CN114333477A - Virtual simulation teaching training system based on AR technology - Google Patents

Virtual simulation teaching training system based on AR technology Download PDF

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CN114333477A
CN114333477A CN202111627515.0A CN202111627515A CN114333477A CN 114333477 A CN114333477 A CN 114333477A CN 202111627515 A CN202111627515 A CN 202111627515A CN 114333477 A CN114333477 A CN 114333477A
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黄颖
陈小舟
孙文慧
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Nanjing University of Finance and Economics
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Nanjing University of Finance and Economics
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Abstract

The invention discloses a virtual simulation teaching practical training system based on AR technology, which comprises a learning module, a simulation module and a simulation module, wherein the learning module is used for enabling a user to quickly know the operation method of the teaching practical training system and recording the learning condition of the user; and the AR data acquisition module is used for acquiring teaching tool parameters and evaluation preference and character parameters of evaluators in the actual teaching scene based on the actual teaching scene and the teaching result evaluation scene scanned by the AR scanning terminal and generating three-dimensional visual data from the teaching tool parameters. According to the invention, the learning module is arranged, the client-side submodule, the introduction submodule and the evaluation submodule are arranged and cooperate together, and the recommendation algorithm is utilized, so that the reminding according to the mastering condition of the user is successfully realized, the mastering operation process of the system by the user is accelerated, the system is simpler and easier to learn, and the teaching and practical training efficiency of the user through the system is greatly improved.

Description

Virtual simulation teaching training system based on AR technology
Technical Field
The invention relates to the technical field of virtual simulation, in particular to a virtual simulation teaching practical training system based on an AR technology.
Background
Augmented reality technology, AR for short, is a technology for calculating the position and angle of a camera image in real time and adding corresponding images, videos and 3D models, and aims to sleeve a virtual world on a screen in the real world and perform interaction.
In practical training teaching, due to the limitation of teaching resources such as a field and a teacher, the students can watch actual operation around the teacher, the students close to the teacher can see the technical key of the teacher under the condition that the students are more, the students arranged behind cannot see the technical key of the teacher, and the students often have dangerous conditions in the practical training teaching of the engineering department, and are easy to hurt the students who are just in contact with practical training and are not skilled in protection means, so that the use of the AR technology can effectively improve the practical training quality of teaching and improve the safety.
However, the current teaching and training system based on the AR technology is generally complex, is not beneficial to the mastering of teaching and training personnel and teaching and evaluating personnel, improves the use threshold, and can only be used in a certain teaching area by using a local area network.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a virtual simulation teaching training system based on an AR technology.
In order to achieve the purpose, the invention adopts the following technical scheme:
a virtual simulation teaching training system based on AR technology comprises:
the learning module is used for enabling a user to quickly know the operation method of the teaching training system and recording the learning condition of the user; the AR data acquisition module is used for acquiring teaching tool parameters and evaluation preference and character parameters of evaluators in the actual teaching scene based on the actual teaching scene and the teaching result evaluation scene scanned by the AR scanning terminal and generating three-dimensional visual data of the teaching tool parameters; the AI interactive module is used for training and correcting the system by a teaching evaluation user, the teaching practical training user takes the system as an object to carry out practical training, and the system gives evaluation and authentication; and the high-order interaction module is used for connecting the teaching practical training user with the teaching evaluation user, the teaching practical training user takes the teaching evaluation user as an object for practical training, and the teaching evaluation user gives evaluation and authentication and receives reward.
Preferably, the learning module comprises a client sub-module, an introduction sub-module, a passing evaluation sub-module and an intelligent recommendation sub-module; the client-side sub-module is used for distinguishing the user into a teaching training user and a teaching evaluation user, registering and logging in the user, and storing the operation progress in real time; the introduction submodule is used for introducing the basic use methods of all the modules of the system to a beginner and collecting the learning experience and evaluation of a user; the evaluation submodule is used for evaluating the learning condition of the user and collecting evaluation data of the user on the basic use method of the system; and the intelligent recommendation submodule is used for intelligently reminding the user of the subsequent operation steps according to the assessment data.
