A control method for rainfall intensity and rainfall uniformity in a rain test

Abstract

The present application discloses a method for controlling rainfall intensity and rainfall uniformity in a rain test, belonging to the technical field of rain tests, including: obtaining a rainfall distribution model of a single nozzle through interpolation; performing superposition calculation on the rainfall of multiple nozzles according to the rainfall distribution model to obtain a multi-nozzle rainfall distribution model; adjusting the arrangement spacing of each nozzle according to the multi-nozzle rainfall distribution model to obtain the expected rainfall intensity and rainfall uniformity. The method provided by the present application can be applied to the technical field of rain tests, can quickly obtain the rainfall distribution under various nozzle arrangement modes, and can quickly control the rainfall intensity and rainfall uniformity by adjusting the nozzle arrangement mode, thereby saving experimental costs and improving experimental effects.

Description

Technical Field

[0001] The present application relates to a method for controlling rainfall intensity and rainfall uniformity in a rain test, belonging to the technical field of rain tests. Background Art

[0002] Climate environment laboratories can simulate various climate environments to achieve the reliability detection of equipment. Among them, the rain test is an important part, and the simulation of the rain environment can be carried out in the climate environment laboratory. To improve the test effect, the rain test system needs to flexibly control the rainfall intensity within a certain rainfall area and ensure a high rainfall uniformity. Currently, most domestic and foreign laboratories use the way of nozzle superposition spraying to simulate the rain environment. There are many working condition parameters that need to be determined when the nozzle array is working, such as nozzle spacing and spraying height, etc. Any change in one of these parameters may cause drastic changes in rainfall intensity and uniformity. The combinations of these parameters are diverse. If only the appropriate combination method is determined through experiments, it will take a lot of time and effort, affecting the rain test effect. Summary of the Invention

[0003] The purpose of the present application is to provide a method for controlling rainfall intensity and rainfall uniformity in a rain test, which can quickly obtain the rainfall distribution under various nozzle arrangement modes, and realize the rapid control of rainfall intensity and rainfall uniformity by adjusting the nozzle arrangement mode, thereby saving experimental costs and improving the experimental effect.

[0004] To achieve the above purpose, the first aspect of the present application provides a method for controlling rainfall intensity and rainfall uniformity in a rain test, including:

[0005] Obtaining the rainfall distribution model of a single nozzle by the interpolation method;

[0006] Superposing and calculating the rainfall of multiple nozzles according to the rainfall distribution model to obtain a multi-nozzle rainfall distribution model;

[0007] Adjusting the arrangement spacing of each nozzle according to the multi-nozzle rainfall distribution model to obtain the expected rainfall intensity and rainfall uniformity.

[0008] In one embodiment, the obtaining the rainfall distribution model of a single nozzle by the interpolation method includes:

[0009] Obtaining the rainfall distribution of a single nozzle through a rain gauge;

[0010] Calculating the rainfall distribution model by the interpolation method according to the rainfall distribution.

[0011] In one embodiment, the obtaining the rainfall distribution of a single nozzle through a plurality of rain gauges includes:

[0012] Determine the spray coverage range of a single nozzle, determine the number and positions of measuring points according to the spray coverage range, and set a rain gauge at each measuring point;

[0013] Collect the rainfall amount of a single nozzle within a preset time through each rain gauge, record the rainfall data in each rain gauge after the collection is completed, and obtain the rainfall distribution of the single nozzle.

[0014] In one embodiment, the calculating the rainfall distribution model by the interpolation method includes:

[0015] Calculate the rainfall distribution model by the cubic spline interpolation method according to the rainfall data in each rain gauge and the radial distance between each rain gauge and the single nozzle.

[0016] In one embodiment, the superimposing and calculating the rainfall distributions of multiple nozzles according to the rainfall distribution model includes:

[0017] Determine the overall coverage range when multiple nozzles perform combined spraying;

[0018] Obtain the multi-nozzle rainfall distribution model by means of superimposing calculation according to the rainfall distribution model and the overall coverage range.

[0019] In one embodiment, the determining the overall coverage range when multiple nozzles perform combined spraying includes:

[0020] Calculate the overall coverage range through the following formula:

[0021] L = ∑S i + D 1

[0022] W = ∑S i + D 2

[0023] where L is the maximum spray length when multiple nozzles perform combined spraying, W is the maximum spray width when multiple nozzles perform combined spraying, S i is the spray coverage range of a single nozzle, and D 1 and D 2 are the longitudinal spacing and the lateral spacing between the nozzles respectively.

