CN111179464A - Flight data processing method, file construction, processing device and electronic equipment - Google Patents

Flight data processing method, file construction, processing device and electronic equipment Download PDF

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Publication number
CN111179464A
CN111179464A CN202010005468.5A CN202010005468A CN111179464A CN 111179464 A CN111179464 A CN 111179464A CN 202010005468 A CN202010005468 A CN 202010005468A CN 111179464 A CN111179464 A CN 111179464A
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data
flight data
flight
processing
decoding
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郭伟
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Shenzhen Ruida Flight Technology Co Ltd
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Shenzhen Ruida Flight Technology Co Ltd
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
    • H04L63/0442—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload wherein the sending and receiving network entities apply asymmetric encryption, i.e. different keys for encryption and decryption
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3236—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using cryptographic hash functions
    • H04L9/3239—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using cryptographic hash functions involving non-keyed hash functions, e.g. modification detection codes [MDCs], MD5, SHA or RIPEMD

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  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Hardware Design (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The application discloses a flight data processing method, a file structure, a processing device, an electronic device and a storage medium. The processing method comprises the following steps: acquiring flight data, decoding the flight data, and storing the decoded flight data in a preset file structure. In the embodiment of the application, after the acquired flight data is decoded, the decoding result is stored in the file with the preset structure, the file with the preset structure can effectively control the size of the storage space, and can support quick access to the decoded related parameter information, so that the processing speed of the flight data is effectively improved.

