WO2020143676A1

WO2020143676A1 - Unmanned aerial vehicle data processing method and apparatus, device and storage medium

Info

Publication number: WO2020143676A1
Application number: PCT/CN2020/070951
Authority: WO
Inventors: 黄欣
Original assignee: 深圳市道通智能航空技术有限公司
Priority date: 2019-01-08
Filing date: 2020-01-08
Publication date: 2020-07-16
Also published as: CN109712271A

Abstract

A method and apparatus for processing data of an unmanned aerial vehicle (410), and a computer device (12), and a storage medium, wherein same can realize the restoration of a working site and the whole-process analysis and playback of a working process, and can realize the guidance of a flying operation by means of a big data statistical prediction function, thereby improving operation efficiency, and reducing complex operation steps. The method comprises: obtaining onboard data of an unmanned aerial vehicle (410) when same is in a working state (S110, S120); obtaining image information and geographical location information collected by the unmanned aerial vehicle (410) when same is in the working state (S120, S220); and playing back a working process of the unmanned aerial vehicle (410) by means of graph visualization and according to the onboard data, the image information and the geographical location information (S130, S230).

Description

UAV data processing method, device, equipment and storage medium

Technical field

Embodiments of the present invention relate to UAV technology, and in particular, to a UAV data processing method, device, equipment, and storage medium.

Background technique

With the rise of UAV technology, more and more fields of technology have been accompanied by the development of UAVs. Correspondingly, a large amount of data needs to be analyzed and processed on UAVs and peripheral components. The traditional data analysis of unmanned aerial vehicles is mainly to save the original airborne data in a unified backup, and finally make a manual analysis and judgment and give a conclusion. The first analysis process is not intuitive enough, and the analysis efficiency is extremely low; the second analysis result is not standardized, and different analysts will have different analysis results, so they cannot objectively reflect the actual results; third, the analysis method cannot The dynamic display of the detailed information of the UAV during the entire flight process; therefore, a comprehensive record analysis system has been produced in response to the needs of the times, and more and more visual data playback systems have emerged.

Although there are many flight visualization data playback systems, there are still many shortcomings, and there is no comprehensive visualization system that can be adjusted in real time in all directions. Many design research institutes, enterprises, and units design flight visualization data playback systems, which can indeed dynamically display the basic information of the entire flight process, such as control instructions, drone attitude, flight mode, and fault warning. The analysis data is also more objective and scientific; but The system cannot ultimately locate the cause of the UAV’s failure, nor can it provide users or institutions with better solutions for improvement, nor can it count the number of similar cases. In short, the existing technology does not have the statistical analysis function of big data, nor can it provide users with better quality services, nor can it provide more valuable functions to enterprises or institutions.

Summary of the invention

The embodiments of the present invention provide a UAV data processing method, device, equipment, and storage medium to realize the restoration of the work site, the analysis and playback of the whole process of the work process, and the guidance of flight operations through the statistical prediction function of big data to improve the operation efficiency and reduce Complex operation steps.

In a first aspect, an embodiment of the present invention provides a data processing method for a drone, including:

Obtaining airborne data when the drone is in working state;

Obtain the image information and geographic location information collected when the drone is in working state;

According to the airborne data, image information, and geographic location information, use graphical visualization to replay the working process of the UAV.

Further, the airborne data includes at least one of the following:

Sensor raw data, temperature information, battery information, attitude information, position information, GPS information, and feedback information of the implementing components.

Further, the image information includes at least one of video and images collected when the drone is in a working state.

Further, the method further includes:

When the drone is connected to the flight control center, the flight test data of the drone is sent to the flight control center, where the flight test data includes at least one of the following:

Flight instructions, flight modes, drone attitude, position information, flight range, drone number and flight time;

Analyze the flight test data to obtain the user's usage habits of the drone.

Further, before the analyzing the flight test data to obtain the user's usage habits of the drone, the method further includes:

Determine whether the flight control center is connected to the Internet;

If yes, upload the flight test data to the cloud.

Further, the method further includes:

If the flight control center is not connected to the Internet, the flight test data is packaged and stored in the flight control center.

