CN106652721A - Virtualized training system and method for airplane maintenance - Google Patents
Virtualized training system and method for airplane maintenance Download PDFInfo
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- CN106652721A CN106652721A CN201610918228.8A CN201610918228A CN106652721A CN 106652721 A CN106652721 A CN 106652721A CN 201610918228 A CN201610918228 A CN 201610918228A CN 106652721 A CN106652721 A CN 106652721A
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Abstract
The invention provides a virtualized training system and method for airplane maintenance. The system comprises an airplane cognizing module, a principle learning module, a prior-flight maintenance module, a virtualized instrument module, a virtualized dismantling module, a fault diagnosing module, a helper film module, a self-evaluation module, a virtualized instrument testing module, and a fault generating module. The virtualized training system and method proposed by the invention can not only train the flight crew to conduct daily maintenance and rule out fault to make the crew more skilled in their work, but also can be used for diagnosing the fault of an airplane remotely and making maintenance plans. At the same time, the system and method are also ideal for civil airplane maintenance and good for related students to learn about airplane theories and practical operations.
Description
Technical field
The invention belongs to the maintenance virtual technology field in aerospace field, more particularly to a kind of aircraft maintenance is virtual
Training system and method.
Background technology
At present almost all of Large Complex Equipment is all configured without maintenance training equipment, and the training to maintainer is main
It is to carry out with reference to actual load, there is following defect:L () combines actual load maintenance training, its 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
Trample and used as maintenance training, cause maintenance training work to carry out, so as to affect the quick of equipment Readiness and practicality
Formed；(3) with reference to actual load maintenance training, 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 is keeped in repair with reference to actual load, is limited to decompose more, is combined, and failure is examined
The important content training for surveying this maintenance training is very few；(5) maintenance training is carried out with reference to actual load, high cost is even impossible.
For new equipment, just more project with reference to the problem that actual load is trained, because new equipment has in place a cycle,
In this cycle, maintainer does not reach equipment at all, more has no way of being trained with reference to equipment.Even if new equipment is
In place, because most new equipments are expensive, system complex, therefore it is very high to be trained cost with reference to actual load, this for assembling
Under situation, it is unpractical to be trained with reference to actual load.
The content of the invention
In order to solve the above problems, it is an object of the invention to provide a kind of aircraft maintenance virtual training system (VMTS),
Real-time, three-dimensional aircraft maintenance reality environment is set up using computer virtual reality technology and VC++ programming languages, to carry out
Maintenance virtual training provides advanced operating environment and simulation meanses, for improving training effect, improves maintenance level and enters
Row maintainability analysis has important function.Take virtual instrument to be tested, the simulation training strategy of fault location, construct base
In the virtual test technology model framework of demand.Dimension is solved by the method for virtual test technology and reasoning module coordinated
The fault diagnosis type set pattern problem of generally existing during virtual training is repaiied, and the failure under complex state can be completed
Diagnostic task, meets various fault diagnosis training requirements.
Further object is that providing a kind of maintenance training of the height virtual reality under above-mentioned man-machine interaction
Method.
In order to achieve the above object, the aircraft maintenance virtual training system that the present invention is provided includes aircraft cognition module, original
Reason study module, boat before maintenance module, virtual instrument module, virtually dismantle module, fault diagnosis module, help document module,
Self evaluation module, virtual instrument test module, failure generation module；Wherein：Virtual dismounting module is empty for the maintenance of the system
The core of plan, its pass through 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 to complete to keep in repair in virtual process jointly
Failure generation, test, diagnose and exclude this series of maintenance virtual process；Aircraft cognition module 1, principle learns mould
Block and above-mentioned maintenance virtual process are connected by the corresponding interface with maintenance module before boat, realize tie up related to aircarrier aircraft
Repair the study of theoretical knowledge.
The aircraft maintenance virtual training method that this method is provided includes the following steps for carrying out in order：
Step 1) failure generate the S1 stages；In this stage, system has an initialized malfunction, and user also may be used
Select to generate specific failure in failure generation module or generate failure at random, subsequently into the S2 stages；
Step 2) the virtual instrument monitoring aircraft S2 stages whether working properly；In this stage, user is via Virtual instrument
Table module dynamic monitoring aircraft ruuning situation, enters the S3 stages if failure；Otherwise current aircraft operation conditions is good, enters
The S5 stages.
