Civil aircraft data real-time downloading method and device based on cloud box system

Abstract

The invention discloses a civil aircraft data real-time downloading method and device based on a cloud box system, and relates to the field of aircraft data real-time downloading, and the method comprises the steps: obtaining alarm information of the cloud box system and a central fault display system, and judging the flight state of a current aircraft according to the alarm information; the flight state comprises a normal state, an abnormal state and a distress state; determining the type of the downloaded data according to the flight state; determining the frequency of downloading data according to the flight state; and downloading the data in real time according to the category of the downloaded data corresponding to the current flight state and the frequency of the downloaded data. The flight state of the current aircraft is determined according to the alarm information of the cloud box system and the aircraft system, the category and the downloading frequency of the downloaded data are further determined according to the flight state, the category and the downloading frequency of the downloaded data can be adjusted in real time according to the flight state, and the data downloading requirements in different flight states are met.

Description

Technical Field

[0001] The present application relates to the field of real-time downlink of aircraft data, and particularly to a method and device for real-time downlink of civil aircraft data based on a cloud black box system. Background Art

[0002] At present, the in-flight surveillance means based on the Aircraft Communications Addressing and Reporting System (ACARS) and Automatic Dependent Surveillance-Broadcast (ADS-B) in the air transportation mode can no longer meet the increasing flight volume. There are many problems with the post-flight safety assessment method based on the search and deciphering of black boxes, such as the equipment being damaged after falling to the ground, the long search time and high difficulty, and the data repair being restricted by foreign countries. Especially in the operation background and development trend of high-density, large-flow, and all-weather civil aviation transportation, pilots and ground personnel cannot accurately control and predict the air traffic situation, and the early warning ability of the flight monitoring system cannot effectively prevent and control possible flight risks.

[0003] With the continuous improvement of the digital and informatization levels of civil aviation services, the high-throughput satellite / 5GATG broadband communication link, as a new type of data transmission technology, can realize the rapid air-ground transmission of airborne warning information reports, flight parameters of civil aviation transport aircraft, and cabin sound data, improving the prediction and perception ability of ground control personnel for flight risks. However, the data transmitted based on the new communication link has certain limitations: due to the limited data sources being limited to aircraft systems, it can only support the analysis of aircraft component-level safety risks and cannot comprehensively reflect the operating status and potential risks of the civil aviation system. Summary of the Invention

[0004] The purpose of the present application is to provide a method and device for real-time downlink of civil aircraft data based on a cloud black box system, which can adjust the type and frequency of downlink data in real time according to the flight state to meet the requirements of downlink data in different flight states.

[0005] To achieve the above purpose, the present application provides the following solutions:

[0006] In the first aspect, the present application provides a method for real-time downlink of civil aircraft data based on a cloud black box system, including:

[0007] Obtain the alarm information of the cloud black box system and the Central Fault Display System, and judge the flight state of the current aircraft according to the alarm information; the flight state includes normal state, abnormal state, and distress state;

[0008] Determine the type of downlink data according to the flight state;

[0009] Determine the frequency of downlink data according to the flight state;

[0010] Perform real-time data download according to the category and frequency of the downloaded data corresponding to the current flight state.

[0011] In a second aspect, the present application provides a real-time data download device for civil aircraft based on a cloud box system, including:

[0012] A flight state judgment module, configured to obtain alarm information of the cloud box system and the central fault display system, and judge the current flight state of the aircraft according to the alarm information; the flight state includes a normal state, an abnormal state, and a distress state;

[0013] A downloaded data category determination module, configured to determine the category of the downloaded data according to the flight state;

[0014] A downloaded data frequency determination module, configured to determine the frequency of the downloaded data according to the flight state;

[0015] A data download module, configured to perform real-time data download according to the category and frequency of the downloaded data corresponding to the current flight state.

[0016] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the above-mentioned real-time data download method for civil aircraft based on a cloud box system.

[0017] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the above-mentioned real-time data download method for civil aircraft based on a cloud box system.

[0018] In a fifth aspect, the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the above-mentioned real-time data download method for civil aircraft based on a cloud box system.

