CN117762992A - Flight data processing method and device, electronic equipment and readable storage medium - Google Patents

Flight data processing method and device, electronic equipment and readable storage medium Download PDF

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Publication number
CN117762992A
CN117762992A CN202311791030.4A CN202311791030A CN117762992A CN 117762992 A CN117762992 A CN 117762992A CN 202311791030 A CN202311791030 A CN 202311791030A CN 117762992 A CN117762992 A CN 117762992A
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flight data
original flight
original
analysis
data frame
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黄长波
汪明
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Beijing Aerospace Data Co ltd
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Beijing Aerospace Data Co ltd
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Priority to CN202311791030.4A priority Critical patent/CN117762992A/en
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Abstract

The application provides a method and a device for processing flight data, electronic equipment and a readable storage medium, wherein the method comprises the following steps: dividing an original flight data stream to obtain a plurality of original flight data frames; determining an original flight data frame to be allocated from the original flight data frames which are not allocated to any analysis thread; according to the current analysis task amount of each analysis thread, selecting the analysis thread with the least analysis task amount from a plurality of analysis threads, distributing the original flight data frame to be distributed to the analysis thread, and repeatedly executing the steps to determine the original flight data frame to be distributed and the subsequent steps from the original flight data frame which is not distributed to any analysis thread until all the original flight data frames are distributed to the corresponding analysis threads; the analysis thread is used for analyzing the original flight data frame distributed to the analysis thread to obtain analyzed target flight data. By the method, the analysis speed and the analysis efficiency of the flight data are improved.

Description

Flight data processing method and device, electronic equipment and readable storage medium
Technical Field
The present disclosure relates to the field of aerospace technologies, and in particular, to a method and apparatus for processing flight data, an electronic device, and a readable storage medium.
Background
With the development of aviation technology, more and more aircraft flight data are recorded, and various parameters reflecting the running state of the aircraft in the running process of the aircraft are usually recorded in the flight data, including the running state of the aircraft and the working state of various systems of the aircraft. The flight data can be widely applied to various aviation application systems such as event investigation, flight quality monitoring, aircraft state monitoring, aircraft maintenance and the like.
The flight data obtained from each system of the aircraft is usually binary flight data, but the binary flight data cannot be directly applied to each aviation application system, and the binary flight data needs to be analyzed, so that the analyzed flight data can be applied to each aviation application system. The analysis speed of binary flight data is slower due to the larger amount of flight data at present.
Disclosure of Invention
In view of the foregoing, an object of the present application is to provide a method, an apparatus, an electronic device, and a readable storage medium for processing flight data, so as to improve the analysis speed and efficiency of the flight data.
In a first aspect, an embodiment of the present application provides a method for processing flight data, including:
dividing an original flight data stream to obtain a plurality of original flight data frames;
determining an original flight data frame to be allocated from the original flight data frames which are not allocated to any analysis thread;
according to the current analysis task amount of each analysis thread, selecting the analysis thread with the least analysis task amount from a plurality of analysis threads, distributing the original flight data frame to be distributed to the analysis thread, and repeatedly executing the steps to determine the original flight data frame to be distributed and the subsequent steps from the original flight data frame which is not distributed to any analysis thread until all the original flight data frames are distributed to the corresponding analysis threads; the analysis thread is used for analyzing the original flight data frames distributed to the analysis thread to obtain analyzed target flight data.
With reference to the first aspect, an embodiment of the present application provides a first possible implementation manner of the first aspect, where before dividing the original flight data stream to obtain a plurality of original flight data frames, the method further includes:
obtaining the original flight data stream from a target data recorder; wherein the original flight data stream on the aircraft is transmitted in binary form over the 429 bus for recording into the target data recorder; the target data logger is disposed on the aircraft.
With reference to the first aspect, the embodiments of the present application provide a second possible implementation manner of the first aspect, wherein the original flight data stream includes a plurality of sync words; the positions of the synchronous words in the original flight data stream are different; the dividing the original flight data stream to obtain a plurality of original flight data frames includes:
and dividing the original flight data stream through each synchronous word to obtain a plurality of original flight data frames.
