CN113283456A - Information processing method, device and system applied to unmanned aerial vehicle - Google Patents
Information processing method, device and system applied to unmanned aerial vehicle Download PDFInfo
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Abstract
The information processing method, the device and the system applied to the unmanned aerial vehicle firstly obtain first data delay information of online flight data corresponding to a target unmanned aerial vehicle in a first flight data identification thread, secondly obtain second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread, wherein the second data delay information is matched with the first data delay information, and finally correct the second flight data identification thread according to the first data delay information and the second data delay information. So, can revise in order to reduce flight delay error the flight data identification thread of unmanned aerial vehicle.
Description
Technical Field
The invention relates to the technical field of unmanned aerial vehicles, in particular to an information processing method, device and system applied to an unmanned aerial vehicle.
Background
The development of unmanned aerial vehicle can bring a great deal of facility for people's production life. However, the flight delay error is easy to occur to the unmanned aerial vehicle, and it is very important to correct the flight data identification thread of the unmanned aerial vehicle to reduce the flight delay error.
Disclosure of Invention
In order to solve the problems, the invention provides an information processing method, device and system applied to an unmanned aerial vehicle.
An information processing method applied to an unmanned aerial vehicle comprises the following steps:
acquiring first data delay information of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
obtaining second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread, wherein the second data delay information is matched with the first data delay information;
and correcting the second flight data identification thread according to the first data delay information and the second data delay information.
Alternatively,
the obtaining of the first data delay information of the online flight data corresponding to the target unmanned aerial vehicle in the first flight data identification thread includes: acquiring a first delay information characteristic of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
the obtaining of the second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in the thread running interval corresponding to the second flight data identification thread includes: obtaining a second delay information characteristic of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread;
the modifying the second flight data identification thread according to the first data delay information and the second data delay information includes: and correcting the second flight data identification thread according to the first delay information characteristic and the second delay information characteristic.
Optionally, the modifying the second flight data identification thread according to the first delay information characteristic and the second delay information characteristic includes:
acquiring first feature similarity information of at least two first delay description features on the first delay information feature;
acquiring second feature similarity information of at least two second delay description features on the second delay information feature;
and correcting the second flight data identification thread according to the first feature similarity information of the at least two first delay description features, the second feature similarity information of the at least two second delay description features and the flight data requirement information corresponding to the second delay information features.
Optionally, the modifying the second flight data identification thread according to the first feature similarity information of the at least two first delay description features, the second feature similarity information of the at least two second delay description features, and the flight data demand information corresponding to the second delay information features includes:
identifying thread feature distribution of a thread by adopting first feature similarity information of the at least two first delay description features and the second flight data, and representing second feature similarity information of a target second delay description feature matched with the at least two first delay description features on the second delay information feature;
using second feature similarity information of the at least two second delay description features to represent feature change features of the second delay information features;
acquiring flight data demand information corresponding to the second delay information characteristic according to second characteristic similarity information of the target second delay description characteristic and characteristic change characteristics of the second delay information characteristic;
and performing correlation data extraction on the thread characteristic distribution according to flight data demand information corresponding to the second delay information characteristic to obtain a thread correction parameter of the second flight data identification thread.
An information processing apparatus applied to an unmanned aerial vehicle, comprising:
the first obtaining module is used for obtaining first data delay information of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
a second obtaining module, configured to obtain second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread, where the second data delay information is matched with the first data delay information;
and the thread correction module is used for correcting the second flight data identification thread according to the first data delay information and the second data delay information.
Alternatively,
a first obtaining module to: acquiring a first delay information characteristic of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
a second obtaining module to: obtaining a second delay information characteristic of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread;
a thread modification module to: and correcting the second flight data identification thread according to the first delay information characteristic and the second delay information characteristic.
Optionally, the thread modification module is configured to:
acquiring first feature similarity information of at least two first delay description features on the first delay information feature;
acquiring second feature similarity information of at least two second delay description features on the second delay information feature;
and correcting the second flight data identification thread according to the first feature similarity information of the at least two first delay description features, the second feature similarity information of the at least two second delay description features and the flight data requirement information corresponding to the second delay information features.