[0019] According to the specific embodiments provided by the present application, the following technical effects are disclosed in the present application:

[0020] The present application provides a method and device for real-time transmission of civil aircraft data based on a cloud box system, which obtains the alarm information of the cloud box system and the central fault display system, and determines the flight state of the current aircraft according to the alarm information; the flight state includes a normal state, an abnormal state, and a distress state; determines the category of data to be transmitted according to the flight state; determines the frequency of data transmission according to the flight state; and performs real-time data transmission according to the category and frequency of the data to be transmitted corresponding to the current flight state. The present invention determines the flight state of the current aircraft according to the alarm information of the cloud box system and the central fault display system, and further determines the category and transmission frequency of the data to be transmitted according to the flight state, and can adjust the category and transmission frequency of the data to be transmitted in real time according to the flight state to meet the requirements of data transmission in different flight states. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0022] Figure 1 It is a schematic flowchart of a method for real-time transmission of civil aircraft data based on a cloud box system provided by an embodiment of the present application;

[0023] Figure 2 It is a schematic diagram of the functional modules of a device for real-time transmission of civil aircraft data based on a cloud box system provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present application belong to the scope of protection of the present application.

[0025] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0026] Embodiment

[0027] To analyze the operating status of the civil aviation transportation system in various scenarios, a cloud box subsystem is introduced, which takes the airborne sensing and warning equipment integrating communication, sensing and computing as the central node and consists of a high-throughput satellite / 5G ATG broadband communication link, a ground flight scene real-time reconstruction system, a system emergency decision-making and deduction system, etc. The real-time downlink solution of civil aircraft data based on the cloud box subsystem is a new research direction. Therefore, this application provides a method for real-time downlink of civil aircraft data based on the cloud box subsystem, as Figure 1 shown, the method for real-time downlink of civil aircraft data based on the cloud box subsystem includes:

[0028] Step 101, obtain the alarm information of the cloud box subsystem and the central fault display system, and judge the flight status of the current aircraft according to the alarm information; the flight status includes normal status, abnormal status and distress status.

[0029] The cloud box subsystem includes an airborne sensing and warning subsystem, a communication link subsystem, a ground flight scene real-time reconstruction subsystem and an operation control center emergency expert command subsystem.

[0030] Among them, the airborne sensing and warning subsystem is used to collect the flight data and cabin sound data of the aircraft in real time, identify data anomalies according to the flight data and the cabin sound data, send the flight data and the cabin sound data to the ground flight scene real-time reconstruction subsystem through the communication link subsystem, and send the flight data and the airborne sensing anomaly recognition result to the operation control center emergency expert command subsystem through the communication link subsystem.

[0031] The ground flight scene real-time reconstruction subsystem is used to analyze the cockpit voice situation according to the cabin sound data, analyze the flight trend of the aircraft according to the flight data, and if an abnormal situation is analyzed, send the ground sensing anomaly analysis result and the flight data to the operation control center emergency expert command subsystem respectively.

[0032] The operation control center emergency expert command subsystem is used to identify the received airborne sensing anomaly recognition result and the ground sensing anomaly analysis result, perform missed detection inspection on the abnormal situation according to the flight data, and generate an emergency disposal plan according to the identified airborne sensing anomaly recognition result, the identified ground sensing anomaly analysis result and the missed detection anomaly analysis result.

[0033] The central fault display system is used to process and store the fault information of all aircraft systems, monitor the operation status of the aircraft systems, and send the fault information to the ground flight scene real-time reconstruction subsystem through the communication link subsystem.

[0034] The Central Fault Display System is an existing device on civil airliners, used for monitoring and identifying faults. The Central Fault Display System (CFDS) mainly consists of a Central Fault Display Interface Unit (CFDIU) and Built-In Test Equipment (BITE) in each system computer. The CFDIU is the core component of the system, responsible for centrally processing and storing the fault information of all connected systems. The BITE is installed in each aircraft system computer, used for continuously monitoring the system operation status, and storing and sending the fault information to the CFDIU when a fault is detected.

[0035] The Cloud Box System can identify and perceive in real time at the ground end: aircraft system faults, abnormal crew operations, over-limit event identification based on flight quality monitoring, risks caused by meteorological reasons, etc. (The existing method is for the crew to identify faults and risks and contact the ground through VHF and HF voice transmission methods. The existing data downlink systems (such as ACARS, etc.) have small bandwidth, few transmitted data, and high costs, and can only transmit a limited number of fault messages, such as engine over-limit reports, turbulence reports, hard landing reports, real-time fault reports, overweight landing reports, etc. Other faults, abnormal human operations, over-limit events, etc. cannot be downlinked through the existing air-ground data link.

[0036] Step 102: Determine the category of the downlink data according to the flight state.

[0037] Step 103: Determine the frequency of the downlink data according to the flight state.

[0038] Step 104: Perform real-time data downlink according to the category and frequency of the downlink data corresponding to the current flight state.

