CN110679127A - Data processing method and equipment for unmanned aerial vehicle - Google Patents

Data processing method and equipment for unmanned aerial vehicle Download PDF

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Publication number
CN110679127A
CN110679127A CN201880031294.0A CN201880031294A CN110679127A CN 110679127 A CN110679127 A CN 110679127A CN 201880031294 A CN201880031294 A CN 201880031294A CN 110679127 A CN110679127 A CN 110679127A
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drone
flight
unmanned aerial
aerial vehicle
report
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CN201880031294.0A
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Chinese (zh)
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陈超彬
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SZ DJI Technology Co Ltd
Shenzhen Dajiang Innovations Technology Co Ltd
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Shenzhen Dajiang Innovations Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/40Network security protocols

Abstract

The embodiment of the invention provides a data processing method and equipment of an unmanned aerial vehicle, wherein the method comprises the following steps: acquiring a flight data log recorded by a data recorder of the unmanned aerial vehicle in the process of multiple flights of the unmanned aerial vehicle, and analyzing the flight data log to determine the unmanned aerial vehicle and/or a use report of a user of the unmanned aerial vehicle. Because the embodiment analyzes the flight data logs in the multiple flight processes, the application scene of the flight data logs can be expanded, and the value of the flight data logs of the unmanned aerial vehicle in the multiple flight processes is mined.

Description

Data processing method and equipment for unmanned aerial vehicle Technical Field
The embodiment of the invention relates to the technical field of unmanned aerial vehicles, in particular to a data processing method and equipment for an unmanned aerial vehicle.
Background
At present, a data recorder, also called a black box, is built in an unmanned aerial vehicle, and records data in real time after the unmanned aerial vehicle is powered on, wherein the recorded data comprises data acquired by a sensor, navigation information, equipment state information, control lever quantity, intermediate variables and other related necessary information. After the unmanned aerial vehicle is powered on at every time, the data recorder starts data recording once, and the data recording is finished when the unmanned aerial vehicle is powered off. In the prior art, data recorded by a data recorder in the flight of the unmanned aerial vehicle in which a flight accident occurs is generally only concerned so as to determine the fault of the unmanned aerial vehicle. Therefore, the value of the data recorded by the data recorder in the process of flying the unmanned aerial vehicle for multiple times is ignored to some extent.
Disclosure of Invention
The embodiment of the invention provides a data processing method and equipment for an unmanned aerial vehicle, which are used for expanding the application scene of flight data logs and mining the value of the flight data logs of the unmanned aerial vehicle in multiple flight processes.
In a first aspect, an embodiment of the present invention provides a data processing method for an unmanned aerial vehicle, including:
acquiring a flight data log recorded by a data recorder of the unmanned aerial vehicle in the process of flying for multiple times;
the flight data logs are analyzed to determine usage reports of the drone and/or a user of the drone.
In a second aspect, an embodiment of the present invention provides a data processing device for an unmanned aerial vehicle, including:
the communication device is used for acquiring a flight data log recorded by a data recorder of the unmanned aerial vehicle in the process of multiple flights of the unmanned aerial vehicle;
a processor for analyzing the flight data log to determine usage reports of the drone and/or a user of the drone.
In a third aspect, an embodiment of the present invention provides a terminal device, including: according to the first aspect, the data processing device of the unmanned aerial vehicle is provided.
In a fourth aspect, an embodiment of the present invention provides a server, including: according to the first aspect, the data processing device of the unmanned aerial vehicle is provided.
In a fifth aspect, an embodiment of the present invention provides a readable storage medium, on which a computer program is stored; when executed, the computer program implements the data processing method of the unmanned aerial vehicle according to the first aspect of the present invention.
According to the data processing method and the data processing device for the unmanned aerial vehicle, provided by the embodiment of the invention, the flight data logs recorded by the data recorder of the unmanned aerial vehicle in the multiple flight processes of the unmanned aerial vehicle are obtained, and then the flight data logs are analyzed to determine the use reports of the unmanned aerial vehicle and/or the user of the unmanned aerial vehicle. Because the embodiment analyzes the flight data logs in the multiple flight processes, the application scene of the flight data logs can be expanded, and the value of the flight data logs of the unmanned aerial vehicle in the multiple flight processes is mined.
Drawings
FIG. 1 is a schematic architectural diagram of an unmanned flight system according to an embodiment of the invention;
fig. 2 is a flowchart of a data processing method of the unmanned aerial vehicle according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a data processing device of an unmanned aerial vehicle acquiring a flight data log from the unmanned aerial vehicle according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a data processing device of a drone acquiring a flight data log from the drone according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of a data processing device of an unmanned aerial vehicle according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a data processing device of a drone according to another embodiment of the present invention;
fig. 7 is a schematic structural diagram of a terminal device according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a server according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of a data processing system of a drone according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a data processing method and device of an unmanned aerial vehicle. Where the drone may be a rotorcraft (rotorcraft), for example, a multi-rotor aircraft propelled through the air by a plurality of propulsion devices, embodiments of the invention are not limited in this regard.
