frequencies; for example, selecting... Model and The mode is a secondary waveguide mode.

[0050] Afterwards, according to The cutoff wavenumbers of the three modes and their corresponding field distribution characteristics are output as the reference azimuth angle for subsequent optimization calculations. This allows the field shape information of higher-order modes to "predict" at which angles the excitation needs to be strengthened or weakened to counteract field inhomogeneities. Specifically, the calculated values ​​are input as follows: Cutoff wavenumber k for the three modes 11 ,k 12 ,k 13 and their corresponding Bessel functions The zeros of the Bessel function are points where the Bessel function value is zero. These zeros possess characteristics such as: infinitely many real roots, a non-periodic distribution, and non-coincidence between zeros of different orders. Based on the zeros of the Bessel function, a set of reference azimuth angles characterizing the initial angular position of the antenna array is obtained. These characteristics embody the key features of high-order mode field distribution, providing a reasonable starting point for subsequent optimization through perturbation terms.

[0051] In one exemplary embodiment, the adjustment parameters include frequency modulation amplitude and initial phase angle, and the preset electromagnetic field distribution conditions include electromagnetic field intensity fluctuation conditions, such as... Figure 4 As shown, the adjustment parameters for the reference azimuth are obtained, and the reference azimuth is adjusted according to the adjustment parameters, including S301 to S302, wherein:

[0052] S301, based on the electromagnetic field intensity fluctuation conditions and the reference azimuth angle, obtains the frequency modulation amplitude and the initial phase angle.

[0053] S302, adjust the reference azimuth angle according to the frequency modulation amplitude and the initial phase angle to obtain the target azimuth angle.

[0054] In this embodiment, the target azimuth angles of the N antenna elements in the antenna array are:

[0055]

[0056] in, The azimuth adjustment is the amount of the reference azimuth, representing the disturbance term of the uniform azimuth. q is the harmonic order of the Fourier series, and Q is the highest harmonic order used. The frequency modulation amplitude represents the amplitude weight of the q-th order Fourier perturbation component. Let be the initial phase angle, which represents the initial phase angle of the q-th order Fourier perturbation component.

[0057] Specifically, It is a "fine-tuning amount" applied to the uniform angular position. Its physical meaning is: in order to compensate for the field inhomogeneity caused by waveguide structure, boundary conditions and multimode interference, the nominal position of the antenna element needs to be finely adjusted. This adjustment is not arbitrary, but is formed by superimposing a series of sine waves (Fourier series) with different spatial frequencies. Each term in sin(2πq) i / N) represents a modulation mode for a specific "spatial frequency". Lower-order terms (small q) correspond to large-scale positional adjustments (such as overall offset or tilt), while higher-order terms (large q) correspond to small-scale fine adjustments. Frequency modulation amplitude This represents the modulation intensity at the q-th spatial frequency. Modulation at certain frequencies may contribute significantly to field uniformity, thus having a larger weight; conversely, it will have a smaller weight. Initial phase angle. This indicates the initial offset angle of the frequency modulation on the circumference, which determines the phase of the modulated waveform.

[0058] The above adjustment parameters and This is obtained by adjusting the reference azimuth angle according to a preset electromagnetic field strength condition. The electromagnetic field strength fluctuation condition can be used to characterize minimizing electromagnetic field strength fluctuations to ensure uniform circumferential field strength of the antenna array. For example, the electromagnetic field strength fluctuation condition is represented by the following preset optimization objective function:

[0059]

[0060] The objective function F is a quantitative index for measuring the uniformity of the electric field strength. Its meaning is: the electric field strength on the observation circumference... With average field strength The integral of the square of the deviation between the two values ​​over the entire circumference. The smaller F is, the closer the electric field intensity is to the average value over the entire circumference, meaning the field distribution is more uniform. When F=0, it means... everywhere equals It is an ideal, perfectly uniform field.

[0061] Thus, by adjusting the coefficient of the disturbance term and (They decided) This, in turn, determined This minimizes the objective function F. At this point, the corresponding... This refers to the array layout that can produce the most uniform field distribution. After obtaining the frequency modulation amplitude and initial phase angle that satisfy the electromagnetic field intensity fluctuation condition, the azimuth adjustment amount corresponding to the frequency modulation amplitude and initial phase angle is obtained, so that the sum of the reference azimuth angle and the azimuth adjustment amount can be determined as the target azimuth angle.

[0062] In an exemplary embodiment, the handhole parameters include the handhole radius, and the waveguide parameters include the cutoff wavenumber. The cutoff wavenumber is obtained through steps S101 to S102, wherein:

[0063] S101, obtain the handhole radius and electromagnetic wave parameters of the target device.

[0064] S102, based on the handhole radius and the electromagnetic wave parameters, obtain the cutoff wave number corresponding to the handhole.