[0039] Civil aircraft perceive risks during flight through a flight risk perception system (including the airborne perception and warning subsystem, the ground flight scene real-time reconstruction subsystem, and the operation control center emergency expert command subsystem in the Central Fault Display System and the Cloud Box System), identify the aircraft safety state, and determine the transmission frequency in different safety states through Step 103, and downlink the parameter data, cabin sound data, warning information, and other customized data described in Step 102 to the ground end (including the expert subsystem in the operation control center and the ground flight scene real-time reconstruction subsystem) through high-throughput satellites or 4G / 5G ATG.

[0040] In another exemplary embodiment of the present application, in step 101, the state recognition during the flight phase is completed by a flight risk perception system, which includes four perception subsystems: an airborne perception and warning subsystem integrating communication, sensing, and computing, a real-time reconstruction subsystem of the ground flight scene, a central fault display subsystem (CFDS), and an emergency expert subsystem of the ground operation control center. Among them, the airborne perception and warning subsystem integrating communication, sensing, and computing, the real-time reconstruction subsystem of the ground flight scene, and the emergency expert subsystem of the ground operation control center can give abnormal alarms or distress alarms according to the risk severity respectively. The central fault display subsystem (CFDS) is generally divided into level 1, level 2, and level 3 alarms according to the settings of the aircraft manufacturer.

[0041] The flight states are divided into three safety states: "normal", "abnormal", and "distress". Civil aircraft determine different flight states through the types of reports sent by the flight risk perception system. The specific determination conditions are shown in Table 1.

[0042] Table 1 Determination method of flight states

[0043]

[0044] Combined with the content of Table 1, the determination method of flight states is as follows:

[0045] (1) Normal state: All units of the flight risk perception system have no warnings or alarms, and the aircraft is in a normal state;

[0046] (2) Abnormal state: If the flight risk perception system meets any of the following conditions, it is considered that the aircraft enters an abnormal state:

[0047] (2.1) The airborne perception and warning subsystem integrating communication, sensing, and computing generates a warning information report;

[0048] (2.2) The central fault display subsystem (CFDS) of the civil aircraft displays a level 1 or level 2 warning;

[0049] (2.3) The real-time reconstruction subsystem of the ground flight scene generates a warning information report;

[0050] (2.4) The emergency expert subsystem of the ground operation control center generates a warning information report.

[0051] (3) Distress state: If the flight risk perception system meets any of the following conditions, it is considered that the civil aircraft enters an abnormal state.

[0052] (3.1) The airborne perception and warning subsystem integrating communication, sensing, and computing generates an alarm information report;

[0053] (3.2) The central fault display subsystem (CFDS) of the civil aircraft displays a level 3 warning;

[0054] (3.3) The real-time reconstruction subsystem of the ground flight scenario generates an alarm message report;

[0055] (3.4) The emergency expert subsystem of the ground operation control center generates an alarm message report.

[0056] Based on the above, in step 101, judging the flight state of the current aircraft according to the alarm information specifically includes:

[0057] (1) When none of the subsystems of the flight risk perception system outputs an alarm message, the current aircraft is in a normal state. Each subsystem of the flight risk perception system includes the on-board perception and warning subsystem in the central fault display system and the cloud black box subsystem, the real-time reconstruction subsystem of the ground flight scenario, and the emergency expert command subsystem of the operation control center.

[0058] (2) When at least one subsystem in the flight risk perception system outputs an abnormal alarm message, the current aircraft is in an abnormal state; when the central fault display subsystem outputs a level 1 or level 2 alarm message, it is regarded as outputting an abnormal alarm message.

[0059] (3) When at least one subsystem in the flight risk perception system outputs a distress alarm message, the current aircraft is in a distress state; when the central fault display subsystem outputs a level 3 alarm message, it is regarded as outputting a distress alarm message.

[0060] In another exemplary embodiment of the present application, with the rapid growth of future civil aviation transport aircraft, due to the capacity limit of high-throughput satellites or 4G / 5G ATG in a certain airspace. Therefore, under certain conditions, it is not possible to allow all aircraft to simultaneously and real-time download all flight parameters, and it is necessary to classify and grade the data that needs to be downloaded with emphasis according to the safety status. The present application proposes the concept of "safety-driven data set", and this method downloads different data according to the safety state of the aircraft and the identified abnormal types.

[0061] Therefore, according to aircraft system failures, abnormal operations of the crew, identification of over-limit events based on flight quality monitoring, risks caused by meteorological reasons, etc., different data sets are divided to achieve classified download of safety-driven data sets.

[0062] (1) State parameter set: All parameters used to restore the time, number, position, altitude, and attitude of civil aircraft, which are used for aircraft dynamic monitoring and tracking.