Preferably, the AI interaction module comprises a control submodule, a data input submodule, a training submodule, a display submodule, a voice submodule, a processing and storing submodule and a user side submodule; the control submodule is used for controlling the opening and closing of the AI interactive module; the data input submodule is used for inputting the three-dimensional visual data generated by the AR data acquisition module into the AI interactive module; the training submodule is used for teaching and evaluating a user to correct the three-dimensional visual data input into the AI interactive module; the display sub-module comprises: the model display unit is used for displaying model animations of three-dimensional visual data generated by scanning an actual teaching scene and a teaching result evaluation scene based on the AR data acquisition module; the voice submodule is used for carrying out real-time voice explanation when model animation in the model display unit in the display submodule is played; the processing and storing submodule is used for identifying the information parameters acquired by the AR data acquisition module, calling the same virtual three-dimensional model and converting the three-dimensional visual data into model animation as required; and the user side submodule is used for registering and logging in the teaching training user, establishing a personal account and storing the operation progress in real time.
Preferably, the high-order interaction module comprises a local login sub-module, an open login sub-module, an authority management sub-module, a practical training management sub-module, a resource management and recovery sub-module, an evaluation sub-module and a printing authentication module; the local area login submodule is used for connecting and logging in a small-range local area network; the open login submodule is used for connecting and logging in the Internet; the authority management submodule is used for authenticating the teaching evaluation user, grading the teaching evaluation user and unlocking the evaluation authority of the corresponding grade; the practical training management submodule is used for teaching the login and practical training of practical training users; the resource management and recovery submodule is used for managing and scheduling virtualized resources in the system and recovering idle resources in the system according to the received instruction; the evaluation sub-module is used for asking questions and evaluating the practical training of the teaching practical training user by the teaching evaluation user and giving an evaluation result; and the printing authentication module is used for timely printing the training result and the training evaluation by the teaching and training user and simultaneously adding an authentication chapter and a rating of the teaching and evaluation user.
Preferably, the AR scanning terminal includes AR glasses, the evaluation preference of the evaluator includes a knowledge mastery degree and a presence performance degree, and the personality parameters of the evaluator include repellency, positive anisotropy, negative anisotropy, and commonalities.
Preferably, the client sub-module further comprises a user terminal, and the user terminal comprises a PC terminal or a mobile phone terminal.
Preferably, the AI interaction module further comprises an AI evaluation submodule, and the AI evaluation submodule is used for automatically asking questions of the system and evaluating the practical training results of the teaching practical training user.
Preferably, the authority management sub-module divides teaching evaluation users into three levels, namely low level teaching evaluation users, middle level teaching evaluation users and high level teaching evaluation users, wherein the low level teaching evaluation users only have the authority of questioning, the middle level teaching evaluation users have the authority of questioning and evaluating, and the high level teaching evaluation users have the authority of questioning, evaluating and correcting systems.
Preferably, the AR data acquisition module includes the following operation steps: preprocessing two-dimensional data, namely generating three-dimensional data by selecting control points with the same name, converting the format, creating a control point file and carrying out affine transformation on the basis of a structure diagram of a DXF-format teaching tool; reconstructing a body, and processing a top graph, a structure graph and a bottom graph by using a 'drawing-up' algorithm program to obtain three-dimensional data of the whole teaching tool; and deleting the repeated common surfaces to form the three-dimensional topological data of the teaching tool.
Compared with the prior art, the invention has the beneficial effects that:
1. the learning module is arranged, the client-side submodule, the introduction submodule and the evaluation submodule are arranged and cooperate together, a recommendation algorithm is utilized, the fact that the user is reminded according to the mastering condition of the user is successfully achieved, the user can master the operation process of the system, the system is simpler and easier to learn, and the efficiency of teaching and practical training of the user through the system is greatly improved.