Description

Flight data processing method, file construction, processing device and electronic equipment
Technical Field
The present application relates to the field of flight technologies, and in particular, to a method, a file structure, a processing apparatus, an electronic device, and a storage medium for processing flight data.
Background
The fast read-write recording equipment for recording flight parameters is installed in the airplane, with the continuous and deep research on flight business, researchers have higher and higher requirements on the flight parameters recorded by the fast read-write recording equipment, and airlines increasingly hope to establish a flight parameter data center mainly based on the flight parameters recorded by the fast read-write recording equipment. However, in the related art, when the flight parameters recorded by the fast read-write recording device are saved in the data center, the processing speed is slow, and the occupied space is large.
Disclosure of Invention
The embodiment of the application provides a flight data processing method, a file structure, a processing device, an electronic device and a storage medium.
The flight data processing method according to the embodiment of the application includes:
acquiring flight data;
decoding the flight data;
and storing the flight data subjected to the decoding processing in a preset file structure.
In some embodiments, the predetermined file structure includes a data area and a file index area, and the saving the flight data after the decoding process in the predetermined file structure includes:
storing the decoding result of the flight data in the data area; and
and storing information describing the parameters stored in the data area in the file index area.
In some embodiments, the storing the decoded result of the flight data in the data area includes:
and storing the decoding result of the flight data in the data area by adopting a compression algorithm.
In certain embodiments, the data regions include engineering value data, label data, sensitive data, and application data.
In some embodiments, the saving the information describing the parameters saved in the data area in the file index area includes:
and carrying out unified mapping processing on the names and the parameter units of the parameters.
The typing data file structure according to the embodiment of the present application is used for storing the flight data processed by the processing method.
The flight data processing device according to the embodiment of the present application includes:
the acquisition module is used for acquiring flight data;
the processing module is used for decoding the flight data; and
and the storage module is used for constructing and storing the flight data subjected to the decoding processing in a preset file.
The electronic device of the embodiment of the application comprises a processor, wherein the processor is used for:
acquiring flight data;
decoding the flight data;
and storing the flight data subjected to the decoding processing in a preset file structure.
The electronic device according to an embodiment of the present application includes a processor and a memory, where the memory stores a computer program, and the computer program is executed by the processor to implement the instructions of the flight data processing method according to any one of the above embodiments.
The computer storage medium according to an embodiment of the present application stores a computer program that, when executed by a processor, implements the instructions of the flight data processing method according to any one of the above-described embodiments.
According to the flight data processing method, the flight data file structure, the processing device, the electronic equipment and the storage medium, after the acquired flight data are decoded, the decoding result is stored in the file with the preset structure, the file with the preset structure can effectively control the size of the storage space, quick access to the decoded related parameter information can be supported, and the processing speed of the flight data is effectively improved.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The above and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of a flight data processing method according to an embodiment of the present application.
Fig. 2 is a block diagram of a flight data processing device according to an embodiment of the present application.
Fig. 3 is a structural diagram of a flight data file according to an embodiment of the present application.
Fig. 4 is another flow chart of a flight data processing method according to an embodiment of the present application.
Fig. 5 is another flowchart illustrating a flight data processing method according to an embodiment of the present application.
Fig. 6 is another flowchart illustrating a flight data processing method according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative and are only for the purpose of explaining the present application and are not to be construed as limiting the present application.
Generally, aircraft are equipped with various sensors that collect data, which may be used to detect data such as position, airspeed, altitude, flap position, ambient temperature, cabin temperature, barometric pressure, and engine performance. All Data collected by the sensors will be sent to a Flight Data Acquisition Unit (DFDAU) at the nose of the aircraft. The DFDAU, which is typically located in the electronics bay below the cockpit, acts as an intermediate link throughout the Data recording process, reads the acquired Data from the sensors and transmits it to the flight Recorder (DFDR) via the ARINC429 bus. The ARINC429 bus is a civil aviation digital bus transmission standard established by the american aviation electronic Engineering Committee (ARINC), and specifies the format of the flow of information traffic of the avionics devices using the bus to the ARINC429 basic data words. The data on the ARINC429 bus is recorded on different carriers in ARINC717/747 format by DFDR or a fast read/write Recorder (QAR).
The ARINC717/747 recording format usually records the input flight data in units of "frames", the "frames" are a unit of information recording, the format of the recording information is called a frame structure, the data is recorded cyclically from frame to frame, each frame of data is 4 seconds, each second of data is also called a subframe, each subframe generally has 64 words, 128 words, 256 words and 512 words, each word has 12 data bits, and the flight parameters are filled into the words and the bits.
In the related technology, the QAR devices used by domestic airlines are generally of the type of storage media such as PCMCIA cards, and after an airplane lands on the ground, data recorded by the QAR can be transmitted to a ground base station through a wireless network, and some airplanes which do not support the wireless network need maintenance personnel to replace the storage media to copy the data to the ground base station.
The QAR data is a binary data stream conforming to the ARINC717/747 specification, and data analysts need to decode the data, that is, the recorded data is converted into intuitive engineering values with units, so that the data analysis and application can be well performed, and the actual flight condition and the existing flight hidden danger can be known.
The business analyst can view or derive the engineering values through the associated decoding software, and the engineering value file contains a huge number of parameters, which are usually stored in a CSV format, where each column represents a parameter and each row represents the corresponding value of the parameter per second.