Step 3) fault location the S3 stages；In this stage, user adopts virtual for the phenomenon of the failure of virtual instrument
The mode that instrument test is combined with inference machine carries out fault diagnosis, maintenance program is generated with reference to service document, subsequently into S4 ranks
Section.
Step 4) virtual dismounting and change part carries out keeping in repair the virtual S4 stages；In this stage, user is according to maintenance side
Case carries out machine ＆ equipment etc. and carries out the exclusion of failure, subsequently into the S2 stages.
Step 5) S5 stages for logging off are asked whether, in the state of current aircraft operational excellence, inquiry user is
It is no to exit maintenance virtual system, click on the porch that "No" then returns to the S1 stages；Otherwise, log off.
As shown in figure 4, in the S3 stages, the control method of described fault location includes the following step for carrying out in order
Suddenly：
Step 1) virtual instrument test the S6 stages；In this stage, user's reference Help document is from suitable virtual
Instrument is tested the part of possible causing trouble, subsequently into the S7 stages.
Step 2) fault diagnosis the S7 stages；In this stage, inside the data run that inference machine was obtained according to the S6 stages
Inference mechanism provides diagnostic result, then into the S8 stages；
Step 3) generate diagnosis scheme the S8 stages；In this stage, system generates maintenance program, is fault diagnosis i.e. S7
A result after the completion of stage, that is, realize fault location.
As shown in figure 5, in the S6 stages, the control method of described virtual instrument test is following including what is carried out in order
Step：
1) the S90 stages of UUT are selected；In this stage, user selectes UUT first in virtual environment,
Subsequently into the S91 stages.
2) the S91 stages of virtual instrument are selected；In this stage, user selectes the Virtual instrument carried out needed for virtual detection
Device, subsequently into the S92 stages.
3) the S92 stages that whether judgement part matches with instrument；In this stage, system judges that the instrument selected by user is
It is no with survey parts match, be then into the S93 stages, otherwise to return to S91；
4) the S93 stages of instrument and component port are connected；In this stage, user connects instrument with part by setting-out
The mode of port carries out virtual link, subsequently into the S94 stages.
5) the S94 stages whether port matches are judged；In this stage, system judge port that user selects whether with work as
Front test matching, is the S95 stages that then enter；Otherwise, the S93 stages are returned to.
6) the S95 stages of output data；In this stage, system exports the related status information of part to be tested.
As shown in fig. 6, in the S7 stages, the control method of described fault diagnosis includes the following step for carrying out in order
Suddenly：
1) the system whether normal S11 stages are judged；In this stage, carry out each functional module first to system and its connect
The related self-inspection of mouth, then judges whether system is normal according to self-detection result, if it is judged that be "Yes", then into S12 ranks
Section；Otherwise, the S21 stages of abnormality processing are jumped to, to carry out corresponding abnormality processing；
2) the S12 stages of fault message are selected；In this stage, system will read the phase that user is selected by troubleshooting interface
The phenomenon of the failure information of pass, then into the S13 stages；
3) judge to diagnose the S13 stages whether decision-making starts；In this stage, system will determine that whether user clicks on troubleshooting
" confirming to select " button on interface, if it is judged that be "Yes", then into the S14 stages；Otherwise, the S22 stages are jumped to
Porch, continues to be waited for after time delay；
4) analysis module obtains the S14 stages of data；In this stage using fault tree analysiss module pair and selected event
The related fault tree data of barrier phenomenon are obtained, and are set up and visualized to obtain fault tree, subsequently into the S15 stages；
5) carry out qualitative and quantitative analyses to fault tree data to obtain causing the failure of current failure phenomenon former
Because of the S15 stages of cut set；In this stage, cut set can require to be ranked up and export Decision Inference mould according to the different of user
Block, subsequently into the S16 stages；
6) the reasoning process visual S16 stages under man-machine interaction；In this stage, user will be obtained with the S15 stages
Cut set be, with reference to giving reasoning starting point, the reasoning of process visualization to be carried out, subsequently into the S17 stages；
7) the S17 stages that 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. diagnosis completes then to enter the S18 stages；Otherwise, the porch in S16 stages is jumped to, after
The continuous reasoning carried out under man-machine interaction；
8) diagnosis is completed, and generates the S18 stages of diagnosis report；In this stage, system will explain mould according to expertise
Block generates diagnosis report, subsequently into the S19 stages；
9) diagnosis whether successful S19 stages are judged；In this stage system according to diagnosis report judge diagnosis whether into
Work(, if it is judged that being "Yes", then into the S23 stages, logs off；Otherwise, the porch in S20 stages is jumped to；
10) the S20 stages for being continuing with the system are judged whether；In this stage, system will determine that whether user clicks on
" being continuing with " button, if it is judged that being "Yes", then jumps to the porch in S24 stages；Otherwise, S23 ranks are entered into
The porch of section, exits the system；
11) the S24 stages of original system setting are gone back；In this stage system reverts to some variables, tables of data etc. initially
State, returns to the porch in S11 stages, is continuing with the system.
