CN116707535A

CN116707535A - Flight data decoding method, device, computer equipment and storage medium

Info

Publication number: CN116707535A
Application number: CN202310640749.1A
Authority: CN
Inventors: 吕玮; 张发良; 卢志恒; 许乔若; 袁洁; 张鑫; 王亚科
Original assignee: Xiamen Airlines Co Ltd
Current assignee: Xiamen Airlines Co Ltd
Priority date: 2023-05-31
Filing date: 2023-05-31
Publication date: 2023-09-05

Abstract

The present application relates to a method, an apparatus, a computer device, a storage medium and a computer program product for decoding flight data. The method comprises the following steps: acquiring the decoding configuration and flight data of the aircraft; cutting the flight data into data intervals of the super frame numbers according to the super frame numbers in the decoding configuration; in the data interval of the super frame number, correcting the sub-frame number in the decoding configuration through the super frame number to obtain a corrected sub-frame number corresponding to the super frame number; and respectively carrying out flight data decoding on the corrected subframe number corresponding to the super frame number in each navigation section. The method can solve the problems of sub-frame jump and super-frame break, so that the accuracy of flight data decoding is improved.

Description

Flight data decoding method, device, computer equipment and storage medium

Technical Field

The present application relates to the field of aviation technology, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for decoding flight data.

Background

The data (Quick Access Recorder, QAR) of the quick access logger was initially used to conduct investigation and analysis of flight incidents/events. QAR data is now widely used in various stages of flight. The process of extracting data from a fast access recorder is a decoding process that requires the data to be converted into engineering values in turn.

In the conventional technology, in the process of decoding QAR data, broken frames, data jump or other types of dirty data exist, and the dirty data can cause a large amount of sensor data to be wasted, so that the decoding accuracy is low.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a flight data decoding method, apparatus, computer device, computer readable storage medium, and computer program product that can improve the accuracy of decoding sensor data.

In a first aspect, the present application provides a method for decoding flight data. The method comprises the following steps:

acquiring the decoding configuration and flight data of the aircraft;

cutting the flight data into data intervals of the super frame numbers according to the super frame numbers in the decoding configuration;

in the data interval of the super frame number, correcting the sub-frame number in the decoding configuration through the super frame number to obtain a corrected sub-frame number corresponding to the super frame number;

and respectively carrying out flight data decoding on the corrected subframe number corresponding to the super frame number in each navigation section.

In one embodiment, before the step of cutting the flight data into the data intervals of each super frame number according to the super frame number in the decoding configuration, the method further includes:

Performing file format detection on the flight data of the aircraft to determine that the flight data accords with the format conditions of flight data decoding;

and if the positions and the intervals of the synchronous words in the flight data meeting the format conditions meet the synchronous word conditions of the flight data, determining that the flight data meets the frame length conditions.

In one embodiment, in the data interval of the super frame number, the correcting the sub frame number in the decoding configuration by the super frame number to obtain the corrected sub frame number corresponding to each super frame number includes:

in the flight data interval of each super frame number, determining the position corresponding relation between each sub-frame number and each super frame number;

calculating a check value of each sub-frame number according to a preset numerical corresponding relation between each sub-frame number and each super-frame number;

and determining the subframe number, in which the check value and the position corresponding relation are matched, as a corrected subframe number corresponding to each super frame number.

In one embodiment, the decoding the flight data of the corrected subframe number corresponding to the superframe number in each leg includes:

Determining a decoding configuration parameter obtained by converting the sensor configuration parameter of the aircraft;

respectively configuring a decoding mapping relation between the corrected subframe number corresponding to the super frame number and the flight data in each navigation section according to decoding configuration parameters; the flight segments are flight data segments divided according to jumps of flight phases;

and mapping the flight data to storage positions indicated by the corrected subframe numbers corresponding to the super frame numbers in sequence according to the decoding mapping relation in each navigation segment.

In one embodiment, the decoding mapping relationship includes each sensor parameter of the leg and a decoding frequency of each sensor parameter;

the mapping the flight data to the storage position indicated by the corrected subframe number corresponding to the super frame number according to the decoding mapping relation comprises the following steps:

determining a storage interval of each sensor parameter according to the decoding frequency of the sensor parameter;

and in the storage interval, the numerical value of each sensor parameter is respectively stored in a storage position indicated by the corrected subframe number corresponding to the super frame number.

In one embodiment, the method further comprises:

Determining the flight state of the aircraft according to the value corresponding to the flight state parameter; wherein the flight state parameter is a sensor parameter for determining the flight state;

cutting the flight data into data to be decoded in the flight section according to a preset flight phase conversion relation and the flight state;

and respectively performing flight data decoding on the corrected subframe number corresponding to the super frame number in each navigation section, wherein the method comprises the following steps:

and respectively carrying out decoding processing on the data to be decoded on the corrected subframe number corresponding to the super frame number in each navigation segment.

