A method and device for sampling the flight coverage range of a vehicle-mounted unmanned aerial vehicle

Abstract

The application discloses a sampling method and device for flight coverage range of a vehicle-mounted unmanned aerial vehicle, and the method comprises the following steps: collecting historical flight distance data of a user in the use of the vehicle-mounted unmanned aerial vehicle; determining a mean value and a standard deviation of the flight distance of the vehicle-mounted unmanned aerial vehicle according to the historical flight distance data; determining a plurality of sampling ranges of the flight coverage range of the vehicle-mounted unmanned aerial vehicle according to the mean value and the standard deviation of the flight distance; sampling the flight distance in the plurality of sampling ranges according to a preset rule, and composing the flight coverage range according to all the flight distance data after sampling. The application solves the problem that the flight coverage range of the vehicle-mounted unmanned aerial vehicle is very limited in the prior art.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a sampling method and device for flight coverage range of a vehicle-mounted unmanned aerial vehicle. BACKGROUND

[0002] In order to use the vehicle-mounted voice assistant to perform voice control in a poor signal or no signal area such as a mountain area, the vehicle-mounted voice assistant needs to rely on offline voice instructions. The existing method is to store relevant vehicle-mounted unmanned aerial vehicle voice control instructions as offline instructions one by one in the local vehicle.

[0003] The local storage space of the vehicle is limited, so the number of local instructions is also very limited, which leads to a very small coverage range of the distance that the user can control the vehicle-mounted unmanned aerial vehicle to fly by voice. When some voice control application scenarios of the vehicle-mounted unmanned aerial vehicle involve a network-free environment, the usability will be greatly reduced. If the number of voice control instructions is expanded according to the existing method, the local storage space needs to be expanded, which will increase the cost and is not worth the loss. Therefore, the flight coverage range of the current vehicle-mounted unmanned aerial vehicle is still limited. SUMMARY

[0004] Therefore, the purpose of the present application is to provide a sampling method and device for flight coverage range of a vehicle-mounted unmanned aerial vehicle, which aims to solve the problem of limited flight coverage range of the vehicle-mounted unmanned aerial vehicle in the prior art.

[0005] The embodiment of the present application is implemented as follows:

[0006] A sampling method for flight coverage range of a vehicle-mounted unmanned aerial vehicle, the method comprising:

[0007] Collecting historical flight distance data of the vehicle-mounted unmanned aerial vehicle used by a user, and determining a mean value and a standard deviation of the flight distance of the vehicle-mounted unmanned aerial vehicle according to the historical flight distance data;

[0008] Determining a plurality of sampling ranges of the flight coverage range of the vehicle-mounted unmanned aerial vehicle according to the mean value and the standard deviation of the flight distance, respectively;

[0009] Sampling the flight distance in each of the plurality of sampling ranges according to a preset rule, and grouping all the flight distance data after sampling to form the flight coverage range.

[0010] Further, the sampling method for flight coverage range of a vehicle-mounted unmanned aerial vehicle, wherein the step of sampling the flight distance in each of the plurality of sampling ranges according to a preset rule, and grouping all the flight distance data after sampling to form the flight coverage range comprises:

[0011] Determining a distribution probability of the historical flight distance data distributed in each of the plurality of sampling ranges, respectively.

[0012] acquiring a set number of offline instructions, and determining a sampling number of the sampling range according to the set number and the distribution probability respectively;

[0013] determining a sampling interval according to the standard deviation of the flight distance and the sampling number, and determining the flight distance data in the sampling range according to the sampling number and the sampling interval.

[0014] Further, the sampling method of the flight coverage range of the vehicle-mounted unmanned aerial vehicle, wherein the step of acquiring a set number of offline instructions, and determining a sampling number of the sampling range according to the set number and the distribution probability respectively comprises:

[0015] acquiring a sum of all the distribution probabilities of the sampling range, and acquiring a ratio of the distribution probability of the current sampling range to the sum;

[0016] multiplying the ratio by the set number of offline instructions, and determining the sampling number of the sampling range by taking the integer part.

