CN106886664A - Aircraft accident analogy method and system that compatible flying quality drives - Google Patents
Aircraft accident analogy method and system that compatible flying quality drives Download PDFInfo
- Publication number
- CN106886664A CN106886664A CN201710201433.7A CN201710201433A CN106886664A CN 106886664 A CN106886664 A CN 106886664A CN 201710201433 A CN201710201433 A CN 201710201433A CN 106886664 A CN106886664 A CN 106886664A
- Authority
- CN
- China
- Prior art keywords
- accident
- aircraft
- model
- flight
- flying quality
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/36—Circuit design at the analogue level
- G06F30/367—Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
Abstract
The invention discloses aircraft accident analogy method and system that compatible flying quality drives, belong to the technical field of flight simulation.The method carries out analysis in real time to the data that FDR or QAR is imported to obtain flying quality and extract critical event, full dose nonlinear flight dynamics model is set up according to accident aircraft modeling data, flight dynamics model under the flying quality drive pattern according to accident before any initial flight state carry out real-time simulation, flight dynamics model to model-driven pattern is switched using Time Synchronization Mechanism in hand control driving cabin.The system includes FDR/QAR databases, modeling of aircraft database and processor.The present invention aids in carrying out the deduction and analysis of accident by dynamics simulation, realizes the high fidelity simulation of aircraft accident.
Description
Technical field
The invention discloses aircraft accident analogy method and system that compatible flying quality drives, belong to the skill of flight simulation
Art field.
Background technology
The analysis of aircraft accident mainly passes through the means such as log data analysis, site inspection, professional's analysis, most
Comprehensive cause of accident is provided by accident investigation expert eventually to judge.With continuing to develop for Aeronautics, atmospheric perturbation, fly
Machine burst System failure simultaneously causes driver's mistake to make a decision the main inducing for having turned into aircraft accident with improper maneuver.At present, only
Resolution and the operation of driver can be analyzed by the playback of accident flying quality.
Flight simulator is a kind of Semi-physical Real-time Simulation system, and aircraft is simulated by flight dynamics model in the air
With the operation on ground.But it is standby as pilot flying's training cartridge, flight simulator do not possess flying quality playback function, more without
Method is applied to the investigation and analysis of aircraft accident.
Currently, air-accident investigation typically takes the means that accident flying quality is played back, " being spoken with data ", it has also become the people
The common recognition on boat circle.Flying quality belongs to a kind of time series, but its record state of flight and driver's operation input between it is hidden
Contain flight dynamics mechanism.Cause the primary inducement of aircraft accident as human factor turns into, merely from the angle of flying quality
Spend into flight accident investigation, the accurate judgement to cause of accident can not be obtained sometimes, need aid in carrying out by dynamics simulation
The deduction and analysis of accident.
The content of the invention
Goal of the invention of the invention is directed to the deficiency of above-mentioned background technology, there is provided the flight that compatible flying quality drives
Accident analogy method and system, aid in carrying out the deduction and analysis of accident by dynamics simulation, realize aircraft accident
High fidelity is simulated, and is solved and simple entered flight accident investigation from the angle of flying quality and can not obtain standard to cause of accident sometimes
The technical problem for really judging.
The present invention is adopted the following technical scheme that for achieving the above object：
The data that FDR or QAR is imported are carried out analysis in real time to obtain by the aircraft accident analogy method that compatible flying quality drives
Flying quality simultaneously extracts critical event, and full dose nonlinear flight dynamics model is set up according to accident aircraft modeling data, flight
Kinetic model under the flying quality drive pattern according to accident before any initial flight state carry out real-time simulation, manually grasping
Flight dynamics model is switched to model-driven pattern using Time Synchronization Mechanism during vertical driving cabin, according to the manned time
Node quick-searching critical event is determining the simulated events under model-driven pattern.
The further prioritization scheme of the aircraft accident analogy method driven as compatible flying quality, imports to FDR or QAR
Data carry out in real time analysis to obtain including but not limited to all kinds of manipulated variables of driving cabin, state of flight, engine condition, flight
Management and the flying quality of autoflight system state.