Further, after playing back the working process of the drone using graphical visualization based on the airborne data, image information, and geographic location information, the method further includes:

Obtain the airborne data modified by the user, and encapsulate the airborne data modified by the user to obtain an executable file;

The executable file is stored in at least one drone, so that the at least one drone performs clustering, orderly, or repeatable flight according to the executable file.

In a second aspect, an embodiment of the present invention also provides a drone data processing device, which includes:

The first acquisition module is used to acquire airborne data when the drone is in a working state;

The second acquisition module is used to acquire the image information and geographic location information collected when the drone is in the working state;

A playback module is used to playback the working process of the drone using a graphical visualization method based on the airborne data, video images, and flight path data.

Further, the airborne data includes at least one of the following:

Further, the device further includes:

A sending module, configured to send flight test data of the drone to the flight control center when the drone is connected to the flight control center, wherein the flight test data includes at least one of the following : Flight instructions, flight modes, drone attitude, position information, flight range, drone number and flight time;

The analysis module is used to analyze the flight test data to obtain the user's usage habits of the drone.

Further, the device further includes:

The judgment module is used to judge whether the flight control center is connected to the Internet;

An upload module is used to upload the flight test data to the cloud when the flight control center is connected to the Internet.

Further, the device further includes:

The storage module is configured to package and store the flight test data in the flight control center when the flight control center is not connected to the Internet.

Further, the device further includes:

A third obtaining module, configured to obtain the on-board data modified by the user, and encapsulate the on-board data modified by the user to obtain an executable file;

The execution module is configured to store the executable file in at least one unmanned aerial vehicle, so that the at least one unmanned aerial vehicle can perform cluster, orderly, or repeatable flight according to the executable file.

In a third aspect, an embodiment of the present invention further provides a drone system, including at least one drone and a terminal device communicatively connected to the at least one drone, characterized in that the terminal device is used to:

Acquiring airborne data when the at least one UAV is in a working state;

Acquiring image information and geographic location information collected when the at least one UAV is in a working state;

According to the airborne data, the image information, and the geographic location information, the working process of the at least one drone is played back in a graphical visualization manner.

Further, the airborne data includes at least one of the following:

Further, the image information includes at least one of video and images collected when the at least one UAV is in a working state.

Further, the UAV system also includes a cloud wirelessly connected to the terminal device, then:

When the at least one drone is connected to the terminal device, the terminal device is also used to obtain flight test data of the at least one drone, where the flight test data includes at least one of the following :

The cloud is used to analyze the flight test data to obtain the user's habits of using the drone.

Further, when the terminal device is connected to the Internet, the terminal device is also used to upload the flight test data to the cloud.

Further, when the terminal device is not connected to the Internet, the terminal device is also used to package and store the flight test data.

Further, the terminal device is also used for:

The executable file is stored in the at least one drone, so that the at least one drone performs clustering, orderly, or repeatable flight according to the executable file.

According to a fourth aspect, an embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor executes the program to implement the present invention. In any of the embodiments, the UAV data processing method is described.

According to a fifth aspect, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the UAV data processing described in any of the embodiments of the present invention can be implemented method.

The embodiment of the present invention obtains the airborne data when the drone is in the working state; obtains the image information and geographic location information collected when the drone is in the working state; according to the airborne data, image information, and geographic information The position information can be played back in a graphical visualization to the working process of the drone, which can realize the restoration of the work site, the whole process of analysis and playback of the working process, and the use of big data statistical prediction function to guide flight operations, improve operation efficiency, and reduce complicated operation steps.

BRIEF DESCRIPTION

In order to more clearly explain the technical solutions of the embodiments of the present invention, the drawings required in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention, and therefore do not It should be regarded as a limitation on the scope. For those of ordinary skill in the art, without paying any creative labor, other related drawings can also be obtained based on these drawings.

FIG. 1 is a flowchart of a method for processing data of a drone in Embodiment 1 of the present invention;

2A is a flowchart of a UAV data processing method in Embodiment 2 of the present invention;

2B is a flowchart of a UAV data processing solution in Embodiment 2 of the present invention;

3 is a schematic structural diagram of a UAV data processing device in Embodiment 3 of the present invention;

4 is a schematic structural diagram of a drone system in Embodiment 4 of the present invention;

5 is a schematic structural diagram of a computer device in Embodiment 5 of the present invention.

detailed description

The present invention will be further described in detail below with reference to the drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. In addition, it should be noted that, in order to facilitate description, the drawings only show parts but not all structures related to the present invention.