In one embodiment, the method further comprises:

determining the time of the aircraft to fly off the ground, the landing time and the aircraft registration number according to the flight phase of the aircraft;

if the aircraft registration number is the same as the aircraft registration number in the flight table and the difference between the aircraft departure time and the aircraft departure time in the flight table is within a duration difference threshold, determining the flight number matched with the aircraft from the flight table according to the aircraft registration number; or,

if the aircraft registration number is the same as the aircraft registration number in the flight table and the difference between the aircraft landing time and the aircraft landing time in the flight table is within the duration difference threshold, determining the flight number matched with the aircraft from the flight table according to the aircraft registration number;

And correlating the flight data of the aircraft with the flight number matched with the aircraft.

In a second aspect, the application also provides a flight data decoding device. The device comprises:

the data acquisition module is used for acquiring the decoding configuration and flight data of the aircraft;

the data cutting module is used for cutting the flight data into data intervals of the super frame numbers according to the super frame numbers in the decoding configuration;

a sub-frame number correction module, configured to correct a sub-frame number in the decoding configuration according to the super-frame number in the data interval of the super-frame number, so as to obtain a corrected sub-frame number corresponding to the super-frame number;

and the data decoding module is used for respectively decoding the flight data of the corrected subframe number corresponding to the super frame number in each navigation section.

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executed implements the steps of flight data decoding in any of the embodiments described above.

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of decoding flight data in any of the embodiments described above.

In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, performs the steps of decoding flight data in any of the embodiments described above.

The flight data decoding method, the device, the computer equipment, the storage medium and the computer program product acquire the decoding configuration and the flight data of the aircraft; cutting the flight data into data intervals of the super frame numbers according to the super frame numbers in the decoding configuration, and forming intervals with thicker data granularity; in the data interval of the super frame number, the sub-frame number in the decoding configuration is corrected through the super frame number, so that the data with the data granularity of the sub-frame is corrected, the possibility of sub-frame jump and super frame break is reduced, and the data error repair accuracy of the time sequence type parameters in the flight data is higher; and finally, respectively carrying out flight data decoding on the corrected sub-frame numbers corresponding to the super frame numbers in each navigation section, so that the accurate corrected parameters finish the decoding process.

Drawings

FIG. 1 is a diagram of an application environment for a method of decoding flight data in one embodiment;

FIG. 2 is a flow chart of a method of decoding flight data according to one embodiment;

FIG. 3 is a block diagram of a flight data decoder in one embodiment;

fig. 4 is an internal structural diagram of a computer device in one embodiment.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

Decoding is used to convert raw data recorded in a binary arrangement in a recorder (DFDR or QAR or DAR) into a unitary engineering data value. Decoding is the reverse process of recording, and the key point is to clear the mapping relation of the ARINC717 specification. The decoding is used to faithfully restore the parameter values of the flight parameters recorded by the recorder (DFDR, QAR or DAR). In the conventional manual decoding step, firstly, the recording position (Subframe, word, bits, superframe Cycle) port of the parameter is found out according to the Data recording map, the original value of the parameter is obtained according to the parameter type (BNR, BCD, discrete, etc.) defined in the aircraft parameter specification manual, and then the engineering value of the parameter is calculated according to the parameter defined in the aircraft parameter specification manual, which requires manual configuration of the whole decoding process by the user, and has low efficiency.

The recorder includes a Quick Access Recorder (QAR); nodes for which flight data of the fast access recorder may be used include, but are not limited to: the method comprises the steps of flight quality monitoring, state and performance monitoring of an airplane and an engine, fuel consumption, flight operation monitoring in the aspects of a way and the like, perfecting and optimizing airplane design, trial flight and troubleshooting, pilot training and various flight related thematic researches, wherein the flight related thematic researches can be the study of dimensions such as turbulence, heavy landing and the like.

The flight data decoding method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart airborne devices, and the like. The portable wearable device may be a headset device or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. Unless specifically emphasized, the solutions in this case may be implemented in a server, or may be implemented in a terminal.

In one embodiment, as shown in fig. 2, a method for decoding flight data is provided, and the method is applied to the terminal 102 in fig. 1 for illustration, and includes the following steps:

step 202, obtaining decoding configuration and flight data of the aircraft.

The decoding configuration specifies frame lengths of the flight data at different data granularity levels and is used to determine a preset sequence number of a superframe, frame or subframe, i.e., a preset superframe number, frame number or subframe number. If the flight data is directly decoded and filled into a preset super frame number, frame number or sub frame number, the problems caused by the acquisition of the flight data or other reasons can cause the data obtained by decoding the flight data to generate broken frames, data jump or other types of dirty data. The flight data is the data to be decoded recorded by the quick access recorder.