[0024] In one embodiment, the obtaining the multi-nozzle rainfall distribution model by means of superimposing calculation according to the rainfall distribution model and the overall coverage range includes:

[0025] Obtain the original rainfall distribution matrix of a single nozzle according to the rainfall distribution model;

[0026] According to the overall coverage, the original rainfall distribution matrix of each nozzle is respectively expanded by a zero matrix to obtain the expanded rainfall distribution matrix of each nozzle, wherein the matrix size of each expanded rainfall distribution matrix matches the overall coverage;

[0027] The expanded rainfall distribution matrices of each nozzle are superimposed to obtain the multi-nozzle rainfall distribution model.

[0028] In one implementation manner, the step of respectively expanding the original rainfall distribution matrix of each nozzle by a zero matrix according to the overall coverage includes:

[0029] For any nozzle, the corresponding expanded rainfall distribution matrix is calculated by the following formula:

[0030]

[0031] where C 1 is the expanded rainfall distribution matrix of a single nozzle, C ij is the original rainfall distribution matrix of a single nozzle, where i and j are respectively the number of rows and columns of the original rainfall distribution matrix, O wj is a zero matrix of w rows and j columns, O il is a zero matrix of i rows and l columns, and O wl is a zero matrix of w rows and l columns.

[0032] The second aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the first aspect or any implementation manner of the first aspect are implemented.

[0033] The third aspect of the present application provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the first aspect or any implementation manner of the first aspect are implemented.

[0034] As can be seen from the above, the present application provides a nozzle array layout method applied to a rain test, which can be applied to the rain technology field. By superimposing and calculating the rainfall distribution data of a single nozzle, predicted values of rainfall intensity, rainfall uniformity, and rainfall area in the case of different numbers of nozzles and layout spacings are obtained. In a rain system, the rainfall intensity and rainfall uniformity can be quickly selected by adjusting the nozzle arrangement method, thereby saving experimental costs and improving experimental effects. Description of the Drawings

[0035] To more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0036] Figure 1 Schematic diagram of a control method flow provided for an embodiment of the present application;

[0037] Figure 2 Schematic diagram of a rainfall distribution model of a single nozzle provided for an embodiment of the present application;

[0038] Figure 3 Schematic diagram of rainfall distribution within a 3m×3m range obtained by matrix superposition provided for an embodiment of the present application;

[0039] Figure 4 Curve graph showing the variation of rainfall uniformity of VKE1-90 type nozzles with the layout spacing provided for an embodiment of the present application. Detailed implementation manners

[0040] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are presented to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0041] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0042] It should also be understood that the terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification of the present application and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0043] Combined with the accompanying drawings in the embodiments of the present application, the technical solutions in the embodiments of the present application are clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0044] In the following description, many specific details are set forth in order to fully understand the present application. However, the present application may also be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the connotation of the present application. Therefore, the present application is not limited by the specific embodiments disclosed below.

[0045] Embodiment 1

[0046] The embodiment of the present application provides a method for controlling rainfall intensity and rainfall uniformity in a rain test, as Figure 1 shown, the method includes:

[0047] S100 Obtain the rainfall distribution model of a single nozzle through the interpolation method;

[0048] Optionally, the obtaining the rainfall distribution model of a single nozzle through the interpolation method includes: obtaining the rainfall distribution of a single nozzle through a rain gauge; calculating the rainfall distribution model through the interpolation method according to the rainfall distribution.

[0049] Optionally, the obtaining the rainfall distribution of a single nozzle through several rain gauges includes: determining the spray coverage range of a single nozzle, determining the number and positions of measurement points according to the spray coverage range, and arranging a rain gauge at each measurement point; collecting the rainfall of a single nozzle within a preset time through each rain gauge, and recording the rainfall data in each rain gauge after the collection is completed to obtain the rainfall distribution of a single nozzle.

[0050] Optionally, the calculating the rainfall distribution model through the interpolation method includes: calculating the rainfall distribution model through the cubic spline interpolation method according to the rainfall data in each rain gauge and the radial distance between each rain gauge and the single nozzle.

[0051] In an implementation manner, no matter how the number of rain gauges is increased, it is impossible to obtain the complete rainfall distribution of a single nozzle. However, as the measurement points are continuously densified, the change law of the rainfall intensity will gradually become clear. Therefore, the embodiment of the present application represents this change law in the form of a continuous function, that is, the rainfall intensity at any point in space can be calculated back through this continuous function, and finally the calculated-back value is compared with the measured value and corrected.

