CN106652721B - A kind of aircraft maintenance virtual training system and method - Google Patents
A kind of aircraft maintenance virtual training system and method Download PDFInfo
- Publication number
- CN106652721B CN106652721B CN201610918228.8A CN201610918228A CN106652721B CN 106652721 B CN106652721 B CN 106652721B CN 201610918228 A CN201610918228 A CN 201610918228A CN 106652721 B CN106652721 B CN 106652721B
- Authority
- CN
- China
- Prior art keywords
- stage
- module
- virtual
- maintenance
- aircraft
- 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.)
- Expired - Fee Related
Links
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B25/00—Models for purposes not provided for in G09B23/00, e.g. full-sized devices for demonstration purposes
Abstract
A kind of aircraft maintenance virtual training system and method.System includes maintenance module, virtual instrument module, virtually disassembly module, fault diagnosis module, help document module, self evaluation module, virtual instrument test module, failure generation module before aircraft cognition module, principle study module, boat；Aircraft maintenance virtual training system and method provided by the invention is applied not only to carry out flight crew the training of daily maintenance and debugging, improves flight crew's real work technical ability, can be also used for the remote fault diagnosis of aircraft, maintenance program is formulated；At the same time, it or aircarrier aircraft maintenance and relevant speciality student carry out the ideal tools of aircraft theory study and practice operation.
Description
Technical field
It is virtual more particularly to a kind of aircraft maintenance the invention belongs to the maintenance virtual technology field in aerospace field
Training system and method.
Background technique
Current almost all of Large Complex Equipment is main to the training of maintenance personal all without configuration maintenance training equipment
It is that actual load is combined to carry out, has following defects that (l) combines actual load maintenance training, quantity and training court are limited, trainee
Quantity and the time be difficult to ensure that training effectiveness is low；(2) new equipment functional structure is complicated, involves great expense, it is difficult to provide in reality
It tramples and makees maintenance training use, cause maintenance training work that can not carry out, to influence the quick of equipment Readiness and practicability
It is formed；(3) actual load maintenance training is combined, limitation is very big, and finding phenomenon of the failure and the maintenance operation that can be known from experience are limited, mostly
Abstract understanding can only be carried out from books；(4) maintenance training combination actual load is repaired, and is limited to decompose more, be combined, and is examined to failure
The important content training for surveying this maintenance training is very few；(5) actual load is combined to repair training, it is at high cost, even can not.
For new equipment, the problem of being trained in conjunction with actual load, is just more prominent, because new equipment has a cycle in place,
In this period, maintenance personal does not reach equipment at all, and there are no be trained from conjunction with equipment.Even if new equipment is
Assembly in place, since most new equipments are expensive, system complex, it is very high to be trained cost in conjunction with actual load, this
Under situation, it is unpractical for being trained in conjunction with actual load.
Summary of the invention
To solve the above-mentioned problems, the purpose of the present invention is to provide a kind of aircraft maintenance virtual training system (VMTS),
Real-time, three-dimensional aircraft maintenance reality environment is established using computer virtual reality technology and VC++ programming language, to carry out
Repair virtual training and advanced operating environment and simulation means be provided, for improve training effect, improve maintenance it is horizontal and into
Row maintainability analysis plays a significant role.It takes virtual instrument to be tested, the simulation training strategy of fault location, constructs base
In the virtual test technology model framework of demand.Solves dimension by virtual test technology and the coordinated method of reasoning module
Generally existing fault diagnosis type set pattern problem during virtual training is repaired, and the failure under complex state can be completed
Diagnostic task meets various fault diagnosis training requirements.
It is another object of the present invention to provide a kind of maintenance trainings of the height virtual reality under above-mentioned human-computer interaction
Method.
In order to achieve the above object, aircraft maintenance virtual training system provided by the invention includes aircraft cognition module, original
Manage study module, maintenance module, virtual instrument module before boat, virtually dismantle module, fault diagnosis module, help document module,
Self evaluation module, virtual instrument test module, failure generation module；Wherein: virtual disassembly module is that the maintenance of this system is empty
Quasi- core, by the corresponding interface respectively with virtual instrument module, fault diagnosis module, help document module, self examination
Module, virtual instrument test module, failure generation module are connected, and realize data interaction in common completion maintenance virtual process
The generation of failure, test, diagnosis and exclude this series of maintenance virtual process；Aircraft cognition module 1, principle learn mould
Block and above-mentioned maintenance virtual process are connected by the corresponding interface with the preceding maintenance module that navigates, and are realized and are tieed up to aircarrier aircraft correlation
Repair the study of theoretical knowledge.