[0065] The electromagnetic wave parameters may include the operating wavenumber of the cylindrical metal waveguide corresponding to the handhole. The operating wavenumber is a physical quantity that describes the rate of phase change of an electromagnetic wave propagating in a specific medium, and is defined as operating wavenumber β = 2π / λ. g , where λ g Let f be the waveguide wavelength. The operating wavenumber is determined by both the operating frequency f and the waveguide dimensions. At a given operating frequency f0, the free-space wavenumber is β0 = 2πf0 / c. However, since the handhole is a metallic cavity, electromagnetic waves propagate within it in specific waveguide modes, and its operating wavenumber needs to be obtained by solving the eigenvalue problem. The cutoff wavenumber k is a key parameter that determines whether a specific mode can propagate in the waveguide.

[0066] For example, the cylindrical waveguide TM is obtained based on the handhole radius 'a' and the operating wavenumber 'β'. nm The cutoff wavenumber k of the mode, for a TM in a circular metallic waveguide nm The modulus, whose cutoff wavenumber satisfies the following characteristic equation:

[0067]

[0068] Among them, J n Let be the nth order Bessel function, and m be the index of the root. a is the radius of the handhole, and m is the index of the root (zero) of the Bessel function (m=1,2,3,...). The physical meaning of this equation is: on the metal waveguide wall, the tangential electric field must be zero; this boundary condition causes the Bessel function to be zero at r=a.

[0069] The specific calculation steps include: First, determining the order of the target waveguide mode, specifically, the excitation mode required (e.g., TM). nm First, determine the order n of the Bessel function. Then, find the zeros of the Bessel function: for a given n, find or compute the m-th positive root x. nm For example, for TM11 Modulus (n=1, m=1), x11≈3.832. Next, calculate the cutoff wavenumber: from k = x nm / a yields the cutoff wavenumber. Finally, the propagation state can be verified by comparing the operating wavenumber β with the cutoff wavenumber k. If β > k, the mode can propagate in the waveguide; otherwise, it is a dropout mode.

[0070] In this embodiment, by obtaining the zero point of the Bessel function corresponding to the target waveguide mode and obtaining the cutoff wavenumber, it is beneficial to improve the accuracy of the antenna array layout strategy based on the cutoff wavenumber.

[0071] In an exemplary embodiment, an antenna array arrangement strategy is generated based on the target azimuth angle, including S401 to S402, wherein:

[0072] S401, obtain the highest operating frequency, and based on the highest operating frequency and the handhole radius, obtain the total number of antenna elements in the antenna array.

[0073] S402 integrates the target azimuth angle and the total number of antenna elements to generate an antenna array layout strategy.

[0074] The highest operating frequency is determined based on the radius of the hand hole.

[0075] In practice, the total number of antenna elements N is based on the highest operating frequency f. max Sure:

[0076]

[0077] Where c is the speed of light in a vacuum, its value is approximately 3 × 10⁻⁶. 8 meters per second This is for rounding up.

[0078] After obtaining the total number of antenna elements, the target azimuth angle of each antenna element can be determined by referring to the steps in the above embodiments. Then, the array radius can be determined according to the handhole radius. Based on the array radius, the total number of antenna elements, and the target azimuth angles, the arrangement position of each antenna element can be determined, thus obtaining the antenna array arrangement strategy.

[0079] In an exemplary embodiment, an antenna array arrangement strategy is generated based on the target azimuth angle, including S403 to S404, wherein:

[0080] S403: Obtain the waveguide wavelength corresponding to the target device, and obtain the antenna array radius based on the handhole radius and the waveguide wavelength.

[0081] S404 integrates the antenna array radius, target azimuth angle, and total number of antenna elements to generate an antenna array layout strategy.

[0082] In practical implementation, to balance the coupling strength of the GIS cavity and the mutual coupling between antenna elements, the waveguide wavelength corresponding to the cylindrical waveguide is obtained. Based on the waveguide wavelength and the handhole radius, the antenna array radius r is determined. a :

[0083]

[0084] in, λ is the waveguide wavelength.

[0085] After obtaining the antenna array radius, the array radius can be determined based on the handhole radius. Then, based on the array radius, the total number of antenna elements, and the azimuth of each target, the placement position of each antenna element can be determined, thus obtaining the antenna array placement strategy.

[0086] In this embodiment, determining the antenna array radius by waveguide wavelength is beneficial to improving the uniformity of the antenna array field distribution.

[0087] To provide a clearer explanation of the antenna array arrangement strategy determination method provided in this application, a specific embodiment is described below, which includes the following steps:

[0088] S1. Obtain the handhole parameters corresponding to the handhole of the target device. The handhole parameters include the handhole radius. Obtain the electromagnetic wave parameters of the target device. Based on the handhole radius and electromagnetic wave parameters, obtain the cutoff wave number corresponding to the handhole.