With reference to the first aspect, the embodiments of the present application provide a third possible implementation manner of the first aspect, where each of the original flight data frames carries an acquisition time; the determining the original flight data frame to be allocated from the original flight data frame which is not allocated to any analysis thread comprises the following steps:
and determining the original flight data frame with the earliest acquisition time from the original flight data frames which are not allocated to any analysis thread according to the sequence of the acquisition time, and taking the original flight data frame with the earliest acquisition time as the original flight data frame to be allocated.
With reference to the first aspect, the embodiments of the present application provide a fourth possible implementation manner of the first aspect, wherein the parsing thread parses the original flight data frame allocated to itself by:
selecting an unresolved original flight data frame from all the original flight data frames distributed to the resolving thread as an original flight data frame to be resolved currently;
decoding the original flight data in the original flight data frame to be analyzed by using a decoding mapping table to obtain decoded flight parameters;
determining a target dictionary corresponding to the original flight data frame to be analyzed from a plurality of dictionaries according to the decoding flight parameters;
and analyzing the original flight data in the original flight data frame to be analyzed by using the target dictionary to obtain analyzed target flight data.
With reference to the fourth possible implementation manner of the first aspect, the embodiment of the present application provides a fifth possible implementation manner of the first aspect, wherein the selecting, from each original flight data frame allocated to the parsing thread, an unresolved original flight data frame as the original flight data frame to be parsed includes:
and selecting the original flight data frame with the forefront allocation sequence from the unresolved original flight data frames as the original flight data frame to be resolved currently according to the allocation sequence of each original flight data frame in the resolution thread.
With reference to the third possible implementation manner of the first aspect, the present embodiment provides a sixth possible implementation manner of the first aspect, where the method further includes:
receiving the parsed target flight data from each parsing thread;
storing the target flight data into a specified database according to the sequence of the acquisition time corresponding to each target flight data; the acquisition time corresponding to the target flight data is the acquisition time carried by the original flight data frame corresponding to the target flight data.
In a second aspect, an embodiment of the present application further provides a processing device for flight data, including:
the dividing module is used for dividing the original flight data stream to obtain a plurality of original flight data frames;
the determining module is used for determining an original flight data frame to be allocated from the original flight data frames which are not allocated to any analysis thread;
the allocation module is used for selecting an analysis thread with the least analysis task amount from a plurality of analysis threads according to the current analysis task amount of each analysis thread, allocating the original flight data frame to be allocated to the analysis thread, and repeatedly executing the steps to determine the original flight data frame to be allocated and the subsequent steps from the original flight data frame which is not allocated to any analysis thread until all the original flight data frames are allocated to the corresponding analysis threads; the analysis thread is used for analyzing the original flight data frames distributed to the analysis thread to obtain analyzed target flight data.
With reference to the second aspect, embodiments of the present application provide a first possible implementation manner of the second aspect, where the method further includes:
the acquisition module is used for acquiring the original flight data stream from the target data recorder before the original flight data stream is divided by the division module to obtain a plurality of original flight data frames; wherein the original flight data stream on the aircraft is transmitted in binary form over the 429 bus for recording into the target data recorder; the target data logger is disposed on the aircraft.
With reference to the second aspect, embodiments of the present application provide a second possible implementation manner of the second aspect, wherein the original flight data stream includes a plurality of sync words; the positions of the synchronous words in the original flight data stream are different; the dividing module is used for dividing the original flight data stream to obtain a plurality of original flight data frames, and is specifically used for:
and dividing the original flight data stream through each synchronous word to obtain a plurality of original flight data frames.
With reference to the second aspect, embodiments of the present application provide a third possible implementation manner of the second aspect, where the method further includes a parsing module, where the parsing module is configured to parse the original flight data frame allocated to the parsing thread by:
selecting an unresolved original flight data frame from all the original flight data frames distributed to the resolving thread as an original flight data frame to be resolved currently;
decoding the original flight data in the original flight data frame to be analyzed by using a decoding mapping table to obtain decoded flight parameters;
determining a target dictionary corresponding to the original flight data frame to be analyzed from a plurality of dictionaries according to the decoding flight parameters;
and analyzing the original flight data in the original flight data frame to be analyzed by using the target dictionary to obtain analyzed target flight data.
With reference to the fourth possible implementation manner of the second aspect, the embodiment of the present application provides a fifth possible implementation manner of the second aspect, where the parsing module is configured to select, from each original flight data frame allocated to the parsing thread, an unresolved original flight data frame as a current original flight data frame to be parsed, where the parsing module is specifically configured to:
and selecting the original flight data frame with the forefront allocation sequence from the unresolved original flight data frames as the original flight data frame to be resolved currently according to the allocation sequence of each original flight data frame in the resolution thread.