2. The setting of the AI interactive module successfully realizes that the teaching practical training personnel individuals use the system as an object to carry out teaching practical training through the setting and the common cooperation of the control submodule, the data input submodule, the training submodule and other submodules, and the questions and the evaluation of the system are obtained, thereby effectively helping the teaching practical training personnel to exercise themselves and greatly improving the self-learning ability of the teaching practical training personnel.
3. The setting of high-order interaction module, through the common cooperation of submodule pieces such as local login submodule piece, open login submodule piece, authority management submodule piece, very big improvement the application scene of this system, make this system not only can be used as classroom teaching, also can carry out teaching training personnel and teaching evaluation personnel's connection through the internet simultaneously, make teaching training not only limit and certain area, make teaching training personnel can carry out teaching training at any time, and obtain evaluation and authentication, teaching evaluation personnel can charge through asking and evaluating to training teaching personnel, obtain the income.
Drawings
Fig. 1 is a schematic structural diagram of a virtual simulation teaching training system based on AR technology according to the present invention;
FIG. 2 is a schematic structural diagram of the learning module shown in FIG. 1;
FIG. 3 is a flowchart illustrating operations of a teaching evaluation user in a high-order interaction module in a virtual simulation teaching training system based on AR technology according to the present invention;
FIG. 4 is a flowchart illustrating an operation of a teaching training user in a high-order interactive module in a virtual simulation teaching training system based on AR technology according to the present invention;
fig. 5 is a schematic structural diagram of an intelligent recommendation submodule in a learning module in a virtual simulation teaching training system based on AR technology provided in the present invention;
fig. 6 is a flowchart of an implementation of an AR data acquisition module in a virtual simulation teaching training system based on an AR technology according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1 and fig. 6, a virtual simulation teaching training system based on AR technology, where the system 1 includes a learning module 101 configured to enable a user to quickly know an operation method of the teaching training system and record a learning condition of the user, and an AR data acquisition module 102 configured to acquire teaching tool parameters in an actual teaching scene and evaluation preferences and personality parameters of evaluators based on an actual teaching scene and a teaching result evaluation scene scanned by an AR scanning terminal, and generate three-dimensional visual data from the teaching tool parameters, where supplementary explanation is required, the AR data acquisition module 102 includes the following operation steps: preprocessing two-dimensional data, namely generating three-dimensional data by selecting control points with the same name, converting the format, creating a control point file and carrying out affine transformation on the basis of a structure diagram of a DXF-format teaching tool; reconstructing a body, and processing a top graph, a structure graph and a bottom graph by using a 'drawing-up' algorithm program to obtain three-dimensional data of the whole teaching tool; the system comprises a learning module 101, an AR data acquisition module 102, an AI interaction module 103, a high-order interaction module 104 and a system, wherein repeated public surfaces are deleted to form three-dimensional topological data of a teaching tool, the AI interaction module 103 is used for training and correcting a system by a teaching evaluation user, the teaching training user takes the system as an object to perform training, the system gives evaluation and authentication, the high-order interaction module 104 is used for connecting the teaching training user with the teaching evaluation user, the teaching training user takes the teaching evaluation user as an object to perform training, the teaching evaluation user gives evaluation and authentication and receives reward, and the learning module 101, the AR data acquisition module 102, the AI interaction module 103 and the high-order interaction module 104 are all electrically connected with the system.
It should be noted that the AR scanning terminal includes AR glasses, the evaluation preference of the evaluator includes a knowledge mastering level and an on-site performance level, and the personality parameters of the evaluator include repulsion, positive anisotropy, negative anisotropy, and commonalities, where repulsion means that the evaluator dares to say that the positive anisotropy means that the evaluator brightens his own view first and then evaluates others, negative anisotropy means that the evaluator listens to others to say that the others then express his own view, and commonalities means that the evaluator does not like to show his own view and opinion in public places.