In above-described each concrete operations stage, arbitrary link is beset by technical hitches or system problem, then system
Alarm can be sent, points out custom system to restart closing, and remind staff to make respective handling in time.
The aircraft maintenance virtual training system and method that the present invention is provided is applied not only to carry out regular maintenance to flight crew
With the training fixed a breakdown, 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 with practice operation
Ideal tools.
Description of the drawings
Aircraft maintenance virtual training system (VMTS) pie graph that Fig. 1 is provided for the present invention.
The design principle figure of the virtual instrument arrived used in the maintenance virtual process that Fig. 2 is provided for the present invention.
The aircraft maintenance virtual training method flow diagram that Fig. 3 is provided for the present invention.
Fault location flow chart in the aircraft maintenance virtual training method that Fig. 4 is provided for the present invention.
Virtual instrument test flow chart in the aircraft maintenance virtual training method that Fig. 5 is provided for the present invention.
Troubleshooting Flowchart in the aircraft maintenance virtual training method that Fig. 6 is provided for the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings the aircraft maintenance virtual training system and method that the present invention is provided is carried out with specific embodiment
Describe in detail.
As shown in figure 1, the aircraft maintenance virtual training system that the present invention is provided learns including aircraft cognition module 1, principle
Maintenance module 3 before module 2, boat, virtual instrument module 4, virtual dismounting 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 dismounting module 5 is the dimension of the system
Repair virtual core, its pass through 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 data interaction to complete maintenance jointly
The generation of the failure in virtual process, test, diagnose 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 maintenance module 3 before boat, are realized to the people
The study of boat aircraft correlation maintenance theories knowledge.
Described aircraft cognition module 1 includes structure cognition, system cognizant, the cognition of virtual driving cabin instrument, aid
Cognitive four big functions, for realizing the study of aircarrier aircraft maintenance and relevant speciality student to aircaft configuration aspect knowledge.
Described principle study module 2 is used to realize that aircarrier aircraft is keeped in repair and relevant speciality student is to aircraft each side work
Make the study of principle knowledge.
The a series of activities that maintenance module 3 is safeguarded before being used to be navigated in simulated implementation locomotive work before described boat：It is right
Each erect-position of aircraft, position according to work card order and instrument etc. requirement simulation realize.
Described virtual instrument module 4 is used for the running status of analog information current aircraft, i.e., system is according to virtual instrument
Whether judge airplane fault.
Described virtual dismounting module 5 is used to realize virtual dismounting and change new parts, realizes including right in operation
A series of functions of the matching of maintenance tool and the inspection of maintenance step etc..
Described fault diagnosis module 6 is used to carry out failure according to the sign of fault virtual instrument in maintenance virtual process
Diagnosis draws failure cause, formulates for maintenance program and provides foundation.
Described help document module 7 is used to be provided in the form of pdf documents in maintenance virtual process includes maintenance step
The rapid reference information for waiting.
Self described evaluation module 8 is used for the operating process virtual to this maintenance and is scored and for this maintenance
Virtual operation provides examination suggestion, and the formulation for next maintenance program provides reference.