The further prioritization scheme of the aircraft accident analogy method driven as compatible flying quality, the full dose non-thread of foundation
Property flight dynamics model is including but not limited to the submodel below corresponding to aircraft subsystems：Aircraft aerodynamic model, engine
With propulsion system model, undercarriage and ground model, flight control and flight control system model, flight management system model,
Atmospheric perturbation environmental model.
The further prioritization scheme of the aircraft accident analogy method driven as compatible flying quality, flight dynamics mould
Type under the flying quality drive pattern according to accident before any initial flight state carry out real-time simulation, specially：According to flight
Each submodel of data trim and set the emulation of each submodel thickness granularity it is adjustable, the aircraft subsystems unrelated with aircraft accident are adjusted
With Coarse grain model, the aircraft subsystems relevant with aircraft accident call finely granular access control.
The further prioritization scheme of the aircraft accident analogy method driven as compatible flying quality, drives in hand control
Time Synchronization Mechanism is used during cabin, and flight dynamics model to model is switched by software exchange mode or hardware exchange mode
Drive pattern.
The aircraft accident simulation system that compatible flying quality drives, including：
FDR/QAR databases, store FDR/QAR data,
Modeling of aircraft database, stores modeling of aircraft data, and
Processor, the data to being imported from FDR/QAR databases carry out analysis in real time to obtain flying quality and extract crucial thing
Part, full dose nonlinear flight dynamics model is set up according to accident aircraft modeling data, and flight dynamics model is in flying quality
Real-time simulation is carried out according to any initial flight state before accident under drive pattern, it is same using the time in hand control driving cabin
Step mechanism switches flight dynamics model to model-driven pattern, according to manned timing node quick-searching critical event
To determine the simulated events under model-driven pattern.
The present invention uses above-mentioned technical proposal, has the advantages that：On the one hand can be driven by flying quality and flown
Row real-time emulation system, the every manipulation that aircraft accident environment is got off the plane is reproduced with state of flight change with data mode, real
The function of now conventional assisting in flying crash analysis；On the other hand, by hardware switch or soft handover method, it is contemplated that thing is occurring
Therefore it is preceding, the micro-judgment of accident investigation expert is added, switch to hand control to imitate in real time from flying quality type of drive system
True mode, realizes that a kind of accident of " assuming that-checking " deduces analysis method.
Brief description of the drawings
Fig. 1 is aircraft accident simulation model.
Fig. 2 is the aircraft accident simulation system structure chart that compatible flying quality drives.
Specific embodiment
The technical scheme invented is described in detail below in conjunction with the accompanying drawings.
Aircraft accident analogy method and system that compatible flying quality drives are built, FDR/QAR (flight numbers should be completed first
According to logger/quick access recorder) real-time processing and synchronization, realize data-driven；Secondly, aircraft accident emulation mould is built
Type, realizes the simulation of the catastrophic failures such as atmospheric perturbation, rudder face jam, engine abnormity；Finally, should have data syn-chronization and event
Search function, realizes the seamless intervention for manipulating, and supports the deduction analysis of accident.
First, the real-time processing of FDR/QAR data and the function of synchronization are realized.FDR/QAR can disposably read in accident
Flying quality, the accident flying quality should include that all kinds of manipulated variables of driving cabin (record control stick/disk, throttle lever position, all kinds of are opened
Pass amount etc.), state of flight (air speed, the angle of attack, yaw angle, pitching/rolling/yaw-position, locus etc.), engine condition
(rotating speed, fuel flow, oil flow/Pressure/Temperature etc.), flight management and autoflight system state (current flight pattern,
Performance and navigational parameter) etc..
Data should be able to be exported strictly in real time after reading in Failure Simulation, it is ensured that in aircraft accident playback, each event
Time point is accurate, and sequence of events is correct, can be with real-time flight simulation model stringent synchronization.