[0017] Further, the sampling method of the flight coverage range of the vehicle-mounted unmanned aerial vehicle, wherein the calculation formula of the sampling number is:

[0018] ;

[0019] wherein, is the sampling number of the Xth sampling range, is the distribution probability of the Xth sampling range, P is the sum of the distribution probabilities of the sampling range, and N is the set number of offline instructions.

[0020] Further, the sampling method of the flight coverage range of the vehicle-mounted unmanned aerial vehicle, wherein the calculation formula of the sampling interval is:

[0021] ;

[0022] wherein, is the standard deviation, is the sampling number of the Xth sampling range.

[0023] Further, the sampling method of the flight coverage range of the vehicle-mounted unmanned aerial vehicle, wherein the sampling range is:

[0024] ;

[0025] ;

[0026] ;

[0027] Wherein, μ is the mean of the flight distance of the vehicle-mounted UAV, is the standard deviation of the flight distance of the vehicle-mounted UAV.

[0028] Further, the sampling method of the flight coverage range of the vehicle-mounted UAV, wherein the method further comprises:

[0029] The flight distance data is bound with the offline instructions respectively, and the instructions bound with the flight data are stored in the local storage space of the vehicle.

[0030] Another object of the present application is to provide a sampling device of the flight coverage range of the vehicle-mounted UAV, which comprises:

[0031] The acquisition module is configured to acquire historical flight distance data of the vehicle-mounted UAV used by a user, and determine the mean and the standard deviation of the flight distance of the vehicle-mounted UAV according to the historical flight distance data;

[0032] The determination module is configured to determine a plurality of sampling ranges of the flight coverage range of the vehicle-mounted UAV according to the mean and the standard deviation of the flight distance respectively;

[0033] The composition module is configured to sample the flight distance in the plurality of sampling ranges according to a preset rule respectively, and compose the flight coverage range according to all the flight distance data after sampling.

[0034] Another object of the present application is to provide a readable storage medium having a computer program stored thereon, wherein the program is executed by a processor to implement the steps of the method according to any one of the above.

[0035] Another object of the present application is to provide 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 the above when executing the program.

[0036] The present application acquires the historical flight distance data of the vehicle-mounted UAV used by a user, determines the mean and the standard deviation of the flight distance of the vehicle-mounted UAV according to the historical flight distance data, determines a plurality of sampling ranges of the flight coverage range of the vehicle-mounted UAV according to the mean and the standard deviation of the flight distance respectively, samples the flight distance in the plurality of sampling ranges according to a preset rule respectively, and composes the flight coverage range according to all the flight distance data after sampling. Through the sampling of the data, the flight distance data for setting is more extensive and representative. In the case of limited local storage space, the flight coverage range of the vehicle-mounted UAV is maximized, and the problem of limited flight coverage range of the vehicle-mounted UAV in the prior art is solved. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 This is a flowchart of the sampling method for the flight coverage of the vehicle-mounted drone in the first embodiment of the present invention;

[0038] Figure 2 This is a structural block diagram of the sampling device for the flight coverage of a vehicle-mounted drone in the third embodiment of the present invention.

[0039] The following detailed description, in conjunction with the accompanying drawings, will further illustrate the present invention. Detailed Implementation

[0040] To facilitate understanding of the present invention, a more complete description will be given below with reference to the accompanying drawings. Several embodiments of the invention are illustrated in the drawings. However, the invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.

[0041] It should be noted that when a component is said to be "fixed to" another component, it can be directly on the other component or there may be an intervening component. When a component is said to be "connected to" another component, it can be directly connected to the other component or there may be an intervening component. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this document are for illustrative purposes only.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0043] Please see Figure 1 The diagram shows a schematic representation of a sampling system for the flight coverage of a vehicle-mounted drone according to an embodiment of the present invention. The system includes a vehicle-mounted intelligent voice system and a cloud server communicatively connected to the vehicle-mounted intelligent voice system.