Described virtual instrument test module 9 is used for the detection of Design of Virtual Instrument and realization to part, first this work(
Energy module devises a set of virtual instrument development platform, and 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 at the data analysiss to tested object
Manage, data storage, as a result the function such as display.Then when being detected using virtual instrument, application program can read system number
According to the information of the storehouse node, the analysis returned data such as contrasted, calculated by its data analysis module, while reflection is to virtual
On the panel of instrument, fault diagnosis module can make inferences according to corresponding data.
Described 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 allowd to have what is be directed to be trained.
The aircraft maintenance virtual training system that the present invention is provided has the study to aircarrier aircraft correlation maintenance theories knowledge
And the virtual two big function class of maintenance.Maintenance virtually has an initialized malfunction, and certain user also can generate in failure
Module 10 carries out failure generation, may be selected to generate specific failure or selects to generate failure, thus, the current work of aircraft at random
Make situation for a certain malfunction.Then, user starts formally to carry out maintenance virtual training：First, user is via virtual instrument
The dynamic monitoring aircraft ruuning situation of module 4, by the data of instrument the fault type of aircraft is judged.Then, user uses virtual
Instrument test module 9 obtains the current operation information of part and carries out fault diagnosis and reference Help text via fault diagnosis module 6
Shelves module 7 generates maintenance program.Finally, user comes with reference to the maintenance program for generating into virtual dismounting module 5, renewal part etc.
Whether carried out the exclusion of failure and by the monitoring of virtual instrument come failure judgement excluded, if failure is not excluded if being keeped in repair
Then repeat said process.Often completing Single Maintenance virtual process user can be using self evaluation module 8 come this dimension to oneself
Repair virtual training to be scored.
Before boat in the stage of maintenance module 3, user can be to each erect-position of aircraft, position according to work card order and work
The demand of the grade of tool is progressively checked and safeguarded.In the process user can pass through aircraft cognition module 1, principle study module
2 carrying out the corresponding principle knowledge study of each position, and is safeguarded by keeping in repair virtual process.
Fig. 2 is the design principle figure for keeping in repair the virtual instrument arrived used in virtual process, from key element setting to instrument finished product
Meter process is broadly divided into four parts, is divided into unit element library, functional module, " instrument demand " and eventually forms complete product.
, used as unit element library, each functional module is that three parts are constituted by more than for function library, component library and auxiliary resources storehouse.
Function be defined in element and other resources on action, function library not only comprising conventional function, will also include each
The function of the different instruments of adaptation in field.Component library includes the various virtual instruments for existing in a software form and control element.It is empty
Intending instrument includes hundreds of instrument such as oscillograph, PH phasemeter, scanner, voltmeter；Control element includes that range switch, wave band are selected
Select switch, knob etc..Auxiliary resources includes that the resource such as audio alarm, display lamp that strengthen virtual effect such as show at the generic resource.
Each functional module is recombinated, assembled by user with unit element library according to the logical relation or technical requirements being actually needed,
And connected accordingly, debugged, it is integrated into the complete finished product virtual instrument of One function.
The aircraft maintenance virtual training method that the present invention is provided is to implement on described aircraft maintenance virtual system, is such as schemed
Shown in 3, this method includes the following steps for carrying out in order：
Step 1) failure generate the S1 stages；In this stage, system has an initialized malfunction, and user also may be used
Select to generate specific failure in failure generation module 10 or generate failure at random, subsequently into the S2 stages；
Step 2) the virtual instrument monitoring aircraft S2 stages whether working properly；In this stage, user is via Virtual instrument
The dynamic monitoring aircraft ruuning situation of table module 4, enters the S3 stages if failure；Otherwise current aircraft operation conditions is good, enters
Enter the S5 stages.
Step 3) fault location the S3 stages；In this stage, user adopts virtual for the phenomenon of the failure of virtual instrument
The mode that instrument test is combined with inference machine carries out fault diagnosis, maintenance program is generated with reference to service document, subsequently into S4 ranks
Section.
Step 4) virtual dismounting and change part carries out keeping in repair the virtual S4 stages；In this stage, user is according to maintenance side
Case carries out machine ＆ equipment etc. and carries out the exclusion of failure, subsequently into the S2 stages.