The aircraft maintenance virtual training method that this method provides includes the following steps carried out in order:
The S1 stage that step 1) failure generates；In this stage, system has the malfunction of an initialization, and user can also
Specific failure is generated in the selection of failure generation module or generates failure at random, subsequently into the S2 stage；
Step 2) virtual instrument monitors the aircraft S2 stage whether working properly；In this stage, user is via Virtual instrument
Table module dynamic monitoring aircraft operating condition, enters the S3 stage if failure；Otherwise current aircraft operation conditions is good, enters
The S5 stage.
The S3 stage of step 3) fault location；In this stage, user is for the phenomenon of the failure of virtual instrument using virtual
Mode of the instrument test in conjunction with inference machine carries out fault diagnosis, maintenance program is generated with reference to service document, subsequently into S4 rank
Section.
The virtual dismounting and change component of step 4) repairs the virtual S4 stage；In this stage, user is according to maintenance side
Case carries out the exclusion that machine & equipment etc. carries out failure, subsequently into the S2 stage.
Step 5) asks whether the S5 stage to log off, and in the state of current aircraft operational excellence, inquiry user is
It is no to exit maintenance virtual system, click the inlet that "No" then returns to the S1 stage；Otherwise, it logs off.
As shown in figure 4, the control method of the fault location includes the following step carried out in order in the S3 stage
It is rapid:
The S6 stage of step 1) virtual instrument test；In this stage, user's reference Help document is selected suitable virtual
Instrument tests the component that may cause failure, subsequently into the S7 stage.
The S7 stage of step 2) fault diagnosis；In this stage, inside the data run that inference machine was obtained according to the S6 stage
Inference mechanism provides diagnostic result, then into the S8 stage；
The S8 stage of step 3) generation diagnosis scheme；In this stage, system generates maintenance program, is fault diagnosis i.e. S7
One after the completion of stage as a result, realize fault location.
As shown in figure 5, in the S6 stage, the control method of the virtual instrument test include carry out in order it is following
Step:
1) the S90 stage of the parts to be tested is selected；In this stage, user selectes the parts to be tested first in virtual environment,
Subsequently into the S91 stage.
2) the S91 stage of virtual instrument is selected；In this stage, Virtual instrument needed for the selected progress virtual detection of user
Device, subsequently into the S92 stage.
3) judgement part and instrument whether matched S92 stage；In this stage, system judges that instrument selected by user is
No and surveyed parts match is then to enter the S93 stage, otherwise returns to S91；
4) the S93 stage of instrument and component port is connected；In this stage, user passes through setting-out connection instrument and component
The mode of port carries out virtual link, subsequently into the S94 stage.
5) judge the port whether matched S94 stage；In this stage, system judge user selection port whether with work as
Preceding test matching, is then to enter the S95 stage；Otherwise, the S93 stage is returned to.
6) the S95 stage of output data；In this stage, the related status information of system output part to be tested.
As shown in fig. 6, the control method of the fault diagnosis includes the following step carried out in order in the S7 stage
It is rapid:
1) judge the system whether normal S11 stage；In this stage, it carries out each functional module first to system and its connects
The related self-test of mouth, then judges whether system is normal according to self-detection result, if it is judged that being "Yes", then enters S12 rank
Section；Otherwise, the S21 stage of abnormality processing is jumped to, to carry out corresponding abnormality processing；
2) the S12 stage of fault message is selected；In this stage, the phase that system selects reading user by troubleshooting interface
The phenomenon of the failure information of pass, then into the S13 stage；
3) judge to diagnose the S13 stage whether decision starts；In this stage, system will judge whether user clicks troubleshooting
" confirmation is selected " button on interface then enters the S14 stage if it is judged that being "Yes"；Otherwise, the S22 stage is jumped to
Inlet continues to be waited for after delay；
4) analysis module obtains the S14 stage of data；Failure tree analysis (FTA) module pair and selected event are utilized in this stage
The relevant fault tree data of barrier phenomenon are obtained, and are established and visualized to obtain fault tree, subsequently into the S15 stage；
5) qualitative and quantitative analysis is carried out to fault tree data to obtain may cause the failure original of current failure phenomenon
Because of the S15 stage of cut set；In this stage, cut set can be ranked up according to the different requirements of user and be output to Decision Inference mould
Block, subsequently into the S16 stage；
6) the reasoning process visual S16 stage under human-computer interaction；In this stage, user will be obtained with the S15 stage
Cut set be to carry out the reasoning of process visualization, subsequently into the S17 stage with reference to reasoning starting point is given；
7) the S17 stage whether judging and deducing is limited；In this stage, user can intuitively see at Decision Inference interface
Whether reasoning is limited, if unrestricted, i.e., enters the S18 stage if diagnosis is completed；Otherwise, the inlet for jumping to the S16 stage, after
The continuous reasoning carried out under human-computer interaction；
8) diagnosis is completed, and generates the S18 stage of diagnosis report；In this stage, system will explain mould according to expertise
Block generates diagnosis report, subsequently into the S19 stage；
9) judge diagnosis whether the successful S19 stage；In this stage system according to diagnosis report judge diagnosis whether at
Function then enters the S23 stage, logs off if it is judged that being "Yes"；Otherwise, the inlet in S20 stage is jumped to；
10) judge whether to continue to use the S20 stage of this system；In this stage, system will judge whether user clicks
" continuing to use " button then jumps to the inlet in S24 stage if it is judged that being "Yes"；Otherwise, S23 rank is entered
The inlet of section, exits this system；
11) the S24 stage of original system setting is gone back；System reverts to certain variables, tables of data etc. initially in this stage
State continues to use this system back to the inlet in S11 stage.