[0044] The in-vehicle intelligent voice system receives voice commands from the user and identifies whether the command is in the preset command set, i.e., whether it can accurately provide feedback data. Moreover, even when the voice command is not in the preset command set, the system can be trained by the user through a predetermined process. The cloud server receives the training data and sends it to the corresponding in-vehicle intelligent voice system training system. It can also provide data to the user for training and provide positive feedback support. Technicians can learn from and process the training data, and maintain the training data and cloud data.

[0045] It should be noted that Figure 1 The illustrated structure does not constitute a limitation on the sampling system of the flight coverage range of the vehicle-mounted UAV, and in other embodiments, the sampling system of the flight coverage range of the vehicle-mounted UAV can include fewer or more components than the illustration, or combine certain components, or different component arrangements.

[0046] The following will be described in detail in combination with specific embodiments and the accompanying drawings how to reduce the limitations of the flight coverage range of the vehicle-mounted UAV.

[0047] Embodiment one

[0048] Please refer to Figure 1 , which is a sampling method of the flight coverage range of the vehicle-mounted UAV in the first embodiment of the application, and the method comprises steps S10-S12.

[0049] Step S10, collect the historical flight distance data of the user in using the vehicle-mounted UAV, and determine the mean and standard deviation of the flight distance of the vehicle-mounted UAV according to the historical flight distance data.

[0050] Among them, through investigation, it is found that the flight distance of the user in using the voice control of the vehicle-mounted UAV tends to be normally distributed, which indicates that the distance tends to be a certain relationship when the user flies the vehicle-mounted UAV, therefore, the data can be analyzed to determine the mean and standard deviation of the flight distance.

[0051] Step S11, respectively determine a plurality of sampling ranges of the flight coverage range of the vehicle-mounted UAV according to the mean and standard deviation of the flight distance.

[0052] Among them, after determining the mean and standard deviation of the flight distance, a plurality of sampling ranges of the flight coverage range can be determined, the sampling range is the interval of the flight distance data that needs to be sampled subsequently, specifically, in the embodiment of the application, 3 sampling ranges are set, which are:

[0053] ;

[0054] ;

[0055] ;

[0056] Among them, μ is the mean of the mean flight distance of the vehicle-mounted UAV, is the standard deviation of the flight distance of the vehicle-mounted UAV.

[0057] Step S12, respectively sample the flight distance in a plurality of sampling ranges according to a preset rule, and compose the flight coverage range according to all the flight distance data after sampling.

[0058] Wherein, in each sampling range, the flight distance is sampled respectively, and the sampled flight distance data is composed into the flight coverage range, since the sampling range determined by the standard deviation and the mean value basically covers the flight distance range, and the data sampled in the respective sampling ranges can well cover the flight distance data required by the user in daily life, thereby reducing the limitation of the flight coverage range.

[0059] In addition, in some optional embodiments of the present application, the method further comprises:

[0060] The flight distance data is bound with the offline instructions respectively, and then the instructions bound with the flight data are stored in the local storage space of the vehicle.

[0061] Specifically, the flight distance data is stored in the local of the vehicle machine one by one as offline instructions, and the number of offline instructions does not change, but the flight distance of the offline instructions is more reasonably set, and the flight coverage range is improved.

[0062] In summary, the flight coverage range sampling method of the vehicle-mounted unmanned aerial vehicle in the above-mentioned embodiments of the present application collects the historical flight distance data of the user using the vehicle-mounted unmanned aerial vehicle, determines the mean value and the standard deviation of the flight distance of the vehicle-mounted unmanned aerial vehicle according to the historical flight distance data, determines a plurality of sampling ranges of the flight coverage range of the vehicle-mounted unmanned aerial vehicle according to the mean value and the standard deviation of the flight distance, respectively samples the flight distance in the plurality of sampling ranges according to a predetermined rule, and composes the flight coverage range according to all the sampled flight distance data. By sampling the data, the flight distance data used for setting is more extensive and representative. In the case of limited local storage space, the flight coverage range controlled by the vehicle-mounted unmanned aerial vehicle is maximized, and the problem of limited flight coverage range of the vehicle-mounted unmanned aerial vehicle in the prior art is solved.