FIG. 1 is a schematic architectural diagram of an unmanned flight system according to an embodiment of the invention. The present embodiment is described by taking a rotor unmanned aerial vehicle as an example.
The unmanned flight system 100 can include a drone 110, a display device 130, and a control terminal 140. The drone 110 may include, among other things, a power system 150, a flight control system 160, a frame, and a pan-tilt 120 carried on the frame. The drone 110 may be in wireless communication with the control terminal 140 and the display device 130.
The airframe may include a fuselage and a foot rest (also referred to as a landing gear). The fuselage may include a central frame and one or more arms connected to the central frame, the one or more arms extending radially from the central frame. The foot rest is connected with the fuselage for play the supporting role when unmanned aerial vehicle 110 lands.
The power system 150 may include one or more electronic governors (abbreviated as electric governors) 151, one or more propellers 153, and one or more motors 152 corresponding to the one or more propellers 153, wherein the motors 152 are connected between the electronic governors 151 and the propellers 153, the motors 152 and the propellers 153 are disposed on the horn of the drone 110; the electronic governor 151 is configured to receive a drive signal generated by the flight control system 160 and provide a drive current to the motor 152 based on the drive signal to control the rotational speed of the motor 152. The motor 152 is used to drive the propeller in rotation, thereby providing power for the flight of the drone 110, which power enables the drone 110 to achieve one or more degrees of freedom of motion. In certain embodiments, the drone 110 may rotate about one or more axes of rotation. For example, the above-mentioned rotation axes may include a Roll axis (Roll), a Yaw axis (Yaw) and a pitch axis (pitch). It should be understood that the motor 152 may be a dc motor or an ac motor. The motor 152 may be a brushless motor or a brush motor.
Flight control system 160 may include a flight controller 161 and a sensing system 162. The sensing system 162 is used to measure attitude information of the drone, i.e., position information and status information of the drone 110 in space, such as three-dimensional position, three-dimensional angle, three-dimensional velocity, three-dimensional acceleration, three-dimensional angular velocity, and the like. The sensing system 162 may include, for example, at least one of a gyroscope, an ultrasonic sensor, an electronic compass, an Inertial Measurement Unit (IMU), a vision sensor, a global navigation satellite system, and a barometer. For example, the Global navigation satellite System may be a Global Positioning System (GPS). The flight controller 161 is used to control the flight of the drone 110, for example, the flight of the drone 110 may be controlled according to attitude information measured by the sensing system 162. It should be understood that the flight controller 161 may control the drone 110 according to preprogrammed instructions, or may control the drone 110 in response to one or more control instructions from the control terminal 140.
The pan/tilt head 120 may include a motor 122. The cradle head is used to carry the imaging device 123. Flight controller 161 may control the movement of pan/tilt head 120 via motor 122. Optionally, as another embodiment, the pan/tilt head 120 may further include a controller for controlling the movement of the pan/tilt head 120 by controlling the motor 122. It should be understood that the pan/tilt head 120 may be separate from the drone 110, or may be part of the drone 110. It should be understood that the motor 122 may be a dc motor or an ac motor. The motor 122 may be a brushless motor or a brush motor. It should also be understood that the pan/tilt head may be located at the top of the drone, as well as at the bottom of the drone.
The imaging device 123 may be, for example, a device for capturing an image such as a camera or a video camera, and the imaging device 123 may communicate with the flight controller and perform shooting under the control of the flight controller. The imaging Device 123 of the present embodiment at least includes a photosensitive element, such as a Complementary Metal Oxide Semiconductor (CMOS) sensor or a Charge-coupled Device (CCD) sensor. It is understood that the imaging device 123 may also be directly fixed to the drone 110, such that the pan/tilt head 120 may be omitted.
The display device 130 is located at the ground end of the unmanned aerial vehicle system 100, can communicate with the unmanned aerial vehicle 110 in a wireless manner, and can be used for displaying attitude information of the unmanned aerial vehicle 110. In addition, an image taken by the imaging device may also be displayed on the display apparatus 130. It should be understood that the display device 130 may be a stand-alone device or may be integrated into the control terminal 140.
The control terminal 140 is located at a ground end of the unmanned aerial vehicle system 100, and can communicate with the unmanned aerial vehicle 110 in a wireless manner, so as to remotely control the unmanned aerial vehicle 110, wherein the control terminal 140 includes one or more of a remote controller, a smart phone, a tablet computer, a desktop computer, a laptop computer, and a wearable device.
It should be understood that the above-mentioned nomenclature for the components of the unmanned flight system is for identification purposes only, and should not be construed as limiting embodiments of the present invention.
Fig. 2 is a flowchart of a data processing method of an unmanned aerial vehicle according to an embodiment of the present invention, and as shown in fig. 2, the method of the embodiment may include:
s201, acquiring a flight data log recorded by a data recorder of the unmanned aerial vehicle in the multiple flight process.
S202, analyzing the flight data log to determine a usage report of the unmanned aerial vehicle and/or a user of the unmanned aerial vehicle.
The execution subject of the method of this embodiment may be a data processing device of the drone, and the data processing device of the drone may be included in a terminal device or a server, where the terminal device may include a control terminal 140 as shown in fig. 1, and it is understood that the terminal device may include other types of terminals.