In above-described each concrete operations stage, any link is beset by technical hitches or system problem, then system
It can sound an alarm, prompt custom system to restart closing, and staff is reminded to make respective handling in time.
Aircraft maintenance virtual training system and method provided by the invention is applied not only to carry out daily maintenance to flight crew
With the training of debugging, flight crew's real work technical ability is improved, can be also used for remote fault diagnosis, the maintenance side of aircraft
Case is formulated；At the same time, it or aircarrier aircraft maintenance and relevant speciality student carry out aircraft theory study and practice operates
Ideal tools.
Detailed description of the invention
Fig. 1 is that aircraft maintenance virtual training system (VMTS) provided by the invention constitutes figure.
Fig. 2 is the design schematic diagram of the virtual instrument used in maintenance virtual process provided by the invention.
Fig. 3 is aircraft maintenance virtual training method flow diagram provided by the invention.
Fig. 4 is fault location flow chart in aircraft maintenance virtual training method provided by the invention.
Fig. 5 is virtual instrument test flow chart in aircraft maintenance virtual training method provided by the invention.
Fig. 6 is Troubleshooting Flowchart in aircraft maintenance virtual training method provided by the invention.
Specific embodiment
Aircraft maintenance virtual training system and method provided by the invention is carried out in the following with reference to the drawings and specific embodiments
It is described in detail.
As shown in Figure 1, aircraft maintenance virtual training system provided by the invention includes aircraft cognition module 1, principle study
Module 2, navigate before maintenance module 3, virtual instrument module 4, virtual disassembly module 5, fault diagnosis module 6, help document module 7,
Self evaluation module 8, virtual instrument test module 9, failure generation module 10；Wherein: virtual disassembly module 5 is the dimension of this system
Repair virtual core, by the corresponding interface respectively with virtual instrument module 4, fault diagnosis module 6, help document module 7, from
My evaluation module 8, virtual instrument test module 9, failure generation module 10 are connected, and realize that data interaction is repaired with common completion
The generation of failure in virtual process, test, diagnosis and exclude this series of maintenance virtual process；Aircraft cognition module 1,
Principle study module 2 and above-mentioned maintenance virtual process are connected by the corresponding interface with the preceding maintenance module 3 that navigates, and are realized to the people
The study for aircraft correlation maintenance theories knowledge of navigating.
The aircraft cognition module 1 includes structure cognition, system cognizant, the cognition of virtual driving cabin instrument, auxiliary tool
Four big functions are recognized, the study for realizing aircarrier aircraft maintenance and relevant speciality student to knowledge in terms of aircaft configuration.
The principle study module 2 repairs for realizing aircarrier aircraft and relevant speciality student is to aircraft various aspects work
Make the study of principle knowledge.
A series of activities of the maintenance module 3 for being safeguarded before being navigated in simulated implementation locomotive work before the boat: right
Each erect-position of aircraft, position according to work card sequence and tool etc. requirement simulation realize.
The virtual instrument module 4 is used for the operating status of simulative display current aircraft, i.e., system is according to virtual instrument
Whether judging airplane fault.
The virtual disassembly module 5 realizes to include right in operation for realizing virtual dismounting and change new parts
A series of functions of the matching of maintenance tool and the inspection for repairing step etc..
The fault diagnosis module 6 is used to carry out failure according to the characterization of fault virtual instrument in maintenance virtual process
Diagnosis obtains failure cause, provides foundation for maintenance program formulation.