In an alternative embodiment, obtaining the decoded configuration and flight data of the aircraft includes: acquiring a quick access recorder file in a quick access recorder; a configuration mapping machine number extracted according to the name of the quick access recorder file; determining a configuration list according to the numerical value corresponding to the configuration mapping machine number; and extracting flight data to be decoded from the quick access recorder file. Alternatively, the decoded configuration and flight data of the aircraft may be data obtained directly from a file. Optionally, the flight data is QAR data, the overall structure of which is divided by frames, and the time lengths of different frames are divided into superframes, frames and subframes in sequence from large to small, wherein 1 superframe comprises 16 frames, 1 frame comprises 4 subframes, 1 subframe stores 1 second of data, each subframe comprises 256 word slots or other number of word slots according to the configuration, and the data obtained by decoding the QAR data is stored through the word slots.

Illustratively, the ARINC717 specification or other specifications may be followed in the data recording process by the DFDR, QAR, or DAR. Taking the ARINC717 specification as an example, the data is recorded in a Frame-by-Frame (Frame) cycle, each Frame of data is 4 seconds, each second of data is a Subframe or Subframe (Subframe), and the memory space of each Subframe may be 64 words, 128 words, 256 words, 512 words or 1024 words, each word has 12 data bits (bits), and specific flight parameter values are stored in the words and the data bits; wherein the first word of a sub-frame per second is a syncword including, but not limited to, a Teledyne format syncword or a Hamilton format syncword.

In one embodiment, obtaining decoded configuration and flight data of an aircraft includes: acquiring a quick storage recorder file from a quick storage recorder of the airplane; determining an aircraft number according to the identification of the quick storage recorder file, and determining a corresponding decoding configuration according to the aircraft number; the data in the fast memory recorder file is used as flight data.

In one exemplary embodiment, obtaining decoded configuration and flight data of an aircraft includes: and acquiring task information to be decoded from a task schedule, wherein the task information comprises an HDFS storage path of the QAR. And the terminal acquires file contents in the quick memory from the big data platform according to the HDFS path, wherein the file contents can be compressed flight data files such as ZIP files.

In one exemplary embodiment, the method further comprises the steps of obtaining the decoded configuration and flight data of the aircraft, and further comprising: and searching a decoding configuration and a decoding basic version according to the number of the airplane, and inquiring basic information of the airplane, wherein the basic information of the airplane comprises information such as a long machine type, a short machine type and the like.

In one embodiment, before the flight data is cut into data intervals of each super frame number according to the super frame number in the decoding configuration, the method further comprises: detecting the file format of the flight data of the aircraft, and determining that the flight data accords with the format conditions of flight data decoding; and if the positions and the intervals of the synchronous words in the flight data meeting the format conditions meet the synchronous word conditions of the flight data, determining that the flight data meets the frame length conditions.

In one embodiment, performing file format detection on flight data of an aircraft to determine that the flight data meets a format condition for flight data decoding includes: decompressing the flight data to obtain decompressed flight data; judging whether the decompressed flight data is in one of preset formats; if yes, determining that the flight data accords with the format condition of the flight data decoding so as to convert the flight data into a binary format.

In one embodiment, if the position and the interval of each syncword in the flight data meeting the format conditions meet the syncword conditions of the flight data, determining that the flight data meets the frame length conditions includes: in the flight data conforming to the format condition, respectively marking subframe positions according to the first synchronous words; judging whether a first synchronous word with different positions exists at the position of the next subframe with the current subframe position being a first preset synchronous word interval or not from the current subframe position respectively marked by the first synchronous word, if so, the flight data meets the synchronous word condition of the first synchronous word; in the flight data conforming to the format condition, respectively marking the subframe positions according to the second synchronous words; judging whether a second synchronous word with different positions exists at the position of the next subframe with the position of the second synchronous word being a second preset synchronous word interval or not from the position of the current subframe marked by the second synchronous word respectively, if so, the flight data meets the synchronous word condition of the second synchronous word; and similarly, when the flight data accords with the frame length condition of each synchronous word, determining that the flight data accords with the frame length condition.

The first synchronization word and the second synchronization word are two opposite synchronization words, and the first preset synchronization word interval and the second preset synchronization word interval can be the same or different data intervals. The QAR data is filtered by format and syncword conditions to facilitate the acquisition of appropriate flight data and decoding configurations.