Optionally, the thread modification module is configured to:
identifying thread feature distribution of a thread by adopting first feature similarity information of the at least two first delay description features and the second flight data, and representing second feature similarity information of a target second delay description feature matched with the at least two first delay description features on the second delay information feature;
using second feature similarity information of the at least two second delay description features to represent feature change features of the second delay information features;
acquiring flight data demand information corresponding to the second delay information characteristic according to second characteristic similarity information of the target second delay description characteristic and characteristic change characteristics of the second delay information characteristic;
and performing correlation data extraction on the thread characteristic distribution according to flight data demand information corresponding to the second delay information characteristic to obtain a thread correction parameter of the second flight data identification thread.
An information processing system for application to a drone, comprising a server and a target drone in communication with each other, the server being configured to:
acquiring first data delay information of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
obtaining second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread, wherein the second data delay information is matched with the first data delay information;
and correcting the second flight data identification thread according to the first data delay information and the second data delay information.
By applying the method, the device and the system, first data delay information of online flight data corresponding to a target unmanned aerial vehicle in a first flight data identification thread is obtained firstly, second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread is obtained secondly, the second data delay information is matched with the first data delay information, and finally the second flight data identification thread is corrected according to the first data delay information and the second data delay information. So, can revise in order to reduce flight delay error the flight data identification thread of unmanned aerial vehicle.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of an information processing method applied to an unmanned aerial vehicle according to an embodiment of the present invention.
Fig. 2 is a functional block diagram of an information processing apparatus applied to an unmanned aerial vehicle according to an embodiment of the present invention.
Fig. 3 is a schematic frame diagram of an information processing system applied to an unmanned aerial vehicle according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of a hardware structure of a server according to an embodiment of the present invention.
Detailed Description
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
Referring to fig. 1, an information processing method applied to a drone is shown, including the following steps S11-S13.
And step S11, obtaining first data delay information of the online flight data corresponding to the target unmanned aerial vehicle in the first flight data identification thread.
Step S12, second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread is obtained, and the second data delay information is matched with the first data delay information.
And correcting the second flight data identification thread according to the first data delay information and the second data delay information.
By applying the method, first data delay information of online flight data corresponding to a target unmanned aerial vehicle in a first flight data identification thread is obtained firstly, second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread is obtained secondly, the second data delay information is matched with the first data delay information, and finally the second flight data identification thread is corrected according to the first data delay information and the second data delay information. So, can revise in order to reduce flight delay error the flight data identification thread of unmanned aerial vehicle.
Optionally, in step S21, the obtaining first data delay information of the online flight data corresponding to the target drone in the first flight data identification thread includes: acquiring a first delay information characteristic of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
optionally, in step S22, the obtaining second data delay information of the online flight data corresponding to the target drone in the thread running interval corresponding to the second flight data identification thread includes: obtaining a second delay information characteristic of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread;
optionally, in step S23, the modifying the second flight data identification thread according to the first data delay information and the second data delay information includes: and correcting the second flight data identification thread according to the first delay information characteristic and the second delay information characteristic.
Optionally, in step S23, the modifying the second flight data identification thread according to the first delay information characteristic and the second delay information characteristic includes:
acquiring first feature similarity information of at least two first delay description features on the first delay information feature;
acquiring second feature similarity information of at least two second delay description features on the second delay information feature;
and correcting the second flight data identification thread according to the first feature similarity information of the at least two first delay description features, the second feature similarity information of the at least two second delay description features and the flight data requirement information corresponding to the second delay information features.
Optionally, in step S23, the modifying the second flight data identification thread according to the first feature similarity information of the at least two first delay description features, the second feature similarity information of the at least two second delay description features, and the flight data requirement information corresponding to the second delay information features includes:
identifying thread feature distribution of a thread by adopting first feature similarity information of the at least two first delay description features and the second flight data, and representing second feature similarity information of a target second delay description feature matched with the at least two first delay description features on the second delay information feature;
using second feature similarity information of the at least two second delay description features to represent feature change features of the second delay information features;
acquiring flight data demand information corresponding to the second delay information characteristic according to second characteristic similarity information of the target second delay description characteristic and characteristic change characteristics of the second delay information characteristic;
and performing correlation data extraction on the thread characteristic distribution according to flight data demand information corresponding to the second delay information characteristic to obtain a thread correction parameter of the second flight data identification thread.