It includes maintenance step that the help document module 7, which is used to provide in the form of pdf document in maintenance virtual process,
Suddenly equal reference information.
Self evaluation module 8 is used to repair this virtual operating process and score and for this maintenance
Virtual operation provides examination opinion, and the formulation for next maintenance program provides reference.
Detection of the virtual instrument test module 9 for Design of Virtual Instrument and realization to component, first this function
Can a set of virtual instrument development platform of module design, there is visualization, interactive graphics (IG) interface control buttons to carry out various instrument for it
Device Functional Design, user can intuitively construct virtual instrument according to detection demand, complete to the data analysis of tested object
Reason, data storage, the functions such as the result is shown.Then when being detected using virtual instrument, application program can read system number
It according to the information of the library node, the analysis returned data such as compares, calculate by its data analysis module, while reflecting to virtual
On the panel of instrument, fault diagnosis module can make inferences according to corresponding data.
The failure generation module 10 is used to set the initial operating state of aircraft, i.e., whether failure, which kind of failure, with
User is allowed to have what is be directed to be trained.
Aircraft maintenance virtual training system provided by the invention has the study to aircarrier aircraft correlation maintenance theories knowledge
And the virtual two big function class of maintenance.Maintenance virtually has the malfunction of an initialization, and certain user can also generate in failure
Module 10 carries out failure generation, may be selected to generate specific failure or selection generates failure at random, as a result, the current work of aircraft
Making situation is a certain malfunction.Then, user starts formally to repair virtual training: firstly, user is via virtual instrument
Module 4 dynamically monitors aircraft operating condition, and the fault type of aircraft is judged by the data of instrument.Then, user uses virtual
Instrument test module 9 obtains the current operation information of component and carries out fault diagnosis and reference Help text via fault diagnosis module 6
Shelves module 7 generates maintenance program.Finally, user enters virtual disassembly module 5 with reference to the maintenance program generated, renewal part etc. comes
It repairs the exclusion for having carried out failure and judges whether failure excludes by the monitoring of virtual instrument, if failure does not exclude
Then repeat the above process.It is every to complete Single Maintenance virtual process user self evaluation module 8 can be used to carry out to oneself this dimension
Virtual training is repaired to score.
Before boat in 3 stage of maintenance module, user can each erect-position to aircraft, position according to work card sequence and work
The equal demand of tool is gradually checked and is safeguarded.User can pass through aircraft cognition module 1, principle study module in the process
2 learn to carry out the corresponding principle knowledge in each position, and are safeguarded by maintenance virtual process.
Fig. 2 is the design schematic diagram for repairing the virtual instrument used in virtual process, from element setting to instrument finished product
Meter process is broadly divided into four parts, is divided into unit element library, functional module, " instrument demand " eventually form complete product.
As unit element library, each functional module is made of the above three parts for function library, component library and auxiliary resources library.
Function is defined in the movement on element and other resources, and function library not only includes common function, also to include each
The function of the different instruments of adaptation in field.Component library includes various virtual instruments existing in a software form and control element.It is empty
Quasi- instrument includes hundreds of instrument such as oscillograph, PH phasemeter, scanner, voltmeter；Control element includes range switch, wave band choosing
Select switch, knob etc..Auxiliary resources includes enhancing the resource such as audio alarm, indicator light of virtual effect the generic resources such as to show.
Each functional module is recombinated with unit element library according to logical relation actually required or technical requirements, is assembled by user,
And connected, debugged accordingly, it is integrated into a multiple functional finished product virtual instrument.
Aircraft maintenance virtual training method provided by the invention is to implement on the aircraft maintenance virtual system, is such as schemed
Shown in 3, this method includes the following steps carried out in order:
The S1 stage that step 1) failure generates；In this stage, system has the malfunction of an initialization, and user can also
Specific failure is generated in the selection of failure generation module 10 or generates failure at random, subsequently into the S2 stage；
Step 2) virtual instrument monitors the aircraft S2 stage whether working properly；In this stage, user is via Virtual instrument
Table module 4 dynamically monitors aircraft operating condition, and the S3 stage is entered if failure；Otherwise current aircraft operation conditions is good, into
Enter the S5 stage.
The S3 stage of step 3) fault location；In this stage, user is for the phenomenon of the failure of virtual instrument using virtual
Mode of the instrument test in conjunction with inference machine carries out fault diagnosis, maintenance program is generated with reference to service document, subsequently into S4 rank
Section.
