CN110033110A - The simulation learning system and method for unmanned plane operation study - Google Patents

The simulation learning system and method for unmanned plane operation study Download PDF

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CN110033110A
CN110033110A CN201910318329.5A CN201910318329A CN110033110A CN 110033110 A CN110033110 A CN 110033110A CN 201910318329 A CN201910318329 A CN 201910318329A CN 110033110 A CN110033110 A CN 110033110A
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data
simulated operation
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simulation
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江亮亮
邹凯
张毅诚
蒋和杰
孙俊田
王增文
纪任鑫
郑林林
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Chengdu Wei Lai Interspace Technology Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
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    • G09B9/00Simulators for teaching or training purposes
    • G09B9/02Simulators for teaching or training purposes for teaching control of vehicles or other craft
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Abstract

The present invention relates to unmanned planes to operate learning areas, for in the related technology, unmanned plane simulated operation learns inefficient, the problem of learning quality also cannot be guaranteed, provide a kind of simulation learning system and method for unmanned plane operation study, this method comprises: receiving the reservation data of first terminal, and it is sent to second terminal;The reservation feedback data of second terminal is received, and is sent to first terminal;Simulated operation mode is shown to first terminal;The mode selection data for receiving first terminal, into corresponding simulated operation mode;Acquire the simulated operation data of first terminal;Simulated operation data are compared with normal data, obtain analog result;Analog result is sent to second terminal;The feedback data for receiving second terminal sends feedback data to first terminal.The system includes student customer side, second terminal and server.The learning efficiency and learning quality of student's simulated operation can be improved in the present invention.

Description

The simulation learning system and method for unmanned plane operation study
Technical field
The present invention relates to unmanned plane operation learning areas more particularly to a kind of simulation learning systems of unmanned plane operation study And method.
Background technique
The training of unmanned plane is the training of an architecture, since the difficulty of practical operation is larger, is carrying out unmanned plane Before operation training, the theory study and simulated operation study of unmanned plane operation can be first carried out.
Currently, the relevant technologies of the simulated operation of unmanned plane, mainly student oneself carry out simulated operation on the client, Its process is similar to " single-play game ", and by the simulated operation of client, student will be seen that the feeling of operation unmanned plane, is familiar with The part operation skill of unmanned plane.
This mode of learning leans on the summary of student oneself entirely and gropes, and when operational issue occurs in student, needs to spend big The time is measured come the reason of understanding problem and solution, also, due to student before carrying out simulated operation mostly all into It went theory study, and there is also and take a significant amount of time the case where not finding solution but.
Current unmanned plane simulated operation learns inefficient, and learning quality also cannot be guaranteed.
Summary of the invention
The present invention is in the related technology, and unmanned plane simulated operation learns inefficient, and learning quality cannot also be protected The problem of card, provides a kind of simulation learning method of unmanned plane operation study.
Base case provided by the invention are as follows:
The simulation learning method of unmanned plane operation study, comprising:
Acquire the simulated operation data of first terminal;
The simulated operation data are compared with normal data, obtain the analog result of first terminal;
The analog result is sent to second terminal;
The feedback data to analog result of second terminal is received, the feedback data includes the guidance to analog result, The feedback data is sent to first terminal.
Explanation of nouns: normal data, that is, the data generated when doing the simulated operation of standard;Analog result, that is, simulation behaviour Make the result of correctness.
Base case working principle and beneficial effect:
After the simulated operation data for collecting first terminal, simulated operation data are compared with normal data, are obtained The analog result of first terminal simulated operation, and analog result is sent to second terminal;Receive again second terminal to simulation As a result after feedback data, the feedback data of second terminal is sent to first terminal, feedback data includes the finger to analog result It leads, the problem of first terminal can understand oneself simulated operation in time goes forward side by side correction.
By such method, when first terminal carries out simulated operation every time, supervising for second terminal refers to profession It leads.First terminal can understand in time which shortage oneself has in simulated operation, and learning efficiency is higher;It can also be by second eventually The specialized guidance feedback at end improves, and guarantees the learning quality of simulated operation.
