Unmanned aerial vehicle base station networking layout method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of geographic information, in particular to an unmanned aerial vehicle base station networking layout method, which comprises the following steps: obtaining a drainage basin boundary map of a to-be-laid area, and obtaining a water resource partition map and an administrative map of the to-be-laid area according to the drainage basin boundary map of the to-be-laid area; superposing the water resource partition map and the administrative region map of the to-be-arranged region, and constructing a water resource region-to-administrative region map of the to-be-arranged region; obtaining a plurality of unmanned aerial vehicle base station position demand points and a plurality of unmanned aerial vehicle base station position candidate points in a water resource area set administrative area graph of the to-be-arranged area; inputting a plurality of unmanned aerial vehicle base station position demand points and a plurality of unmanned aerial vehicle base station position candidate points in the water resource area set administrative region graph of the to-be-arranged area into a preset position set coverage model to obtain a plurality of unmanned aerial vehicle base station position target points, and constructing an unmanned aerial vehicle base station networking layout graph of the to-be-arranged area, all monitoring requirements are met, and the flood disaster monitoring efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of geographic information technology, and in particular to a method, device, computer equipment and storage medium for unmanned aerial vehicle base station networking layout. Background Art

[0002] In recent years, global climate change has triggered the frequent occurrence of extreme rainstorms, increased rainfall and intensity, causing flood disasters and causing serious loss of life and property. Therefore, it is urgent to carry out flood disaster investigation and monitoring, analyze the inundation situation and disaster assessment, and provide solid and reliable data support for flood prevention and disaster reduction and optimal scheduling of water conservancy projects.

[0003] UAV remote sensing is often used in flood disaster monitoring because it is close to the ground, has the characteristics of high accuracy, high efficiency, no weather influence, good timeliness, and can shoot video images. However, in the process of monitoring flood disasters in the river basin, the UAV is limited by its endurance, which makes the ground observation coverage small. When facing sudden, wide-ranging, and highly destructive flood events, its ground observation efficiency is low, and the single-machine operation mode cannot meet the needs of flood emergency monitoring. The emergence of UAV intelligent base stations with automatic charging and battery replacement functions has greatly improved the endurance of UAVs, overcoming the shortcomings of insufficient endurance, small coverage, frequent transfer, long time consumption, and low efficiency of single-machine flood disaster monitoring by UAVs. However, there is a lack of research on the networking layout of UAV intelligent base stations for flood disaster monitoring, which results in the ineffective use of the UAV's ability to respond quickly to flood disasters. Summary of the invention

[0004] Based on this, the purpose of the present invention is to provide a method, device, computer equipment and storage medium for the network layout of drone base stations. Based on the drone base station location demand points and drone base station location candidate points in the water resource zone administrative area map of the area to be laid out, a location set coverage model is used to construct a drone base station network layout map of the area to be laid out, which can achieve the establishment of the minimum drone base station location target points, meet all monitoring needs, and improve the efficiency of flood disaster monitoring.

[0005] In a first aspect, an embodiment of the present application provides a method for deploying a drone base station network, comprising the following steps:

[0006] Obtain a watershed boundary map of the area to be laid out, and obtain a water resource zoning map and an administrative division map of the area to be laid out based on the watershed boundary map of the area to be laid out;

[0007] Superimposing the water resource zoning map and the administrative division map of the area to be laid out to construct a water resource zone-administrative division map of the area to be laid out;

[0008] Obtaining a number of drone base station location demand points and a number of drone base station location candidate points in the water resource area set administrative area map of the area to be deployed;

[0009] Several drone base station location demand points in the water resource zone administrative area map of the area to be deployed and several drone base station location candidate points are input into a preset location set coverage model to obtain several drone base station location target points, and a drone base station network layout map of the area to be deployed is constructed.