In the process of each flight of the unmanned aerial vehicle, the data recorder of the unmanned aerial vehicle can record a flight data log in the process of each flight, optionally, the flight data log comprises one or more of data collected by a sensor of the unmanned aerial vehicle and a control lever amount, and it can be understood that the flight data log can also comprise data acquired through specific operation according to the data collected by the sensor. In this embodiment, unmanned aerial vehicle's data processing equipment can acquire the flight data log of unmanned aerial vehicle at many times flight in-process unmanned aerial vehicle's data record appearance record. The data processing equipment of the unmanned aerial vehicle can acquire flight data logs recorded by a data recorder of the unmanned aerial vehicle in multiple flight processes at one time; or, the data processing equipment of unmanned aerial vehicle can divide and acquire the flight data log that unmanned aerial vehicle's data record appearance was recorded at many times flight in-process unmanned aerial vehicle respectively many times, for example: after the unmanned aerial vehicle flies at every turn, the data processing equipment of the unmanned aerial vehicle acquires the flight data log recorded by the data recorder of the unmanned aerial vehicle in the flying process.
Wherein, the unmanned aerial vehicle's of this embodiment data processing equipment can directly acquire the flight data log of unmanned aerial vehicle at many times flight in-process data record appearance record, and wherein, directly acquire and mean that unmanned aerial vehicle's data processing equipment directly communicates with unmanned aerial vehicle and acquires the flight data log. Or, the data processing device of the unmanned aerial vehicle of this embodiment indirectly acquires the flight data log recorded by the data recorder of the unmanned aerial vehicle during multiple flights, and indirectly acquires the flight data log recorded by the data recorder of the unmanned aerial vehicle during multiple flights, which means that the data processing device of the unmanned aerial vehicle acquires the data recorder of the unmanned aerial vehicle during multiple flights through other devices, for example: the other equipment can directly obtain the flight data log recorded by the data recorder of the unmanned aerial vehicle from the unmanned aerial vehicle, and then the data processing equipment of the unmanned aerial vehicle receives the flight data log sent by the other equipment.
After acquiring flight data logs recorded by a data recorder of the unmanned aerial vehicle in the multiple flight process of the unmanned aerial vehicle, the data processing equipment of the unmanned aerial vehicle analyzes the flight data logs in the multiple flight process to determine the use report of the unmanned aerial vehicle, or analyzes the flight data logs in the multiple flight process to determine the use report of a user, or analyzes the flight data logs in the multiple flight process to determine the use report of the unmanned aerial vehicle and the use report of the user. The user may be a user using the drone.
In this embodiment, the flight data log recorded by the data recorder of the unmanned aerial vehicle during multiple flights is obtained, and then the flight data log is analyzed to determine the usage report of the unmanned aerial vehicle and/or the user of the unmanned aerial vehicle. Because the embodiment analyzes the flight data logs in the multiple flight processes, the application scene of the flight data logs can be expanded, and the value of the flight data logs of the unmanned aerial vehicle in the multiple flight processes is mined.
The following describes directly obtaining a flight data log recorded by a data recorder of an unmanned aerial vehicle during multiple flight processes. Firstly, establishing a wired communication link with the unmanned aerial vehicle by data processing equipment of the unmanned aerial vehicle, or firstly, establishing a wireless communication link with the unmanned aerial vehicle by the data processing equipment of the unmanned aerial vehicle; then, the data processing equipment of the unmanned aerial vehicle directly acquires the flight data log recorded by the data recorder of the unmanned aerial vehicle in the multiple flight process from the data recorder of the unmanned aerial vehicle through the established wired communication link or wireless communication link.
As shown in fig. 3, the data processing device 301 of the drone may establish a wired communication link or a wireless communication link with the drone 302, and the data processing device 301 of the drone may obtain a flight data log of the drone during multiple flights from a data recorder of the drone through the wired communication link or the wireless communication link. In some cases, when the data processing device 301 of the drone may establish a wired communication link or a wireless communication link with the drone 302, after receiving a flight data log request instruction sent by a terminal device or a server applied in this embodiment, the drone sends the flight data log request instruction to the data processing device 301, and in response to the request instruction, the drone sends the flight data log recorded by the data recorder during multiple flights to the data processing device 301.
The following explains the indirect acquisition of a flight data log recorded by a data recorder of an unmanned aerial vehicle during multiple flight processes. Firstly, establishing a wired communication link with a server by data processing equipment of an unmanned aerial vehicle, or establishing a wireless communication link with the server by the data processing equipment of the unmanned aerial vehicle; then, the data processing equipment of the unmanned aerial vehicle directly obtains the flight data log recorded by the data recorder in the multiple flight processes of the unmanned aerial vehicle from the server through the wired communication link or the wireless communication link.