At present, the application based on flight parameters mainly focuses on two fields of flight safety and oil saving, and specifically, for unsafe event analysis, after an airplane lands, QAR data is sent to a ground base station from the airplane, decoding is carried out after data is monitored by decoding software, and event detection is carried out on a decoding result to obtain a series of unsafe events. The business analyst develops an event survey in this way and analyzes the main causes of the event occurrence by playing back the data.
For oil-saving analysis, a parameter exporting template is configured in decoding software, and after decoding is completed by the decoding software, engineering value data is exported according to the template and stored in a CSV file format. The oil saving system takes the oil saving system as an input source to carry out oil saving analysis on each flight.
In the above usage scenarios, decoding software is highly dependent. However, in the related art, the decoding result has unidirectionality, that is, the detection logic or the derived template must be predefined, and if the modification is performed halfway, only the QAR data monitored later is affected, and if the historical flights are to be reprocessed, the modification is performed manually by one operation. And as the recording equipment and storage protocol are upgraded, the historical QAR data will generate many versions, and the decoding software only supports the decoding of the latest version. In addition, the decoding software has a slow processing speed, and the decoding needs about 3 minutes for a flight with 2-hour flight.
The derived CSV file usually contains only some parameters, for example, parameters related to fuel saving, and when other parameters need to be derived, they need to be obtained from the QAR data. And the derived CSV file is large in volume, for example, 1000 parameters are defined in the template, each parameter is output according to the frequency of 1/4Hz, the derived CSV file of a flight with 2 hours of flight typically exceeds 200M, and a flight with more than 10 hours of flight even exceeds 2G, and the derived time also exceeds 30 minutes.
With the continuous and deep business research, the progress of decoding technology and the introduction of big data technology, the requirements for QAR data are higher and higher. Airlines increasingly want to establish a large flight parameter data center mainly based on QAR, which can provide data for original applications and also provide data support for subsequent data mining and analysis.
As a data center, flight parameters should be readable in plain text and complete, including the number of parameters and the frequency of recording. The storage space for flight parameters cannot be too large, resulting in excessive cost of storage resources and limiting the number of historical flights, and in general, a data center should be able to accommodate the storage of flight parameters for historical flights of longer ages, e.g., 5 years. Furthermore, the speed of flight data processing from the QAR to the data center must meet certain requirements, such as a 1 ten thousand flight should be processed for less than 3 hours, which would limit the number of historical flights. Taking a flight department as an example, assuming that it has 700 airplanes, about 3000 flights per day, and about 100 ten thousand flights per year, about 15 days are required for processing 1 year of data and about 75 days are required for processing 5 years of data. Furthermore, the indexing speed of the flight parameters must be fast enough to ensure the timeliness of the application, for example, within 20 minutes after landing of the aircraft, the pilot can see the flight data on the application. The related art cannot satisfy the demand due to the drawbacks as described above.
Referring to fig. 1 and 2, a method for processing flight data according to an embodiment of the present application includes the following steps:
s1, acquiring flight data;
s2, decoding the flight data; and
and S3, storing the decoded flight data in a preset file structure.
The embodiment of the application also provides a flight data file structure which is used for storing the flight data processed by the flight data processing method of the embodiment of the application.
The embodiment of the present application further provides a processing device 10 for flight data, and the processing device 10 includes an obtaining module 12, a processing module 14 and a storage module 16. Step S1 may be implemented by the obtaining module 12, step S2 may be implemented by the processing module 14, and step S3 may be implemented by the storage module 16. That is, acquisition module 12 may be used to acquire flight data. The processing module 14 may be used to decode the flight data. The storage module 16 may be configured to store the decoded flight data in a predetermined file configuration.
The electronic equipment comprises a processor, wherein the processor is used for acquiring flight data, decoding the flight data and storing the decoded flight data in a preset file structure. The processor may be a processor on the ground for a computer processing the flight data, the flight data used for the calculations being recorded by the aircraft's associated sensors and stored in an onboard data logger from which the data recorded therein may be read when the flight lands.
The method and the device have the advantages that the QAR data are decoded by adopting the preset decoding software, the decoding software can be changed and upgraded according to new data requirements of an airline company, the decoding result is stored in a preset file structure, the preset file is the flight data file structure of the embodiment of the application, due to the fact that the specific file system design is adopted, the size of the storage space can be effectively controlled, quick access to the decoded related parameter information can be supported, and the processing speed of the flight data is effectively improved.
Referring to fig. 3 and 4, in some embodiments, the predetermined file structure includes a data area and a file index area, and step S3 includes:
s31, storing the decoded result of the flight data in a data area; and
s32, information describing the parameters saved in the data area is saved in the file index area.
In certain embodiments, step S31 may be implemented by the storage module 16. That is, the storage module 16 is configured to store the decoding result of the flight data in the data area and store the information describing the parameters stored in the data area in the file index area.
In some embodiments, the processor is configured to store the decoded results of the flight data in the data area and store information describing the parameters stored in the data area in the file index area.
Specifically, the flight data file structure in the application comprises a file index area and a data area, after flight data are processed through preset decoding software, a decoding result is stored in the data area, description information of parameters in the data area is stored in the file index area, and the flight data file structure in the application can perform address offset quick access on the data area, namely the whole file is not required to be read, and the numerical value of a certain parameter in a certain second can be read only by calculating an offset address.
Referring to fig. 5, in some embodiments, step S31 includes:
s311, the decoding result of the flight data is stored in a data area by adopting a compression algorithm.
In some embodiments, step S311 may be implemented by the storage module 16, that is, the storage module 16 is configured to store the decoded result of the flight data in the data area by using a compression algorithm.