Illustratively, certain QAR data has 4 syncwords, 0247, 05B8, 0A47, 0DB8, which are first and second syncwords with respect to each other. The 4 sync words are all displayed in 16-ary format, 0247 marks the first subframe start position, 05B8 marks the second subframe start position, 0a47 marks the third subframe start position, and 0DB8 marks the fourth subframe start position. Searching the first synchronous word from the QAR binary content, marking the position, and searching the 2 nd, 3 rd and 4 th synchronous words after searching the 1 st synchronous word. From the mark position back across 512 x (n+1), 512 x (n+2), 512 x (n+3) bytes, n from 1 to 10, if a certain n satisfies that the 3 bytes content is 05B8, 0a47, 0DB8, the frame length is 512 x n/2, if no sync word satisfying this condition is found, it indicates that the QAR data content is not satisfactory, and the import is terminated.

In one embodiment, before the flight data is cut into data intervals of each super frame number according to the super frame number in the decoding configuration, the method further comprises: cutting the flight data into sub-intervals of each sub-frame number according to the sub-frame number in the decoding configuration; if the content of the flight data has the syncword missing region, skipping the data of the syncword missing region, and continuing to cut other flight data regions.

Illustratively, the QAR raw binary content is cut into one sub-frame, the QAR raw binary content is logically cut into one sub-frame according to 4 sync words, 0247, 05B8, 0A47, 0DB8, if a block of data content does not have 4 sync words, this data is ignored, and the boundary position of each sub-frame is marked.

Step 204, according to the super frame number in the decoding configuration, the flight data is cut into data sections of each super frame number.

The super frame numbers are used for splitting the flight data, so that the flight data form a data interval with data granularity of super frames, and the data obtained by decoding the flight data are respectively identified by the super frame numbers. The flight data is cut into data intervals of each super frame number, so that a decoding relation between sensor parameters in the flight data and the super frame number is established, and the sensor parameters with the same data granularity as the super frame number are decoded and filled into the data intervals of each super frame number.

In an alternative embodiment, the step of cutting the flight data into data intervals of each super frame number according to the super frame number in the decoding configuration includes: orderly dividing the flight data according to the super frame number sequence in the decoding configuration to obtain a flight data interval sequence corresponding to the super frame number sequence; the flight data sections corresponding to the super frame number sequence are arranged according to the super frame number sequence of the super frame number sequence.

In an alternative embodiment, the cutting the flight data into data intervals of each super frame number according to the super frame number in the decoding configuration includes: and determining respective frame numbers belonging to the same super frame number according to the corresponding relation between the sub-frame numbers and the super frame numbers, and combining the sub-frames identified by the sub-frame numbers into respective data sections of the super frame numbers. Illustratively, all subframes belonging to the same superframe are classified into the same class and marked. All subframes are split into superframes according to the superframe.

In step 206, in the data interval of the super frame number, the sub-frame number in the decoding configuration is corrected by the super frame number, and the corrected sub-frame number corresponding to the super frame number is obtained.

The sub-frame numbers are used for decoding the flight data in the data interval of the super-frame numbers, so that the flight data are decoded according to the data granularity of the sub-frames, the data obtained by decoding the flight data are respectively refined and marked by the sub-frame numbers, decoded data corresponding to the sub-frame numbers are formed, and the specific data of the sensor parameters are decoded according to the sub-frame numbers. Illustratively, after the data of the quick access recorder is divided, the sensor parameter X is divided into the data section of the super frame number a, and the data of the sensor parameter X per second is sequentially decoded by the sub frame numbers A1, a2.

The corrected subframe number corresponding to the superframe number is obtained by correcting the subframe number in the data section through the superframe number according to the data mapping relation between the superframe number and the subframe number. Optionally, in the data interval of the super frame number, correcting the subframe number in the decoding configuration by the super frame number to obtain a corrected subframe number corresponding to the super frame number, including: and in the data section of the super frame number, each sub-frame number belonging to the same data section is corrected according to each super frame number, and the corrected sub-frame number corresponding to the super frame number is obtained. The sub-frame number is corrected by the super-frame number, namely, the sub-frame number in a short time period is corrected by the super-frame number in a long time period, so that the ignored sub-frame number is not used for data decoding of the flight data.

In one embodiment, in a data section of a super frame number, a sub frame number in a decoding configuration is corrected by the super frame number, and a corrected sub frame number corresponding to each super frame number is obtained, including: in the flight data interval of each super frame number, determining the position corresponding relation between each sub-frame number and each super frame number; calculating the check value of each sub-frame number according to the preset numerical corresponding relation between each sub-frame number and each super-frame number; among the sub-frame numbers, the sub-frame number whose check value matches the position correspondence is determined as the corrected sub-frame number corresponding to each super-frame number.

The position corresponding relation between each subframe number and each super frame number is that the flight data are divided according to the time sequence relation by the calculated subframe number and super frame number respectively, and the flight data interval divided by the subframe number and the super frame number respectively is obtained; and comparing the sub-frame positions with the super-frame positions which are arranged in sequence according to the flight data intervals divided by the sub-frame numbers and the super-frame numbers. The preset numerical correspondence between the subframe number and the superframe number is used for mapping the subframe number into a check value of the subframe number from the numerical angle of the subframe number and the superframe number, and judging whether the subframe number corresponds to the superframe number or not according to the check value.