It optionally, further include receiving the reservation data of first terminal, and be sent to second terminal;
The reservation feedback data of second terminal is received, and is sent to first terminal.
The utility model has the advantages that by such method, first terminal can be allowed to carry out second terminal reservation.Each second terminal There is the field that oneself is good at, while the style of each second terminal, there is also difference, first terminal, which can be reserved, is suitble to oneself Second terminal carries out simulated operation guidance;Whether second terminal can also be according to oneself arrangement of time, with regard to agreeing to first eventually The reserve requests at end are fed back.
Optionally, after the simulated operation data and normal data being compared, in addition standard corrects data, mould is obtained Quasi- result;The standard corrects data, is modified to obtain to the normal data by current environmental data;The environment number According to including wind speed and wind direction.
The utility model has the advantages that live environment is different in the practical operation of unmanned plane, and when such as live wind direction, wind speed difference, nothing Man-machine operation has difference.This programme carries out normal data with current environment data by acquisition current environment data Amendment obtains standard amendment data, in addition the analog result after standard amendment data, it can be more close to nobody under true environment Machine practice result.
Optionally, the analog result is the analog result of numeralization, including the simulated operation data and the standard The specific value of data is poor.
The utility model has the advantages that compared with " operation is correct ", " operating mistake " this pure analog result judged mistake, numeralization Analog result, can get information about the difference between the operation of first terminal and standard operation, such as turn slow 2 seconds, turning It is 30 degree etc. more, convenient for understanding the particular problem of student's simulated operation, it is also convenient for coach and is carried out in such a way that student is readily comprehensible Guidance.
It optionally, further include showing simulated operation mode to first terminal, and show to first terminal to first terminal and send out It sends to be elected and selects the instruction of simulated operation mode;
The mode selection data for receiving first terminal, into corresponding simulated operation mode.
The utility model has the advantages that by such method, oneself suitable simulated operation mode of first terminal selection can be allowed to carry out Practice.
Optionally, simulated operation mode is shown to first terminal, and send selection simulated operation mode to first terminal Instruction, comprising:
When showing simulated operation mode to first terminal, if not receiving the reservation data of first terminal also, to the Request data is instructed in the transmission of two terminals.
The utility model has the advantages that not receiving the reservation data of first terminal, illustrating first terminal, there is no carry out second terminal Reservation, at this point, can be able to be it for the first terminal matching that do not reserved by instructing request data to second terminal transmission The second terminal of guidance is provided, guarantees that the simulated operation each time of first terminal has a guidance of second terminal, and then guarantees the The simulated operation learning quality of one terminal.
Optionally, when showing simulated operation mode to first terminal, the simulated operation mode of displaying includes daily simulation mould Formula, specialized training mode and mock examination mode, daily mode are conventional learning simulation, and specialized training mode is a certain simulation The intensive training of operation, mock examination mode are simulated to the examination of simulated operation.
The utility model has the advantages that such method, first terminal can select to carry out according to oneself current study schedule and state Daily simulation learning, specialized training or mock examination practice, the content for learning simulated operation are more bonded the state of oneself, mention The learning effect of high simulated operation.
For above-mentioned learning method, the present invention also provides a kind of simulation learning system of unmanned plane operation study, including the One terminal, second terminal and server;
First terminal includes:
Simulated operation module carries out unmanned plane simulated operation for student;
Mode selection module, for selecting mock examination mode, specialized training mode or daily simulation model to be simulated Operation, for mock examination mode for carrying out practical operation examination simulation, specialized training mode, which is used to operate special project, carries out specific aim mould Quasi- training, daily simulation model are used to carry out daily conventional simulation practice;
Progress display module, for showing student's currently completed practical operation practice and also unfinished practical operation practice;
Second terminal includes:
Module is watched, for watching the simulated operation of first terminal;
Module is instructed, for sending guiding opinion to first terminal;
Scoring modules carry out comprehensive marking to the operation of student after having watched the simulated operation of first terminal;
Server includes:
Memory module is also used to store the normal data of simulated operation for storing the courseware content of simulated operation;
Judgment module, for receiving the simulated operation data of first terminal, by the simulated operation data received and storage Normal data in module compares, and generates analog result, and analog result is sent to the viewing module of second terminal;
Matching module is matched to first terminal and is referred to for it for matching to second terminal and first terminal The second terminal led.