[0089] S2. Based on the cutoff wavenumber, obtain the Bessel function zeros for the target waveguide mode, and based on the Bessel function zeros, obtain the reference azimuth angle of the antenna array.

[0090] S3, obtain the highest operating frequency, and based on the highest operating frequency and the handhole radius, obtain the total number of antenna elements in the antenna array.

[0091] S4. Based on the electromagnetic field intensity fluctuation conditions and the reference azimuth angle, obtain the frequency modulation amplitude and initial phase angle. Based on the frequency modulation amplitude and initial phase angle, adjust the reference azimuth angle to obtain the target azimuth angle.

[0092] S5: Obtain the waveguide wavelength corresponding to the target device, and obtain the antenna array radius based on the hand hole radius and the waveguide wavelength.

[0093] S6 integrates the antenna array radius, target azimuth angle, and total number of antenna elements to generate an antenna array layout strategy.

[0094] For example, such as Figure 5The diagram shows the antenna array distribution. Taking a certain type of GIS handhole as an example, the handhole radius is a = 0.06 m and the operating center frequency is f0 = 1.0 GHz (β≈20.94 rad / m).

[0095] First, calculate The cutoff wavenumber of the mode. The first three positive zeros of J1(x) are approximately . due to ka <x 11 Therefore, the hand hole operates at a single-mode (TM) frequency. 11 Transmission status. However, the field shape of higher-order modes can still be used to optimize the array layout.

[0096] Secondly, according to f max =1.5 GHz, calculate the total number of antenna array elements. ,in, To round up. Let the array radius be r. a =0.03 m (satisfies the λg / 4 constraint).

[0097] Furthermore, by optimizing the objective function, the non-uniform azimuth angles of the six antenna elements may be obtained as follows: Simulation results show that the field strength inhomogeneity in the target region is reduced from 6.2 dB for a uniform array to 1.3 dB, verifying the effectiveness of this method.

[0098] In this embodiment, high-fidelity reconstruction of electromagnetic noise within the GIS handhole is achieved, significantly improving the uniformity of the electromagnetic field. The steps in this embodiment excite the array... The sensor generates a uniform radial electric field distribution on the observation circumference. This arrangement method ensures that the field strength non-uniformity is controlled within 1.5 dB, effectively solving the problem of unstable reproduction of UHF noise in substations, thereby improving the sensor's calibration accuracy.

[0099] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0100] In one exemplary embodiment, such as Figure 6As shown, an antenna array arrangement strategy determination device 600 is provided, including: a parameter acquisition module 610, a reference azimuth angle acquisition module 620, a target azimuth angle acquisition module 630, and an arrangement strategy determination module 640, wherein:

[0101] The parameter acquisition module 610 is used to acquire the handhole parameters corresponding to the handhole of the target device, and to acquire the corresponding waveguide parameters based on the handhole parameters;

[0102] The reference azimuth angle acquisition module 620 is used to obtain the cylindrical waveguide eigenvalues ​​for the target waveguide mode based on the waveguide parameters, and to obtain the reference azimuth angle of the antenna array based on the cylindrical waveguide eigenvalues.

[0103] The target azimuth angle acquisition module 630 is used to acquire the adjustment parameters of the reference azimuth angle, and adjust the reference azimuth angle according to the adjustment parameters until the antenna array after adjusting the reference azimuth angle meets the preset electromagnetic field distribution conditions, thereby obtaining the target azimuth angle.

[0104] The deployment strategy determination module 640 is used to generate an antenna array deployment strategy based on the target azimuth angle.

[0105] In an exemplary embodiment, the reference azimuth angle acquisition module 620 is further configured to acquire the Bessel function zeros for the target waveguide mode based on the cutoff wavenumber; and acquire the reference azimuth angle of the antenna array based on the Bessel function zeros.

[0106] In an exemplary embodiment, the target azimuth angle acquisition module 630 is further configured to acquire the frequency modulation amplitude and the initial phase angle based on the electromagnetic field intensity fluctuation conditions and the reference azimuth angle; and adjust the reference azimuth angle based on the frequency modulation amplitude and the initial phase angle to obtain the target azimuth angle.

[0107] In an exemplary embodiment, the parameter acquisition module 610 is further configured to acquire the electromagnetic wave parameters of the target device; and to acquire the cutoff wave number corresponding to the handhole based on the handhole radius and the electromagnetic wave parameters.

[0108] In an exemplary embodiment, the arrangement strategy determination module 640 is further configured to obtain the highest operating frequency and, based on the highest operating frequency and the handhole radius, obtain the total number of antenna elements of the antenna array; and integrate the target azimuth angle and the total number of antenna elements to generate an antenna array arrangement strategy.