In an alternative embodiment, determining the position correspondence between each sub-frame number and each super-frame number in the flight data section of each super-frame number includes: dividing flight data through the super frame number and the sub frame number to obtain flight data intervals of the super frame numbers and flight data intervals of the sub frame numbers; according to the position of the binary file, if the flight data interval of the target sub-frame number is arranged in the flight data interval of the target super-frame number, determining that a position corresponding relation exists between the target sub-frame number and the target super-frame number; the target subframe number is any one of the subframe numbers, and the target superframe number is any one of the superframe numbers. Therefore, the frame numbers are calculated through the target super frame numbers and the target sub frame numbers respectively, and the target position corresponding relation between the target sub frame numbers and the target super frame numbers is determined, so that the verification of the target position corresponding relation is facilitated.

In one embodiment, calculating the check value of each subframe number according to the preset numerical correspondence between each subframe number and each superframe number includes: and mapping each subframe number into a check value of each subframe number according to a preset numerical mapping relation between each subframe number and each superframe number.

In an optional embodiment, determining, in each subframe number, a subframe number in which the check value matches the position correspondence as a corrected subframe number corresponding to each superframe number, includes: in each subframe number, comparing each check value with a superframe number indicated by the corresponding relation of each position to obtain a check value different from the superframe number; among the sub-frame numbers, a sub-frame number other than the sub-frame number to which a check value different from the super-frame number belongs is determined as a corrected sub-frame number corresponding to each super-frame number. Therefore, the check values are compared with the super frame numbers indicated by the corresponding relation of the positions, and the process of carrying out flight data decoding by omitting the sub frame numbers to which the check values different from the super frame numbers belong is omitted, so that the data cleaning process is more accurately completed.

In an exemplary embodiment, acfc is a subframe number and aSFC is a superframe number. If it is determined that 4 subframes belong to the same frame according to the time sequence position, the subframe numbers of the 4 subframes belong to the data section of the same frame, and the data section of one superframe consists of 16 subframes, and the superframe numbers of all subframes belonging to the same superframe are the same. According to the definition of aDFC and aSFC parameters, aDFC and aSFC of each subframe are decoded, 4096 modulo operation is carried out on aDFC to obtain an operation result, and if the result value is inconsistent with the decoded super frame number value, the subframe is ignored. And sequentially cycling, and calculating the subframe number and the super frame number of each subframe, so that the subframe number is corrected through the super frame number, and the problems of frame breaking and hopping are solved.

In this embodiment, according to the position correspondence between each subframe number and each superframe number and the preset numerical correspondence between the subframe number and the superframe number, the subframe number is mapped to a check value of the subframe number from the numerical angle of the subframe number and the superframe number, and whether the relationship between the subframe number and the superframe number is matched is determined according to the check value, so that the subframe number is corrected by the superframe number, and the problems of frame interruption and hopping are solved: the error repair accuracy of the time sequence type parameter data of the decoding result reaches more than 95%, and the accuracy of the parameter decoding result reaches more than 99%.

And step 208, respectively performing flight data decoding on the corrected subframe number corresponding to the super frame number in each navigation segment.

The leg is a flight data segment that is partitioned according to a flight phase jump based process. When the flight phase of a certain aircraft jumps, the aircraft may have a certain abnormal condition, and the flight data decoding is performed on the corrected subframe number corresponding to the superframe number through the flight segment, so that the possible abnormal condition of the flight segment can be clarified.

In one embodiment, in each leg, performing flight data decoding on the corrected subframe number corresponding to the superframe number, including: respectively carrying out flight data decoding on each super frame number in each navigation section; in the process of decoding the flight data of each super frame number, determining the super frame number of each sensor parameter according to the decoding mapping relation configured between the sensor parameter and the super frame number; and decoding the data of each sensor parameter according to each sub-frame number belonging to the same data section in the data section divided by the super-frame number of each sensor parameter.

In one embodiment, in each leg, performing flight data decoding on the corrected subframe number corresponding to the superframe number, including: determining a decoding configuration parameter obtained by converting sensor configuration parameters of the aircraft; respectively configuring a decoding mapping relation between the corrected subframe number corresponding to the superframe number and the flight data in each navigation section according to the decoding configuration parameters; the flight segments are flight data segments divided according to jumps of flight phases; and respectively mapping the flight data to storage positions indicated by the corrected subframe numbers corresponding to the super frame numbers in sequence according to the decoding mapping relation in each navigation segment.