The virtual dismounting and change component of step 4) repairs the virtual S4 stage；In this stage, user is according to maintenance side
Case carries out the exclusion that machine & equipment etc. carries out failure, subsequently into the S2 stage.
Step 5) asks whether the S5 stage to log off, and in the state of current aircraft operational excellence, inquiry user is
It is no to exit maintenance virtual system, click the inlet that "No" then returns to the S1 stage；Otherwise, it logs off.
As shown in figure 4, the control method of the fault location includes the following step carried out in order in the S3 stage
It is rapid:
The S6 stage of step 1) virtual instrument test；In this stage, user's reference Help document is selected suitable virtual
Instrument tests the component that may cause failure, subsequently into the S7 stage.
The S7 stage of step 2) fault diagnosis；In this stage, inside the data run that inference machine was obtained according to the S6 stage
Inference mechanism provides diagnostic result, then into the S8 stage；
The S8 stage of step 3) generation diagnosis scheme；In this stage, system generates maintenance program, is fault diagnosis i.e. S7
One after the completion of stage as a result, realize fault location.
As shown in figure 5, in the S6 stage, the control method of the virtual instrument test include carry out in order it is following
Step:
1) the S90 stage of the parts to be tested is selected；In this stage, user selectes the parts to be tested first in virtual environment,
Subsequently into the S91 stage.
There is visualization, interactive graphics (IG) interface control buttons to carry out various instrumental function designs for it, and user can be according to detection
Demand intuitively constructs virtual instrument, completes the Data Analysis Services to tested object, and data storage waits function as the result is shown
Energy.Whole process is as shown in Figure 1.The solution of Second Problem is when virtual instrument detection, and application program, which can read, is
It unites the information of the database node, the analysis returned data such as compares, calculates by data analysis module, while reflecting to empty
On the panel of quasi- instrument, according to corresponding data, make inferences.
2) the S91 stage of virtual instrument is selected；In this stage, Virtual instrument needed for the selected progress virtual detection of user
Device, subsequently into the S92 stage.
3) judgement part and instrument whether matched S92 stage；In this stage, system judges that instrument selected by user is
No and surveyed parts match is then to enter the S93 stage, otherwise returns to S91；
4) the S93 stage of instrument and component port is connected；In this stage, user passes through setting-out connection instrument and component
The mode of port carries out virtual link, subsequently into the S94 stage.
5) judge the port whether matched S94 stage；In this stage, system judge user selection port whether with work as
Preceding test matching, is then to enter the S95 stage；Otherwise, the S93 stage is returned to.
6) the S95 stage of output data；In this stage, the related status information of system output part to be tested.
As shown in fig. 6, the control method of the fault diagnosis includes the following step carried out in order in the S7 stage
It is rapid:
1) judge the system whether normal S11 stage；In this stage, it carries out each functional module first to system and its connects
The related self-test of mouth, then judges whether system is normal according to self-detection result, if it is judged that being "Yes", then enters S12 rank
Section；Otherwise, the S21 stage of abnormality processing is jumped to, to carry out corresponding abnormality processing；
2) the S12 stage of fault message is selected；In this stage, the phase that system selects reading user by troubleshooting interface
The phenomenon of the failure information of pass, then into the S13 stage；
3) judge to diagnose the S13 stage whether decision starts；In this stage, system will judge whether user clicks troubleshooting
" confirmation is selected " button on interface then enters the S14 stage if it is judged that being "Yes"；Otherwise, the S22 stage is jumped to
Inlet continues to be waited for after delay；
4) analysis module obtains the S14 stage of data；Failure tree analysis (FTA) module pair and selected event are utilized in this stage
The relevant fault tree data of barrier phenomenon are obtained, and are established and visualized to obtain fault tree, subsequently into the S15 stage；
5) qualitative and quantitative analysis is carried out to fault tree data to obtain may cause the failure original of current failure phenomenon
Because of the S15 stage of cut set；In this stage, cut set can be ranked up according to the different requirements of user and be output to Decision Inference mould
Block, subsequently into the S16 stage；
6) the reasoning process visual S16 stage under human-computer interaction；In this stage, user will be obtained with the S15 stage
Cut set be to carry out the reasoning of process visualization, subsequently into the S17 stage with reference to reasoning starting point is given；
7) the S17 stage whether judging and deducing is limited；In this stage, user can intuitively see at Decision Inference interface
Whether reasoning is limited, if unrestricted, i.e., enters the S18 stage if diagnosis is completed；Otherwise, the inlet for jumping to the S16 stage, after
The continuous reasoning carried out under human-computer interaction；
8) diagnosis is completed, and generates the S18 stage of diagnosis report；In this stage, system will explain mould according to expertise
Block generates diagnosis report, subsequently into the S19 stage；
9) judge diagnosis whether the successful S19 stage；In this stage system according to diagnosis report judge diagnosis whether at
Function then enters the S23 stage, logs off if it is judged that being "Yes"；Otherwise, the inlet in S20 stage is jumped to；
10) judge whether to continue to use the S20 stage of this system；In this stage, system will judge whether user clicks
" continuing to use " button then jumps to the inlet in S24 stage if it is judged that being "Yes"；Otherwise, S23 rank is entered
The inlet of section, exits this system；
11) the S24 stage of original system setting is gone back；System reverts to certain variables, tables of data etc. initially in this stage
State continues to use this system back to the inlet in S11 stage.