In some embodiments, the processor is further configured to store the decoded flight data in the data field using a compression algorithm.
Specifically, the decoding result can be saved by adopting, for example, a GZIP compression algorithm, and it can be understood that the size of the storage space is effectively controlled by adopting the compression algorithm, and the data security, openness and expansibility are also ensured.
In this embodiment, the data area includes engineering value data, label data, sensitive data, and application data.
Specifically, the engineering value data is a specific numerical value that converts the binary-coded parameters recorded by the sensors into decimal parameters. All the engineering values of each parameter are stored in a separate area, and the values of the parameters are tiled in bytes. And the first 128 bytes of the data area reservation are used to record the total number of parameter values, the data type of the parameter, and the MD5 check code. The total number of parameter values, e.g. for 1 flight of 2 hours, the recording frequency of a certain parameter is 1Hz, and the total number of parameter values is 7200. The data types for the engineering values may include a reshape, such as an airspeed of 123 knots, a floating point, such as 123.45 degrees longitude, a glyph, such as a takeoff airport zbcaa, and a status code, such as an air-to-ground electric door of 1 or 0. The MD5 check code can prevent the data value from being tampered, and the originality of the data is guaranteed.
The tag data is used for describing flight, pilot and meteorological characteristic information, is derived from the analysis result of engineering values and mainly comprises flight elements, flight phases, flight plans, meteorology and typical measurement parameters, and brings convenience to business application. For example, processing and analyzing engineering value parameters over a certain period of time or over a certain range of heights may result in maximum speed, maximum height, and so forth.
Sensitive data can be used for protecting information related to privacy in tag data, can be stored in an asymmetric encryption mode and acquired through a public key, so that privacy disclosure can be prevented, and data security is guaranteed. Sensitive data may include, for example, pilot personal information, unsafe events, flight numbers and airplane numbers, etc., to provide a viable way for flight data sharing between airlines in the future.
The application data may be used to store data required by existing business applications. Different events correspond to different sets of parameters. Existing services may include, for example, unsafe event analysis, fuel economy analysis, flight procedure visualization, takeoff/landing key phase analysis, and the like.
In the unsafe event analysis, a set of relevant parameter values before and after the occurrence of an event is required. In the oil saving analysis, a set of relevant parameters such as weight, residual oil, fuel consumption rate, longitude and latitude and the like are needed. Relevant parameter sets such as airplane attitude, instrument panels and pilot operation are needed in the visualization of the flight process, and the flight process of the airplane can be restored by adopting a 3D visualization technology. The method comprises the steps that parameter sets of takeoff/landing moments are needed in the analysis of the takeoff/landing key phase, such as longitude and latitude, attitude, gradient, wind, airspeed, ground speed, wheel speed and the like of ground departure/grounding moments.
In addition, the application data also stipulates the range and format of derived parameters for related applications, and a feasible way is provided for standardization of the application data.
Referring to fig. 6, in some embodiments, step S32 includes:
s321 performs a unified mapping process on the names of the parameters and the parameter units.
In some embodiments, S321 may be implemented by the storage module 16, that is, the storage module 16 is configured to perform a unified mapping process on the names and the parameter units of the parameters.
In some embodiments, the processor is further configured to perform a unified mapping process on the names of the parameters and the parameter units.
Specifically, the file index area is used for storing basic information describing each parameter/file of the data area, and mainly includes parameter names, mapping relationships, types, frequencies, units, conversion relationships and file start addresses.
The parameter names are uniformly mapped, so that the name differences of all machine types or all configuration versions can be unified into one name, the parameter names are standardized, and convenience is brought to service application. For example, with respect to space velocity, in the related art, configuration one may be "air speed", configuration two may be "aacs", configuration three may be "_ Cas", and this embodiment may be referred to collectively as "Cas".
Similarly, units of parameters are also mapped uniformly, such as altitude, feet and kilometers, and speed, kilometers per hour and miles per hour.
In addition, the start address of each parameter file is recorded in the file start address, so that the storage location of any engineering value can be calculated by the start address and the size of the storage unit of each engineering value of the parameter, for example, the storage address of the nth engineering value is the start address + n × the size of the storage unit, and rapid reading of data can be realized.
Furthermore, the flight data platform can open an API interface, and related personnel can realize custom data export, timely obtain application data, update flight tags, update time tags, update pilot tags and other operations through the open API interface.
In summary, the flight data file structure of the present application is clear text readable relative to the binary data of the QAR, and has the advantages of fast generation and reading speed, standardization, openness and openness. Compared with CSV data, the data storage device is full-parameter and full-frequency, has small storage space, high generation and reading speed, standardized characteristics and higher safety.
An electronic device according to an embodiment of the present application comprises a processor and a memory, the memory storing a computer program, the computer program, when executed by the processor, implementing a method for processing flight data according to any of the above-described embodiments. The electronic device may be a terminal or a device with data processing capability, such as a personal computer, a tablet computer, a mobile phone, or a personal digital assistant of the ground station, which is not limited herein.
In the electronic device, the processor executes the computer program to decode the acquired flight data, and then stores the decoding result in the file with the preset structure, wherein the file with the preset structure can effectively control the size of the storage space, and can support quick access to the decoded related parameter information, thereby effectively improving the processing speed of the flight data.
A computer storage medium according to an embodiment of the present application stores a computer program which, when executed by a processor, implements a method for processing flight data according to any of the above-described embodiments.
In the description herein, references to the description of the terms "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
While embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that: numerous changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the application, the scope of which is defined by the claims and their equivalents.