[0063] Embodiment two

[0064] The present embodiment also proposes a flight coverage range sampling method of a vehicle-mounted unmanned aerial vehicle. The flight coverage range sampling method of the vehicle-mounted unmanned aerial vehicle in the present embodiment is different from the flight coverage range sampling method of the vehicle-mounted unmanned aerial vehicle in embodiment one in that:

[0065] Step S12 comprises:

[0066] The distribution probability of the historical flight distance data distributed in the plurality of sampling ranges is determined respectively;

[0067] The set number of offline instructions is obtained, and the sampling number of the sampling range is determined according to the set number and the distribution probability respectively;

[0068] The sampling interval is determined according to the standard deviation of the flight distance and the number of samples, and the flight distance data in the sampling range is determined by sampling in the sampling range according to the number of samples and the sampling interval.

[0069] The distribution probability of each sampling range is determined first, and the number of samples of each sampling range is determined according to the distribution probability and the set number of the offline instruction, so that the sampling is more reasonable. Further, the sampling interval is determined by the standard deviation and the number of samples, so that the required flight distance data can be obtained from the sampling range.

[0070] Specifically, the calculation formula of the number of samples is:

[0071] ;

[0072] Wherein, is the number of samples of the Xth sampling range, is the distribution probability of the Xth sampling range, P is the sum of the distribution probability of the sampling range, and N is the set number of the offline instruction.

[0073] That is, the sum of the distribution probability of all sampling ranges is obtained, the ratio of the distribution probability of the current sampling range to the sum is obtained; the number of samples of the sampling range is determined by multiplying the ratio with the set number of the offline instruction and taking the integer part.

[0074] The calculation formula of the sampling interval is:

[0075] ;

[0076] Wherein, is the standard deviation, is the number of samples of the Xth sampling range.

[0077] Taking the range ( , ), , for example, the probabilities distributed in the range ( , ), , are p1, p2, and p3 respectively. If the original offline voice control unmanned aerial vehicle flight distance instruction has N instructions, the maximum controllable flight distance is M1, the number of samples N1 in the range ( , ) is , and the sampling interval is . Similarly, the number of samples N2 in the range ( ) is , and the sampling interval is ; the number of samples N3 in the range ( ) is , the sampling interval is .

[0078] At this time, the offline voice control unmanned aerial vehicle flight distance instruction is still within N, and the controllable flight distance is expanded from M1 to M2. .

[0079] In summary, the sampling method of the flight coverage range of the vehicle-mounted unmanned aerial vehicle in the above embodiment of the application, by collecting historical flight distance data of the user using the vehicle-mounted unmanned aerial vehicle, determining the mean and standard deviation of the flight distance of the vehicle-mounted unmanned aerial vehicle according to the historical flight distance data; determining a plurality of sampling ranges of the flight coverage range of the vehicle-mounted unmanned aerial vehicle according to the mean and standard deviation of the flight distance; sampling the flight distance in the plurality of sampling ranges according to a preset rule, and forming the flight coverage range according to all the flight distance data after sampling, by sampling the data, the flight distance data for setting is more extensive and representative, in the case of limited local storage space, the flight coverage range of the vehicle-mounted unmanned aerial vehicle is maximized, solving the problem that the flight coverage range of the vehicle-mounted unmanned aerial vehicle is very limited in the prior art.

[0080] Embodiment three

[0081] Please refer to Figure 2 , which is a sampling device for the flight coverage range of a vehicle-mounted unmanned aerial vehicle according to a third embodiment of the application, the device comprises:

[0082] The acquisition module 100 is used for collecting historical flight distance data of the user using the vehicle-mounted unmanned aerial vehicle, and determining the mean and standard deviation of the flight distance of the vehicle-mounted unmanned aerial vehicle according to the historical flight distance data;

[0083] The determination module 200 is used for determining a plurality of sampling ranges of the flight coverage range of the vehicle-mounted unmanned aerial vehicle according to the mean and standard deviation of the flight distance;

[0084] The composition module 300 is used for sampling the flight distance in the plurality of sampling ranges according to a preset rule, and forming the flight coverage range according to all the flight distance data after sampling.