Step 5) S5 stages for logging off are asked whether, in the state of current aircraft operational excellence, inquiry user is
It is no to exit maintenance virtual system, click on the porch that "No" then returns to the S1 stages；Otherwise, log off.
As shown in figure 4, in the S3 stages, the control method of described fault location includes the following step for carrying out in order
Suddenly：
Step 1) virtual instrument test the S6 stages；In this stage, user's reference Help document is from suitable virtual
Instrument is tested the part of possible causing trouble, subsequently into the S7 stages.
Step 2) fault diagnosis the S7 stages；In this stage, inside the data run that inference machine was obtained according to the S6 stages
Inference mechanism provides diagnostic result, then into the S8 stages；
Step 3) generate diagnosis scheme the S8 stages；In this stage, system generates maintenance program, is fault diagnosis i.e. S7
A result after the completion of stage, that is, realize fault location.
As shown in figure 5, in the S6 stages, the control method of described virtual instrument test is following including what is carried out in order
Step：
1) the S90 stages of UUT are selected；In this stage, user selectes UUT first in virtual environment,
Subsequently into the S91 stages.
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, data storage, the work(such as a result shows
Energy.Whole process is as shown in Figure 1.The solution of Second Problem is that, when virtual instrument is detected, application program can read and be
The information of the system data base node, the analysis returned data such as is contrasted, is calculated, while reflection is to void by data analysis module
Intend on the panel of instrument, according to corresponding data, making inferences.
2) the S91 stages of virtual instrument are selected；In this stage, user selectes the Virtual instrument carried out needed for virtual detection
Device, subsequently into the S92 stages.
3) the S92 stages that whether judgement part matches with instrument；In this stage, system judges that the instrument selected by user is
It is no with survey parts match, be then into the S93 stages, otherwise to return to S91；
4) the S93 stages of instrument and component port are connected；In this stage, user connects instrument with part by setting-out
The mode of port carries out virtual link, subsequently into the S94 stages.
5) the S94 stages whether port matches are judged；In this stage, system judge port that user selects whether with work as
Front test matching, is the S95 stages that then enter；Otherwise, the S93 stages are returned to.
6) the S95 stages of output data；In this stage, system exports the related status information of part to be tested.
As shown in fig. 6, in the S7 stages, the control method of described fault diagnosis includes the following step for carrying out in order
Suddenly：
1) the system whether normal S11 stages are judged；In this stage, carry out each functional module first to system and its connect
The related self-inspection of mouth, then judges whether system is normal according to self-detection result, if it is judged that be "Yes", then into S12 ranks
Section；Otherwise, the S21 stages of abnormality processing are jumped to, to carry out corresponding abnormality processing；
2) the S12 stages of fault message are selected；In this stage, system will read the phase that user is selected by troubleshooting interface
The phenomenon of the failure information of pass, then into the S13 stages；
3) judge to diagnose the S13 stages whether decision-making starts；In this stage, system will determine that whether user clicks on troubleshooting
" confirming to select " button on interface, if it is judged that be "Yes", then into the S14 stages；Otherwise, the S22 stages are jumped to
Porch, continues to be waited for after time delay；
4) analysis module obtains the S14 stages of data；In this stage using fault tree analysiss module pair and selected event
The related fault tree data of barrier phenomenon are obtained, and are set up and visualized to obtain fault tree, subsequently into the S15 stages；
5) carry out qualitative and quantitative analyses to fault tree data to obtain causing the failure of current failure phenomenon former
Because of the S15 stages of cut set；In this stage, cut set can require to be ranked up and export Decision Inference mould according to the different of user
Block, subsequently into the S16 stages；
6) the reasoning process visual S16 stages under man-machine interaction；In this stage, user will be obtained with the S15 stages
Cut set be, with reference to giving reasoning starting point, the reasoning of process visualization to be carried out, subsequently into the S17 stages；
7) the S17 stages that 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. diagnosis completes then to enter the S18 stages；Otherwise, the porch in S16 stages is jumped to, after
The continuous reasoning carried out under man-machine interaction；
8) diagnosis is completed, and generates the S18 stages of diagnosis report；In this stage, system will explain mould according to expertise
Block generates diagnosis report, subsequently into the S19 stages；
9) diagnosis whether successful S19 stages are judged；In this stage system according to diagnosis report judge diagnosis whether into
Work(, if it is judged that being "Yes", then into the S23 stages, logs off；Otherwise, the porch in S20 stages is jumped to；
10) the S20 stages for being continuing with the system are judged whether；In this stage, system will determine that whether user clicks on
" being continuing with " button, if it is judged that being "Yes", then jumps to the porch in S24 stages；Otherwise, S23 ranks are entered into
The porch of section, exits the system；
11) the S24 stages of original system setting are gone back；In this stage system reverts to some variables, tables of data etc. initially
State, returns to the porch in S11 stages, is continuing with the system.