[0052] In one embodiment, the embodiments of the present application calculate the rainfall distribution model using the interpolation method, that is, approximating a continuous function through finite data, and its mathematical definition is as follows:

[0053] Let the function y = f(x) be defined on the interval [a, b], and it is known that at the points a ≤ x 0 ≤ x 1 ≤... ≤ x n ≤ b, the values y 0 、y 1 ... y n are known. If there exists a simple function P(x) such that P(x i ) = y i holds, then P(x) is called the interpolation function, the points x i are called the interpolation nodes, and the method of finding the interpolation function P(x) is called the interpolation method.

[0054] In the embodiments of the present application, the actual spraying shape of a single nozzle can be approximately regarded as a cone with the center at the nozzle. Using this geometric property, the coordinates can be further simplified. Ignoring the change of rainfall intensity with the spatial angle, the two coordinates x and y are simplified into one coordinate r, that is, the radial distance of each measurement point from the nozzle. After completing the coordinate transformation, the cubic spline interpolation method is selected for calculation. The calculation domain is divided into several small intervals, and the head and tail of each interval are connected by cubic polynomials. Finally, all the cubic polynomials are connected into a piecewise function to obtain the cubic spline function, and the rainfall distribution model is calculated according to the cubic spline function. Using this interpolation method for calculation, the calculation efficiency is higher, the stability and convergence are better, and it is applicable to the engineering field. Alternatively, other common interpolation methods such as polynomial interpolation method, Lagrange interpolation method, and Newton interpolation method can also be used, which are not limited here.

[0055] In one application scenario, the embodiments of the present application take the nozzle of model VKE1-90 as an example under the working conditions of a water supply pressure of 0.6 MPa and a spraying distance of 70 cm. The complete rainfall distribution model obtained after interpolation is as Figure 2 shown.

[0056] S200 performs superposition calculation on the rainfall of multiple nozzles according to the rainfall distribution model to obtain a multi-nozzle rainfall distribution model;

[0057] Optionally, the superposition calculation of the rainfall distribution of multiple nozzles according to the rainfall distribution model includes: determining the overall coverage range when multiple nozzles perform combined spraying; and obtaining the multi-nozzle rainfall distribution model through superposition calculation according to the rainfall distribution model and the overall coverage range.

[0058] In one embodiment, the rainfall distribution of a single nozzle can be represented in the form of a matrix. When multiple nozzles are combined for spraying, the rainfall will be superimposed, which can also be represented by matrix superposition. That is, when multiple nozzles are combined for spraying, the rainfall at the intersection of the sprays of two adjacent nozzles is equal to the sum of the values at the corresponding positions in the two corresponding matrices; while the rainfall in the non-intersecting parts remains unchanged. Therefore, the spraying coverage range and the size of the intersection area of each nozzle can be determined first, and then the overall coverage range when multiple nozzles are combined for spraying can be obtained. Combining with the rainfall distribution model of a single nozzle, the rainfall distribution during combined spraying can be obtained.

[0059] Optionally, when multiple nozzles are combined and arranged in a square matrix, and the spacing between nozzles in each row / column is the same, the determination of the overall coverage range when multiple nozzles are combined for spraying includes: calculating the overall coverage range through the following formula:

[0060] L = ∑S i + D 1

[0061] W = ∑S i + D 2

[0062] Wherein, L is the maximum spraying length when multiple nozzles are combined for spraying, W is the maximum spraying width when multiple nozzles are combined for spraying, S i is the spraying coverage range of a single nozzle, D 1 and D 2 are the longitudinal spacing and the transverse spacing between the nozzles respectively.

[0063] Optionally, the obtaining of the multi-nozzle rainfall distribution model by superposition calculation according to the rainfall distribution model and the overall coverage range includes: obtaining the original rainfall distribution matrix of a single nozzle according to the rainfall distribution model; according to the overall coverage range, respectively expanding the original rainfall distribution matrix of each nozzle by a zero matrix to obtain the expanded rainfall distribution matrix of each nozzle, wherein the matrix size of each expanded rainfall distribution matrix matches the overall coverage range; and superimposing the expanded rainfall distribution matrices of each nozzle to obtain the multi-nozzle rainfall distribution model.

[0064] In one embodiment, if the original rainfall distribution matrix of a single nozzle does not contain zero values, the number of rows and columns thereof corresponds to the area of the spraying coverage range of the nozzle. Even if "0" is artificially added to the matrix, although the number of rows and columns of the matrix changes, the actual rainfall coverage area does not change. Therefore, for the convenience of calculation, the embodiments of the present application expand the original rainfall distribution matrix of each nozzle according to this idea, that is, a zero matrix of a certain size is added to the original rainfall distribution matrix so that the size of the expanded matrix matches the overall coverage range (L, W) during combined spraying.