The utility model has the advantages that
Student can understand oneself practical operation practice also unfinished at present on the progress display module of first terminal, rationally pacify Arrange the study plan of oneself.Since the study situation of each student is often different, student in combination with oneself practice conditions, Daily simulation model, specialized training mode or mock examination mode is selected to carry out simulated operation practice.
For student when carrying out simulated operation on first terminal, the operation data of simulation is sent to server by first terminal Operation data compared with standard data, is generated analog result, and analog result is sent to second by judgment module, judgment module The viewing module of terminal.Coach can watch the analog result of student in second terminal, after when find student the problem of, Jiao Lianke Suggested with being fed back with second terminal to first terminal.In this way, thering is coach to superintend and direct it when student carries out simulated operation every time It urges to become reconciled specialized guidance.By the comprehensive marking of second terminal, which kind of level the operation that student can also understand oneself is in.Even if The consciousness of student is poor, is also able to know which shortage oneself has in simulated operation, also, passes through the specialized guidance of coach Feedback, can improve aiming at the problem that oneself, guarantee the learning quality of simulated operation.
Optionally, first terminal further includes evaluation module, and evaluation module is for evaluating second terminal.
The utility model has the advantages that first terminal can evaluate second terminal by evaluation module, in such a way, one can When preventing coach directed not diligently, two are quickly understood to be convenient for other students to train guidance.
Optionally, first terminal further includes reservation module, and reservation module is for carrying out coach's reservation;Second terminal further includes Responder module, responder module is for feeding back the reserve requests of first terminal.
The utility model has the advantages that student can reserve in first terminal is suitble to the guidance of oneself to train, Jiao Lian by reservation module After second terminal receives reserve requests, reservation feedback is carried out on responder module in combination with the arrangement of time of oneself.
Detailed description of the invention
Fig. 1 is the flow chart of the simulation learning embodiment of the method one of unmanned plane of the present invention operation study;
Fig. 2 is the logic diagram of the simulation learning system embodiment one of unmanned plane of the present invention operation study;
Fig. 3 is the logic diagram of the simulation learning system embodiment two of unmanned plane of the present invention operation study.
Specific embodiment
It is further described below by specific embodiment:
Embodiment one
First terminal in the present embodiment is student end, and second terminal is coach end.
As shown in Figure 1:
The simulation learning method of unmanned plane operation study, comprising:
The coach end reservation data at student end is received, and is sent to corresponding coach end.Receive the reservation feedback at coach end Data, and it is sent to corresponding student end.In this way, allow the reservation of student end it is suitable oneself coach end to oneself into Row guidance;Whether train end then can be according to oneself timetable, to receiving the reserve requests at student end and feed back.
Simulated operation mode is shown to student end, and the instruction of selection simulated operation mode is sent to student end;It shows Simulated operation mode includes daily simulation model, specialized training mode and mock examination mode, and daily mode is conventional study Simulation, specialized training mode are the intensive training of a certain simulated operation, mock examination mode be then examination to simulated operation into Row simulation.By showing daily simulation model, specialized training mode and mock examination mode to student end, allow student end can root According to oneself current actual conditions, corresponding simulated operation mode is selected to be practiced.
When showing simulated operation mode to student end, if not receiving the coach end reservation data at student end also, to Idle coach end sends and instructs request data.In this manner it is ensured that having coach end when student end carries out simulated operation practice It is instructed, and then ensures the practice quality at student end.
The mode selection data for receiving student end, into corresponding simulated operation mode.