[0085] Further, the sampling device for the flight coverage range of the vehicle-mounted unmanned aerial vehicle, wherein the composition module comprises:

[0086] The determination unit is used for determining the distribution probability of the historical flight distance data distributed in the plurality of sampling ranges;

[0087] The acquisition unit is used for acquiring the set number of offline instructions, and determining the sampling number of the sampling range according to the set number and the distribution probability;

[0088] a component configured to determine a sampling interval based on the standard deviation of the flight distances and the number of samples, and determine flight distance data in the sampling range based on the number of samples and the sampling interval.

[0089] Further, the sampling device for flight coverage range of the vehicle-mounted UAV, wherein the obtaining unit is specifically configured to:

[0090] obtain a sum of distribution probabilities of all the sampling ranges, and obtain a ratio of the distribution probability of the current sampling range to the sum;

[0091] multiply the ratio by the set number of the offline instruction, and determine the number of samples in the sampling range by taking the integer part.

[0092] Further, the sampling device for flight coverage range of the vehicle-mounted UAV, wherein the calculation formula of the number of samples is:

[0093] ;

[0094] wherein, is the number of samples in the Xth sampling range, is the distribution probability of the Xth sampling range, P is a sum of distribution probabilities of sampling ranges, and N is a set number of offline instructions.

[0095] Further, the sampling device for flight coverage range of the vehicle-mounted UAV, wherein the calculation formula of the sampling interval is:

[0096] ;

[0097] wherein, is the standard deviation, is the number of samples in the Xth sampling range.

[0098] Further, the sampling device for flight coverage range of the vehicle-mounted UAV, wherein the sampling range is:

[0099] ;

[0100] ;

[0101] ;

[0102] wherein, μ is a mean value of flight distances of the vehicle-mounted UAV, is a standard deviation of flight distances of the vehicle-mounted UAV.

[0103] Further, the sampling device for flight coverage range of the vehicle-mounted UAV, wherein the device further comprises:

[0104] a binding module, configured to bind the flight distance data respectively with offline instructions, and then store the instructions of binding the flight data to a local storage space of the vehicle.

[0105] The functions or operation steps realized when the above modules are executed are substantially the same as those of the above method embodiments, and thus will not be described herein.

[0106] Embodiment Four

[0107] Another aspect of the present application further provides a readable storage medium, which stores a computer program, and the program realizes the steps of the method according to any one of the above embodiments one to two when executed by a processor.

[0108] Embodiment Five

[0109] Another aspect of the present application further provides an electronic device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor realizes the steps of the method according to any one of the above embodiments one to two when executing the program.

[0110] The technical features of each of the above embodiments can be combined in any manner, and for the sake of brevity, not all possible combinations of the technical features in the above embodiments are described, however, as long as the combination of the technical features does not exist contradictions, it should be considered as the scope of the present application.

[0111] Those skilled in the art can understand that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a list of executable instructions for realizing the logic function, which can be embodied in any computer readable storage medium for use by or in connection with an instruction execution system, apparatus or device, such as a computer-based system, a system including a processor or other system that can fetch instructions from the instruction execution system, apparatus or device and execute the instructions, or in conjunction with these instruction execution systems, apparatus or devices. For the present specification, the "computer readable storage medium" can be any device that can contain, store, communicate, propagate or transport programs for use by or in connection with an instruction execution system, apparatus or device, or in conjunction with these instruction execution systems, apparatus or devices.

[0112] More specific examples (a non-exhaustive list) of the computer-readable storage medium include the following: an electrical connection having one or more wires (electrical, optical, and the like) a portable computer diskette (magnetic, or optical, e.g., Blu-ray® disk, etc.) a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CDROM). Additionally, the computer readable storage medium can even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, for instance via an optical scanner, then compiled, interpreted, or otherwise processed, using an appropriate medium, into a computer program in a suitable language.