[0063] (2) Core parameter set: A set of core parameters that characterize the safety state of the aircraft and are used to identify various safety risks.

[0064] (3) System failure parameter set: Data used for system failure identification. Specifically, data sets for system-level failure identification can be further divided according to different aircraft systems (such as aero engines, airborne communication systems, flight control systems, etc.), which are called XX system failure parameter sets.

[0065] (4) Human factor parameter set: A data set used to identify abnormal human operations and abnormal crew states.

[0066] (5) Overlimit parameter set: Data used for overlimit event identification in flight quality monitoring.

[0067] (6) Meteorological parameter set: Data used for meteorological risk analysis.

[0068] (7) Customized parameter set: Customized data used for other risk analysis.

[0069] Based on the above, in step 102, when the air-ground data transmission link capacity in the airspace is large and the cost is relatively low (such as 5G ATG) and it does not become a limiting factor for data downlink, the maximum data downlink method is adopted, that is, when the air-ground data transmission capacity in the airspace is not limited, the category of downlink data is determined according to the flight state, specifically including:

[0070] (1) When the air-ground data transmission capacity in the airspace is not limited, the downlink data in the normal state of the aircraft includes all parameter data and airborne end alarm information; all parameter data includes the state parameter set, the core parameter set, the system failure parameter set, the human factor parameter set, the overlimit parameter set, the meteorological parameter set, and the customized parameter set. The airborne end alarm information includes the alarm information output by the airborne perception and warning subsystem and the alarm information output by the central fault display subsystem.

[0071] (2) When the air-ground data transmission capacity in the airspace is not limited, the downlink data in the abnormal state and the distress state of the aircraft includes all parameter data, airborne end alarm information, and cabin voice data.

[0072] In another exemplary embodiment of the present application, in step 102, when the air-ground data transmission link capacity cannot fully meet the requirements for simultaneous downlink of a large amount of aircraft data, is limited by special factors or external interference, or the cost is relatively high (such as 4G ATG, high-throughput satellites, etc.), that is, when the transmission capacity becomes a limiting factor for data downlink, a safety-driven data classification and downlink scheme is adopted, specifically:

[0073] (1) When the air-ground data transmission capacity is limited, the downlink data in the normal state of the aircraft includes the state parameter set, the core parameter set, the customized parameter set, and the airborne end alarm information, which are used for aircraft tracking and safety state identification.

[0074] (2) When the ability of airspace-aircraft data transmission is limited, the downloaded data under abnormal conditions of the aircraft includes a set of status parameters, on-board warning information, a set of core parameters, a set of customized parameters, a data set based on the source of the abnormal condition, and cabin voice data.

[0075] Under abnormal conditions, transmit the above-mentioned set of status parameters, on-board warning information, set of core parameters, other customized data, and download a data set based on the source of the abnormal condition (for example, in case of an on-board system failure, download a set of system failure parameters; in case of abnormal human operation, download a set of human factor parameters; in case of an over-limit event, download a set of over-limit parameters; in case of abnormal weather, download a set of weather parameters), and cabin voice data.

[0076] (3) When the ability of airspace-aircraft data transmission is limited, the downloaded data under the distress condition of the aircraft includes all parameter data, on-board warning information, cabin voice data, and a set of customized parameters.

[0077] Under the distress condition, transmit all flight parameter data, cabin voice data, on-board warning information, and other customized data.

[0078] In another exemplary embodiment of the present application, in step 103, determine the download data frequency based on the flight status: When the aircraft is in a normal state: According to the flight phase of the aircraft (including pre-flight, start-up, taxiing out, take-off, initial climb, climb, cruise, descent, approach, final approach, landing, and taxiing in), different download frequencies are specified in different flight phases. For example, set a normal frequency in the cruise phase, and set a higher download frequency in the take-off, climb, approach, and landing phases. When the aircraft is in an abnormal state or a distress state: Through methods such as qualitative evaluation, quantitative calculation, and a combination of qualitative and quantitative methods, determine the data transmission frequency in different states based on the airspace capacity limit.

[0079] The following is an example to illustrate the calculation method of the download frequency:

[0080] Consider the condition when the capacity of the airspace-aircraft data transmission link cannot fully meet the requirement of simultaneous download of a large amount of aircraft data, the link function is limited due to special factors or external interference, or the cost is relatively high (such as 4G ATG, high-throughput satellite, etc.), that is, when the transmission ability becomes a limiting factor for data download.