It should be noted that similar reference numerals and letters indicate similar items in the following drawings, therefore, once an item is defined in one drawing, there is no need to further define and explain it in subsequent drawings. Meanwhile, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

Example one

FIG. 1 is a flowchart of a drone data processing method according to Embodiment 1 of the present invention. This embodiment can be applied to the case of UAV data processing. The method can be performed by the UAV data processing in the embodiment of the present invention. The device is executed. The device may be implemented in software and/or hardware. As shown in FIG. 1, the method specifically includes the following steps:

S110. Acquire airborne data when the drone is in a working state.

Wherein, the airborne data is data information for each operation of the UAV.

Optionally, the onboard data includes: raw sensor data, temperature information, battery information, attitude information, position information, GPS information, and feedback information of the execution component.

Wherein, the execution component refers to the power unit of the UAV, and the power unit generally includes a motor and a propeller.

Wherein, the drone is in a working state refers to a state when the drone is operating.

Specifically, acquiring the airborne data during the operation of the drone may be, for example, acquiring raw sensor data, temperature information, battery information, attitude information, position information, GPS information, and feedback information of the execution component during the operation of the drone.

S120. Acquire image information and geographic location information collected when the drone is in a working state.

The image information includes video images and pictures collected by the camera on the drone.

Wherein, the geographic location information is data collected by GPS on the UAV.

Specifically, the image information and geographic location information collected when the drone is in working state can be obtained, for example, when the drone is in working state, the camera set on the drone is turned on, and the video set on the drone is used to collect video Image, through the GPS set in the drone to collect the geographic location information of the drone.

S130: Use graphic visualization to play back the working process of the UAV based on airborne data, image information, and geographic location information.

Among them, visualization is the theory, method and technology of using computer graphics and image processing technology to convert data into graphics or images and display them on the screen, and perform interactive processing.

Among them, the graphic visualization method is a method that can be displayed in a form that is intuitively visible to the user, such as graphics, charts, or videos.

Specifically, based on the airborne data, image information, and geographic location information, the graphical process is used to play back the working process of the drone, for example, the saved airborne data can be superimposed on the image information and then the geographic location information can be superimposed to restore the first operation. On-site, to realize the analysis and playback of the entire flight operation information.

In the technical solution of this embodiment, by acquiring airborne data when the drone is in working state; acquiring image information and geographic location information collected when the drone is in working state; based on the airborne data and images The information and geographic location information can be played back in a graphical visualization manner to the working process of the UAV, so that the work site can be restored, and the whole process of the working process can be analyzed and played back.

Example 2

FIG. 2A is a flowchart of a method for data processing of a drone in Embodiment 2 of the present invention. This embodiment is optimized based on the above embodiment. In this embodiment, according to the airborne data, image information, and After the geographic location information is played back in a graphical visualization manner to the working process of the drone, the method further includes: acquiring airborne data modified by the user, and encapsulating the airborne data modified by the user to obtain an executable file; The executable file is stored in at least one drone, so that the at least one drone performs an orderly flight according to the executable file.

As shown in FIG. 2A, the method of this embodiment specifically includes the following steps:

S210. Acquire airborne data when the drone is in a working state.

S220. Acquire image information and geographic location information collected when the drone is in a working state.

S230, according to the airborne data, image information, and geographic location information, a graphical visualization method is used to playback the working process of the drone.

S240: Obtain the airborne data modified by the user, and encapsulate the airborne data modified by the user to obtain an executable file.

Among them, the way to obtain the airborne data modified by the user may be to compare the work process of the playback drone with the work process of the target drone stored in advance, and modify the airborne data according to the comparison result. The embodiments of the invention do not limit this.

Wherein, the executable file is a file executable by the drone.