Current environmental data is acquired, environmental data includes wind speed and wind direction;According to environmental data to normal data (standard Data under the conditions of ignoring environmental factor, carry out the data generated when correct simulated operation) it is modified, obtain standard amendment Data.Due in practical operation, when environment difference, specific operation also has difference, e.g., with the wind and in the environment of contrary wind, The turn opportunity of the same corner can also have a certain difference.To make the simulated operation at student end more be bonded true behaviour Make, in conjunction with current environment, joined standard amendment data.
The simulated operation data at student end are acquired, e.g., on angle, the opportunity etc. of corner's turning.
After simulated operation data and standard amendment data are compared, in addition standard corrects data, student end is obtained Analog result, analog result are the analog result of numeralization, that is, simulated operation data and the specific value of normal data are poor, than Such as, when corner turns, the opportunitys having beaten 30 degree, having turned round 1.5 seconds fast more.
Analog result is sent Xiang coach end.
The feedback data to analog result at coach end is received, feedback data includes the guidance to analog result, such as, it is proposed that When turning round using object as object of reference, feedback data is sent to student end.According to the feedback data received, student end is not Only it will be seen that oneself which aspect is there are problem, can also targetedly be improved according to the guidance at coach end.
For above-mentioned learning method, the simulation learning system of unmanned plane operation study is additionally provided.
As shown in Fig. 2, the simulation learning system of unmanned plane operation study, including student end, coach end and server.Its In, student end passes through existing wireless network module with coach end and connect with server network.
In the present embodiment, student end is cell phone application, and coach end is cell phone application, and server is Tencent's cloud service, at other In embodiment, student end and coach end can be tablet computer or other mobile electronic equipments, and server may be Ali Cloud Server or other servers.
Student end includes simulated operation module, mode selection module, progress display module, evaluation module and reservation module.
Simulated operation module carries out unmanned plane simulated operation for student;Mode selection module is for selecting mock examination mould Formula, specialized training mode or daily simulation model carry out simulated operation, wherein mock examination mode is for carrying out practical operation examination mould Quasi-, specialized training mode, which is used to operate special project, carries out specific aim simulated training, and daily simulation model is used to carry out daily normal Rule do simulated exercises;Progress display module is used to show student's currently completed practical operation practice and also unfinished practical operation practice; Evaluation module is for evaluating coach;Reservation module is used to carry out coach's reservation of simulation practical operation.
Coach end includes viewing module, instructs module, scoring modules and responder module.
Watch the simulated operation that module is used to watch student end by server;Instruct module for by server to Member end sends guiding opinion;Scoring modules are for carrying out synthesis to the operation of student and beating after having watched the simulated operation at student end Point;Responder module is for feeding back the reserve requests at student end.
Server includes memory module, matching module and judgment module.
Memory module is used to store the courseware content of simulated operation, is also used to store the normal data of simulated operation;Matching Module is used to match coach end and student end, and the student end that do not reserved is made to be matched to the coach instructed for it End;Judgment module is used to receive the simulated operation data at student end, will be in the simulated operation data that received and memory module Normal data compares, and generates analog result, and analog result is sent to coach end.
Student can be reserved by reservation module is suitble to the guidance of oneself to train, and coach combines the job placement of oneself, to pre- About request is fed back.After reserving successfully, student can carry out simulated operation practice in the coach that subscription time finds reservation.If Student does not reserve successfully or does not reserve, then matching module can mention before student carries out simulated operation practice for student's matching For the coach end of guidance.
Student is suitble to the mode of oneself according to oneself study schedule and demand, in mode selection module selection, as ginseng It examines, student can check oneself also unfinished practical operation practice in progress display module.Conventional learning simulation may be selected daily Mode is that specialized training mode may be selected in the intensive training of a certain simulated operation, and simulating to the examination of simulated operation can be with Select mock examination mode.
When student carries out simulated operation, the data of simulated operation are sent to judgment module by student end, and judgment module receives After the simulated operation data sent to student end, simulated operation data and the normal data in memory module are compared, it is raw Coach end is sent at analog result, and by analog result.The analog result in coach end viewing student is trained, finds student's It after problem, feeds back and suggests to student, guiding opinion is carried out to student.