As shown in fig. 4, the drone 401 may upload the flight data log to the server 402, in some cases the drone 401 may communicate directly with the server 402 to upload the flight data log to the server, and in some cases the drone 401 may upload the flight data log to the server through the terminal device 403 (e.g., a control terminal). In this way, the server 402 may directly or indirectly obtain and store the above-mentioned flight data log from the drone 401, and the data processing device 404 of the drone may establish a wired communication link or a wireless communication link with the server 402, and directly obtain, through the communication link, the flight data log of the drone during multiple flights that is stored in the server 402. Alternatively, the server 402 may send, to the data processing device 404 of the drone, a flight data log recorded by the data recorder during multiple flights of the drone after receiving a flight data log request instruction sent by the data processing device 404 of the drone.
In some embodiments, the data processing method of this embodiment may be applied to a terminal device, and in some cases, the data processing method of this embodiment may be applied to the terminal device 403 as shown in fig. 4, and correspondingly, the data processing device of the unmanned aerial vehicle may be included in the terminal device 403, and further, the terminal device 403 may be a control terminal; in some cases, the data processing method of the present embodiment may be applied to a terminal device including the data processing device 404 as described in fig. 4. After the data processing device of the drone analyzes the flight data log to determine a usage report for the drone and/or the user of the drone, the data processing device of the drone may display the usage report through a display device configured with the terminal device, such as a display screen or a touch display screen.
In some embodiments, the data processing method of this embodiment may be applied to a server, for example, the data processing method of this embodiment may be applied to a server 402 as shown in fig. 4, and correspondingly, the data processing device of the drone may be included in the server 402. As mentioned above, the drone uploads the flight data log to the server 402 in a direct or indirect manner, the data processing device of the drone in the server 402 analyzes the flight data log to determine a usage report of the drone and/or the user of the drone, the server 402 may send the usage report to the terminal device, and the terminal device may display the usage report. Further, after receiving a report application instruction sent by a terminal device, the server 402 sends the usage report to the terminal device, where the report application instruction is determined by the terminal device through an interaction device of the terminal device, and the terminal device includes, for example, a control terminal of an unmanned aerial vehicle.
In this embodiment, the usage report of the drone and/or the user of the drone is generated by the server including the data processing device of the drone, and the user needs to obtain the usage report of the drone and/or the user of the drone from the server if the user wants to obtain the usage report. The method comprises the steps that a communication link (which can be a wired communication link or a wireless communication link) can be established between a terminal device (for example, a control terminal including an unmanned aerial vehicle) and a server, a user performs report application operation on an interaction device of the terminal device, the terminal device determines a report application instruction after detecting the report application operation through the interaction device and sends the report application instruction to the server, and the server feeds back a use report of the unmanned aerial vehicle and/or the user of the unmanned aerial vehicle to the terminal device after receiving the report application instruction. Optionally, after the terminal device receives the usage report of the drone and/or the user of the drone sent by the server, the usage report of the drone and/or the user of the drone may be displayed through the display device, so that the user may see the usage report of the drone and/or the user of the drone.
Optionally, the data processing device of the drone may run a big data mining algorithm to mine and analyze acquired flight data logs recorded by the data recorder during multiple flights of the drone, and the usage report of the drone and/or the user of the drone may be determined by mining a large number of flight data logs.
The following describes the usage report of the drone.
In some embodiments, the usage report of the drone includes a component maintenance report of the drone, and therefore, after the data processing device of the drone obtains a flight data log recorded by a data recorder of the drone during multiple flights of the drone, the flight data log during multiple flights of the drone is analyzed to determine the component maintenance report of the drone.
The component maintenance report includes at least one of a component replacement report, a component maintenance report, and a component calibration report. Wherein the component maintenance report includes component indication information, and the component indication information may be a serial number of a component. Wherein the component indication information is used to indicate which component in the drone needs to be maintained. The component replacement report indicates that certain components need to be replaced, and specifically, the component replacement report indicates that the components indicated by the component replacement indication information need to be replaced; the component maintenance report indicates that certain components need to be maintained, and specifically, the component maintenance report is used for indicating the components which need to be maintained and indicated by the component indication information; the component calibration report indicates information such as the need to calibrate certain sensors, and in particular, indicates the need to calibrate the component indicated by the component indication information.
Taking the part replacement report as an example, the data processing device of the unmanned aerial vehicle of this embodiment can analyze the flight data log of the unmanned aerial vehicle in the multiple flight process, and when it is determined that the time that a certain part of the unmanned aerial vehicle has been used is greater than or equal to the maximum service life, the data processing device of the unmanned aerial vehicle can generate the part replacement report to suggest that the user or the maintenance personnel of the unmanned aerial vehicle replace the part.
Taking the component maintenance report as an example, the data processing device of the unmanned aerial vehicle of this embodiment may analyze the flight data log of the unmanned aerial vehicle in the multiple flight processes, and when it is determined that a certain component of the unmanned aerial vehicle is not flexible to rotate, the data processing device of the unmanned aerial vehicle may generate the component maintenance report to suggest a user or a maintenance staff of the unmanned aerial vehicle to maintain the component.
Taking the part calibration report as an example, the data processing device of the unmanned aerial vehicle of this embodiment can analyze the flight data log of the unmanned aerial vehicle in the multiple flight process, and when determining that the measurement accuracy of a certain sensor of this unmanned aerial vehicle is poor, the data processing device of the unmanned aerial vehicle can generate the part calibration report to suggest that the user or the maintenance personnel of the unmanned aerial vehicle calibrate this sensor.