With reference to the third possible implementation manner of the second aspect, the embodiment of the present application provides a sixth possible implementation manner of the second aspect, where the method further includes:
the receiving module is used for receiving the parsed target flight data from each parsing thread;
the storage module is used for storing the target flight data into a specified database according to the sequence of the acquisition time corresponding to each target flight data; the acquisition time corresponding to the target flight data is the acquisition time carried by the original flight data frame corresponding to the target flight data.
In a third aspect, embodiments of the present application further provide an electronic device, including: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory in communication via the bus when the electronic device is running, the machine-readable instructions when executed by the processor performing the steps of any one of the possible implementations of the first aspect.
In a fourth aspect, the present embodiments also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the possible implementations of the first aspect described above.
The embodiment of the application provides a processing method, a processing device, electronic equipment and a readable storage medium of flight data, wherein a plurality of original flight data frames are obtained by dividing an original flight data stream; determining an original flight data frame to be allocated from the original flight data frames which are not allocated to any analysis thread; according to the current analysis task amount of each analysis thread, selecting the analysis thread with the least analysis task amount from a plurality of analysis threads, distributing the original flight data frame to be distributed to the analysis thread, and repeatedly executing the steps to determine the original flight data frame to be distributed and the subsequent steps from the original flight data frame which is not distributed to any analysis thread until all the original flight data frames are distributed to the corresponding analysis threads; the analysis thread is used for analyzing the original flight data frames distributed to the analysis thread to obtain analyzed target flight data. In the embodiment, the original flight data stream is analyzed in parallel through the multi-analysis thread, so that the analysis speed and the analysis efficiency of the original flight data stream are improved.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart illustrating a method for processing flight data according to an embodiment of the present application;
FIG. 2 illustrates a schematic diagram of an original flight data flow provided by an embodiment of the present application;
fig. 3 is a schematic structural diagram of a flight data processing device according to an embodiment of the present application;
fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
Considering that the amount of flight data is large, the problem of slower parsing speed of binary flight data is caused. Based on this, the embodiments of the present application provide a method, an apparatus, an electronic device, and a readable storage medium for processing flight data, so as to improve the analysis speed and efficiency of the flight data, and the following description will be made by using embodiments.
Embodiment one:
for the convenience of understanding the present embodiment, a detailed description will be first given of a method for processing flight data disclosed in the embodiments of the present application. Fig. 1 shows a flowchart of a method for processing flight data according to an embodiment of the present application, as shown in fig. 1, including the following steps:
s101: dividing an original flight data stream to obtain a plurality of original flight data frames;
s102: determining an original flight data frame to be allocated from the original flight data frames which are not allocated to any analysis thread;
s103: according to the current analysis task amount of each analysis thread, selecting the analysis thread with the least analysis task amount from a plurality of analysis threads, distributing the original flight data frame to be distributed to the analysis thread, and repeatedly executing the steps to determine the original flight data frame to be distributed and the subsequent steps from the original flight data frame which is not distributed to any analysis thread until all the original flight data frames are distributed to the corresponding analysis threads; the analysis thread is used for analyzing the original flight data frames distributed to the analysis thread to obtain analyzed target flight data.
In step S101, the original flight data stream is specifically a binary flight data stream, and the machine learning model and the deep learning model cannot identify the binary flight data stream, so that the binary flight data stream needs to be parsed, and after the parsed target flight data is obtained, the machine learning model and/or the deep learning model are trained by using the target flight data.
In this embodiment, the raw flight data stream comprises any one or more of the following: an aircraft operational altitude data stream, an aircraft operational speed data stream, an aircraft operational attitude data stream, an aircraft operational heading data stream, an aircraft operational roll data stream, an aircraft operational longitude and latitude data stream, an aircraft operational acceleration data stream, an aircraft operational engine data stream, an aircraft operational fuel data stream, an aircraft operational hydraulic data stream, an aircraft operational flight control system data stream, an aircraft operational rudder deflection data stream, an aircraft operational landing gear data stream, an aircraft operational door data stream. Wherein, the data flow refers to the data corresponding to each time in a plurality of times. For example, for an aircraft altitude data stream, the aircraft altitude data stream refers to the respective aircraft altitude at each time during the aircraft operation.