In above-described each concrete operations stage, any link is beset by technical hitches or system problem, then system
It can sound an alarm, prompt custom system to restart closing, and staff is reminded to make respective handling in time.
Claims (5)
1. a kind of aircraft maintenance virtual training system, it is characterised in that: the aircraft maintenance virtual training system includes aircraft
Cognition module (1), principle study module (2), navigate before maintenance module (3), virtual instrument module (4), virtually dismantle module (5),
Fault diagnosis module (6), help document module (7), self evaluation module (8), virtual instrument test module (9), failure generate
Module (10)；Wherein: virtually dismantle virtual core of maintenance that module (5) are this system, by the corresponding interface respectively with void
Quasi- instrumentation module (4), fault diagnosis module (6), help document module (7), self evaluation module (8), virtual instrument test mould
Block (9), failure generation module (10) are connected, and realize data interaction with the life of the failure in common completion maintenance virtual process
At, test, diagnose and exclude this series of maintenance virtual process；Aircraft cognition module (1), principle study module (2) with
And above-mentioned maintenance virtual process is connected by the corresponding interface with the preceding maintenance module (3) that navigates, and is realized and is tieed up to aircarrier aircraft correlation
Repair the study of theoretical knowledge.
2. a kind of training method using aircraft maintenance virtual system described in claim 1, it is characterised in that: the training
Method includes the following steps carried out in order:
The S1 stage that step 1) failure generates；In this stage, system has the malfunction of an initialization, and user can also be in event
Barrier generation module (10) selection generates specific failure or generates failure at random, subsequently into the S2 stage；
Step 2) virtual instrument monitors the aircraft S2 stage whether working properly；In this stage, user is via virtual instrument mould
Block 4 dynamically monitors aircraft operating condition, and the S3 stage is entered if failure；Otherwise current aircraft operation conditions is good, into S5
Stage；
The S3 stage of step 3) fault location；In this stage, user uses virtual instrument for the phenomenon of the failure of virtual instrument
The mode tested in conjunction with inference machine carries out fault diagnosis, maintenance program is generated with reference to service document, subsequently into the S4 stage；
The virtual dismounting and change component of step 4) repairs the virtual S4 stage；In this stage, user according to maintenance program into
Row machine & equipment is to carry out the exclusion of failure, subsequently into the S2 stage；
Step 5) asks whether the S5 stage to log off, in the state of current aircraft operational excellence, asks the user whether to move back
Virtual system is repaired out, clicks the inlet that "No" then returns to the S1 stage；Otherwise, it logs off.
3. the training method of aircraft maintenance virtual system according to claim 2, it is characterised in that: in the S3 stage, institute
The control method for the fault location stated includes the following steps carried out in order:
The S6 stage of step 1) virtual instrument test；In this stage, user's reference Help document selects suitable virtual instrument
The component that may cause failure is tested, subsequently into the S7 stage；
The S7 stage of step 2) fault diagnosis；In this stage, the data run internal reasoning that inference machine is obtained according to the S6 stage
Mechanism provides diagnostic result, then into the S8 stage；
The S8 stage of step 3) generation diagnosis scheme；In this stage, system generates maintenance program, is the fault diagnosis i.e. S7 stage
One after the completion is as a result, realize fault location.
4. the training method of aircraft maintenance virtual system according to claim 3, it is characterised in that: in the S6 stage, institute
The control method for the virtual instrument test stated includes the following steps carried out in order:
1) the S90 stage of the parts to be tested is selected；In this stage, user selectes the parts to be tested first in virtual environment, then
Into the S91 stage；
2) the S91 stage of virtual instrument is selected；In this stage, virtual instrument needed for the selected progress virtual detection of user, so
Enter the S92 stage afterwards；
3) judgement part and instrument whether matched S92 stage；In this stage, system judge instrument selected by user whether with
Surveyed parts match is then to enter the S93 stage, otherwise returns to S91；
4) the S93 stage of instrument and component port is connected；In this stage, the port that user passes through setting-out connection instrument and component
Mode carry out virtual link, subsequently into the S94 stage；
5) judge the port whether matched S94 stage；In this stage, system judge user selection port whether with it is current
Test matching is then to enter the S95 stage；Otherwise, the S93 stage is returned to；
6) the S95 stage of output data；In this stage, the related status information of system output part to be tested.