[0113] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the embodiments described above, various steps or methods can be implemented, for example, by software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, and in another embodiment, any of the following techniques, which are well known in the art, can be used to implement the application: a hybrid of the techniques mentioned above; a combination of one or more of the techniques mentioned above; or one or more other techniques suitable for use in the computer hardware devices described above.

[0114] In the description of the specification, the description of the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the application. In the specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in one or more embodiments or examples.

[0115] The above-described embodiments only express several implementation manners of the present application, which are described in a more specific and detailed manner, but cannot be understood as a limitation on the patent scope of the present application. It should be noted that, for those skilled in the art, several modifications and improvements can be made without departing from the concept of the present application, which are all within the protection scope of the present application. Therefore, the patent protection scope of the present application should be subject to the appended claims.

Claims

1. A method for sampling the flight coverage area of ​​a vehicle-mounted unmanned aerial vehicle (UAV), characterized in that, The method includes: Collect historical flight distance data of users using vehicle-mounted drones, and determine the mean and standard deviation of the flight distance of the vehicle-mounted drones based on the historical flight distance data; Multiple sampling ranges for the flight coverage of the vehicle-mounted UAV are determined based on the mean and standard deviation of the flight distance. According to preset rules, aircraft distances are sampled in multiple sampling ranges, and the flight coverage range is formed based on all the sampled flight distance data. The step of sampling aircraft distances within multiple sampling ranges according to preset rules, and assembling the flight coverage area based on all sampled flight distance data, includes: The distribution probability of the historical flight distance data within each of the multiple sampling ranges is determined respectively; Obtain a set number of offline instructions, and determine the number of samples in the sampling range based on the set number and the distribution probability, respectively. The sampling interval is determined based on the standard deviation of the flight distance and the number of samples, and the flight distance data within the sampling range is determined by sampling within the sampling range based on the number of samples and the sampling interval. The steps of acquiring a set number of offline instructions and determining the number of samples in the sampling range based on the set number and the probability distribution include: Obtain the sum of the probability distributions of all the sampling ranges, and obtain the ratio of the probability distribution of the current sampling range to the sum; The number of samples in the sampling range is determined by multiplying the ratio by the set number of offline instructions and then rounding down.

2. The sampling method for the flight coverage area of ​​a vehicle-mounted unmanned aerial vehicle according to claim 1, characterized in that, The formula for calculating the number of samples is: ； in, For the first x Number of samples in each sampling range For the first x The probability distribution of each sampling range. P The sum of the probability distributions of the sampling range. N Set the number of offline commands.

3. The sampling method for the flight coverage area of ​​a vehicle-mounted unmanned aerial vehicle according to claim 1, characterized in that, The formula for calculating the sampling interval is: ； in, Standard deviation, For the first x Number of samples in each sampling range.

4. The sampling method for the flight coverage area of ​​a vehicle-mounted UAV according to claim 1, characterized in that, The sampling range is: ； ； ； in, μ The mean is the average flight distance of the vehicle-mounted drone. Let be the standard deviation of the flight distance of the vehicle-mounted UAV.

5. The sampling method for the flight coverage area of ​​a vehicle-mounted unmanned aerial vehicle according to any one of claims 1 to 4, characterized in that, The method further includes; The flight distance data is bound to offline commands, and then the offline commands bound to the flight distance data are stored in the vehicle's local storage space.

6. A sampling device for the flight coverage area of ​​a vehicle-mounted unmanned aerial vehicle, characterized in that, The apparatus for sampling the flight coverage area of ​​the vehicle-mounted UAV as described in claim 1 includes: The data acquisition module is used to collect historical flight distance data of users using vehicle-mounted drones, and to determine the mean and standard deviation of the flight distance of the vehicle-mounted drone based on the historical flight distance data. The determination module is used to determine multiple sampling ranges of the flight coverage area of ​​the vehicle-mounted UAV based on the mean and standard deviation of the flight distance. The component module is used to sample aircraft distances within multiple sampling ranges according to preset rules, and to assemble the flight coverage range based on all the sampled flight distance data.

7. A storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method as described in any one of claims 1 to 5.

8. A vehicle, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, implements the steps of the method as described in any one of claims 1 to 5.

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