Specifically, the modified airborne data is obtained, and the modified airborne data is encapsulated to obtain an executable file. For example, the saved airborne data can be superimposed on the video image data and finally the flight trajectory data can be superimposed on the software. On-line dynamic playback, for users to analyze whether the data reaches the expected target, and how far away from the expected target, so that the user can adjust the next action, save and package the adjusted airborne data into a file that the drone can execute, according to the user's needs Upload the file to the flight control center.

S250: Store the executable file in at least one unmanned aerial vehicle, so that the at least one unmanned aerial vehicle performs orderly flight according to the executable file.

Specifically, the executable file is stored in the at least one drone, so that the at least one drone performs orderly flight according to the executable file. For example, the saved onboard data can be manually modified and finally packaged into a file that the aircraft can execute, and finally the file is uploaded to the flight control center. If each drone imports a preset executable flight file Then, each drone will fly in an orderly manner according to the plan in the execution document. At this time, the purpose of the UAV group formation performance can be achieved.

Optionally, the image information includes at least one of video and images collected when the drone is in a working state.

Optionally, the method further includes:

When the drone is connected to the flight control center, flight test data of the drone is sent to the flight control center, where the flight test data includes at least one of the following:

Analyze the flight test data to obtain the user's usage habits of the drone.

Among them, the flight control center includes at least one of a ground station or an APP.

Optionally, before the analyzing the flight test data to obtain the user's usage habits of the drone, the method further includes:

Determine whether the flight control center is connected to the Internet;

If yes, upload the flight test data to the cloud.

Optionally, the method further includes:

The embodiment of the present invention uploads the airborne data in the working process of the drone to the cloud, monitors and analyzes in real time, and synchronously backs up and saves the corresponding data information for later statistical analysis of the data, preventing the data from being traced and analyzed when the UAV has problems; Control commands, fault alarms, raw sensor data, temperature information, battery information, attitude information, position information, GPS information, feedback information of the execution components, etc. during the operation of the drone are packaged and saved synchronously; this flight operation is finally formed Electronic reports, and use graphic visualization to return to the entire working process of the UAV, that is, the flight process. The saved airborne data is superimposed on the video image data, and finally the flight trajectory data is superimposed, which is dynamically played on the software for the user to analyze whether the data reaches the expected target and how far away from the expected target, so that the user can adjust the next action; The data is saved and packaged into a file that can be executed by the drone, and the file is uploaded to the flight control center according to the user's needs, so that the same task can be performed on different drones, and it is convenient to count the laws of operations under this flight task, and then To achieve product industrialization. The saved airborne data can be manually modified and finally packaged into a file that the aircraft can execute, and finally the file is uploaded to the flight control center to achieve the lowest cost UAV formation performance item.

In a specific example, as shown in FIG. 2B, the airborne data information (sensor raw data, temperature information, battery information, attitude information, position information, GPS information, feedback information of the execution component) when the drone is working will follow The operation of the drone changes and changes. Therefore, the data information of the drone is synchronized and stored locally in the drone during each operation. This data is simply referred to as airborne data. Among them, the airborne data can be manually modified to modify the data generated during the flight, and finally generate an executable file that can be recognized by the drone. The execution file can superimpose the video image information and flight trajectory data of this operation on the playback software to realize the restoration of the first operation site, and realize the analysis and playback of the entire flight operation information. In addition to automatically generating airborne data during drone operation, the system will also automatically pass important flight instructions, flight modes, drone attitude, position information, flight range, drone number, flight time, etc. in the airborne data The radio station sends the data to the flight control center (the data sent to the flight control center is referred to as experimental data). When the flight control center is connected to the Internet, it will automatically package and upload the received data to the cloud. The data on the cloud will be processed in a unified manner, and finally realize the visual display of the basic information of the drone, the number of users, flight habits, etc., and then realize the analysis and visualization of the user usage on the data cloud, and dig deeper into the user's usage habits. To achieve a closed loop between products and users. Import the executable file of the drone generated above into the flight control center, so that tens of thousands of drones can perform the same flight tasks, improve product reliability, and ensure product quality. The focus of the embodiments of the present invention is not only that the airborne data can be dynamically played back, but also that the airborne data can be modified and packaged into a file executable by the drone. If each drone imports a preset executable flight file, then each drone will carry out an orderly flight according to the scheme in the execution file. At this time, the purpose of the UAV group formation performance can be achieved .