[0010] In a second aspect, an embodiment of the present application provides a drone base station networking layout device, including:

[0011] A map generation module, used to obtain a watershed boundary map of the area to be laid out, and obtain a water resource zoning map and an administrative division map of the area to be laid out based on the watershed boundary map of the area to be laid out;

[0012] A map superposition module, used to superimpose the water resource zoning map and the administrative division map of the area to be laid out, so as to construct a water resource zone-administrative division map of the area to be laid out;

[0013] A point acquisition module is used to obtain a number of drone base station location demand points and a number of drone base station location candidate points in the water resource area set administrative area map of the area to be deployed;

[0014] The layout generation module is used to input several drone base station location demand points and several drone base station location candidate points in the water resource zone administrative area map of the area to be laid out into a preset location set coverage model, obtain several drone base station location target points, and construct a drone base station network layout map of the area to be laid out.

[0015] In a third aspect, an embodiment of the present application provides a computer device, comprising: a processor, a memory, and a computer program stored on the memory and executable on the processor; when the computer program is executed by the processor, the steps of the drone base station network layout method as described in the first aspect are implemented.

[0016] In a fourth aspect, an embodiment of the present application provides a storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the drone base station network layout method as described in the first aspect are implemented.

[0017] In an embodiment of the present application, a method, apparatus, computer equipment and storage medium for the network layout of a drone base station are provided. Based on the drone base station location demand points and drone base station location candidate points in the constructed water resource zone administrative area map of the area to be laid out, a location set coverage model is used to construct a drone base station network layout map of the area to be laid out, which can achieve the establishment of a minimum number of drone base station location target points, meet all monitoring needs, and improve the efficiency of flood disaster monitoring.

[0018] For better understanding and implementation, the present invention is described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A schematic diagram of a flow chart of a method for deploying a drone base station network according to an embodiment of the present application;

[0020] Figure 2 A schematic diagram of the process of S1 in the drone base station networking layout method provided in one embodiment of the present application;

[0021] Figure 3 A schematic diagram of the process of S3 in the method for configuring a network of drone base stations provided in one embodiment of the present application;

[0022] Figure 4 A schematic diagram of the process of S4 in the drone base station networking layout method provided in one embodiment of the present application;

[0023] Figure 5 A schematic diagram of the process of S42 in the method for configuring a network of drone base stations provided in one embodiment of the present application;

[0024] Figure 6 A schematic diagram of the structure of a drone base station networking layout device provided in one embodiment of the present application;

[0025] Figure 7 A schematic diagram of the structure of a computer device provided for one embodiment of the present application. DETAILED DESCRIPTION

[0026] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0027] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms of "a", "said" and "the" used in this application and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0028] It should be understood that, although the terms first, second, third, etc. may be used in the present application to describe various information, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" / "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determination".

[0029] See also Figure 1 , Figure 1 A flowchart of a method for configuring a drone base station network is provided in accordance with an embodiment of the present application. The method comprises the following steps:

[0030] S1: Obtain a watershed boundary map of the area to be laid out, and obtain a water resource zoning map and an administrative division map of the area to be laid out based on the watershed boundary map of the area to be laid out.

[0031] The executor of the drone base station network layout method is a layout device of the drone base station network layout method (hereinafter referred to as the layout device). In an optional embodiment, the layout device can be a computer device, a server, or a server cluster composed of multiple computer devices.

[0032] In this embodiment, the layout device obtains a watershed boundary map of the area to be laid out, and obtains a water resource zoning map and an administrative division map of the area to be laid out based on the watershed boundary map of the area to be laid out.

[0033] In order to facilitate management by administrative departments and water conservancy departments, in a preferred embodiment, the layout equipment obtains a four-level water resource zone map and a district, city and county administrative division map covering the area to be laid out based on the watershed boundary map of the area to be laid out, as the water resource zoning map and the administrative division map, respectively.

[0034] See also Figure 2 , Figure 2 The flowchart of S1 in the method for configuring the network layout of the drone base station provided in one embodiment of the present application includes step S11, which is as follows:

[0035] S11: obtaining digital elevation model data and geographic information data of the area to be laid out, performing hydrological analysis based on the digital elevation model data and geographic information data of the area to be laid out, and obtaining a watershed boundary map of the area to be laid out.