Referring to fig. 2 and 5, the learning module 101 includes a client-side submodule 2, an introduction submodule 201, a passing evaluation submodule 202, and an intelligent recommendation submodule 203, where the client-side submodule 2 is configured to distinguish a user into a teaching training user and a teaching evaluation user, register and log in, and store an operation progress in real time, where the log-in information includes: the system comprises a user ID, a terminal ID, a connection IP and a user group, wherein the user ID is an account number logged in by a current user, the terminal ID is an MAC address of the terminal and determines basic information of the user together with the connection IP address, when the user stops operating, the system actively starts a snapshot and stores the snapshot in the account number of the user, an introduction submodule 201 is used for introducing basic use methods of all modules of the system to a beginner and collecting learning experience and evaluation of the user, an evaluation submodule 202 is used for evaluating the learning condition of the user and collecting evaluation data of the basic use methods of the system by the user, an intelligent recommendation submodule 203 is used for intelligently reminding the system of the subsequent operation steps of the user according to the evaluation data, the client submodule further comprises a user terminal, and the user terminal comprises a PC terminal or a mobile phone terminal, meanwhile, the intelligent recommendation submodule comprises a ranking algorithm and a recommendation algorithm:
senior teaching evaluators can set the weight of each module of the system, and set the AR data acquisition module 102, the AI interaction module 103 and the higher order interaction module 104 as α, β and θ, respectively, where α + β + θ is 1;
the ranking algorithm respectively counts the score data of each module in the user assessment data to obtain the occupation ratios, namely rho, sigma and tau, wherein rho represents the score occupation ratio of the user in the AR data acquisition module 102, sigma represents the score occupation ratio of the user in the AI interaction module 103, and tau represents the score occupation ratio of the user in the high-order interaction module 104, and rho + sigma + tau is 1;
the proportion of the assessment score of the user to the total score is omega, and the reminding frequency of the user in the recommendation algorithm is gamma;
Figure BDA0003440334430000081
Figure BDA0003440334430000082
Figure BDA0003440334430000083
wherein the content of the first and second substances,
Figure BDA0003440334430000084
to recommend the frequency of reminders for the algorithm when the user uses the AR data acquisition module 102,
Figure BDA0003440334430000085
to recommend the frequency of reminders for the algorithm when the user uses the AI interaction module 103,
Figure BDA0003440334430000086
the frequency of reminding when the user uses the high-order interaction module 104 is the recommendation algorithm, and k is the duration of watching the reminding by the user, and the unit is second.
The learning module 101 is set through the client-side submodule 2, the introduction submodule 201, the evaluation submodule 202 and the intelligent recommendation submodule 203, and through cooperation of setting and cooperation, a recommendation algorithm is utilized, reminding according to the mastering conditions of a user is successfully achieved, the user is accelerated to master the operation process of the system, the system is simple and easy to learn, and the efficiency of teaching and practical training of the user through the system is greatly improved.
The AI interactive module 103 comprises a control submodule, a data input submodule, a training submodule, a display submodule, a voice submodule, a processing storage submodule and a user side submodule, wherein the control submodule is used for controlling the opening and closing of the AI interactive module 103, the data input submodule is used for inputting three-dimensional visual data generated by the AR data acquisition module into the AI interactive module 103, the training submodule is used for correcting the three-dimensional visual data input into the AI interactive module 103 by a teaching evaluation user, and the teaching evaluation user needs to be noticed, which is a senior teaching evaluation user, through the arrangement, the evaluation quality of the system to teaching training personnel is effectively improved, and the display submodule comprises: a UI operation unit for displaying a user operation interface, the model display unit is used for displaying model animation based on three-dimensional visual data generated by scanning an actual teaching scene and a teaching result evaluation scene by the AR data acquisition module 102, the voice submodule, is used for carrying out real-time voice description when playing the model animation in the model display unit in the display submodule, the processing and storing submodule, for identifying the information parameters acquired by the AR data acquisition module 102, and calling the same virtual three-dimensional model, used for converting the three-dimensional visual data into model animation according to the requirement, the user terminal module, is used for registering and logging in teaching training users, establishing a personal account, storing the operation progress in real time, the AI interaction module 103 further comprises an AI evaluation submodule, and the AI evaluation submodule is used for automatically asking questions of the system and evaluating the practical training results of teaching practical training users.