5. the training method of aircraft maintenance virtual system according to claim 3, it is characterised in that: in the S7 stage, institute
The control method for the fault diagnosis stated includes the following steps carried out in order:
1) judge the system whether normal S11 stage；In this stage, each functional module and its interface are carried out first to system
Then related self-test judges whether system is normal according to self-detection result, if it is judged that being "Yes", then enter the S12 stage；It is no
Then, the S21 stage of abnormality processing is jumped to, to carry out corresponding abnormality processing；
2) the S12 stage of fault message is selected；In this stage, system will read user selected by troubleshooting interface it is relevant
Phenomenon of the failure information, then into the S13 stage；
3) judge to diagnose the S13 stage whether decision starts；In this stage, system will judge whether user clicks troubleshooting interface
On " confirmation selected " button then enter the S14 stage if it is judged that being "Yes"；Otherwise, the entrance in S22 stage is jumped to
Place, continues to be waited for after delay；
4) analysis module obtains the S14 stage of data；It is existing with selected failure using failure tree analysis (FTA) module pair in this stage
It as relevant fault tree data are obtained, and establishes and visualizes to obtain fault tree, subsequently into the S15 stage；
5) qualitative and quantitative analysis is carried out to fault tree data to obtain may cause the failure cause of current failure phenomenon and cut
The S15 stage of collection；In this stage, cut set can require to be ranked up and be output to Decision Inference module according to the different of user,
Subsequently into the S16 stage；
6) the reasoning process visual S16 stage under human-computer interaction；In this stage, user cuts what is obtained with the S15 stage
Collection is, with reference to reasoning starting point is given, carries out the reasoning of process visualization, subsequently into the S17 stage；
7) the S17 stage whether judging and deducing is limited；In this stage, user can intuitively see reasoning at Decision Inference interface
Whether it is limited, if unrestricted, i.e., enters the S18 stage if diagnosis is completed；Otherwise, the inlet for jumping to the S16 stage, continue into
Reasoning under row human-computer interaction；
8) diagnosis is completed, and generates the S18 stage of diagnosis report；In this stage, system will be raw according to expertise explanation module
At diagnosis report, subsequently into the S19 stage；
9) judge diagnosis whether the successful S19 stage；System judges whether diagnosis succeeds according to diagnosis report in this stage, such as
Fruit judging result is "Yes", then enters the S23 stage, log off；Otherwise, the inlet in S20 stage is jumped to；
10) judge whether to continue to use the S20 stage of this system；In this stage, system will judge whether user clicks " after
It is continuous to use " button, if it is judged that then jumping to the inlet in S24 stage for "Yes"；Otherwise, entering for S23 stage is entered
At mouthful, this system is exited；
11) the S24 stage of original system setting is gone back；Certain variables, tables of data are reverted to original state by system in this stage, are returned
The inlet for returning to the S11 stage, continues to use this system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610918228.8A CN106652721B (en) | 2016-10-21 | 2016-10-21 | A kind of aircraft maintenance virtual training system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610918228.8A CN106652721B (en) | 2016-10-21 | 2016-10-21 | A kind of aircraft maintenance virtual training system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106652721A CN106652721A (en) | 2017-05-10 |
| CN106652721B true CN106652721B (en) | 2019-01-01 |
Family
ID=58856596
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610918228.8A Expired - Fee Related CN106652721B (en) | 2016-10-21 | 2016-10-21 | A kind of aircraft maintenance virtual training system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106652721B (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108267969B (en) * | 2017-12-14 | 2021-04-13 | 广州民航职业技术学院 | Maintenance training monitoring system for aircraft composition system and implementation method thereof |
| CN109270851B (en) * | 2018-08-17 | 2021-08-13 | 北京航空航天大学 | Design method of man-machine interaction dynamic fault tree cognitive overload fault logic gate |
| CN109446718B (en) * | 2018-11-15 | 2023-06-20 | 清能华控科技有限公司 | Visual development method and system for protection device and control device |