Claims (10)

1. A method of processing flight data, comprising:
acquiring flight data;
decoding the flight data;
and storing the flight data subjected to the decoding processing in a preset file structure.
2. The processing method according to claim 1, wherein the predetermined file structure comprises a data area and a file index area, and the saving the flight data subjected to the transcoding in the predetermined file structure comprises:
storing the decoding result of the flight data in the data area; and
and storing information describing the parameters stored in the data area in the file index area.
3. The processing method of claim 2, wherein the saving the decoded results of the flight data in the data area comprises:
and storing the decoding result of the flight data in the data area by adopting a compression algorithm.
4. The process of claim 1, wherein the data regions comprise engineering value data, label data, sensitive data, and application data.
5. The processing method according to claim 1, wherein the saving information describing the parameters saved in the data area in the file index area comprises:
and carrying out unified mapping processing on the names and the parameter units of the parameters.
6. A flight data file construct for storing flight data processed according to the processing method of any one of claims 1 to 5.
7. An apparatus for processing flight data, comprising:
the acquisition module is used for acquiring flight data;
the processing module is used for decoding the flight data; and
and the storage module is used for constructing and storing the flight data subjected to the decoding processing in a preset file.
8. An electronic device, comprising a processor configured to:
acquiring flight data;
decoding the flight data;
and storing the flight data subjected to the decoding processing in a preset file structure.
9. An electronic device, comprising:
one or more processors, memory;
one or more programs, wherein the one or more programs are stored in the memory and executed by the one or more processors, the programs comprising instructions for performing the method of processing flight data according to any one of claims 1-5.
10. A non-transitory computer-readable storage medium that, when executed by one or more processors, causes the processors to perform the method of processing flight data of any one of claims 1-5.
CN202010005468.5A 2020-01-03 2020-01-03 Flight data processing method, file construction, processing device and electronic equipment Pending CN111179464A (en)

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CN206734657U (en) * 2017-03-13 2017-12-12 北京润科通用技术有限公司 The on-board component equipment and system of a kind of dynamic flying performance test
CN108091179A (en) * 2017-12-15 2018-05-29 中国民用航空飞行学院 Aircraft flight real-time status monitoring system based on ATG technologies
CN108417096A (en) * 2018-02-01 2018-08-17 四川九洲电器集团有限责任公司 A kind of state of flight appraisal procedure and system

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Publication number Priority date Publication date Assignee Title
CN115865279A (en) * 2023-02-27 2023-03-28 华南师范大学 Airborne recorded data decoding method and device for airplane, electronic equipment and storage medium
CN115865279B (en) * 2023-02-27 2023-05-02 华南师范大学 Method and device for decoding airborne record data of airplane, electronic equipment and storage medium
CN116488709A (en) * 2023-05-24 2023-07-25 飞天联合（北京）系统技术有限公司 Method and device for generating, converting and transmitting aircraft ACARS (aircraft access control information system) message

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Application publication date: 20200519