[0081] The present application provides a new data download scheme that combines the method of "calculating the download frequency based on the communication link capacity" with the method of "downloading data by classifying data sets driven by safety", and gives priority to ensuring the real-time tracking and fault perception capabilities of civil aircraft. Therefore, set the minimum download frequency reference values of the status parameter set and on-board warning information of civil aircraft in different states, as shown in Table 2 below. The values in Table 2 are reference values and can be adjusted to other values according to requirements.

[0082] Table 2 State parameter sets of aircraft and minimum downlink frequencies of on-board warning messages under different states

[0083]

[0084] It is assumed that in this application, the high-throughput satellite and the 4G-ATG base station can achieve dynamic allocation of the transmission bandwidth of all civil aircraft in the airspace. The following mathematical parameters are established for civil aircraft in different flight states, as shown in Table 3.

[0085] Table 3 Downlink frequencies and downlink data volumes of aircraft in different flight states

[0086]

[0087] Among them, N n1 represents the number of aircraft in the cruise phase under normal conditions; D s_n represents the data volume of the transmission state parameter set and on-board warning messages in the cruise phase under normal conditions; f s_n1 represents the downlink frequency of the transmission state parameter set and on-board warning messages in the cruise phase; N n2 represents the number of aircraft in the takeoff and landing phase under normal conditions; f s_n2 represents the downlink frequency of the transmission state parameter set and on-board warning messages in the takeoff and landing phase; N a represents the number of aircraft in the abnormal state; D s_a represents the data volume of the transmission state parameter set and on-board warning messages in the abnormal state; f s_a represents the downlink frequency of the transmission state parameter set and on-board warning messages in the abnormal state; N d represents the number of aircraft in the distress state; D s_d represents the data volume of the transmission state parameter set and on-board warning messages in the distress state; f s_d represents the downlink frequency of the transmission state parameter set and on-board warning messages in the distress state; D n represents the data volume of other data under normal conditions; f n1 represents the downlink frequency of other data in the cruise phase under normal conditions; f n2 represents the downlink frequency of other data in the takeoff and landing phase under normal conditions; D a represents the data volume of other data in the abnormal state; f a represents the downlink frequency of other data in the abnormal state; D d represents the data volume of other data in the distress state; f d represents the downlink frequency of other data in the distress state.

[0088] Based on the above two tables, calculate the total occupied data capacity (per unit time) for transmitting the status parameter set and the airborne end warning information in the entire airspace:

[0089] C s_total = N n1 D s_n f s_n1 + N n2 D s_n f s_n2 + N a D s_a f s_a + N d D s_d f s_d

[0090] Assume that the highest capacity for airspace utilization using 4GATG or high-throughput satellite transmission is C total .

[0091] C total Prioritize the allocation for transmitting the status parameter set and the airborne end warning information. The remaining part C d = C total - C s_total , then it is used for dynamically allocating other downlink data transmissions.

[0092] The transmission limit constraint is: N n1 D n f n1 + N n2 D n f n2 + N a D a f a + N d D d f d ≤ C d

[0093] f n1 ≤ αf n2 ≤ βf a ≤ γf d

[0094] f n1 ≥ f n1_min

[0095] f n2 ≥ f n2_min

[0096] f a ≥ f a_min

[0097] f d ≥ f d_min

[0098] Among them, C d = C total - C s_total , where C total is the highest capacity for 4GATG or high-throughput satellite transmission in airspace utilization, and f n1_min represents the minimum value of f n1 ; f n2_min represents the minimum value of f n2 ; f a_min represents the minimum value of f a ; f d_min represents the minimum value of f d ; α, β, and γ all represent proportionality coefficients less than 1. The above parameters are determined according to the data download requirements and comprehensive expert opinions.

[0099] Under the condition of satisfying the above transmission limit constraints, the values of f n1 , f n2 , f a , and f d are set respectively. The solution method can adopt a variety of different optimization algorithms.

[0100] Based on the above content, in step 103, when the airspace air-ground data transmission ability is limited, determining the frequency of downloading data according to the flight state specifically includes:

[0101] (1) Determine the highest capacity C total of airspace air-ground data transmission.

[0102] (2) Determine the total occupied data capacity C s_total of the transmission status parameter set and the on-board warning information.

[0103] (3) Determine the remaining capacity C d of data transmission; the remaining capacity is equal to the highest capacity of airspace air-ground data transmission minus the total occupied data capacity of the transmission status parameter set and the on-board warning information.

[0104] (4) Determine the transmission limit constraints of other data in different flight states according to the remaining capacity. The other data refers to the downloaded data except the status parameter set and the on-board warning information in the downloaded data.

[0105] (5) Determine the download frequency of other data in different flight states according to the remaining capacity and the transmission limit constraints.