| CN110502868B (en) * | 2019-09-06 | 2020-06-12 | 中国人民解放军火箭军工程大学 | Method for establishing multi-level virtual maintenance training system for complex equipment vehicle |
| CN110764615B (en) * | 2019-10-17 | 2023-08-04 | 辽宁中航信诺科技有限公司 | Method for checking and maintaining aircraft landing gear retraction system based on AR equipment |
| CN110796915A (en) * | 2020-01-03 | 2020-02-14 | 南昌市小核桃科技有限公司 | Automatic VR (virtual reality) machine training system and method according to big data |
| CN112951027A (en) * | 2021-03-08 | 2021-06-11 | 中铁第一勘察设计院集团有限公司 | Electricity affair training system |
| CN113706955B (en) * | 2021-08-18 | 2023-03-14 | 凌云(宜昌)航空装备工程有限公司 | Aviation maintenance skill simulation training system |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090220929A1 (en) * | 2006-03-17 | 2009-09-03 | Daniel Warren C | Pc-based simulator training system and methods |
| CN100568317C (en) * | 2008-01-04 | 2009-12-09 | 中国人民解放军空军第一航空学院 | Control apparatus for airplane synthetic guarantee simulated training system |
| CN103020332A (en) * | 2012-10-22 | 2013-04-03 | 南京航空航天大学 | Intelligent virtual maintenance training system for civil aircraft |
| CN103823939B (en) * | 2014-03-07 | 2016-12-07 | 北京航空航天大学 | A kind of safe qualitative factor method for quantitatively evaluating of maintenance based on Virtual Maintenance |
| CN104573230B (en) * | 2015-01-06 | 2018-05-18 | 北京卫星环境工程研究所 | Towards the visual human's job task simulation analysis system and method for spacecraft maintenance |
| CN104916182B (en) * | 2015-05-27 | 2017-07-28 | 北京宇航系统工程研究所 | A kind of immersive VR maintenance and Training Simulation System |
| CN105913754B (en) * | 2016-06-21 | 2018-05-25 | 中国民航大学 | A kind of airborne electronic device circuitry grade Virtual Maintenance teaching platform |
-
2016
- 2016-10-21 CN CN201610918228.8A patent/CN106652721B/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| CN106652721A (en) | 2017-05-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106652721B (en) | A kind of aircraft maintenance virtual training system and method | |
| Boring et al. | Issues in benchmarking human reliability analysis methods: A literature review | |
| CA2510556C (en) | Method and system for simulation-based troubleshooting and fault verification in operator-controlled complex systems | |
| Kontogiannis | Stress and operator decision making in coping with emergencies | |
| Sauer et al. | A conceptual framework for designing micro-worlds for complex work domains: a case study of the Cabin Air Management System | |
| Fernandes et al. | Exploring measures of workload, situation awareness, and task performance in the main control room | |
| Stanton et al. | Application of cognitive work analysis to system analysis and design | |
| Huang et al. | Experimental studies of computerized procedures and team size in nuclear power plant operations | |
| Lau et al. | Empirical evaluation of the Process Overview Measure for assessing situation awareness in process plants | |
| Ahmad et al. | Usability Management System (USEMATE): A web-based automated system for managing usability testing systematically | |
| Zhang et al. | Digital technology enhanced situation awareness for construction safety: Systematic review and future research directions | |
| Sadasivan et al. | Technology to support inspection training in the general aviation industry: Specification and design | |
| Kraemer et al. | Real time validation of online situation awareness questionnaires in simulated approach air traffic control | |
| CN109949647A (en) | THDS malfunction elimination training system, Training Methodology and device | |
| Demas et al. | Advancing human performance assessment capabilities for integrated system validation—A human-in-the-loop experiment | |
| Gorin et al. | Test design with higher order cognition in mind | |
| Canham | Operability Testing of Command, Control, Communications, Computers, and Intelligence (C4I) Systems | |
| Kvalem et al. | The simulator-based halden manmachine laboratory (hammlab) and its application in human factor studies | |
| Lo et al. | Measuring group situation awareness in a multiactor gaming simulation: A pilot study of railway and passenger traffic operators | |
| Abbass et al. | Towards a code of best practice for evaluating air traffic control interfaces | |
| Zhang et al. | Research on Virtual Maintenance Training for Airborne Electronic Equipments | |
| Sánchez-Gálvez et al. | A usability evaluation methodology of digital library | |
| Fowlkes et al. | Event-based approach to training (EBAT) | |
| Celikten et al. | Assigning product development roles to software engineers based on personality types and skills | |
| Towne | Automated knowledge acquisition for intelligent support of diagnostic reasoning |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190101 Termination date: 20191021 |