Referring to fig. 2 in combination, an information processing apparatus 200 applied to a drone is shown, including:
a first obtaining module 210, configured to obtain first data delay information of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
a second obtaining module 220, configured to obtain second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread, where the second data delay information is matched with the first data delay information;
a thread modification module 230, configured to modify the second flight data identification thread according to the first data delay information and the second data delay information.
Optionally, the first obtaining module 210 is configured to: acquiring a first delay information characteristic of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
a second obtaining module 220, configured to: obtaining a second delay information characteristic of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread;
a thread modification module 230 configured to: and correcting the second flight data identification thread according to the first delay information characteristic and the second delay information characteristic.
Optionally, the thread modification module 230 is configured to:
acquiring first feature similarity information of at least two first delay description features on the first delay information feature;
acquiring second feature similarity information of at least two second delay description features on the second delay information feature;
and correcting the second flight data identification thread according to the first feature similarity information of the at least two first delay description features, the second feature similarity information of the at least two second delay description features and the flight data requirement information corresponding to the second delay information features.
Optionally, the thread modification module 230 is configured to:
identifying thread feature distribution of a thread by adopting first feature similarity information of the at least two first delay description features and the second flight data, and representing second feature similarity information of a target second delay description feature matched with the at least two first delay description features on the second delay information feature;
using second feature similarity information of the at least two second delay description features to represent feature change features of the second delay information features;
acquiring flight data demand information corresponding to the second delay information characteristic according to second characteristic similarity information of the target second delay description characteristic and characteristic change characteristics of the second delay information characteristic;
and performing correlation data extraction on the thread characteristic distribution according to flight data demand information corresponding to the second delay information characteristic to obtain a thread correction parameter of the second flight data identification thread.
Referring to fig. 3, an information processing system 100 for a drone is provided, including a server 110 and a target drone 120 in communication with each other, the target drone 110 being configured to perform thread simulation of a building material, the server 110 being configured to:
acquiring first data delay information of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
obtaining second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread, wherein the second data delay information is matched with the first data delay information;
and correcting the second flight data identification thread according to the first data delay information and the second data delay information.
Referring to fig. 4, a hardware block diagram of the server 110 is provided.
Fig. 4 is a block diagram illustrating a server 110 according to an embodiment of the present invention. The server 110 in the embodiment of the present invention may be a server with data storage, transmission, and processing functions, as shown in fig. 4, the server 110 includes: memory 111, processor 112, network module 113, and information processing device 200 applied to the drone.
The memory 111, the processor 112, and the network module 113 are electrically connected directly or indirectly to enable transmission or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 111 stores therein the information processing apparatus 200 applied to the drone, the information processing apparatus 200 applied to the drone includes at least one software functional module which may be stored in the memory 111 in the form of software or firmware (firmware), and the processor 112 executes various functional applications and data processing by running a software program and a module stored in the memory 111, for example, the information processing apparatus 200 applied to the drone in the embodiment of the present invention, so as to implement the information processing method applied to the drone in the embodiment of the present invention.
The Memory 111 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 111 is used for storing a program, and the processor 112 executes the program after receiving the execution instruction.
The processor 112 may be an integrated circuit chip having data processing capabilities. The Processor 112 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The network module 113 is used for establishing communication connection between the server 110 and other communication terminal devices through a network, and implementing transceiving operation of network signals and data. The network signal may include a wireless signal or a wired signal.
It will be appreciated that the configuration shown in fig. 4 is merely illustrative and that server 110 may include more or fewer components than shown in fig. 4 or have a different configuration than shown in fig. 4. The components shown in fig. 4 may be implemented in hardware, software, or a combination thereof.
An embodiment of the present invention also provides a computer-readable storage medium, which includes a computer program. The computer program controls the server 110 where the readable storage medium is executed to execute the following information processing method applied to the drone.
In summary, by applying the method, the apparatus, and the system, first data delay information of online flight data corresponding to a target unmanned aerial vehicle in a first flight data identification thread is obtained, second data delay information of online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread is obtained, the second data delay information is matched with the first data delay information, and finally the second flight data identification thread is corrected according to the first data delay information and the second data delay information. So, can revise in order to reduce flight delay error the flight data identification thread of unmanned aerial vehicle.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part thereof, which essentially contributes to the prior art, can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, an electronic device 10, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (9)
1. An information processing method applied to an unmanned aerial vehicle is characterized by comprising the following steps:
acquiring first data delay information of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
obtaining second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread, wherein the second data delay information is matched with the first data delay information;
and correcting the second flight data identification thread according to the first data delay information and the second data delay information.