[0106] In this application, an intelligent data transmission strategy based on flight status is proposed. By analyzing the real-time downlink data, three types of real-time statuses of the aircraft, namely "normal, abnormal, and in distress", are identified based on the determination conditions. A method for calculating the downlink data volume and transmission frequency is proposed, forming a new data downlink scheme that combines the method of "calculating the downlink frequency based on the communication link capacity" and "classifying and downlinking the data set driven by safety". Aircraft have different safety requirements in different flight statuses (normal, abnormal, and in distress). The Cloud Box System can first sense the flight status of the aircraft and dynamically adjust the transmission content and frequency of the data according to the current status. In the normal flight status, the Cloud Box System will transmit some flight parameters and civil aircraft system parameters to ensure that the ground can master the real-time status of the aircraft; in the abnormal status, it will transmit all the parameters included in the flight status parameters, meteorological parameters, and civil aircraft system parameters, and transmit the warning information report or fault information report that triggers the abnormal status, and increase the data downlink frequency; in the distress status, the data transmission frequency is further increased, and the transmitted data content remains the same as that in the abnormal status to ensure that the ground system can monitor the operation of the aircraft in real time.

[0107] The expected effect of the Cloud Box System is remarkable. By sensing the operation status of the aircraft in advance, it can achieve advance prediction and status adjustment during the flight, thus significantly improving the operation safety of the aircraft. It is expected that the popularization and application of this technology will bring a technological innovation to the global civil aviation field, not only effectively reducing the economic losses caused by aircraft failures, but also providing an important technical basis for formulating the safety standards of the industry.

[0108] In summary, the proposed application fills the technical gap in the current field of real-time aviation communication, provides a solid technical foundation for realizing the active monitoring, fault warning, and early processing of the aircraft operation status, and has broad application prospects and far-reaching industry influence.

[0109] The present application also provides an application scenario, which applies the above-mentioned method for real-time downloading of civil aircraft data based on the cloud box system. Specifically: The method for real-time downloading of civil aircraft data based on the cloud box system provided in this embodiment can be applied in the scenario of real-time downloading of aircraft data. This scenario includes a data acquisition link and a data download link; the data acquisition link is used to collect the alarm information of the cloud box system; the data download link is used to analyze the flight state of the current aircraft according to the obtained alarm information, and download relevant data according to the corresponding download frequency according to the flight state. The method for real-time downloading of civil aircraft data based on the cloud box system provided in this embodiment belongs to the data download link. Specifically, obtain the alarm information of the cloud box system, judge the flight state of the current aircraft according to the alarm information, and determine the category of the data to be downloaded according to the flight state; determine the download frequency of the data to be downloaded according to the flight state; perform real-time data download according to the category of the data to be downloaded and the download frequency corresponding to the current flight state.

[0110] Based on the same inventive concept, an embodiment of the present application also provides a device for real-time downloading of civil aircraft data based on the cloud box system for implementing the above-mentioned method for real-time downloading of civil aircraft data based on the cloud box system. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the device for real-time downloading of civil aircraft data based on the cloud box system provided below can refer to the limitations on the method for real-time downloading of civil aircraft data based on the cloud box system in the above text, and will not be repeated here.

[0111] In an exemplary embodiment, as Figure 2 shown, a device for real-time downloading of civil aircraft data based on the cloud box system is provided, including:

[0112] A flight state judgment module M1, configured to obtain the alarm information of the cloud box system and the central fault display system, and judge the flight state of the current aircraft according to the alarm information; the flight state includes a normal state, an abnormal state, and a distress state.

[0113] A downloaded data category determination module M2, configured to determine the category of the data to be downloaded according to the flight state.

[0114] A downloaded data frequency determination module M3, configured to determine the download frequency of the data to be downloaded according to the flight state.

[0115] A data download module M4, configured to perform real-time data download according to the category of the data to be downloaded and the download frequency corresponding to the current flight state.

[0116] In an exemplary embodiment, a computer device is provided, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the method for real-time download of civil aircraft data based on the cloud box system as described above.

[0117] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, which when executed by a processor, implements the steps in the above method embodiments.

[0118] For the above-mentioned memory and processor, they need to meet the airborne airworthiness requirements and are dedicated airborne storage and processors.

[0119] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0120] Those of ordinary skill in the art can understand that all or part of the processes in the above method embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above method embodiments.

[0121] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as these technical feature combinations do not conflict, they should all be considered as the scope described in this specification.

[0122] In this article, specific examples are used to elaborate on the principles and implementation manners of this application. The descriptions of the above embodiments are only used to help understand the method and its core idea of this application; at the same time, for those of ordinary skill in the art, based on the idea of this application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to this application.