In above-described each concrete operations stage, arbitrary link is beset by technical hitches or system problem, then system
Alarm can be sent, points out custom system to restart closing, and remind staff to make respective handling in time.
Claims (5)
1. a kind of aircraft maintenance virtual training system, it is characterised in that：Described aircraft maintenance virtual training system includes aircraft
Maintenance module 3, virtual instrument module 4, virtual dismounting module 5, fault diagnosis mould before cognition module 1, principle study module 2, boat
Block 6, help document module 7, self evaluation module 8, virtual instrument test module 9, failure generation module 10；Wherein：Virtually tear open
Unload module 5 for the system the virtual core of maintenance, its pass through the corresponding interface respectively with virtual instrument module 4, fault diagnosis mould
Block 6, help document module 7, self evaluation module 8, virtual instrument test module 9, failure generation module 10 are connected, and realize number
Complete to keep in repair the generation of the failure in virtual process jointly, test, diagnose and exclude this series of maintenance void according to interacting
Plan process；Aircraft cognition module 1, principle study module 2 and above-mentioned maintenance virtual process are by the front dimension of the corresponding interface and boat
Shield module 3 is connected, and realizes the study to aircarrier aircraft correlation maintenance theories knowledge.
2. the training method of the aircraft maintenance virtual system described in a kind of utilization claim 1, it is characterised in that：Described training
Method includes the following steps for carrying out in order：
Step 1) failure generate the S1 stages；In this stage, system has an initialized malfunction, and user also can be in event
Barrier generation module 10 is selected to generate specific failure or generates failure at random, subsequently into the S2 stages；
Step 2) the virtual instrument monitoring aircraft S2 stages whether working properly；In this stage, user is via virtual instrument mould
The dynamic monitoring aircraft ruuning situation of block 4, enters the S3 stages if failure；Otherwise current aircraft operation conditions is good, into S5
Stage；
Step 3) fault location the S3 stages；In this stage, user adopts virtual instrument for the phenomenon of the failure of virtual instrument
The mode that test is combined with inference machine carries out fault diagnosis, maintenance program is generated with reference to service document, subsequently into the S4 stages；
Step 4) virtual dismounting and change part carries out keeping in repair the virtual S4 stages；In this stage, user enters according to maintenance program
Row machine ＆ equipment etc. carries out the exclusion of failure, subsequently into the S2 stages；
Step 5) ask whether S5 stages for logging off, in the state of current aircraft operational excellence, to ask the user whether to move back
Go out and keep in repair virtual system, click on the porch that "No" then returns to the S1 stages；Otherwise, log off.
3. the training method of aircraft maintenance virtual system according to claim 2, it is characterised in that：In the S3 stages, institute
The control method of the fault location stated includes the following steps for carrying out in order：
Step 1) virtual instrument test the S6 stages；In this stage, user's reference Help document selects suitable virtual instrument
The part of possible causing trouble is tested, subsequently into the S7 stages；
Step 2) fault diagnosis the S7 stages；In this stage, the data run internal reasoning that inference machine is obtained according to the S6 stages
Mechanism provides diagnostic result, then into the S8 stages；
Step 3) generate diagnosis scheme the S8 stages；In this stage, system generates maintenance program, is the fault diagnosis i.e. S7 stages
After the completion of a result, that is, realize fault location.