Fig. 2 shows a schematic diagram of an original flight data stream provided in an embodiment of the present application, where each small lattice is used as an original flight data frame, and all the small lattices are used as original flight data streams, as shown in fig. 2. For example, when the raw flight data stream includes an aircraft altitude data stream and an aircraft operating speed data stream, then the first grid in FIG. 2 may be the first time of flight altitude and aircraft operating speed and the second grid may be the second time of flight altitude and aircraft operating speed.
In step S102, there are a plurality of parsing devices, and each parsing device is respectively operated with a plurality of parsing threads, and the parsing threads do not affect each other. The original flight data frame to be allocated may be any of the original flight data frames that are not allocated to any of the parsing threads.
In step S103, in this embodiment, the processing method of flight data is applied to a server, and the server obtains the current analysis task amount of each analysis thread from each analysis device. The current parsing task amount of a parsing thread refers to the number of original flight data frames that have been allocated to the parsing thread, but that have not been processed by the parsing thread.
After the original flight data frames to be allocated are allocated to the analysis thread, the analysis thread analyzes each original flight data frame in turn according to the allocation sequence of each original flight data frame allocated to the analysis thread and the allocation sequence from first to last.
In this embodiment, all the parsing threads may process the respective parsing tasks in parallel, without affecting each other.
In a possible embodiment, before performing step S101, the following steps may be further performed:
acquiring an original flight data stream from a target data recorder; wherein the original flight data stream on the aircraft is transmitted in binary form over the 429 bus for recording into the target data recorder; the target data logger is disposed on the aircraft.
In this embodiment, the target data logger may be a fast access logger (QAR) or a digital flight data logger (Digital Flight Data Recorder, DFDR). The target data recorder is an on-board device of an airplane and is arranged on the airplane. The raw flight data streams in the various systems of the aircraft are transmitted in binary form on a 429 bus, which complies with the ARINC429 specification, and are recorded in the target data recorder after transmission, typically in compliance with the ARINC717 specification. The server obtains the recorded original flight data stream from the target data recorder in a wireless transmission mode.
In one possible implementation, the original flight data stream contains a plurality of sync words; the positions of different synchronous words in the original flight data stream are different; in executing step S101, the following steps may be specifically performed:
and dividing the original flight data stream by each synchronous word to obtain a plurality of original flight data frames.
In this embodiment, the sync word refers to a header, and the header of each original flight data frame is one of the sync words.
In one possible implementation, each original flight data frame carries an acquisition time; in executing step S102, the following steps may be specifically performed:
and determining the original flight data frame with the earliest acquisition time from the original flight data frames which are not allocated to any analysis thread as the original flight data frame to be allocated according to the sequence of the acquisition time.
In this embodiment, the acquisition time refers to the time at which each system of the aircraft acquired the original frame of flight data.
In one possible implementation, for each parsing thread, the parsing thread parses the original flight data frame assigned to itself by:
selecting an unresolved original flight data frame from all the original flight data frames distributed to the resolving thread as an original flight data frame to be resolved currently;
decoding the original flight data in the original flight data frame to be analyzed by using a decoding mapping table to obtain decoded flight parameters;
determining a target dictionary corresponding to the original flight data frame to be analyzed from a plurality of dictionaries according to the decoding flight parameters;
and analyzing the original flight data in the original flight data frame to be analyzed by using the target dictionary to obtain analyzed target flight data.
In this embodiment, the decoding mapping table includes a one-to-one mapping relationship between the original flight data and the decoding flight parameters. The decoded flight parameters mapped by the original flight data can be found from the decoded mapping table.
In one possible implementation manner, when the executing step selects one unresolved original flight data frame from the original flight data frames allocated to the resolving thread as the current original flight data frame to be resolved, the executing step may be performed according to the following steps:
and selecting the original flight data frame with the forefront allocation sequence from the unresolved original flight data frames as the original flight data frame to be resolved currently according to the allocation sequence of each original flight data frame in the resolution thread. The allocation order refers to the order allocated to the analysis thread.
Or randomly selecting an unresolved original flight data frame from the original flight data frames distributed to the resolving thread as the original flight data frame to be resolved currently.