Secondly, based on accident aircraft modeling data, full dose nonlinear flight dynamics Real-Time Model is set up.The model
There should be following functions：
(1) with full speed and real-time two kinds of methods of operation：The former is used for the quick operation and timing node control of accident key component
System, real-time mode is used to perform the semi-physical simulation in someone loop；
(2) the whole features with real-time flight simulation system：Aircraft aerodynamic model, engine and propulsion system mould can be included
Type, undercarriage and ground model, flight control and flight control system model, flight management system model, atmospheric perturbation environment
Model etc., as shown in figure 1, the fidelity of model should be able to support that the accident related to aircraft accident is simulated；
(3) with can online reconfiguration function：Model can any initial flight state before trim to accident, and based on balance
State carries out real-time simulation；Different copying modules can be configured before emulation, the thickness of aircraft subsystems emulation is realized
Granularity is adjustable, so as to the subsystem module unrelated with aircraft accident calls Coarse grain model, reduces simulation calculation complexity；With fly
Act the related subsystem module of event and call finely granular access control, so as to carry out high fidelity accident simulation, and auxiliary is deeply carried out
Crash analysis.
Finally, the function with time synchronized and fact retrieval.Accident investigation personnel can be by software exchange or by hard
Part manipulates detection, model is rapidly changed to model-driven mode from data-driven version, and assisting in flying accident is deduced.Switching
During, two kinds of type of drive should have strict time synchronization mechanism, it is ensured that state of flight is not undergone mutation, and state switching is flat
It is suitable.To leg flying quality more long, should be able to according to the timing node of accident, quick-searching to the event so that efficiently
Carry out the simulation that accident several times is deduced.
The aircraft accident simulation system structure that compatible flying quality drives is as shown in Figure 2.
Claims (6)
1. the aircraft accident analogy method that compatible flying quality drives, it is characterised in that the data that FDR or QAR is imported are carried out
Analysis in real time is set up full dose Nonlinear Flight and is moved to obtain flying quality and extract critical event, according to accident aircraft modeling data
Mechanical model, flight dynamics model under the flying quality drive pattern according to accident before any initial flight state carry out in real time
Emulation, flight dynamics model to model-driven pattern is switched in hand control driving cabin using Time Synchronization Mechanism, according to
Manned timing node quick-searching critical event is determining the simulated events under model-driven pattern.
2. the aircraft accident analogy method that compatible flying quality drives according to claim 1, it is characterised in that to FDR or
The data that QAR is imported carry out analysis in real time to obtain including but not limited to all kinds of manipulated variables of driving cabin, state of flight, engine shape
The flying quality of state, flight management and autoflight system state.
3. the aircraft accident analogy method that compatible flying quality drives according to claim 1, it is characterised in that foundation it is complete
Amount nonlinear flight dynamics model is including but not limited to the submodel below corresponding to aircraft subsystems：Aircraft aerodynamic model,
Engine and propulsion system model, undercarriage and ground model, flight control and flight control system model, flight management system
Model, atmospheric perturbation environmental model.
4. the aircraft accident analogy method that compatible flying quality drives according to claim 3, it is characterised in that flying power
Learn model under the flying quality drive pattern according to accident before any initial flight state carry out real-time simulation, specially：According to
Each submodel of flying quality trim simultaneously sets adjustable, unrelated with the aircraft accident aircraft subsystem of thickness granularity of each submodel emulation
System calls Coarse grain model, and the aircraft subsystems relevant with aircraft accident call finely granular access control.
5. the aircraft accident analogy method that compatible flying quality drives according to claim 1, it is characterised in that manually grasping
Time Synchronization Mechanism is used during vertical driving cabin, and flight dynamics model is switched by software exchange mode or hardware exchange mode
To model-driven pattern.