[0109] In an exemplary embodiment, the arrangement strategy determination module 640 is further configured to obtain the waveguide wavelength corresponding to the target device, and obtain the antenna array radius based on the handhole radius and the waveguide wavelength; and integrate the antenna array radius, the target azimuth angle and the total number of antenna elements to generate an antenna array arrangement strategy.

[0110] Each module in the antenna array arrangement strategy determination device 600 described above can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0111] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 7 As shown, this computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network. When executed by the processor, the computer program implements a method for determining an antenna array deployment strategy.

[0112] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0113] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in any of the above embodiments of the antenna array arrangement strategy determination method.

[0114] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps in any of the above embodiments of the antenna array arrangement strategy determination method.

[0115] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in any of the antenna array arrangement strategy determination method embodiments described above.

[0116] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0117] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0118] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0119] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for determining an antenna array arrangement strategy, characterized in that, The method includes: Obtain the handhole parameters corresponding to the handhole of the target device, and obtain the corresponding waveguide parameters based on the handhole parameters; Based on the waveguide parameters, the cylindrical waveguide eigenvalues ​​for the target waveguide mode are obtained, and based on the cylindrical waveguide eigenvalues, the reference azimuth angle of the antenna array is obtained. Obtain the adjustment parameters of the reference azimuth angle, and adjust the reference azimuth angle according to the adjustment parameters until the antenna array after adjusting the reference azimuth angle meets the preset electromagnetic field distribution conditions, thereby obtaining the target azimuth angle; An antenna array layout strategy is generated based on the target azimuth angle.

2. The method according to claim 1, characterized in that, The waveguide parameters include the cutoff wavenumber, and the cylindrical waveguide eigenvalues ​​include the zeros of the Bessel function; the step of obtaining the cylindrical waveguide eigenvalues ​​for the target waveguide mode based on the waveguide parameters, and obtaining the reference azimuth angle of the antenna array based on the cylindrical waveguide eigenvalues, includes: Based on the cutoff wavenumber, obtain the Bessel function zeros for the target waveguide mode; The reference azimuth angle of the antenna array is obtained based on the zero point of the Bessel function.

3. The method according to claim 2, characterized in that, The adjustment parameters include frequency modulation amplitude and initial phase angle, and the preset electromagnetic field distribution conditions include electromagnetic field intensity fluctuation conditions; obtaining the adjustment parameters of the reference azimuth angle and adjusting the reference azimuth angle according to the adjustment parameters includes: Based on the electromagnetic field intensity fluctuation conditions and the reference azimuth angle, the frequency modulation amplitude and initial phase angle are obtained; Based on the frequency modulation amplitude and the initial phase angle, the reference azimuth angle is adjusted to obtain the target azimuth angle.

4. The method according to claim 1, characterized in that, The handhole parameters include the handhole radius, and the waveguide parameters include the cutoff wavenumber; the cutoff wavenumber is obtained in the following ways: Obtain the electromagnetic wave parameters of the target device; Based on the handhole radius and the electromagnetic wave parameters, the cutoff wave number corresponding to the handhole is obtained.

5. The method according to claim 4, characterized in that, The method for generating the antenna array arrangement strategy based on the target azimuth angle includes: Obtain the highest operating frequency, and based on the highest operating frequency and the radius of the hand hole, obtain the total number of antenna elements in the antenna array; By integrating the target azimuth angle and the total number of antenna elements, an antenna array layout strategy is generated.

6. The method according to claim 5, characterized in that, The method for generating the antenna array arrangement strategy based on the target azimuth angle includes: Obtain the waveguide wavelength corresponding to the target device, and obtain the antenna array radius based on the handhole radius and the waveguide wavelength; By integrating the antenna array radius, target azimuth angle, and the total number of antenna elements, an antenna array layout strategy is generated.

7. An antenna array arrangement strategy determination device, characterized in that, The device includes: The parameter acquisition module is used to acquire the handhole parameters corresponding to the handhole of the target device, and to acquire the corresponding waveguide parameters based on the handhole parameters; The reference azimuth angle acquisition module is used to acquire the cylindrical waveguide eigenvalues ​​for the target waveguide mode based on the waveguide parameters, and to acquire the reference azimuth angle of the antenna array based on the cylindrical waveguide eigenvalues. The target azimuth angle acquisition module is used to acquire the adjustment parameters of the reference azimuth angle, and adjust the reference azimuth angle according to the adjustment parameters until the antenna array after adjusting the reference azimuth angle meets the preset electromagnetic field distribution conditions, thereby obtaining the target azimuth angle. The deployment strategy determination module is used to generate an antenna array deployment strategy based on the target azimuth angle.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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