In some embodiments, the usage report of the drone includes a component operating status report of the drone, and therefore, after acquiring a flight data log recorded by a data recorder of the drone during multiple flights of the drone, the data processing device of the drone of this embodiment analyzes the flight data log during multiple flights of the drone to determine the component operating status report of the drone. For example: the flight data log of the unmanned aerial vehicle in the multiple flight processes can be analyzed, for example, the failure probability, the aging condition, the measurement accuracy and the like of components are judged, and the components may include: sensors, powertrain components, control components, and the like.
The usage reports of the user of the drone are described below.
In some embodiments, the usage report of the user of the drone includes a usage habit report of the user of the drone, and therefore, after acquiring a flight data log recorded by a data recorder of the drone during multiple flights of the drone, the data processing device of the drone of this embodiment analyzes the flight data log during multiple flights of the drone to determine the usage habit report of the user of the drone. For example: the mining analysis can be carried out on the flight data logs of the unmanned aerial vehicle in the multiple flight processes, and the use habit of the user in operating the unmanned aerial vehicle is determined, such as the geographic area where the user frequently uses the unmanned aerial vehicle, the time range where the user frequently uses the unmanned aerial vehicle, the flight mode where the user frequently controls the unmanned aerial vehicle (such as the interest point surrounding flight mode and the track flight mode), and the like.
In some embodiments, the usage report of the user of the drone includes a usage suggestion report of the user of the drone, and therefore, after acquiring a flight data log recorded by a data recorder of the drone during multiple flights of the drone, the data processing device of the drone of this embodiment analyzes the flight data log during multiple flights of the drone to determine the usage suggestion report of the user of the drone. This use suggestion report can guide the user correctly and control unmanned aerial vehicle safely, guarantees unmanned aerial vehicle's flight safety and safety in utilization.
In some embodiments, the usage advice report for the user of the drone may include a away from restricted flight zone advice report. The flight data log in this embodiment includes the data that unmanned aerial vehicle's sensor was gathered to the data that this sensor was gathered includes the position information that unmanned aerial vehicle's satellite positioning equipment gathered, and wherein, the position information that unmanned aerial vehicle's satellite positioning equipment gathered can indicate unmanned aerial vehicle's flight track. Therefore, after acquiring the flight data log recorded by the data recorder of the unmanned aerial vehicle in the multiple flight process of the unmanned aerial vehicle, the data processing device of the unmanned aerial vehicle of the embodiment analyzes the position information in the flight data log of the unmanned aerial vehicle in the multiple flight process to determine the suggestion report of keeping away from the flight-restricted area. For example: if the flight data logs of the unmanned aerial vehicle in the multiple flight processes are analyzed, and the unmanned aerial vehicle is determined to frequently fly within 50m of the periphery of a limited flight area (particularly an airport and a military management area), determining that the unmanned aerial vehicle is far away from the limited flight area, wherein the far away limited flight area suggestion report indicates that a user needs to pay attention to flight safety and is far away from the limited flight area.
In some embodiments, the usage recommendation report for the user of the drone may include a far away magnetic interference zone recommendation report. The flight data log in this embodiment includes the data that unmanned aerial vehicle's sensor gathered to the data that this sensor gathered includes the magnetic induction information that unmanned aerial vehicle's magnetic induction sensor gathered, wherein, the magnetic induction information that unmanned aerial vehicle's magnetic induction sensor gathered can indicate that unmanned aerial vehicle receives the interference degree. Therefore, the data processing device of the unmanned aerial vehicle of the embodiment analyzes magnetic induction information in the flight data log of the unmanned aerial vehicle in the multiple flight process after acquiring the flight data log recorded by the data recorder of the unmanned aerial vehicle in the multiple flight process so as to determine a suggestion report of a distance from a magnetic interference area. For example: if the flight data logs of the unmanned aerial vehicle in the multiple flight processes are analyzed, and it is determined that the compass of the unmanned aerial vehicle is frequently interfered, it is determined that the unmanned aerial vehicle is far away from the magnetic interference area suggestion report, and the far away magnetic interference area suggestion report indicates that a user needs to fly away from a magnetic interference source, for example.
In some embodiments, the usage advice report for the user of the drone may include advice reports not to fly at night. The flight data log in this embodiment includes data collected by the sensor of the unmanned aerial vehicle, and the data collected by the sensor includes time information collected by the time sensor of the unmanned aerial vehicle, wherein the time information collected by the time sensor of the unmanned aerial vehicle can indicate the flight time of the unmanned aerial vehicle. Therefore, after acquiring the flight data log recorded by the data recorder of the unmanned aerial vehicle in the multiple flight processes of the unmanned aerial vehicle, the data processing device of the unmanned aerial vehicle of the embodiment analyzes the time information in the flight data log of the unmanned aerial vehicle in the multiple flight processes to determine a recommendation report that the unmanned aerial vehicle is not to fly at night. For example: if the flight data log of the unmanned aerial vehicle flies for many times, the flight time of the unmanned aerial vehicle is basically determined to be at night, and because the light at night is poor, the observation of the user on the unmanned aerial vehicle is affected to be not accurate enough, and the flight accident is easily caused, so that the suggestion report that the unmanned aerial vehicle does not fly at night can be determined.