After completing simulated operation practice, coach carries out overall merit to student, and student will be seen that the simulation behaviour of oneself Make in which kind of level, arranges subsequent simulated operation study convenient for student.Meanwhile student evaluates coach, is convenient for it His student has one quickly to understand coach.
Through the invention, student every time student end carry out simulated operation when, have coach end supervise and specialized guidance. It can know in time which shortage oneself has at simulated operation, also, by the specialized guidance feedback at coach end, student can It is improved aiming at the problem that oneself, guarantees the efficiency and quality of simulated operation study.
Embodiment two
Difference with embodiment one is, as shown in figure 3, student end further includes context detection module, context detection module For detecting environmental data when practical operation practice, environmental data includes wind direction information and wind speed information, context detection module The detection of wind speed information and wind direction information can be carried out with existing windage scale.
Server further includes correction module, the wind direction information and wind speed that correction module is used to be detected according to context detection module Information obtains standard correction value in conjunction with the normal data in memory module.
After judgment module compares the normal data in the simulated operation data received and memory module, in addition mark Quasi- correction value generates analog result.
When operating unmanned plane under true environment, under the different environment of wind speed, wind direction, the operation to unmanned plane is to exist Difference.Such as, with the wind and when wind speed is larger cross bend and it is calm under conditions of cross bend, excessively curved opportunity and angle can deposit In difference.After judgment module compares the normal data in the simulated operation data received and memory module, adding Standard correction value, the analog result of generation, the more operating result under fitting true environment.Student can preferably grasp very Operation under real environment.
By student turn do simulated exercises for, student practice carry out some angle turning when, can be required Specific region cannot be exceeded.Student is when operating, the speed at the controlled flight end that should be arrived according to the observation, and selection is suitable Opportunity inputs reasonable steering angle, to control the opportunity flight path at controlled flight end without departing from specific region.
The flight maximum speed of existing unmanned plane is in 10-20m/s or so, and in the actual operation process or student practices In the process, flying speed can be lower, is common weather, wind speed 3.4-10.7m/s when wind-force is 3-5 grades.Wind speed flies to controlled The control at row end plays very important effect.Therefore, in the present embodiment two, it is desirable to which student's study is more actual behaviour Make technical ability, rather than carry on the back firmly operating method (for example, three seconds horsepower standard-sized sheets, to after some point, keep turning to 90 ° of rudder two seconds when Between, then restore in one second).
The present embodiment two has carried out the principle of time bias to analog result, can simulate student by correction module The operating result of numeralization in the case where there is wind conditions.Specifically, the present embodiment two, student can be allowed in conjunction with wind speed, wind direction Understand the concrete operations under true environment.Student's more closing to reality situation is practiced, is more fully promoted and is learned Member's ability.
What has been described above is only an embodiment of the present invention, and the common sense such as well known specific structure and characteristic are not made herein in scheme Excessive description, technical field that the present invention belongs to is all before one skilled in the art know the applying date or priority date Ordinary technical knowledge can know the prior art all in the field, and have using routine experiment hand before the date The ability of section, one skilled in the art can improve and be implemented in conjunction with self-ability under the enlightenment that the application provides This programme, some typical known features or known method should not become one skilled in the art and implement the application Obstacle.It should be pointed out that for those skilled in the art, without departing from the structure of the invention, can also make Several modifications and improvements out, these also should be considered as protection scope of the present invention, these all will not influence the effect that the present invention is implemented Fruit and patent practicability.The scope of protection required by this application should be based on the content of the claims, the tool in specification The records such as body embodiment can be used for explaining the content of claim.

Claims (10)

1. the simulation learning method of unmanned plane operation study characterized by comprising
Acquire the simulated operation data of first terminal;
The simulated operation data are compared with normal data, obtain the analog result of first terminal;
The analog result is sent to second terminal;
The feedback data to analog result of second terminal is received, the feedback data includes the guidance to analog result, to the One terminal sends the feedback data.