[0065] Optionally, according to the different spatial orientations of a single nozzle, the filling positions of the zero matrices are also different. Taking the example of four nozzles spraying in a square matrix superposition, the nozzles are divided into upper left, upper right, lower left, and lower right according to the spatial orientation, and are numbered 1-4 in sequence. After determining the overall coverage range of the combined spraying of the four nozzles and the original rainfall distribution matrix of each nozzle, taking the nozzle No. 1 in the upper left orientation as an example, the method for expanding its zero matrix is as follows:

[0066]

[0067] Among them, C 1 is the expanded rainfall distribution matrix of nozzle No. 1, C ij is the original rainfall distribution matrix of nozzle No. 1, where i and j are the number of rows and columns of the original rainfall distribution matrix respectively, O wj is a zero matrix of w rows and j columns, O il is a zero matrix of i rows and l columns, O wl is a zero matrix of w rows and l columns, and the value of j + l corresponds to L, and the value of i + w corresponds to W.

[0068] Similarly, the method for expanding the zero matrix of nozzles No. 2 to No. 4 is similar to that of nozzle No. 1, only the filling positions of the zero matrices are different, specifically:

[0069]

[0070] Finally, the expanded rainfall distribution matrices of the four nozzles are superimposed through the following formula to obtain the rainfall distribution model C of the multi-nozzle:

[0071] C = C 1 + C 2 + C 3 + C 4

[0072] Among them, C 1 、C 2 、C 3 、C 4 are the expanded rainfall distribution matrices of nozzles No. 1 to No. 4 respectively.

[0073] The S300 adjusts the arrangement spacing of each nozzle according to the multi-nozzle rainfall distribution model to obtain the expected rainfall intensity and rainfall uniformity.

[0074] In an application scenario, the embodiment of the present application takes 121 nozzles of the VKE1-90 model as an example under the working conditions of a water supply pressure of 0.6 MPa and a spraying distance of 70 cm, and obtains a multi-nozzle rainfall distribution model within a 3 m × 3 m spraying range as Figure 3 shown. The arrangement spacing of each nozzle is adjusted according to the multi-nozzle rainfall distribution model, that is, the horizontal and vertical spacings of the nozzle arrangement are changed within the range of 0 to 1.3 m, and the change curve of the rainfall uniformity of the VKE1-90 model nozzle is obtained as Figure 4 shown. It can be seen from Figure 4 that the change of rainfall uniformity with the nozzle arrangement spacing shows a repetitive law of increasing first and then decreasing, and there are three maximum values near the spacings of 0.4 m, 0.6 m, and 1.1 m. Therefore, two distances of 0.4 m and 0.6 m can be initially selected as the alternative arrangement spacings of the nozzles, and the arrangement spacing of the nozzles is further adjusted according to the expected rainfall intensity to meet the requirements of the expected rainfall intensity and rainfall uniformity.

[0075] As can be seen from the above, the embodiment of the present application provides a method for arranging a nozzle array applied to a rain test, which can be applied to the field of rain technology. By superimposing and calculating the rainfall distribution data of a single nozzle, the predicted values of rainfall intensity, rainfall uniformity, and rainfall area under different numbers and arrangement spacings of nozzles are obtained. In a rain system, the rapid selection of rainfall intensity and rainfall uniformity can be achieved by adjusting the nozzle arrangement method, thereby saving experimental costs and improving experimental effects.

[0076] Embodiment 2

[0077] The embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. Among them, the memory is used to store software programs and modules, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory. The memory and the processor are connected by a bus. Specifically, when the processor runs the above computer program stored in the memory, any step in Embodiment 1 above is implemented.

[0078] It should be understood that in the embodiments of this application, the so-called processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0079] The memory may include a read-only memory, a flash memory, and a random access memory, and provide instructions and data to the processor. A part or all of the memory may also include a non-volatile random access memory.

[0080] It should be understood that if the above integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above method embodiments of this application, it can also be completed by a computer program instructing the relevant hardware. The above computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above method embodiments can be implemented. Among them, the above computer program includes computer program code, and the above computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The above computer-readable medium may include: any entity or device capable of carrying the above computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the above computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction.

[0081] The above description of the disclosed embodiments enables those skilled in the art to implement or use this application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0082] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the above device can be divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiment and will not be repeated here.