In some embodiments, the usage advice report for the user of the drone may include a remote control batting advice report. The flight data log in this embodiment includes a joystick amount for the drone, where the joystick amount is determined from a user manipulating a remote control of the drone. Therefore, the data processing equipment of the unmanned aerial vehicle of the embodiment analyzes the control lever amount in the flight data log of the unmanned aerial vehicle in the multiple flight process after acquiring the flight data log recorded by the data recorder of the unmanned aerial vehicle in the multiple flight process so as to determine the recommended report of lever hitting of the remote controller. For example: if the flight data log of the unmanned aerial vehicle in the process of flying for many times is analyzed, the control lever amount is found to reach the maximum control lever amount in many times, and the user is indicated to fill the lever when operating the unmanned aerial vehicle, and then the remote controller lever-hitting suggestion report indicating improvement of lever-hitting operation is determined to indicate the user to improve the lever-hitting operation.
In summary, in the embodiments of the present invention, a flight data log recorded by a data recorder of an unmanned aerial vehicle during multiple flights of the unmanned aerial vehicle is obtained, and then the flight data log during multiple flights is analyzed to determine a usage report of the unmanned aerial vehicle and/or a user of the unmanned aerial vehicle. Because the embodiment analyzes the flight data logs in the multiple flight processes, the application scene of the flight data logs can be expanded, and the value of the flight data logs of the unmanned aerial vehicle in the multiple flight processes is mined. In addition, the usage report of the drone includes: the report is maintained to unmanned aerial vehicle's part, unmanned aerial vehicle's part operating condition report etc. and the report of use of unmanned aerial vehicle's user includes: the use habit report, the report of advising about the region far away from the limited flight, the report of advising about the region far away from the magnetic interference, the report of advising about not flying at night, etc. can guide the user to correctly control the unmanned aerial vehicle, and ensure the flight safety of the unmanned aerial vehicle.
The embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores program instructions, and when the program is executed, the computer storage medium may include some or all of the steps of the delay shooting control method in each of the above embodiments.
Fig. 5 is a schematic structural diagram of a data processing device of an unmanned aerial vehicle according to an embodiment of the present invention, and as shown in fig. 5, the data processing device 500 of the unmanned aerial vehicle according to this embodiment may include: a communication device 501 and a processor 502. The Processor 502 may be a Central Processing Unit (CPU), and the Processor 502 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
And the communication device 501 is used for acquiring flight data logs recorded by a data recorder of the unmanned aerial vehicle in the multiple flight processes.
A processor 502 for analyzing the flight data log to determine usage reports of the drone and/or a user of the drone.
Optionally, the flight data log includes one or more of data collected by sensors of the drone, a joystick amount.
Optionally, the processor 502 is further configured to establish a wired communication link or a wireless communication link with the drone before the communication device 501 obtains a flight data log recorded by a data recorder of the drone during multiple flights;
the communication device 501 is specifically configured to: and directly acquiring a flight data log recorded by the data recorder in the multiple flight processes of the unmanned aerial vehicle from the data recorder through the wired communication link or the wireless communication link.
Optionally, the processor 502 is further configured to establish a wired communication link or a wireless communication link with a server before the communication device 501 obtains a flight data log recorded by a data recorder of the drone during multiple flights;
the communication device 501 is specifically configured to: and directly acquiring the flight data log recorded by the data recorder in the multiple flight processes of the unmanned aerial vehicle from the server through the wired communication link or the wireless communication link.
Optionally, the processor 502 is specifically configured to: analyzing the flight data log to determine a component maintenance report for the drone.
Optionally, the processor 502 is specifically configured to:
analyzing the flight data log to determine a component operating status report for the drone.
Optionally, the processor 502 is specifically configured to:
analyzing the flight data log to determine usage habit reports of a user of the drone.
Optionally, the processor 502 is specifically configured to:
analyzing the flight data log to determine a usage recommendation report for a user of the drone.
Optionally, the flight data log includes data collected by a sensor of the drone, the data collected by the sensor including location information collected by a satellite positioning device of the drone;
the processor 502 is specifically configured to: the location information is analyzed to determine a far away restricted flight zone recommendation report.
Optionally, the flight data log includes data collected by a sensor of the drone, the data collected by the sensor including magnetic induction information collected by a magnetic induction sensor of the drone;
the processor 502 is specifically configured to: the magnetic induction information is analyzed to determine a recommendation report for a far away magnetic interference zone.
Optionally, the flight data log includes data collected by a sensor of the drone, the data collected by the sensor including time information collected by a time sensor;
the processor 502 is specifically configured to: analyzing the time information to determine a recommendation to not fly at night.
Optionally, the flight data log comprises a control stick amount of the drone;
the processor 502 is specifically configured to: analyzing the control lever amount to determine a remote control lever actuation recommendation report.