[0036] In this embodiment, the layout device obtains the digital elevation model data (DEM) and geographic information data of the area to be laid out, wherein the digital elevation model data is a digital simulation of the landform through limited terrain elevation data, and the digital elevation model data can be obtained by downloading from the geospatial data cloud.

[0037] Based on the digital elevation model data and geographic information data of the area to be laid out, hydrological analysis tools are used on the ArcGIS platform to conduct hydrological analysis such as filling, flow direction, confluence area, flow length, water system, and outlet to obtain a watershed boundary map of the area to be laid out.

[0038] S2: Overlaying the water resource zoning map and the administrative division map of the area to be laid out to construct an administrative division map of the water resource zoning of the area to be laid out.

[0039] In this embodiment, the layout device superimposes the water resource zoning map and the administrative division map of the area to be laid out to construct a water resource zone-administrative division map of the area to be laid out, wherein the water resource zone-administrative division map includes a plurality of patch areas.

[0040] S3: Obtain a number of drone base station location demand points and a number of drone base station location candidate points in the water resource area set administrative area map of the area to be laid out.

[0041] In this embodiment, the layout device obtains several drone base station location demand points and several drone base station location candidate points in the water resource area administrative area map of the area to be laid out, wherein the drone base station location demand points are the demand points for the placement of the drone base station, and the drone base station location candidate points are the candidate points for the placement of the drone base station.

[0042] See also Figure 3 , Figure 3 The flowchart of S3 in the method for configuring the network layout of the drone base station provided in one embodiment of the present application includes steps S31 to S32, which are as follows:

[0043] S31: Obtain the center points of several patch areas in the water resource area set administrative area map of the area to be laid out as the location demand points of the drone base station, and obtain several location demand points of the drone base station.

[0044] In this embodiment, the layout device adds a calculated coordinate field to the layer attribute table of the water resource area administrative map of the layout area on the ArcGIS platform to determine the center points of several patch areas as the drone base station location demand points, and obtains several drone base station location demand points.

[0045] S32: Obtain the location parameters of several candidate points in the administrative area map of the water resource zone in the area to be laid out, obtain the distance parameters between several drone base station location demand points and several candidate points based on the location parameters of several drone base station location demand points and the location parameters of several candidate points, and extract several drone base station location candidate points from the several candidate points based on a preset first distance threshold.

[0046] Since the operation of drone base stations requires energy and network, in an optional embodiment, the candidate points are set in locations such as cities, townships, towns, and villages.

[0047] In this embodiment, the layout device obtains the position parameters of several candidate points in the water resource zone administrative area map of the area to be laid out, and obtains the distance parameters between several drone base station location demand points and several candidate points based on the position parameters of several drone base station location demand points and the position parameters of several candidate points.

[0048] The layout device uses a preset first distance threshold as a candidate point for the drone base station location, and extracts several candidate points for the drone base station location from the candidate points if the distance parameter between the drone base station location demand point and the candidate point is less than or equal to the first distance threshold.

[0049] S4: Input several drone base station location demand points and several drone base station location candidate points in the water resource zone administrative area map of the area to be deployed into a preset location set coverage model, obtain several drone base station location target points, and construct a drone base station network layout map of the area to be deployed.

[0050] In the location set covering model (Location Set Covering problem, LSCP), as long as the UAV base station location candidate point can cover the geographic center of the patch area, it means that the UAV base station location candidate point can cover the UAV base station location demand point. The meaning of coverage means that there is a maximum coverage distance for any UAV base station location candidate point. When the distance from the UAV base station location demand point to the UAV base station location candidate point is within the standard distance, the UAV base station location candidate point can be the UAV base station location demand point.

[0051] In this embodiment, the layout device inputs several drone base station location demand points and several drone base station location candidate points in the water resource zone administrative area map of the area to be laid out into a preset location set coverage model, obtains several drone base station location target points, and constructs a drone base station network layout map of the area to be laid out.