The setting of the AI interactive module 103 successfully realizes that the teaching and practical training personnel use the system as the object to carry out teaching and practical training through the setting and the common cooperation of the control sub-module, the data input sub-module, the training sub-module and other sub-modules, and obtains the question and the evaluation of the system, thereby effectively helping the teaching and practical training personnel to exercise themselves and greatly improving the self-learning ability of the teaching and practical training personnel.
Referring to fig. 3 and 4, the high-order interaction module 104 includes a local login sub-module, an open login sub-module, a right management sub-module, a training management sub-module, a resource management and recovery sub-module, an evaluation sub-module, and a printing authentication sub-module, the local login sub-module is used for connecting and logging in a small-area local area network, the open login sub-module is used for connecting and logging in the internet, the right management sub-module is used for authenticating a teaching evaluation user, rating the teaching evaluation user, and unlocking the evaluation right of the corresponding level, the training management sub-module is used for logging in and training the teaching evaluation user, the resource management and recovery sub-module is used for managing and scheduling virtualized resources in the system, and recovering idle resources in the system according to a received instruction, the evaluation sub-module is used for asking and evaluating the training of the teaching evaluation user on the teaching user, and giving an evaluation result, printing an authentication submodule for timely printing the training result and the training evaluation by the teaching and training user, and simultaneously adding an authentication seal and a rating of the teaching and evaluation user, wherein the authority management submodule divides the teaching and evaluation user into a low level, a medium level and a high level, the low level teaching and evaluation user only has the authority of questioning, the medium level teaching and evaluation user has the authority of questioning, evaluating and correcting the system, and the high level teaching and evaluation user has the authority of questioning, evaluating and correcting the system.
The high-order interaction module 104 is arranged, through the co-cooperation of sub-modules such as a local login sub-module, an open login sub-module and an authority management sub-module, the application scene of the system is greatly improved, the system can be used for classroom teaching, meanwhile, the connection between teaching training personnel and teaching evaluation personnel can be carried out through the Internet, the teaching training is limited to a certain area, the teaching training personnel can carry out teaching training at any time, the evaluation and the authentication are obtained, the teaching evaluation personnel can charge through questioning and evaluating the teaching training personnel, and earnings are obtained.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (9)

1. The utility model provides a real standard system of virtual simulation teaching based on AR technique which characterized in that includes:
the learning module is used for enabling a user to quickly know the operation method of the teaching training system and recording the learning condition of the user;
the AR data acquisition module is used for acquiring teaching tool parameters and evaluation preference and character parameters of evaluators in the actual teaching scene based on the actual teaching scene and the teaching result evaluation scene scanned by the AR scanning terminal and generating three-dimensional visual data of the teaching tool parameters;
the AI interactive module is used for training and correcting the system by a teaching evaluation user, the teaching practical training user takes the system as an object to carry out practical training, and the system gives evaluation and authentication;
the high-order interaction module is used for connecting a teaching training user and a teaching evaluation user, the teaching training user takes the teaching evaluation user as an object to carry out training, and the teaching evaluation user gives evaluation and authentication and receives reward;
the learning module, the AR data acquisition module, the AI interaction module and the high-order interaction module are electrically connected with the system.
2. The virtual simulation teaching training system based on the AR technology as claimed in claim 1, wherein the learning module comprises a client sub-module, an introduction sub-module, a passing evaluation sub-module and an intelligent recommendation sub-module;
the client-side sub-module is used for distinguishing the user into a teaching training user and a teaching evaluation user, registering and logging in the user, and storing the operation progress in real time;
the introduction submodule is used for introducing the basic use methods of all the modules of the system to a beginner and collecting the learning experience and evaluation of a user;
the evaluation submodule is used for evaluating the learning condition of the user and collecting evaluation data of the user on the basic use method of the system;
and the intelligent recommendation submodule is used for intelligently reminding the user of the subsequent operation steps according to the assessment data.