2. the simulation learning method of unmanned plane operation study according to claim 1, it is characterised in that: further include receiving The reservation data of first terminal, and it is sent to second terminal;
The reservation feedback data of second terminal is received, and is sent to first terminal.
3. the simulation learning method of unmanned plane operation study according to claim 1, it is characterised in that: grasp the simulation Make data and after normal data compares, plus standard amendment data, obtains analog result;The standard corrects data, by Current environmental data is modified to obtain to the normal data;The environmental data includes wind speed and wind direction.
4. the simulation learning method of unmanned plane operation study according to claim 1, it is characterised in that: the analog result It is poor including the simulated operation data and the specific value of the normal data for the analog result of numeralization.
5. the simulation learning method of unmanned plane according to claim 2 operation study, it is characterised in that: further include, to the One terminal display simulated operation mode, and the instruction for selecting simulated operation mode is sent to first terminal;
The mode selection data for receiving first terminal, into corresponding simulated operation mode.
6. the simulation learning method of unmanned plane operation study according to claim 5, it is characterised in that: to first terminal exhibition Show simulated operation mode, and send the instruction of selection simulated operation mode to first terminal, comprising:
When showing simulated operation mode to first terminal, if not receiving the reservation data of first terminal also, eventually to second End sends and instructs request data.
7. the simulation learning method of unmanned plane operation study according to claim 5, it is characterised in that: to first terminal exhibition When showing simulated operation, the simulated operation mode of displaying includes daily simulation model, specialized training mode and mock examination mode, day Norm formula is conventional learning simulation, and specialized training mode is the intensive training of a certain simulated operation, and mock examination mode is then The examination of simulated operation is simulated.
8. the simulation learning system of unmanned plane operation study, which is characterized in that including first terminal, second terminal and server;
First terminal includes:
Simulated operation module carries out unmanned plane simulated operation for student;
Mode selection module, for selecting mock examination mode, specialized training mode or daily simulation model to carry out simulated operation, For mock examination mode for carrying out practical operation examination simulation, specialized training mode, which is used to operate special project, carries out specific aim simulation instruction Practice, daily simulation model is used to carry out daily conventional simulation practice;
Progress display module, for showing student's currently completed practical operation practice and also unfinished practical operation practice;
Second terminal includes:
Module is watched, for watching the simulated operation of first terminal;
Module is instructed, for sending guiding opinion to first terminal;
Scoring modules carry out comprehensive marking to the operation of student after having watched the simulated operation of first terminal;
Server includes:
Memory module is also used to store the normal data of simulated operation for storing the courseware content of simulated operation;
Judgment module, for receiving the simulated operation data of first terminal, the simulated operation data and memory module that will receive Interior normal data compares, and generates analog result, and analog result is sent to the viewing module of second terminal;
Matching module is matched to first terminal and is instructed for it for matching to second terminal and first terminal Second terminal.
9. the simulation learning system of unmanned plane operation study according to claim 8, it is characterised in that: first terminal also wraps Evaluation module is included, evaluation module is for evaluating second terminal.
10. the simulation learning system of unmanned plane operation study according to claim 8, it is characterised in that: first terminal is also Including reservation module, reservation module is for carrying out coach's reservation;Second terminal further includes responder module, and responder module is used for the The reserve requests of one terminal are fed back.
CN201910318329.5A 2019-04-19 2019-04-19 The simulation learning system and method for unmanned plane operation study Pending CN110033110A (en)

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CN111047945A (en) * 2020-01-15 2020-04-21 中仿智能科技(上海)股份有限公司 Flight training evaluation system of simulation aircraft
CN113177869A (en) * 2021-05-08 2021-07-27 中山艾福莱航空仿真科技有限公司 Maintenance simulator for simulation training based on Prepar3D
CN113228140A (en) * 2019-08-30 2021-08-06 乐天集团股份有限公司 Control simulation system and method for unmanned aerial vehicle
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