In some embodiments, the communication device 501 is further configured to receive a report application instruction sent by a terminal device of the drone after the processor 502 analyzes the flight data log to determine a usage report of the drone and/or a user of the drone, where the report application instruction is determined by the terminal device through an interaction device detection report application operation; and sending the usage report to the terminal device.
In other embodiments, the data processing apparatus 500 of the drone of this embodiment may further include: a display device 503 as shown in fig. 6.
The display device 503 is configured to display the usage report after the processor 502 analyzes the flight data log to determine the usage report of the drone and/or the user of the drone.
Optionally, the data processing apparatus 500 of this embodiment may further include a memory (not shown in the figure), where the memory is used to store program codes, and when the program codes are executed, the data processing apparatus 500 may implement the technical solution of the data processing method described above.
The data processing device of the unmanned aerial vehicle of this embodiment may be configured to execute the technical solutions in the above method embodiments of the present invention, and the implementation principles and technical effects thereof are similar and will not be described herein again.
Fig. 7 is a schematic structural diagram of a terminal device according to an embodiment of the present invention, and as shown in fig. 7, a terminal device 700 according to this embodiment may include a data processing device 701 of an unmanned aerial vehicle, where the data processing device 701 of the unmanned aerial vehicle may adopt the structure shown in fig. 5 or fig. 6, and correspondingly, the technical solutions in the foregoing method embodiments may be executed, and the implementation principle and the technical effect thereof are similar, and are not described herein again. Alternatively, the terminal device 700 may be a control terminal of a drone, for example.
Fig. 8 is a schematic structural diagram of a server according to an embodiment of the present invention, and as shown in fig. 8, a server 800 according to this embodiment may include a data processing device 801 of an unmanned aerial vehicle, where the data processing device 801 of the unmanned aerial vehicle may adopt the structure of the embodiment shown in fig. 5, and correspondingly, the technical solutions in the above method embodiments may be executed, and the implementation principle and the technical effect thereof are similar, and are not described herein again.
Fig. 9 is a schematic structural diagram of a data processing system of an unmanned aerial vehicle according to an embodiment of the present invention, and as shown in fig. 9, the system of this embodiment may include: a drone 901, a terminal device 902 and a server 903.
The terminal device 902 may adopt the structure of the embodiment shown in fig. 7, and accordingly, may execute the technical solutions in the above method embodiments, and the implementation principles and technical effects thereof are similar, and are not described herein again. Optionally, the terminal device 902 may be a control terminal of a drone, for example.
Alternatively, the server 903 may adopt the structure of the embodiment shown in fig. 8, and accordingly, the technical solutions in the above method embodiments may be executed, and the implementation principles and technical effects are similar, and are not described herein again.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media capable of storing program codes, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, and an optical disk.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (30)

  1. A data processing method of an unmanned aerial vehicle is characterized by comprising the following steps:
    acquiring a flight data log recorded by a data recorder of the unmanned aerial vehicle in the process of flying for multiple times;
    the flight data logs are analyzed to determine usage reports of the drone and/or a user of the drone.
  2. The method of claim 1, wherein the flight data log comprises one or more of data collected by sensors of the drone, a joystick amount.
  3. The method of claim 1 or 2, wherein the obtaining the flight data log recorded by the data recorder of the drone during multiple flights of the drone further comprises:
    establishing a wired communication link or a wireless communication link with the drone;
    the flight data log that obtains unmanned aerial vehicle at many flight in-process unmanned aerial vehicle's data record appearance record includes:
    and directly acquiring a flight data log recorded by the data recorder in the multiple flight processes of the unmanned aerial vehicle from the data recorder through the wired communication link or the wireless communication link.
  4. The method of claim 1 or 2, wherein the obtaining the flight data log recorded by the data recorder of the drone during multiple flights of the drone further comprises:
    establishing a wired communication link or a wireless communication link with a server;
    the flight data log that obtains unmanned aerial vehicle at many flight in-process unmanned aerial vehicle's data record appearance record includes:
    and directly acquiring the flight data log recorded by the data recorder in the multiple flight processes of the unmanned aerial vehicle from the server through the wired communication link or the wireless communication link.
  5. The method of any of claims 1-4, wherein after analyzing the flight data log to determine usage reports for the drone and/or a user of the drone, further comprising:
    displaying the usage report via a display device.
  6. The method of any of claims 1-4, wherein after analyzing the flight data log to determine usage reports for the drone and/or a user of the drone, further comprising:
    receiving a report application instruction sent by terminal equipment of an unmanned aerial vehicle, wherein the report application instruction is determined by the terminal equipment through an interactive device detection report application operation;
    and sending the usage report to the terminal equipment.
  7. The method of any of claims 1-6, wherein analyzing the flight data log to determine usage reports for drones comprises:
    analyzing the flight data log to determine a component maintenance report for the drone.
  8. The method of any of claims 1-6, wherein analyzing the flight data log to determine usage reports for drones comprises:
    analyzing the flight data log to determine a component operating status report for the drone.
  9. The method of any of claims 1-6, wherein analyzing the flight data log to determine a usage report for a user of the drone comprises:
    analyzing the flight data log to determine usage habit reports of a user of the drone.