Claims

1. A method for real-time downloading of civil aircraft data based on a cloud box system, characterized in that, The method for real-time transmission of civil aircraft data based on the cloud black box system includes: Obtaining the alarm information of the cloud black box system and the central fault display system, and judging the flight state of the current aircraft according to the alarm information; the flight state includes normal state, abnormal state and distress state; Determining the category of the data to be transmitted according to the flight state; Determining the frequency of the data to be transmitted according to the flight state; Performing real-time data transmission according to the category and frequency of the data to be transmitted corresponding to the current flight state.

2. The real-time data download method for civil aircraft based on the cloud casket system according to claim 1, wherein The cloud black box system includes an airborne perception and early warning subsystem, a communication link subsystem, a ground flight scene real-time reconstruction subsystem and an operation control center emergency expert command subsystem; The airborne perception and early warning subsystem is used for real-time collecting the flight data and cabin sound data of the aircraft, identifying data anomalies according to the flight data and the cabin sound data, sending the flight data and the cabin sound data to the ground flight scene real-time reconstruction subsystem through the communication link subsystem, and sending the flight data and the airborne perception anomaly identification result to the operation control center emergency expert command subsystem through the communication link subsystem; The ground flight scene real-time reconstruction subsystem is used for analyzing the cockpit voice situation according to the cabin sound data, analyzing the flight trend of the aircraft according to the flight data, and if an abnormal situation is analyzed, sending the ground perception anomaly analysis result and the flight data to the operation control center emergency expert command subsystem respectively; The operation control center emergency expert command subsystem is used for identifying the received airborne perception anomaly identification result and ground perception anomaly analysis result, performing missed detection inspection on the abnormal situation according to the flight data, and generating an emergency disposal plan according to the identified airborne perception anomaly identification result, the identified ground perception anomaly analysis result and the missed detection abnormal analysis result; The central fault display system is used for processing and storing the fault information of all aircraft systems, monitoring the operation state of the aircraft systems, and sending the fault information to the ground flight scene real-time reconstruction subsystem through the communication link subsystem.

3. The real-time data download method for civil aircraft based on the cloud box system according to claim 2, characterized in that Judging the flight state of the current aircraft according to the alarm information, specifically including: When none of the subsystems of the flight risk perception system outputs alarm information, the current aircraft is in a normal state; the subsystems of the flight risk perception system include the central fault display system and the airborne perception and early warning subsystem, the ground flight scene real-time reconstruction subsystem and the operation control center emergency expert command subsystem in the cloud black box system; When at least one subsystem of the flight risk perception system outputs abnormal alarm information, the current aircraft is in an abnormal state; when the central fault display subsystem outputs level 1 or level 2 alarm information, it is regarded as outputting abnormal alarm information; When at least one subsystem of the flight risk perception system outputs distress alarm information, the current aircraft is in a distress state; when the central fault display subsystem outputs level 3 alarm information, it is regarded as outputting distress alarm information.

4. The real-time data download method for civil aircraft based on the cloud box system according to claim 1, characterized in that When the ability of airspace air-ground data transmission is not limited, determining the category of the data to be transmitted according to the flight state, specifically including: When the ability of airspace-aircraft data transmission is not limited, the downlink data under normal conditions of the aircraft includes all parameter data and on-board warning information; the all parameter data includes a status parameter set, a core parameter set, a system fault parameter set, a human factor parameter set, an overlimit parameter set, a meteorological parameter set, and a customized parameter set; the status parameter set is used for aircraft dynamic monitoring and tracking; the core parameter set is used to characterize the aircraft safety status; the system fault parameter set is used for data of system fault identification; the human factor parameter set is used for a data set to identify abnormal human operations and abnormal crew status; the overlimit parameter set is used for data of overlimit event identification in flight quality monitoring; the meteorological parameter set is used for data of meteorological risk analysis; the customized parameter set is used for customized data of risk analysis; the on-board warning information includes warning information output by the on-board sensing and warning subsystem and warning information output by the central fault display subsystem; When the ability of airspace-aircraft data transmission is not limited, the downlink data under abnormal and distress conditions of the aircraft includes all parameter data, on-board warning information, and cabin voice data.