In one embodiment, determining a decoded configuration parameter resulting from conversion of a sensor configuration parameter of an aircraft includes: determining a matched target sensor configuration parameter from the sensor configuration parameters based on the aircraft type and the flight time information of the aircraft; the sensor configuration parameters are configuration information in the storage process; and converting the target sensor configuration parameters into decoding configuration parameters according to the metadata of the target sensor configuration parameters.

The sensor configuration parameters are used to configure the sensor parameters in the storage process to store values of at least a portion of the sensor parameters in respective storage locations. Because the sensor configuration parameters are set for the storage positions, the data storage positions of the sensor parameters can be quickly determined through the sensor configuration parameters, and then the corresponding data of the sensor parameters can be acquired. The airplane type and the flight time information are two dimensions of a configuration file of a set sensor, and the airplane type is calculated according to a certain flight batch and is used for determining a certain batch of airplanes; the time of flight information is used to determine a date or other time period during the flight. The sensor profile may be formulated, generated, or modified by the departure lot and departure date of the aircraft, and the target sensor profile may be determined by the departure lot and departure date, respectively.

The metadata is structural data of the target sensor configuration parameters for describing the target sensor parameters so that the target sensor configuration parameters can be accurately converted into the target sensor configuration parameters. For example: the parameter name, the parameter description, the parameter type, the subframe configuration, the parameter symbol identification and the parameter sampling frequency are metadata, and the configuration data corresponding to the parameter name, the parameter description, the parameter type, the subframe configuration, the parameter symbol identification and the parameter sampling frequency are target sensor configuration parameters; correspondingly, the parameter values corresponding to the parameter names, the parameter descriptions, the parameter types, the subframe configuration, the parameter symbol identifiers and the parameter sampling frequencies are the parameter values of the sensor parameters configured by the target sensor configuration parameters.

And the decoding mapping relation between the corrected subframe number corresponding to the super frame number and the flight data is used for determining the corresponding relation between each sensor parameter and the super frame number so as to decode according to the super frame and each subframe in the super frame according to the data divided according to the super frame.

The navigation segment is a flight data segment divided according to the jump of the flight phase, when the jump of the conversion relation existing between the identified flight phases is determined, the numerical value decoding of the sensor parameters can be carried out one by one superframe according to the flight data segment forming the navigation segment, and the data of each sensor parameter are mapped to the storage position indicated by the corrected subframe number corresponding to the superframe number in sequence, so that the decoding process of the flight data is realized.

In an alternative embodiment, upon identifying the flight phase, the following 26 parameters are preferably decoded: aN11, aN12, aN21, aN22, aCAS, aAIRGND, aALTSTD, aHEADING, aDFC, aSFC, aYEAR, aMONTH, aDAY, aGMTH, aGMTM, aGMTS, aLDGDWNL, aGS, aFF1, aFF2, aFLAP, aLONGACC, aCTF1, aCTF2. Using these 26 parameters, the flight segment indicated by the hopped flight phase is identified and business logic is performed to cut the QAR data into segments while representing the flight phase value of the QAR data for each second.

In one exemplary embodiment, the QAR data is logically processed for each leg according to the leg cut business process. And inquiring PARAMETER configuration of the parameter_ DIFINITION, AIRCRAFT _parameter_version table according to the machine number and the QAR file date, and obtaining the latest and valid PARAMETER configuration. And decoding according to the super frames according to the data which is cut according to the super frames.

In one embodiment, the decoding mapping relationship includes each sensor parameter of the leg and a decoding frequency of each sensor parameter. According to the decoding mapping relation, mapping the flight data to the storage position indicated by the corrected subframe number corresponding to the super frame number in sequence, including: determining a storage interval of each sensor parameter according to the decoding frequency of the sensor parameter; in the storage section, the values of the sensor parameters are stored in the storage positions indicated by the corrected subframe numbers corresponding to the super frame numbers.

In an alternative embodiment, determining the storage interval for each sensor parameter according to the decoding frequency of the sensor parameter includes: determining a storage interval positively correlated to the decoding frequency of the sensor parameter; the storage section may be a data section of a superframe or a data section of a subframe.

In one embodiment, storing the values of the sensor parameters in the storage locations indicated by the corrected subframe numbers corresponding to the superframe numbers, respectively, includes: storing the numerical value of each sensor parameter in each second to the storage position indicated by the corrected subframe number corresponding to the super frame number; wherein the sensor parameters are in one-to-one correspondence with the superframe numbers.