6. the aircraft accident simulation system that compatible flying quality drives, it is characterised in that including：
FDR/QAR databases, store FDR/QAR data,
Modeling of aircraft database, stores modeling of aircraft data, and,
Processor, the data to being imported from FDR/QAR databases carry out analysis in real time to obtain flying quality and extract crucial thing
Part, full dose nonlinear flight dynamics model is set up according to accident aircraft modeling data, and flight dynamics model is in flying quality
Real-time simulation is carried out according to any initial flight state before accident under drive pattern, it is same using the time in hand control driving cabin
Step mechanism switches flight dynamics model to model-driven pattern, according to manned timing node quick-searching critical event
To determine the simulated events under model-driven pattern.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710201433.7A CN106886664A (en) | 2017-03-30 | 2017-03-30 | Aircraft accident analogy method and system that compatible flying quality drives |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710201433.7A CN106886664A (en) | 2017-03-30 | 2017-03-30 | Aircraft accident analogy method and system that compatible flying quality drives |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106886664A true CN106886664A (en) | 2017-06-23 |
Family
ID=59182502
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710201433.7A Pending CN106886664A (en) | 2017-03-30 | 2017-03-30 | Aircraft accident analogy method and system that compatible flying quality drives |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106886664A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107992551A (en) * | 2017-11-28 | 2018-05-04 | 北京航天试验技术研究所 | A kind of engine historical data management and analysis system and method |
| CN108665069A (en) * | 2018-04-24 | 2018-10-16 | 东南大学 | A kind of unexpected incidents trigger mechanism for unmanned vehicle training simulation |
| CN109141847A (en) * | 2018-07-20 | 2019-01-04 | 上海工程技术大学 | A kind of aircraft system faults diagnostic method based on MSCNN deep learning |
| CN109979037A (en) * | 2019-03-19 | 2019-07-05 | 四川函钛科技有限公司 | QAR parametric synthesis visual analysis method and system |
| CN111063056A (en) * | 2019-11-21 | 2020-04-24 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Aviation accident analysis method and device, computer equipment and storage medium |
| CN112185174A (en) * | 2019-07-05 | 2021-01-05 | 通用电气公司 | Flight optimization system and method for airline operations |
| CN113761671A (en) * | 2021-11-11 | 2021-12-07 | 西安羚控电子科技有限公司 | Method and system for calibrating dynamic simulation model of fixed-wing unmanned aerial vehicle |
| CN114692416A (en) * | 2022-04-06 | 2022-07-01 | 江苏锐天智能科技股份有限公司 | Intelligent simulation in-flight airplane fault analysis system and method |
| US11631334B2 (en) | 2019-07-05 | 2023-04-18 | General Electric Company | Flight optimization system and method for airline operations |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1533948A (en) * | 2003-03-28 | 2004-10-06 | 王⒅ | Prediction and alarming method against airplane failure and airplane failure predicting and alarming system |
| CN106372323A (en) * | 2016-08-31 | 2017-02-01 | 陕西千山航空电子有限责任公司 | Airborne equipment failure rate detection method based on flight data |
-
2017
- 2017-03-30 CN CN201710201433.7A patent/CN106886664A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1533948A (en) * | 2003-03-28 | 2004-10-06 | 王⒅ | Prediction and alarming method against airplane failure and airplane failure predicting and alarming system |
| CN106372323A (en) * | 2016-08-31 | 2017-02-01 | 陕西千山航空电子有限责任公司 | Airborne equipment failure rate detection method based on flight data |
Non-Patent Citations (3)
| Title |
|---|
| TETSUYA MIYOSHI 等: "Urgent evacuation simulation in aircraft accident using AAMAS", 《THE 40TH INTERNATIONAL CONFERENCE ON COMPUTERS & INDUTRIAL ENGINEERING》 * |
| 刘炬: "飞行事故模拟仿真系统设计与实现", 《万方数据库-学位论文库》 * |