4. the training method of aircraft maintenance virtual system according to claim 2, it is characterised in that：In the S6 stages, institute
The control method of the virtual instrument test stated includes the following steps for carrying out in order：
1) the S90 stages of UUT are selected；In this stage, user selectes UUT first in virtual environment, then
Into the S91 stages；
2) the S91 stages of virtual instrument are selected；In this stage, user selectes the virtual instrument carried out needed for virtual detection, so
The S92 stages are entered afterwards；
3) the S92 stages that whether judgement part matches with instrument；In this stage, system judge instrument selected by user whether with
Surveyed parts match, is the S93 stages that then enter, and otherwise returns to S91；
4) the S93 stages of instrument and component port are connected；In this stage, user connects the port of instrument and part by setting-out
Mode carry out virtual link, subsequently into the S94 stages；
5) the S94 stages whether port matches are judged；In this stage, system judge port that user selects whether with it is current
Test matching, is the S95 stages that then enter；Otherwise, the S93 stages are returned to；
6) the S95 stages of output data；In this stage, system exports the related status information of part to be tested.
5. the training method of aircraft maintenance virtual system according to claim 2, it is characterised in that：In the S7 stages, institute
The control method of the fault diagnosis stated includes the following steps for carrying out in order：
1) the system whether normal S11 stages are judged；In this stage, each functional module and its interface are carried out first to system
Related self-inspection, then judges whether system is normal according to self-detection result, if it is judged that be "Yes", then into the S12 stages；It is no
Then, the S21 stages of abnormality processing are jumped to, to carry out corresponding abnormality processing；
2) the S12 stages of fault message are selected；In this stage, system by read user by troubleshooting interface select it is related
Phenomenon of the failure information, then into the S13 stages；
3) judge to diagnose the S13 stages whether decision-making starts；In this stage, system will determine that whether user clicks on troubleshooting interface
On " confirm select " button, if it is judged that be "Yes", then into the S14 stages；Otherwise, the entrance in S22 stages is jumped to
Place, continues to be waited for after time delay；
4) analysis module obtains the S14 stages of data；It is existing with selected failure using fault tree analysiss module pair in this stage
As related fault tree data are obtained, and set up and visualize to obtain fault tree, subsequently into the S15 stages；
5) carry out qualitative and quantitative analyses to fault tree data to obtain that the failure cause of current failure phenomenon may be caused to cut
The S15 stages of collection；In this stage, cut set can require to be ranked up and export Decision Inference module according to the different of user,
Subsequently into the S16 stages；
6) the reasoning process visual S16 stages under man-machine interaction；In this stage, user is by cutting for being obtained with the S15 stages
Collection is to refer to give reasoning starting point, the reasoning of process visualization is carried out, subsequently into the S17 stages；
7) the S17 stages that 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. diagnosis completes then to enter the S18 stages；Otherwise, jump to the porch in S16 stages, continue into
Reasoning under row man-machine interaction；
8) diagnosis is completed, and generates the S18 stages of diagnosis report；In this stage, system will give birth to according to expertise explanation module
Into diagnosis report, subsequently into the S19 stages；
9) diagnosis whether successful S19 stages are judged；In this stage system judges whether diagnosis is successful according to diagnosis report, such as
Fruit judged result is "Yes", then into the S23 stages, log off；Otherwise, the porch in S20 stages is jumped to；
10) the S20 stages for being continuing with the system are judged whether；In this stage, system will determine that whether user clicks " after
It is continuous to use " button, if it is judged that being "Yes", then jump to the porch in S24 stages；Otherwise, entering for S23 stages is entered into
At mouthful, the system is exited；
11) the S24 stages of original system setting are gone back；In this stage some variables, tables of data etc. are reverted to original state by system,