5. The real-time downlink method of civil aircraft data based on the cloud box system according to claim 4, characterized in that, When the ability of airspace-aircraft data transmission is limited, the category of downlink data is determined according to the flight state, specifically including: When the ability of airspace-aircraft data transmission is limited, the downlink data under normal conditions of the aircraft includes the status parameter set, the core parameter set, the customized parameter set, and the on-board warning information; When the ability of airspace-aircraft data transmission is limited, the downlink data under abnormal conditions of the aircraft includes the status parameter set, on-board warning information, core parameter set, customized parameter set, a data set based on the source of the abnormal state, and cabin voice data; When the ability of airspace-aircraft data transmission is limited, the downlink data under distress conditions of the aircraft includes all parameter data, on-board warning information, cabin voice data, and customized parameter set.

6. The real-time data download method for civil aircraft based on the cloud casket system according to claim 5, wherein, When the ability of airspace-aircraft data transmission is limited, the frequency of downlink data is determined according to the flight state, specifically including: Determine the maximum capacity of airspace-aircraft data transmission; Determine the total occupied data capacity of transmitting the status parameter set and on-board warning information; Determine the remaining capacity of data transmission; the remaining capacity is equal to the maximum capacity of airspace-aircraft data transmission minus the total occupied data capacity of transmitting the status parameter set and on-board warning information; Determine the transmission limit constraint conditions of other data under different flight states according to the remaining capacity; the other data refers to the downlink data except the status parameter set and on-board warning information in the downlink data; Determine the downlink frequency of other data under different flight states according to the remaining capacity and the transmission limit constraint conditions.

7. The real-time data download method for civil aircraft based on the cloud storage system according to claim 6, characterized in that, The calculation formula for the total occupied data capacity of transmitting the status parameter set and on-board warning information is: C s_total = N n1 D s_n f s_n1 + N n2 D s_n f s_n2 + N a D s_a f s_a + N d D s_d f s_d ; Wherein, C s_total represents the total occupied data capacity of the transmission status parameter set and the on-board warning information; N n1 represents the number of aircraft in the cruise phase under normal conditions; D s_n represents the data volume of the transmission status parameter set and the on-board warning information under normal conditions; f s_n1 represents the downlink frequency of the transmission status parameter set and the on-board warning information in the cruise phase; N n2 represents the number of aircraft in the takeoff and landing phase under normal conditions; f s_n2 represents the downlink frequency of the transmission status parameter set and the on-board warning information in the takeoff and landing phase; N a represents the number of aircraft in abnormal conditions; D s_a represents the data volume of the transmission status parameter set and the on-board warning information in abnormal conditions; f s_a represents the downlink frequency of the transmission status parameter set and the on-board warning information in abnormal conditions; N d represents the number of aircraft in distress; D s_d represents the data volume of the transmission status parameter set and the on-board warning information in distress; f s_d represents the downlink frequency of the transmission status parameter set and the on-board warning information in distress; The expression of the transmission limit constraint condition is: N n1 D n f n1 +N n2 D n f n2 +N a D a f a +N d D d f d ≤C d f n1 ≤ αf n2 ≤ βf a ≤ γf d f n1 ≥ f n1_min f n2 ≥ f n2_min f a ≥ f a_min f d ≥ f d_min Wherein, C d represents the remaining capacity of data transmission, C d = C total - C s_total , where C total is the maximum capacity of airspace utilization for 4GATG or high-throughput satellite transmission; D n represents the data volume of other data under normal conditions; f n1 represents the downlink frequency of other data during the cruise phase under normal conditions; f n2 represents the downlink frequency of other data during the takeoff and landing phases under normal conditions; D a represents the data volume of other data under abnormal conditions; f a represents the downlink frequency of other data under abnormal conditions; D d represents the data volume of other data under distress conditions; f d represents the downlink frequency of other data under distress conditions; f n1_min represents the minimum value of f n1 ; f n2_min represents the minimum value of f n2 ; f a_min represents the minimum value of f a ; f d_min represents the minimum value of f d ; α, β, and γ all represent proportionality coefficients less than 1.

8. A real-time data download device for civil aircraft based on the cloud casket system, characterized in that, The civil aircraft data real-time downlink device based on the cloud box system includes: A flight state judgment module, configured to obtain warning information of the cloud box system and the central fault display system, and judge the current flight state of the aircraft according to the warning information; the flight state includes normal state, abnormal state, and distress state; The downlink data category determination module is used to determine the category of the downlink data according to the flight state; The downlink data frequency determination module is used to determine the frequency of the downlink data according to the flight state; The data downlink module is used to perform real-time data downlink according to the category of the downlink data corresponding to the current flight state and the frequency of the downlink data.

9. A computer device, comprising: A memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the real-time downlink method for civil aircraft data based on the cloud box system according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the real-time downlink method for civil aircraft data based on the cloud box system according to any one of claims 1-7.

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