3. The virtual simulation teaching training system based on the AR technology as claimed in claim 1, wherein the AI interaction module comprises a control sub-module, a data input sub-module, a training sub-module, a display sub-module, a voice sub-module, a processing and storing sub-module, and a user side sub-module;
the control submodule is used for controlling the opening and closing of the AI interactive module;
the data input submodule is used for inputting the three-dimensional visual data generated by the AR data acquisition module into the AI interactive module;
the training submodule is used for teaching and evaluating a user to correct the three-dimensional visual data input into the AI interactive module;
the display sub-module comprises: the model display unit is used for displaying model animations of three-dimensional visual data generated by scanning an actual teaching scene and a teaching result evaluation scene based on the AR data acquisition module;
the voice submodule is used for carrying out real-time voice explanation when model animation in the model display unit in the display submodule is played;
the processing and storing submodule is used for identifying the information parameters acquired by the AR data acquisition module, calling the same virtual three-dimensional model and converting the three-dimensional visual data into model animation as required;
and the user side submodule is used for registering and logging in the teaching training user, establishing a personal account and storing the operation progress in real time.
4. The virtual simulation teaching practical training system based on the AR technology as claimed in claim 1, wherein the high-order interaction module comprises a local login sub-module, an open login sub-module, a right management sub-module, a practical training management sub-module, a resource management and recovery sub-module, an evaluation sub-module, and a printing authentication sub-module;
the local area login submodule is used for connecting and logging in a small-range local area network;
the open login submodule is used for connecting and logging in the Internet;
the authority management submodule is used for authenticating the teaching evaluation user, grading the teaching evaluation user and unlocking the evaluation authority of the corresponding grade;
the practical training management submodule is used for teaching the login and practical training of practical training users;
the resource management and recovery submodule is used for managing and scheduling virtualized resources in the system and recovering idle resources in the system according to the received instruction;
the evaluation sub-module is used for asking questions and evaluating the practical training of the teaching practical training user by the teaching evaluation user and giving an evaluation result;
and the printing authentication submodule is used for timely printing the training result and the training evaluation by the teaching training user and simultaneously adding an authentication chapter and a rating of the teaching evaluation user.
5. The virtual simulation teaching practical training system based on the AR technology as claimed in claim 1, wherein the AR scanning terminal comprises AR glasses, the evaluation preference of the evaluator comprises knowledge mastery degree and presence degree, and the personality parameters of the evaluator comprise repulsion, positive anisotropy, negative anisotropy and commonality.
6. The virtual simulation teaching practical training system based on the AR technology as claimed in claim 2, wherein the client sub-module further comprises a user terminal, and the user terminal comprises a PC terminal or a mobile phone terminal.
7. The virtual simulation teaching practical training system based on the AR technology as claimed in claim 3, wherein the AI interaction module further comprises an AI evaluation sub-module, and the AI evaluation sub-module is used for automatically asking questions of the system and evaluating practical training results of teaching practical training users.
8. The virtual simulation teaching practical training system based on the AR technology as claimed in claim 4, wherein the authority management sub-module divides teaching evaluation users into three levels of low, middle and high, the low-level teaching evaluation users only have the authority to ask questions, the middle-level teaching evaluation users only have the authority to ask questions and evaluate, and the high-level teaching evaluation users only have the authority to ask questions, evaluate and correct the system.
9. The virtual simulation teaching practical training system based on the AR technology as claimed in claim 1, wherein the AR data acquisition module comprises the following operation steps:
s1, preprocessing two-dimensional data, namely generating three-dimensional data by selecting control points with the same name, converting the format, creating a control point file and carrying out affine transformation on the basis of a structure diagram of the DXF-format teaching tool;
s2: reconstructing a body, and processing a top graph, a structure graph and a bottom graph by using a 'drawing-up' algorithm program to obtain three-dimensional data of the whole teaching tool;
s3: and deleting the repeated common surfaces to form the three-dimensional topological data of the teaching tool.
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