In an exemplary embodiment, all parameters with a frequency of 1/64, i.e. the parameter values are recorded once for 64 seconds, are decoded first, and one superframe is 16 subframes, i.e. 64 seconds of data, and the superframe parameters are in one-to-one correspondence with the superframe concept. All parameters with the frequency of 1/64 are decoded, and all null superframe parameters of 16 subframes are filled. Second, the parameters with a decoding frequency of 1hz, i.e. 1 second, are recorded 1 time, since every second there is a record, without filling other subframes in the super frame. Then, the parameters with the decoding frequency greater than 1hz, i.e. the parameters recorded for 1 second for more than 1 time, are called high-frequency parameters for short, and since the high-frequency parameters have a plurality of recorded values for 1 second, the high-frequency parameters need to be stored by a list, and all values are stored by the list according to the time sequence. Then, the decoding frequency is less than 1hz and greater than 1/64 of the parameters, which are referred to as low frequency parameters. The low frequency parameters are 1/2 and 1/4, which means that the value is recorded once in 2 seconds and recorded once in 4 seconds. And so on, the subframe values for each frame are padded according to the parameter frequency. When decoding data of one frame, storing all decoding values in a orc file, sequentially and circularly decoding all subframes and storing all data.

The parameter frequency is used for configuring the converted subframe with a parameter value, acquiring flight data according to the corresponding parameter sampling frequency, and decoding the acquired flight data.

In one embodiment, the method further comprises: determining the flight state of the aircraft according to the value corresponding to the flight state parameter; wherein the flight state parameter is a sensor parameter for judging the flight state; and cutting the flight data into data to be decoded in the flight section according to a preset flight phase conversion relation and a flight state.

Correspondingly, in each navigation segment, the flight data decoding is carried out on the corrected subframe number corresponding to the super frame number, and the method comprises the following steps: and respectively carrying out decoding processing on the data to be decoded on the corrected subframe number corresponding to the super frame number in each navigation segment.

In an alternative embodiment, according to a preset flight phase conversion relation and a flight state, cutting the flight data into data to be decoded in the flight segment includes: judging whether the flight data have conversion relations which accord with the preset flight phases according to the flight states, if not, determining the flight data to be decoded in the same flight segment according to the flight phases between the jump conditions.

In an optional embodiment, determining whether the flight data accords with a preset flight phase conversion relationship according to the flight state, if not, determining that the flight data is to be decoded in the same flight segment according to the flight phase between jump conditions includes: if the flight phase is converted into the unknown phase according to the flight state and the determined flight phase, determining that the flight data does not accord with the preset flight phase conversion relation, and determining the flight data as the data to be decoded in the same flight segment according to the flight phases among the unknown phases.

In a specific embodiment, the flight phase is shown in table 1 and the jump condition is shown in table 2;

TABLE 1

TABLE 2

Sequence number	Cutting position	Cutting point (expressed by "\|)
			1	Parking->Start&Push(Engine Start)	13->\|1
2	Taxi In->Takeoff	12->\|3
			3	Start&Push->Unknown(Real-Time Jump)	1->\|14
4	Taxi Out->Unknown(Real-time Jump)	2->\|14
			5	Enroute->Unknown(Real-time Jump)	7->\|14
6	Parking->Unknown(Real-time Jump)	13->\|14
			7	Unknown->Unknown(Real-time Jump)	0->\|14
8	Roll Out->Unknown(Real-time Jump)	11->\|14
			9	Parking->Unknown(Suddenly Airborne)	13->\|16
10	Taxi In->Unknown(Suddenly Airborne)	12->\|16

In an exemplary embodiment, the method further comprises the step of determining that the flight data is in accordance with a preset flight phase transition relationship based on the flight status. The method specifically comprises the following steps: determining the flight phase of the target aircraft as a slip-out phase; if the time length of detecting that the rotation speed of the at least one low-pressure rotor exceeds the preset take-off rotation speed is longer than the preset rotation speed time length, or the time length of detecting that the fuel flow of the at least one engine exceeds the preset take-off flow is longer than the preset take-off flow time length, determining that the target aircraft meets the take-off driving condition; if the detected longitudinal acceleration exceeds the preset take-off acceleration or the detected ground speed is within the preset take-off speed interval, determining that the target aircraft meets the take-off speed condition; when the target aircraft in the sliding-out stage meets the take-off driving condition and the take-off speed condition, changing the flight stage into a take-off stage;

In one embodiment, the method further comprises: determining the time of the aircraft to fly off the ground, the landing time and the aircraft registration number according to the flight phase of the aircraft; if the aircraft registration number is the same as the aircraft registration number in the flight table and the difference between the aircraft departure time and the aircraft departure time in the flight table is within a duration difference threshold, determining the flight number matched with the aircraft from the flight table according to the aircraft registration number; or if the aircraft registration number is the same as the aircraft registration number in the flight table and the difference between the aircraft landing time and the aircraft landing time in the flight table is within the duration difference threshold, determining the flight number matched with the aircraft from the flight table according to the aircraft registration number; the flight data of the aircraft is associated with the flight number to which the aircraft matches.