[0052] Based on the drone base station location demand points and drone base station location candidate points in the water resource zone administrative area map of the area to be deployed, the location set coverage model is used to construct the drone base station network layout map of the area to be deployed, which can achieve the establishment of the minimum drone base station location target points, meet all monitoring needs, and improve the efficiency of flood disaster monitoring.

[0053] See also Figure 4 , Figure 4 The flowchart of S4 in the method for configuring the network layout of the drone base station provided in one embodiment of the present application includes steps S41 to S42, which are as follows:

[0054] S41: Obtain distance parameters between several of the drone base station location candidate points and several drone base station location demand points, and according to a preset second distance threshold, obtain several of the drone base station location candidate points whose distance parameters with all drone base station location demand points simultaneously meet the second distance threshold, and construct a drone base station location candidate point set.

[0055] In this embodiment, the layout device obtains the distance parameters between several of the drone base station location candidate points and several drone base station location demand points, and according to a preset second distance threshold, obtains several of the drone base station location candidate points whose distance parameters with all the drone base station location demand points simultaneously meet the second distance threshold, and constructs a drone base station location candidate point set.

[0056] Specifically, the layout device determines that the drone base station location candidate point meets the second distance threshold based on the distance parameters between the same drone base station location candidate point and all drone base station location demand points, and constructs a drone base station location candidate point set if the distance parameters are all less than or equal to the second distance threshold.

[0057] S42: Obtain a plurality of drone base station location target points according to a plurality of the drone base station location demand points, a plurality of the drone base station location demand points, a drone base station location candidate point set and an objective function.

[0058] The objective function is:

[0059]

[0060]

[0061] In the formula, min is the objective function, x i is a decision variable to indicate whether the i-th UAV base station location candidate point is selected, I is the total number of UAV base station location candidate points, N j is the set of candidate points for the UAV base station location corresponding to the jth UAV base station location demand point, and J is the total number of UAV base station location demand points.

[0062] In this embodiment, the layout device obtains the minimum number and positions of drone base station location demand points required to cover all drone base station location demand points based on the several drone base station location demand points, the several drone base station location demand points, the drone base station location candidate point set and the objective function, and obtains several drone base station location target points.

[0063] See also Figure 5 , Figure 5 The flowchart of S42 in the method for configuring the network of drone base stations provided in one embodiment of the present application includes steps S421 to S422, which are as follows:

[0064] S421: Obtain UAV performance data.

[0065] In this embodiment, the layout device obtains UAV performance data, wherein the UAV performance data includes the flight range of the UAV, the endurance of the UAV, and the transmission signal distance of the UAV. Of course, the selection of the UAV performance data can be adaptively adjusted according to actual needs.

[0066] S422: Using the drone performance data as a constraint condition, obtaining a plurality of drone base station location target points according to the plurality of drone base station location demand points, the plurality of drone base station location demand points, the drone base station location candidate point set and the objective function.

[0067] In this embodiment, the layout device uses the drone performance data as a constraint condition, and obtains a number of drone base station location target points based on the number of drone base station location demand points, the number of drone base station location demand points, the drone base station location candidate point set and the objective function, to ensure that the drone can perform the flight monitoring task normally and improve the efficiency of flood disaster monitoring.

[0068] Please refer to Figure 6 , Figure 6 This is a schematic diagram of the structure of a drone base station networking layout device provided by an embodiment of the present application. The device can implement all or part of the drone base station networking layout device through software, hardware, or a combination of both. The device 6 includes:

[0069] A map generation module 61 is used to obtain a watershed boundary map of the area to be laid out, and obtain a water resource zoning map and an administrative division map of the area to be laid out according to the watershed boundary map of the area to be laid out;

[0070] A map superposition module 62 is used to superimpose the water resource zoning map and the administrative division map of the area to be laid out, so as to construct a water resource zone-administrative division map of the area to be laid out;

[0071] The point acquisition module 63 is used to obtain a number of drone base station location demand points and a number of drone base station location candidate points in the water resource area set administrative area map of the area to be deployed;

[0072] The layout generation module 64 is used to input a number of drone base station location demand points and a number of drone base station location candidate points in the water resource zone administrative area map of the area to be laid out into a preset location set coverage model, obtain a number of drone base station location target points, and construct a drone base station network layout map of the area to be laid out.