The porch in S11 stages is returned to, the system is continuing with.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108267969A (en) * | 2017-12-14 | 2018-07-10 | 广州民航职业技术学院 | A kind of aircraft composition system maintenance real training monitoring system and its implementation |
| CN109270851A (en) * | 2018-08-17 | 2019-01-25 | 北京航空航天大学 | The design method of human-computer interaction Dynamic fault tree cognition overload fault logic gate |
| CN109446718A (en) * | 2018-11-15 | 2019-03-08 | 紫光测控有限公司 | A kind of visual development method and system of protective device and control device |
| CN110502868A (en) * | 2019-09-06 | 2019-11-26 | 中国人民解放军火箭军工程大学 | A kind of method for building up of the multi-level Virtual maintenance of nuclear of complex equipment vehicle |
| CN110764615A (en) * | 2019-10-17 | 2020-02-07 | 辽宁中航信诺科技有限公司 | Checking and maintaining method of 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 |
| CN113706955A (en) * | 2021-08-18 | 2021-11-26 | 凌云(宜昌)航空装备工程有限公司 | Aviation maintenance skill simulation training system |
| CN114115192A (en) * | 2021-11-23 | 2022-03-01 | 中国航空工业集团公司洛阳电光设备研究所 | Base level intelligent guarantee auxiliary system for airborne equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007109507A2 (en) * | 2006-03-17 | 2007-09-27 | Commercial Level Simulations, Ltd. | Pc-based simulator training system and methods |
| CN101281691A (en) * | 2008-01-04 | 2008-10-08 | 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 |
| CN103823939A (en) * | 2014-03-07 | 2014-05-28 | 北京航空航天大学 | Virtual maintenance-based quantitative evaluation method for maintenance safety qualitative factors |
| CN104573230A (en) * | 2015-01-06 | 2015-04-29 | 北京卫星环境工程研究所 | Virtual human work task simulation analyzing system and method for spacecraft repair |
| CN104916182A (en) * | 2015-05-27 | 2015-09-16 | 北京宇航系统工程研究所 | Immersion type virtual reality maintenance and training simulation system |
| CN105913754A (en) * | 2016-06-21 | 2016-08-31 | 中国民航大学 | Circuit-level virtual maintenance teaching platform for aviation airborne electronic equipment |
-
2016
- 2016-10-21 CN CN201610918228.8A patent/CN106652721B/en not_active Expired - Fee Related
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007109507A2 (en) * | 2006-03-17 | 2007-09-27 | Commercial Level Simulations, Ltd. | Pc-based simulator training system and methods |
| CN101281691A (en) * | 2008-01-04 | 2008-10-08 | 中国人民解放军空军第一航空学院 | Control apparatus for airplane synthetic guarantee simulated training system |
| 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 |
| CN103823939A (en) * | 2014-03-07 | 2014-05-28 | 北京航空航天大学 | Virtual maintenance-based quantitative evaluation method for maintenance safety qualitative factors |
| CN104573230A (en) * | 2015-01-06 | 2015-04-29 | 北京卫星环境工程研究所 | Virtual human work task simulation analyzing system and method for spacecraft repair |
| CN104916182A (en) * | 2015-05-27 | 2015-09-16 | 北京宇航系统工程研究所 | Immersion type virtual reality maintenance and training simulation system |
| CN105913754A (en) * | 2016-06-21 | 2016-08-31 | 中国民航大学 | Circuit-level virtual maintenance teaching platform for aviation airborne electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| 史永胜: "《基于虚拟测试仪器的诊断技术及在VMTS中应用》", 《计算机测量与控制》 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108267969A (en) * | 2017-12-14 | 2018-07-10 | 广州民航职业技术学院 | A kind of aircraft composition system maintenance real training monitoring system and its implementation |
| 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 |
| CN109270851A (en) * | 2018-08-17 | 2019-01-25 | 北京航空航天大学 | The design method of human-computer interaction Dynamic fault tree cognition overload fault logic gate |
| CN109446718A (en) * | 2018-11-15 | 2019-03-08 | 紫光测控有限公司 | A kind of visual development method and system of protective device and control device |
| 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 |
| CN110502868A (en) * | 2019-09-06 | 2019-11-26 | 中国人民解放军火箭军工程大学 | A kind of method for building up of the multi-level Virtual maintenance of nuclear of complex equipment vehicle |
| CN110764615A (en) * | 2019-10-17 | 2020-02-07 | 辽宁中航信诺科技有限公司 | Checking and maintaining method of aircraft landing gear retraction system based on AR equipment |
| 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 |
| CN113706955A (en) * | 2021-08-18 | 2021-11-26 | 凌云(宜昌)航空装备工程有限公司 | Aviation maintenance skill simulation 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 |
| CN114115192A (en) * | 2021-11-23 | 2022-03-01 | 中国航空工业集团公司洛阳电光设备研究所 | Base level intelligent guarantee auxiliary system for airborne equipment |
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