In one possible embodiment, the following steps may also be performed:
receiving parsed target flight data from each parsing thread;
storing the target flight data into a designated database according to the sequence of the acquisition time corresponding to each target flight data; the acquisition time corresponding to the target flight data is the acquisition time carried by the original flight data frame corresponding to the target flight data.
In this embodiment, the server may receive parsed target flight data from the parsing thread of each parsing device, each target flight data corresponding to a respective acquisition time.
And storing the target flight data into a form in a specified database according to the sequence of the acquisition time corresponding to each target flight data, so that the target flight data are all stored in the form after analysis.
The machine learning model and/or the deep learning model may be learned using the target flight data to generate mathematical models related to aircraft operation, such as event survey reasoning models, flight quality monitoring models, aircraft state monitoring models, aircraft maintenance assistance models, and the like.
Embodiment two:
based on the same technical concept, the present application further provides a device for processing flight data, and fig. 3 shows a schematic structural diagram of the device for processing flight data provided in the embodiment of the present application, as shown in fig. 3, where the device includes:
the dividing module 301 is configured to divide the original flight data stream to obtain a plurality of original flight data frames;
a determining module 302, configured to determine an original flight data frame to be allocated from original flight data frames that are not allocated to any parsing thread;
the allocation module 303 is configured to select, according to a current parsing task amount of each parsing thread, a parsing thread with a smallest parsing task amount from a plurality of parsing threads, allocate the original flight data frame to be allocated to the parsing thread, and repeatedly execute the steps to determine the original flight data frame to be allocated and subsequent steps from the original flight data frames that are not allocated to any parsing thread until all the original flight data frames are allocated to the corresponding parsing threads; the analysis thread is used for analyzing the original flight data frames distributed to the analysis thread to obtain analyzed target flight data.
Optionally, the method further comprises:
an obtaining module, configured to obtain an original flight data stream from a target data recorder before the dividing module 301 divides the original flight data stream to obtain a plurality of original flight data frames; wherein the original flight data stream on the aircraft is transmitted in binary form over the 429 bus for recording into the target data recorder; the target data logger is disposed on the aircraft.
Optionally, the original flight data stream includes a plurality of sync words; the positions of the synchronous words in the original flight data stream are different; the dividing module 301 is configured to, when configured to divide an original flight data stream to obtain a plurality of original flight data frames, specifically:
and dividing the original flight data stream through each synchronous word to obtain a plurality of original flight data frames.
Optionally, the system further comprises a parsing module, wherein the parsing module is used for parsing the original flight data frame distributed to the parsing thread in the following manner:
selecting an unresolved original flight data frame from all the original flight data frames distributed to the resolving thread as an original flight data frame to be resolved currently;
decoding the original flight data in the original flight data frame to be analyzed by using a decoding mapping table to obtain decoded flight parameters;
determining a target dictionary corresponding to the original flight data frame to be analyzed from a plurality of dictionaries according to the decoding flight parameters;
and analyzing the original flight data in the original flight data frame to be analyzed by using the target dictionary to obtain analyzed target flight data.
Optionally, the parsing module is configured to, when selecting an unresolved original flight data frame from the original flight data frames allocated to the parsing thread as the original flight data frame to be parsed, specifically:
and selecting the original flight data frame with the forefront allocation sequence from the unresolved original flight data frames as the original flight data frame to be resolved currently according to the allocation sequence of each original flight data frame in the resolution thread.
Optionally, the method further comprises:
the receiving module is used for receiving the parsed target flight data from each parsing thread;
the storage module is used for storing the target flight data into a specified database according to the sequence of the acquisition time corresponding to each target flight data; the acquisition time corresponding to the target flight data is the acquisition time carried by the original flight data frame corresponding to the target flight data.
Embodiment III:
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application, including: the electronic device comprises a processor 401, a memory 402 and a bus 403, wherein the memory 402 stores machine readable instructions executable by the processor 401, and when the electronic device runs the information processing method, the processor 401 communicates with the memory 402 through the bus 403, and the processor 401 executes the machine readable instructions to execute the method steps described in the first embodiment.