  10. The method of any of claims 1-6, wherein analyzing the flight data log to determine a usage report for a user of the drone comprises:
    analyzing the flight data log to determine a usage recommendation report for a user of the drone.
  11. The method of claim 10, wherein the flight data log comprises data collected by sensors of the drone, the data collected by the sensors including position information collected by a satellite positioning device of the drone;
    the analyzing the flight data log to determine a usage recommendation report for a user of a drone includes: the location information is analyzed to determine a far away restricted flight zone recommendation report.
  12. The method of claim 10, wherein the flight data log comprises data collected by sensors of the drone, the data collected by the sensors comprising magnetic induction information collected by magnetic induction sensors of the drone;
    the analyzing the flight data log to determine a usage recommendation report for a user of a drone includes:
    the magnetic induction information is analyzed to determine a recommendation report for a far away magnetic interference zone.
  13. The method of claim 10, wherein the flight data log comprises data collected by sensors of the drone, the data collected by the sensors including time information collected by a time sensor;
    the analyzing the flight data log to determine a usage recommendation report for a user of a drone includes:
    analyzing the time information to determine a recommendation to not fly at night.
  14. The method of claim 10, wherein the flight data log includes a joystick amount of the drone;
    the analyzing the flight data log to determine a usage recommendation report for a user of a drone includes:
    analyzing the control lever amount to determine a remote control lever actuation recommendation report.
  15. A data processing device of an unmanned aerial vehicle, comprising:
    the communication device is used for acquiring a flight data log recorded by a data recorder of the unmanned aerial vehicle in the process of multiple flights of the unmanned aerial vehicle;
    a processor for analyzing the flight data log to determine usage reports of the drone and/or a user of the drone.
  16. The apparatus of claim 15, wherein the flight data log comprises one or more of data collected by sensors of the drone, a joystick amount.
  17. The apparatus of claim 15 or 16, wherein the processor is further configured to establish a wired or wireless communication link with the drone before the communication device obtains a flight data log recorded by a data recorder of the drone during multiple flights;
    the communication device is specifically configured to: and directly acquiring a flight data log recorded by the data recorder in the multiple flight processes of the unmanned aerial vehicle from the data recorder through the wired communication link or the wireless communication link.
  18. The apparatus of claim 15 or 16, wherein the processor is further configured to establish a wired communication link or a wireless communication link with a server before the communication device obtains a flight data log recorded by a data recorder of the drone during multiple flights;
    the communication device is specifically configured to: and directly acquiring the flight data log recorded by the data recorder in the multiple flight processes of the unmanned aerial vehicle from the server through the wired communication link or the wireless communication link.
  19. The device according to any of claims 15-18, wherein the processor is specifically configured to: analyzing the flight data log to determine a component maintenance report for the drone.
  20. The device according to any of claims 15-18, wherein the processor is specifically configured to:
    analyzing the flight data log to determine a component operating status report for the drone.
  21. The device according to any of claims 15-18, wherein the processor is specifically configured to:
    analyzing the flight data log to determine usage habit reports of a user of the drone.
  22. The device according to any of claims 15-18, wherein the processor is specifically configured to:
    analyzing the flight data log to determine a usage recommendation report for a user of the drone.
  23. The apparatus of claim 22, wherein the flight data log comprises data collected by a sensor of the drone, the data collected by the sensor comprising location information collected by a satellite positioning device of the drone;
    the processor is specifically configured to: the location information is analyzed to determine a far away restricted flight zone recommendation report.
  24. The apparatus of claim 22, wherein the flight data log comprises data collected by a sensor of the drone, the data collected by the sensor comprising magnetic induction information collected by a magnetic induction sensor of the drone;
    the processor is specifically configured to: the magnetic induction information is analyzed to determine a recommendation report for a far away magnetic interference zone.
  25. The apparatus of claim 22, wherein the flight data log comprises data collected by sensors of the drone, the data collected by the sensors including time information collected by a time sensor;
    the processor is specifically configured to: analyzing the time information to determine a recommendation to not fly at night.
  26. The apparatus of claim 22, wherein the flight data log comprises a joystick amount of the drone;
    the processor is specifically configured to: analyzing the control lever amount to determine a remote control lever actuation recommendation report.
  27. The apparatus of any of claims 15-26, further comprising: a display device;
    the display device is further configured to display the usage report after the processor analyzes the flight data log to determine a usage report for the drone and/or a user of the drone.
  28. The apparatus of any one of claims 15-26, wherein the communication device is further configured to receive a report application instruction sent by a terminal device of the drone after the processor analyzes the flight data log to determine a usage report of the drone and/or a user of the drone, the report application instruction being determined by the terminal device detecting a report application operation through an interaction device; and sending the usage report to the terminal device.
  29. A terminal device, comprising: a data processing apparatus of a drone according to any of claims 15 to 27.
  30. A server, comprising: a data processing apparatus of a drone according to any of claims 15-26 or 28.
CN201880031294.0A 2018-05-28 2018-05-28 Data processing method and equipment for unmanned aerial vehicle Pending CN110679127A (en)

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