[0073] In the embodiment of the present application, a watershed boundary map of the area to be laid out is obtained through a map generation module, and a water resource zoning map and an administrative division map of the area to be laid out are obtained according to the watershed boundary map of the area to be laid out; through a map superposition module, the water resource zoning map and the administrative division map of the area to be laid out are superimposed to construct a water resource zone set administrative zone map of the area to be laid out; through a point acquisition module, a number of drone base station location demand points and a number of drone base station location candidate points in the water resource zone set administrative zone map of the area to be laid out are obtained; through a layout generation module, a number of drone base station location demand points and a number of drone base station location candidate points in the water resource zone set administrative zone map of the area to be laid out are input into a preset position set coverage model to obtain a number of drone base station location target points, and a drone base station network layout map of the area to be laid out is constructed. Based on the drone base station location demand points and drone base station location candidate points in the constructed water resource zone set administrative zone map of the area to be laid out, a drone base station network layout map of the area to be laid out is constructed using a position set coverage model, which can achieve the establishment of the minimum number of drone base station location target points, meet all monitoring needs, and improve the efficiency of flood disaster monitoring.

[0074] Please refer to Figure 7 , Figure 7 The computer device 7 is a schematic diagram of a structure of a computer device provided in an embodiment of the present application. The computer device 7 includes: a processor 71, a memory 72, and a computer program 73 stored in the memory 72 and executable on the processor 71; the computer device may store a plurality of instructions, which are suitable for being loaded and executed by the processor 71. Figures 1 to 5 The method steps of the embodiment shown in the figure can be found in the specific execution process. Figures 1 to 5 The specific description of the illustrated embodiment will not be repeated here.

[0075] Among them, the processor 71 may include one or more processing cores. The processor 71 uses various interfaces and lines to connect various parts in the server, and executes various functions and processes data of the drone base station networking layout device 6 by running or executing instructions, programs, code sets or instruction sets stored in the memory 72, and calling the data in the memory 72. Optionally, the processor 71 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programble Logic Array, PLA). The processor 71 can integrate one or more combinations of a central processing unit 71 (Central Processing Unit, CPU), an image processor 71 (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the touch display; and the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 71, but implemented by a single chip.

[0076] Among them, the memory 72 may include a random access memory 72 (Random Access Memory, RAM), and may also include a read-only memory 72 (Read-Only Memory). Optionally, the memory 72 includes a non-transitory computer-readable storage medium. The memory 72 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 72 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch instructions, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 72 may also be optionally at least one storage device located away from the aforementioned processor 71.

[0077] The present application also provides a storage medium that can store multiple instructions, which are suitable for the processor to load and execute the above-mentioned Figures 1 to 5The method steps of the embodiment shown in the figure can be found in the specific execution process. Figures 1 to 5 The specific description of the illustrated embodiment will not be repeated here.

[0078] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0079] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0080] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraint algorithm of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0081] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0082] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0083] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0084] If the 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 this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc.

[0085] The present invention is not limited to the above-mentioned embodiments. If various changes or modifications to the present invention do not depart from the spirit and scope of the present invention, and if these changes and modifications fall within the scope of the claims and equivalent technologies of the present invention, the present invention is also intended to include these changes and modifications.

Claims

1. A method for configuring a drone base station network, characterized in that: The following steps are involved: Obtain a watershed boundary map of the area to be laid out, and obtain a water resource zoning map and an administrative division map of the area to be laid out based on the watershed boundary map of the area to be laid out; Superimposing the water resource zoning map and the administrative division map of the area to be laid out to construct a water resource zone-administrative division map of the area to be laid out; Obtaining a number of drone base station location demand points and a number of drone base station location candidate points in the water resource area set administrative area map of the area to be deployed; Several drone base station location demand points in the water resource zone administrative area map of the area to be deployed and several drone base station location candidate points are input into a preset location set coverage model to obtain several drone base station location target points, and a drone base station network layout map of the area to be deployed is constructed.