2. The method of claim 1,
the obtaining of the first data delay information of the online flight data corresponding to the target unmanned aerial vehicle in the first flight data identification thread includes: acquiring a first delay information characteristic of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
the obtaining of the second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in the thread running interval corresponding to the second flight data identification thread includes: obtaining a second delay information characteristic of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread;
the modifying the second flight data identification thread according to the first data delay information and the second data delay information includes: and correcting the second flight data identification thread according to the first delay information characteristic and the second delay information characteristic.
3. The method of claim 2, wherein modifying the second flight data identification thread based on the first latency information characteristic and the second latency information characteristic comprises:
acquiring first feature similarity information of at least two first delay description features on the first delay information feature;
acquiring second feature similarity information of at least two second delay description features on the second delay information feature;
and correcting the second flight data identification thread according to the first feature similarity information of the at least two first delay description features, the second feature similarity information of the at least two second delay description features and the flight data requirement information corresponding to the second delay information features.
4. The method according to claim 3, wherein the modifying the second flight data identification thread according to the first feature similarity information of the at least two first delay description features, the second feature similarity information of the at least two second delay description features, and the flight data requirement information corresponding to the second delay information features comprises:
identifying thread feature distribution of a thread by adopting first feature similarity information of the at least two first delay description features and the second flight data, and representing second feature similarity information of a target second delay description feature matched with the at least two first delay description features on the second delay information feature;
using second feature similarity information of the at least two second delay description features to represent feature change features of the second delay information features;
acquiring flight data demand information corresponding to the second delay information characteristic according to second characteristic similarity information of the target second delay description characteristic and characteristic change characteristics of the second delay information characteristic;
and performing correlation data extraction on the thread characteristic distribution according to flight data demand information corresponding to the second delay information characteristic to obtain a thread correction parameter of the second flight data identification thread.
5. An information processing device applied to an unmanned aerial vehicle, comprising:
the first obtaining module is used for obtaining first data delay information of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
a second obtaining module, configured to obtain second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread, where the second data delay information is matched with the first data delay information;
and the thread correction module is used for correcting the second flight data identification thread according to the first data delay information and the second data delay information.
6. The apparatus of claim 5,
a first obtaining module to: acquiring a first delay information characteristic of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
a second obtaining module to: obtaining a second delay information characteristic of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread;
a thread modification module to: and correcting the second flight data identification thread according to the first delay information characteristic and the second delay information characteristic.
7. The apparatus of claim 6, wherein the thread modification module is configured to:
acquiring first feature similarity information of at least two first delay description features on the first delay information feature;
acquiring second feature similarity information of at least two second delay description features on the second delay information feature;
and correcting the second flight data identification thread according to the first feature similarity information of the at least two first delay description features, the second feature similarity information of the at least two second delay description features and the flight data requirement information corresponding to the second delay information features.
8. The apparatus of claim 7, wherein the thread modification module is configured to:
identifying thread feature distribution of a thread by adopting first feature similarity information of the at least two first delay description features and the second flight data, and representing second feature similarity information of a target second delay description feature matched with the at least two first delay description features on the second delay information feature;
using second feature similarity information of the at least two second delay description features to represent feature change features of the second delay information features;
acquiring flight data demand information corresponding to the second delay information characteristic according to second characteristic similarity information of the target second delay description characteristic and characteristic change characteristics of the second delay information characteristic;
and performing correlation data extraction on the thread characteristic distribution according to flight data demand information corresponding to the second delay information characteristic to obtain a thread correction parameter of the second flight data identification thread.
9. An information processing system applied to a drone, comprising a server and a target drone which communicate with each other, the server being configured to:
acquiring first data delay information of online flight data corresponding to the target unmanned aerial vehicle in a first flight data identification thread;
obtaining second data delay information of the online flight data corresponding to the target unmanned aerial vehicle in a thread running interval corresponding to a second flight data identification thread, wherein the second data delay information is matched with the first data delay information;
and correcting the second flight data identification thread according to the first data delay information and the second data delay information.
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