The embodiment of the invention realizes the lowest cost, highest efficiency and simplest UAV formation performance; realizes the shortest product development cycle and the highest output project; realizes the analysis and visualization of user usage on the data cloud to dig deeper users Use habits to achieve a closed loop between the product and the user; it can accurately determine whether the expected target is reached and how far it is from the expected target, so that the user can adjust the next action and quickly and intuitively display the expected flight results to the user. Manually set the flight mission and manually modify the mission parameters. After the modification is completed, import the software for simulation. After the simulation verification is passed, the iterative release of the version can be foreseen in advance, and the product development efficiency can be greatly improved.

The technical solution of this embodiment is to obtain the airborne data of the drone when the drone is in the working state; obtain the video image and flight trajectory data collected when the drone is in the working state; according to the Airborne data, video images and flight trajectory data use graphic visualization methods to play back the working process of the UAV, which can realize the restoration of the work site, the entire analysis and playback of the working process, and the use of big data statistical prediction function to guide flight operations and improve operations Efficiency, reduce complicated operation steps.

Example Three

3 is a schematic structural diagram of a UAV data processing device according to Embodiment 3 of the present invention. This embodiment can be applied to the case of UAV data processing. The device can be implemented in software and/or hardware. The device can be integrated in any device that provides the function of UAV data processing, as shown in FIG. 3 The UAV data processing device specifically includes: a first acquisition module 310, a second acquisition module 320, and a playback module 330.

Among them, the first obtaining module 310 is used to obtain airborne data when the drone is in a working state;

The second obtaining module 320 is used to obtain image information and geographic location information collected when the drone is in a working state;

The playback module 330 is configured to playback the working process of the drone using a graphical visualization method according to the airborne data, image information, and geographic location information.

Optionally, the onboard data includes at least one of the following: raw sensor data, temperature information, battery information, attitude information, position information, GPS information, and feedback information of the execution component.

Optional, also includes:

Optionally, the device also includes:

Optional, also includes:

The above-mentioned products can execute the method provided by any embodiment of the present invention, and have corresponding function modules and beneficial effects of the execution method.

Example 4

FIG. 4 is a schematic structural diagram of a drone system according to Embodiment 4 of the present invention. As shown in FIG. 4, the drone system includes at least one drone 410 and a terminal device 420 communicatively connected to the at least one drone 410, characterized in that the terminal device 420 is used to:

Acquiring airborne data when the at least one UAV is in a working state;

Optionally, the airborne data includes at least one of the following:

Optionally, the image information includes at least one of video and images collected when the at least one drone is in a working state.

Optionally, the drone system further includes a cloud wirelessly connected to the terminal device, then:

Optionally, when the terminal device is connected to the Internet, the terminal device is also used to upload the flight test data to the cloud.

Optionally, when the terminal device is not connected to the Internet, the terminal device is also used to package and store the flight test data.

Optionally, the terminal device is also used for:

Example 5

5 is a schematic structural diagram of a computer device in Embodiment 5 of the present invention. FIG. 5 shows a block diagram of an exemplary computer device 12 suitable for implementing embodiments of the present invention. The computer device 12 shown in FIG. 5 is only an example, and should not bring any limitation to the functions and use scope of the embodiments of the present invention.

As shown in FIG. 5, the computer device 12 is represented in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to, one or more processors or processing units 16, a system memory 28, and a bus 18 connecting different system components (including the system memory 28 and the processing unit 16).

The bus 18 represents one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of a variety of bus structures. For example, these architectures include, but are not limited to, industry standard architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and peripheral component interconnection ( PCI) bus.

The computer device 12 typically includes a variety of computer system readable media. These media may be any available media that can be accessed by the computer device 12, including volatile and nonvolatile media, removable and non-removable media.

The system memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and/or cache memory 32. The computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. Merely by way of example, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media (not shown in FIG. 5 and is commonly referred to as a "hard disk drive"). Although not shown in FIG. 5, a disk drive for reading and writing to a removable non-volatile disk (eg, "floppy disk"), and a removable non-volatile optical disk (eg, CD-ROM, DVD-ROM) may be provided Or other optical media) read and write optical disc drive. In these cases, each drive may be connected to the bus 18 through one or more data medium interfaces. The memory 28 may include at least one program product having a set of (eg, at least one) program modules configured to perform the functions of various embodiments of the present invention.