2. The method for configuring a drone base station network according to claim 1, characterized in that: The method of obtaining a watershed boundary map of the area to be laid out comprises the following steps: The digital elevation model data and geographic information data of the area to be laid out are obtained, and a hydrological analysis is performed based on the digital elevation model data and geographic information data of the area to be laid out to obtain a watershed boundary map of the area to be laid out.

3. The method for configuring a network of UAV base stations according to claim 2, characterized in that: The water resource area set administrative area map includes a number of patch areas; The step of obtaining a plurality of drone base station location demand points and a plurality of drone base station location candidate points in the water resource area set administrative area map of the area to be deployed comprises the following steps: Obtain the center points of several patch areas in the water resource area set administrative area map of the area to be laid out as the location demand points of the drone base station, and obtain several location demand points of the drone base station; Obtain the location parameters of several candidate points in the administrative area map of the water resource zone in the area to be laid out, obtain the distance parameters between several drone base station location demand points and several candidate points based on the location parameters of several drone base station location demand points and the location parameters of several candidate points, and extract several drone base station location candidate points from the several candidate points based on a preset first distance threshold.

4. The method for configuring a network of UAV base stations according to claim 3, characterized in that: The method comprises inputting a plurality of UAV base station location demand points and a plurality of UAV base station location candidate points in the water resource area set administrative area map of the area to be deployed into a preset location set coverage model, obtaining a plurality of UAV base station location target points, and constructing a UAV base station network layout map of the area to be deployed, including the steps of: Obtaining distance parameters between a plurality of the UAV base station location candidate points and a plurality of UAV base station location demand points, and according to a preset second distance threshold, obtaining a plurality of the UAV base station location candidate points whose distance parameters with all the UAV base station location demand points simultaneously satisfy the second distance threshold, and constructing a UAV base station location candidate point set; According to the plurality of drone base station location demand points, the plurality of drone base station location demand points, the drone base station location candidate point set and the objective function, a plurality of drone base station location target points are obtained, wherein the objective function is: In the formula, minf is the objective function, x i is a decision variable to indicate whether the i-th UAV base station location candidate point is selected, I is the total number of UAV base station location candidate points, N j is the set of candidate points of the UAV base station location corresponding to the jth UAV base station location demand point, and f is the total number of UAV base station location demand points.

5. The method for configuring a network of UAV base stations according to claim 4, characterized in that: The method of obtaining a plurality of drone base station location target points according to a plurality of drone base station location demand points, a plurality of drone base station location demand points, a drone base station location candidate point set and an objective function comprises the steps of: Obtaining drone performance data, wherein the drone performance data includes the drone flight range, the drone endurance, and the drone transmission signal distance; The drone performance data is used as a constraint condition, and a plurality of drone base station location target points are obtained according to the plurality of drone base station location demand points, the plurality of drone base station location demand points, the drone base station location candidate point set and the objective function.

6. A drone base station network layout device, characterized in that: include: A map generation module, used to obtain a watershed boundary map of the area to be laid out, and obtain a water resource zoning map and an administrative division map of the area to be laid out based on the watershed boundary map of the area to be laid out; A map superposition module, used to superimpose the water resource zoning map and the administrative division map of the area to be laid out, so as to construct a water resource zone-administrative division map of the area to be laid out; A point acquisition module is used to obtain a number of drone base station location demand points and a number of drone base station location candidate points in the water resource area set administrative area map of the area to be deployed; The layout generation module is used to input several drone base station location demand points and several drone base station location candidate points in the water resource zone administrative area map of the area to be laid out into a preset location set coverage model, obtain several drone base station location target points, and construct a drone base station network layout map of the area to be laid out.

7. A computer device, characterized in that: include: A processor, a memory, and a computer program stored in the memory and executable on the processor; when the computer program is executed by the processor, the steps of the method for network layout of UAV base stations as described in any one of claims 1 to 5 are implemented.

8. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by the processor, the steps of the drone base station network layout method as described in any one of claims 1 to 5 are implemented.

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