[0083] It should be noted that the methods and their detailed examples provided in the above embodiments can be combined with the devices and equipment provided in the embodiments, with reference to each other, and will not be repeated here.

[0084] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professionals can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0085] In the embodiments provided in the present application, it should be understood that the disclosed device / terminal device and method can be implemented in other ways. For example, the device / equipment embodiments described above are only illustrative. For example, the above division of modules or units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0086] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for controlling rainfall intensity and rainfall uniformity in a rain test, characterized in that: include: The rainfall distribution model of a single nozzle is obtained by interpolation method; The rainfall of multiple nozzles is superimposed and calculated according to the rainfall distribution model to obtain a multi-nozzle rainfall distribution model; According to the multi-nozzle rainfall distribution model, the arrangement spacing of each nozzle is adjusted to obtain the expected rainfall intensity and rainfall uniformity; The superposition calculation of the rainfall distribution of multiple nozzles according to the rainfall distribution model includes: Determine the overall coverage when multiple nozzles are combined for spraying; According to the rainfall distribution model and the overall coverage, the multi-nozzle rainfall distribution model is obtained by superposition calculation; Determining the overall coverage of multiple nozzles for combined spraying includes: The overall coverage is calculated by the following formula: L=∑S i +D1 W=∑S i +D2 Wherein, L is the maximum spray length when multiple nozzles are combined for spraying, W is the maximum spray width when multiple nozzles are combined for spraying, S i is the spray coverage of a single nozzle, D1 and D2 are the longitudinal spacing and lateral spacing between nozzles respectively; The method of obtaining the multi-nozzle rainfall distribution model by superposition calculation according to the rainfall distribution model and the overall coverage range includes: Obtaining an original rainfall distribution matrix of a single nozzle according to the rainfall distribution model; According to the overall coverage, the original rainfall distribution matrix of each nozzle is expanded by a zero matrix to obtain an expanded rainfall distribution matrix of each nozzle, wherein the matrix size of each expanded rainfall distribution matrix matches the overall coverage; Superimposing the expanded rainfall distribution matrices of each nozzle to obtain the multi-nozzle rainfall distribution model; The rainfall distribution model of the single nozzle includes a continuous function, and the continuous function is used to obtain the rainfall intensity at any point in space; The rainfall distribution of a single nozzle is represented in matrix form. When multiple nozzles are combined for spraying, the distribution is represented by matrix superposition: The rainfall at the intersection of the sprays of two adjacent nozzles is equal to the sum of the values ​​at the corresponding positions in the two corresponding matrices, and the rainfall at the non-intersecting part remains unchanged.

2. The control method according to claim 1, characterized in that: The rainfall distribution model of a single nozzle obtained by interpolation method includes: The rainfall distribution of a single nozzle is obtained through a rain gauge; According to the rainfall distribution, the rainfall distribution model is calculated by interpolation method.

3. The control method according to claim 2, characterized in that: The method of obtaining the rainfall distribution of a single nozzle by using a rain gauge comprises: Determine the spray coverage of a single nozzle, determine the number and location of measuring points according to the spray coverage, and set a rain gauge at each measuring point; The rainfall of a single nozzle within a preset time is collected through each rain gauge. After the collection is completed, the rainfall data in each rain gauge is recorded to obtain the rainfall distribution of a single nozzle.

4. The control method according to claim 3, characterized in that: The rainfall distribution model is obtained by interpolation method and includes: The rainfall distribution model is obtained by calculating the rainfall data in each rain gauge and the radial distance between each rain gauge and a single nozzle through the cubic spline interpolation method.

5. The control method according to claim 1, characterized in that: The expanding the original rainfall distribution matrix of each nozzle by using a zero matrix according to the overall coverage range includes: The filling position of the zero matrix varies according to the spatial orientation of the individual nozzles; For four nozzles spraying in a square array, the nozzles are divided into upper left, upper right, lower left, and lower right according to their spatial orientation, and numbered from 1 to 4; The corresponding expanded rainfall distribution matrix is ​​calculated by the following formula: Among them, C1, C2, C3, and C4 are the expanded rainfall distribution matrices of nozzles 1 to 4, respectively. ij is the original rainfall distribution matrix of a single nozzle, where i and j are the number of rows and columns of the original rainfall distribution matrix, respectively. wj is a zero matrix with w rows and j columns, O il is a zero matrix with i rows and l columns, O wl is a zero matrix with w rows and l columns.

6. An electronic device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 5 when executing the computer program.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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