| 高振兴: "复杂大气扰动下大型飞机飞行实时仿真建模研究", 《万方数据库-学位论文库》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107992551A (en) * | 2017-11-28 | 2018-05-04 | 北京航天试验技术研究所 | A kind of engine historical data management and analysis system and method |
| CN108665069A (en) * | 2018-04-24 | 2018-10-16 | 东南大学 | A kind of unexpected incidents trigger mechanism for unmanned vehicle training simulation |
| CN108665069B (en) * | 2018-04-24 | 2022-04-15 | 东南大学 | Sudden event triggering mechanism for unmanned vehicle training simulation |
| CN109141847A (en) * | 2018-07-20 | 2019-01-04 | 上海工程技术大学 | A kind of aircraft system faults diagnostic method based on MSCNN deep learning |
| CN109141847B (en) * | 2018-07-20 | 2020-06-05 | 上海工程技术大学 | Aircraft system fault diagnosis method based on MSCNN deep learning |
| CN109979037A (en) * | 2019-03-19 | 2019-07-05 | 四川函钛科技有限公司 | QAR parametric synthesis visual analysis method and system |
| CN112185174A (en) * | 2019-07-05 | 2021-01-05 | 通用电气公司 | Flight optimization system and method for airline operations |
| US11631334B2 (en) | 2019-07-05 | 2023-04-18 | General Electric Company | Flight optimization system and method for airline operations |
| CN111063056A (en) * | 2019-11-21 | 2020-04-24 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Aviation accident analysis method and device, computer equipment and storage medium |
| CN113761671A (en) * | 2021-11-11 | 2021-12-07 | 西安羚控电子科技有限公司 | Method and system for calibrating dynamic simulation model of fixed-wing unmanned aerial vehicle |
| CN114692416A (en) * | 2022-04-06 | 2022-07-01 | 江苏锐天智能科技股份有限公司 | Intelligent simulation in-flight airplane fault analysis system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106886664A (en) | Aircraft accident analogy method and system that compatible flying quality drives | |
| CN112100865B (en) | Method for predicting remaining life of aircraft engine based on parallel CNN model | |
| CN108053714B (en) | Multi-rotor unmanned aerial vehicle based on polling transmission line makes an inspection tour operation simulation training system | |
| CN106485980A (en) | A kind of airplane engines ground test run exercise system and its control method | |
| CN109949659A (en) | A kind of flight based on Prepar3D and maintenance simulator | |
| CN206379103U (en) | A kind of aircraft maintenance training simulators | |
| Adams et al. | Contributions of a part-task trainer to the learning and relearning of a time-shared flight maneuver | |
| EP2439718A1 (en) | Vehicle simulation system and procedure integrated training | |
| CN106204375A (en) | A kind of flight training management system | |
| CN112735221A (en) | Simulated flight training teaching system | |
| CN113721479A (en) | Unmanned aerial vehicle simulation training system | |
| US20220335175A1 (en) | Efficient creation of computer-generated force (cgf) entities using frequency response matrices | |
| CN102279568A (en) | Data control method used for formation flying | |
| RU2250511C1 (en) | Aircraft training complex | |
| Andreev et al. | Information models for designing conceptual broad-profile flight simulators | |
| CN104503824B (en) | A kind of airmanship towards Civil Aviation ATM analyzes checking system | |
| CN116312136A (en) | Aircraft cabin simulation system and fault simulation training method thereof | |
| CN112700695B (en) | Portable flight procedure training equipment | |
| WO2023065037A1 (en) | System and method for predicting performance by clustering psychometric data using artificial intelligence | |
| Shashidhara et al. | Development of a Full Mission Simulator for Pilot Training of Fighter Aircraft. | |
| CN112214836B (en) | Parameterized flight dynamic playback method | |
| Balcerzak et al. | Flight Simulation in Civil Aviation: advantages and disadvantages. | |
| Donaldson et al. | Upset simulation and training initiatives for us navy commercial derived aircraft | |
| CN113200153A (en) | Aircraft flight vibration prediction method | |
| CA3000448C (en) | Recertification of an interactive computer simulation station |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170623 |
|
| WD01 | Invention patent application deemed withdrawn after publication |