A program/utility tool 40 having a set of (at least one) program modules 42 may be stored in, for example, the memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, and other programs Modules and program data, each of these examples or some combination may include the implementation of the network environment. The program module 42 generally performs the functions and/or methods in the embodiments described in the present invention.

The computer device 12 may also communicate with one or more external devices 14 (such as a keyboard, pointing device, display 24, etc.), and may also communicate with one or more devices that enable a user to interact with the computer device 12, and/or with This allows the computer device 12 to communicate with any device (such as a network card, modem, etc.) that communicates with one or more other computing devices. This communication can be performed through an input/output (I/O) interface 22. In addition, in the computer device 12 of this embodiment, the display 24 does not exist as an independent individual, but is embedded in the mirror surface. When the display surface of the display 24 is not displayed, the display surface of the display 24 and the mirror surface are visually integrated. Moreover, the computer device 12 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and/or a public network, such as the Internet) through the network adapter 20. As shown, the network adapter 20 communicates with other modules of the computer device 12 via the bus 18. It should be understood that although not shown in the figure, other hardware and/or software modules may be used in conjunction with the computer device 12, including but not limited to: microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive And data backup storage system.

The processing unit 16 executes various functional applications and data processing by running the program stored in the system memory 28, for example, to implement the UAV data processing method provided by the embodiment of the present invention: acquiring when the drone is in a working state Airborne data; obtain image information and geographic location information collected when the drone is in working state; use graphical visualization methods to play back the working process of the drone based on the airborne data, image information, and geographic location information .

Example Six

Embodiment 6 of the present invention provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, an unmanned aerial vehicle data processing method as provided in all the embodiments of the present invention is implemented: acquiring the Airborne data when the man-machine is in working state; acquiring image information and geographic location information collected when the drone is in working state; using graphical visualization method to play back the said data based on the airborne data, image information and geographic location information The working process of the drone.

Any combination of one or more computer-readable media may be used. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination of the above. More specific examples (non-exhaustive lists) of computer-readable storage media include: electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), Erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the foregoing. In this document, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, apparatus, or device.

The computer-readable signal medium may include a data signal that is propagated in baseband or as part of a carrier wave, in which computer-readable program code is carried. This propagated data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable medium may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. .

The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wire, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

The computer program code for performing the operations of the present invention can be written in one or more programming languages or a combination thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, as well as conventional Procedural programming language-such as "C" language or similar programming language. The program code may execute entirely on the user's computer, partly on the user's computer, as an independent software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server. In situations involving remote computers, the remote computer may be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, through an Internet service provider Internet connection).

Note that the above are only the preferred embodiments of the present invention and the applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that those skilled in the art can make various obvious changes, readjustments and substitutions without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the concept of the present invention. The scope is determined by the scope of the appended claims.

Claims

A UAV data processing method, characterized by including:

Obtaining airborne data when the drone is in working state;

Obtain the image information and geographic location information collected when the drone is in working state;

According to the airborne data, the image information, and the geographic location information, the working process of the drone is played back in a graphical visualization manner.
The method of claim 1, wherein the airborne data includes at least one of the following:

Sensor raw data, temperature information, battery information, attitude information, position information, GPS information, and feedback information of the implementing components.
The method according to claim 1 or 2, wherein the image information includes at least one of video and images collected when the drone is in a working state.
The method according to any one of claims 1-3, wherein the method further comprises:

When the drone is connected to the flight control center, flight test data of the drone is sent to the flight control center, where the flight test data includes at least one of the following:

Flight instructions, flight modes, drone attitude, position information, flight range, drone number and flight time;

Analyze the flight test data to obtain the user's usage habits of the drone.
The method according to claim 4, wherein before the analyzing the flight test data to obtain the user's usage habits of the drone, the method further comprises:

Determine whether the flight control center is connected to the Internet;

If yes, upload the flight test data to the cloud.
The method according to claim 5, wherein the method further comprises:

If the flight control center is not connected to the Internet, the flight test data is packaged and stored in the flight control center.
The method according to any one of claims 1-6, characterized in that, after playing back the working process of the drone using a graphical visualization method based on the airborne data, image information, and geographic location information, The method also includes:

Obtain the airborne data modified by the user, and encapsulate the airborne data modified by the user to obtain an executable file;

The executable file is stored in at least one drone, so that the at least one drone performs clustering, orderly, or repeatable flight according to the executable file.
A UAV data processing device is characterized by comprising:

The first acquisition module is used to acquire airborne data when the drone is in a working state;

The second acquisition module is used to acquire the image information and geographic location information collected when the drone is in the working state;

A playback module is used to playback the working process of the drone using a graphical visualization method based on the airborne data, video images, and flight path data.
The device according to claim 8, wherein the airborne data includes at least one of the following:

Sensor raw data, temperature information, battery information, attitude information, position information, GPS information, and feedback information of the implementing components.
The device according to claim 8 or 9, wherein the image information includes at least one of video and images collected when the drone is in a working state.
The device according to any one of claims 8-10, wherein the device further comprises:

A sending module, configured to send flight test data of the drone to the flight control center when the drone is connected to the flight control center, wherein the flight test data includes at least one of the following : Flight instructions, flight modes, drone attitude, position information, flight range, drone number and flight time;

The analysis module is used to analyze the flight test data to obtain the user's usage habits of the drone.
The apparatus according to claim 11, wherein the apparatus further comprises:

The judgment module is used to judge whether the flight control center is connected to the Internet;

An upload module is used to upload the flight test data to the cloud when the flight control center is connected to the Internet.
The device according to claim 12, wherein the device further comprises:

The storage module is configured to package and store the flight test data in the flight control center when the flight control center is not connected to the Internet.
The device according to any one of claims 8 to 13, wherein the device further comprises:

A third obtaining module, configured to obtain airborne data modified by the user, and encapsulate the airborne data modified by the user to obtain an executable file;

The execution module is configured to store the executable file in at least one unmanned aerial vehicle, so that the at least one unmanned aerial vehicle can perform cluster, orderly, or repeatable flight according to the executable file.
A drone system includes at least one drone and a terminal device communicatively connected to the at least one drone, characterized in that the terminal device is used for:

Acquiring airborne data when the at least one UAV is in a working state;

Acquiring image information and geographic location information collected when the at least one UAV is in a working state;

According to the airborne data, the image information, and the geographic location information, the working process of the at least one drone is played back in a graphical visualization manner.
The unmanned aerial system according to claim 15, wherein the airborne data includes at least one of the following:

Sensor raw data, temperature information, battery information, attitude information, position information, GPS information, and feedback information of the implementing components.
The UAV system according to claim 15, wherein the image information includes at least one of video and images collected when the at least one UAV is in a working state.
The UAV system according to claim 15, wherein the UAV system further includes a cloud wirelessly connected to the terminal device, then:

When the at least one drone is connected to the terminal device, the terminal device is also used to obtain flight test data of the at least one drone, where the flight test data includes at least one of the following :

Flight instructions, flight modes, drone attitude, position information, flight range, drone number and flight time;

The cloud is used to analyze the flight test data to obtain the user's habits of using the drone.
The drone system according to claim 18, wherein when the terminal device is connected to the Internet, the terminal device is further used to upload the flight test data to the cloud.
The UAV system according to claim 18, wherein when the terminal device is not connected to the Internet, the terminal device is further used to package and store the flight test data.
The UAV system according to claim 15, wherein the terminal device is further used to:

Obtain the airborne data modified by the user, and encapsulate the airborne data modified by the user to obtain an executable file;

The executable file is stored in the at least one drone, so that the at least one drone performs clustering, orderly, or repeatable flight according to the executable file.
A computer device, including a memory, a processor, and a computer program stored on the memory and capable of running on the processor, characterized in that, when the processor executes the program, any one of claims 1-7 is realized The method described.
A computer-readable storage medium on which a computer program is stored, characterized in that when the program is executed by a processor, the method according to any one of claims 1-7 is implemented.