The flight phase of the aircraft, the aircraft departure time, the aircraft landing time and the aircraft registration number are all identified according to the sensor parameters in the rapid storage recorder, and the aircraft registration number, the aircraft departure time and the aircraft landing time in the flight table are all preset in other terminals or servers. Therefore, the two are required to be matched to determine the flight number matched with the airplane to be correlated, and the flight data is analyzed.

In one exemplary embodiment, the first flight phase of Initial Climb is found from the beginning of the file based on the cut leg, and if the last second flight phase was Take Off or project Take Off, the last second time is taken as the aircraft departure time. If not found, the aircraft departure time is set to be empty.

The last flight phase from the end of the file to the Roll Out was found, and this second was taken as the landing ground time of the aircraft. If not, the first flight phase is found from the end of the file to be the Decend or Apprach or Go Around flight phase, and the second is taken as the landing grounding time of the airplane. If not found, the aircraft landing grounding time is set to be empty.

And matching the found airplane departure time, the found airplane landing time and the found airplane registration number with the airplane registration number, the found airplane departure time and the found airplane landing time in the flight table, if the airplane registration number is identical, and the difference between the airplane departure time and the found airplane departure time in the flight table is within 10 minutes, or the found airplane registration number is identical, and the found airplane landing time is within 10 minutes, the QAR data and the flight are successfully matched, corresponding association records are made in the table, and decoding is carried out.

Therefore, after the aircraft is registered for matching, the flight number matched with the aircraft is searched through at least one time of the aircraft departure time and the aircraft landing time. To quickly and accurately determine a particular flight.

In the flight data decoding method, the decoding configuration and the flight data of the aircraft are obtained; according to the super frame numbers in the decoding configuration, the flight data are cut into data intervals of each super frame number, and the intervals with thicker data granularity are formed; in the data interval of the super frame number, the sub-frame number in the decoding configuration is corrected by the super frame number, so that the data with the data granularity of the sub-frame is corrected, the possibility of the jump of the sub-frame and the break of the super frame is reduced, and the data error repair accuracy of the time sequence type parameters in the flying data is higher and the repair accuracy is more than 95 percent; and finally, respectively carrying out flight data decoding on the corrected subframe number corresponding to the super frame number in each navigation section, so that the accurately corrected parameter finishes the decoding process, and the accuracy of the parameter decoding result is more than 99%.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a flight data decoding device for realizing the above-mentioned flight data decoding method. The implementation of the solution provided by the device is similar to that described in the above method, so the specific limitation of one or more embodiments of the flight data decoding device provided below may refer to the limitation of the flight data decoding method hereinabove, and will not be repeated herein.

In one embodiment, as shown in fig. 3, there is provided a flight data decoding apparatus including:

the data acquisition module 302 is configured to acquire decoding configuration and flight data of the aircraft;

a data cutting module 304, configured to cut the flight data into data intervals of each super frame number according to the super frame number in the decoding configuration;

a subframe number correction module 306, configured to correct, in a data interval of the super frame number, a subframe number in the decoding configuration by using the super frame number, so as to obtain a corrected subframe number corresponding to the super frame number;

and the data decoding module 308 is configured to decode the flight data of the corrected subframe number corresponding to the superframe number in each leg.

In one embodiment, the data acquisition module 302 is configured to:

In one embodiment, the subframe number correction module 306 is configured to:

In one embodiment, the data decoding module 308 is configured to:

the data decoding module 308 is configured to:

In one embodiment, the data acquisition module 302 is configured to:

the subframe number correction module 306 is configured to:

In one embodiment, the data acquisition module 302 is configured to:

The various modules in the flight data decoding apparatus described above may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of decoding flight data. The display unit of the computer equipment is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device, wherein the display screen can be a liquid crystal display screen or an electronic ink display screen, the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on a shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.

It will be appreciated by persons skilled in the art that the architecture shown in fig. 4 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.

In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.

It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims

1. A method of decoding flight data, the method comprising:

acquiring the decoding configuration and flight data of the aircraft;

2. The method of claim 1, wherein prior to said slicing said flight data into data intervals of each of said super frame numbers according to the super frame numbers in said decoding configuration, said method further comprises:

3. The method of claim 1, wherein the step of correcting the subframe number in the decoding configuration by the super frame number in the data interval of the super frame number to obtain the corrected subframe number corresponding to each super frame number includes:

4. The method of claim 1, wherein decoding the flight data for the modified subframe number corresponding to the superframe number in each leg comprises:

5. The method of claim 4, wherein the decoding mapping relationship includes each sensor parameter of the leg and a decoding frequency of each sensor parameter;

6. The method according to claim 1, wherein the method further comprises:

7. The method according to claim 1, wherein the method further comprises:

8. A flight data decoding device, the device comprising:

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.

10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.