Embodiment four:
the present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the method steps described in embodiment one.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus, electronic device and computer readable storage medium described above may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed method, apparatus electronic device, and computer readable storage medium may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, and for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the foregoing examples are merely specific embodiments of the present application, and are not intended to limit the scope of the present application, but the present application is not limited thereto, and those skilled in the art will appreciate that while the foregoing examples are described in detail, the present application is not limited thereto. Any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or make equivalent substitutions for some of the technical features within the technical scope of the disclosure of the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method of processing flight data, comprising:
dividing an original flight data stream to obtain a plurality of original flight data frames;
determining an original flight data frame to be allocated from the original flight data frames which are not allocated to any analysis thread;
according to the current analysis task amount of each analysis thread, selecting the analysis thread with the least analysis task amount from a plurality of analysis threads, distributing the original flight data frame to be distributed to the analysis thread, and repeatedly executing the steps to determine the original flight data frame to be distributed and the subsequent steps from the original flight data frame which is not distributed to any analysis thread until all the original flight data frames are distributed to the corresponding analysis threads; the analysis thread is used for analyzing the original flight data frames distributed to the analysis thread to obtain analyzed target flight data.
2. The method of claim 1, wherein prior to dividing the original flight data stream to obtain the plurality of original flight data frames, further comprising:
obtaining the original flight data stream from a target data recorder; wherein the original flight data stream on the aircraft is transmitted in binary form over the 429 bus for recording into the target data recorder; the target data logger is disposed on the aircraft.
3. The method of claim 1, wherein the original flight data stream includes a plurality of sync words; the positions of the synchronous words in the original flight data stream are different; the dividing the original flight data stream to obtain a plurality of original flight data frames includes:
and dividing the original flight data stream through each synchronous word to obtain a plurality of original flight data frames.
4. The method of claim 1, wherein each of the original frames of flight data carries an acquisition time; the determining the original flight data frame to be allocated from the original flight data frame which is not allocated to any analysis thread comprises the following steps:
and determining the original flight data frame with the earliest acquisition time from the original flight data frames which are not allocated to any analysis thread according to the sequence of the acquisition time, and taking the original flight data frame with the earliest acquisition time as the original flight data frame to be allocated.
5. The method of claim 1, wherein the parsing thread parses the original frames of flight data assigned to itself by:
selecting an unresolved original flight data frame from all the original flight data frames distributed to the resolving thread as an original flight data frame to be resolved currently;
decoding the original flight data in the original flight data frame to be analyzed by using a decoding mapping table to obtain decoded flight parameters;
determining a target dictionary corresponding to the original flight data frame to be analyzed from a plurality of dictionaries according to the decoding flight parameters;
and analyzing the original flight data in the original flight data frame to be analyzed by using the target dictionary to obtain analyzed target flight data.
6. The method according to claim 5, wherein selecting an unresolved original flight data frame from the original flight data frames allocated to the resolving thread as the original flight data frame to be resolved comprises:
and selecting the original flight data frame with the forefront allocation sequence from the unresolved original flight data frames as the original flight data frame to be resolved currently according to the allocation sequence of each original flight data frame in the resolution thread.
7. The method of claim 4, wherein the method further comprises:
receiving the parsed target flight data from each parsing thread;
storing the target flight data into a specified database according to the sequence of the acquisition time corresponding to each target flight data; the acquisition time corresponding to the target flight data is the acquisition time carried by the original flight data frame corresponding to the target flight data.
8. A flight data processing apparatus, comprising:
the dividing module is used for dividing the original flight data stream to obtain a plurality of original flight data frames;
the determining module is used for determining an original flight data frame to be allocated from the original flight data frames which are not allocated to any analysis thread;
the allocation module is used for selecting an analysis thread with the least analysis task amount from a plurality of analysis threads according to the current analysis task amount of each analysis thread, allocating the original flight data frame to be allocated to the analysis thread, and repeatedly executing the steps to determine the original flight data frame to be allocated and the subsequent steps from the original flight data frame which is not allocated to any analysis thread until all the original flight data frames are allocated to the corresponding analysis threads; the analysis thread is used for analyzing the original flight data frames distributed to the analysis thread to obtain analyzed target flight data.
9. An electronic device, comprising: a processor, a memory and a bus, said memory storing machine-readable instructions executable by said processor, said processor and said memory communicating over the bus when the electronic device is running, said machine-readable instructions when executed by said processor performing the steps of the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, performs the steps of the method according to any of claims 1 to 7.
CN202311791030.4A 2023-12-22 2023-12-22 Flight data processing method and device, electronic equipment and readable storage medium Pending CN117762992A (en)

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