CN117768666A - Mobile internet virtual training intelligent monitoring system - Google Patents
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- CN117768666A CN117768666A CN202311798824.3A CN202311798824A CN117768666A CN 117768666 A CN117768666 A CN 117768666A CN 202311798824 A CN202311798824 A CN 202311798824A CN 117768666 A CN117768666 A CN 117768666A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 63
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- 238000007726 management method Methods 0.000 claims abstract description 22
- 238000012549 training Methods 0.000 claims abstract description 22
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- 238000013500 data storage Methods 0.000 claims abstract description 7
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Abstract
The invention discloses a mobile internet virtual training intelligent monitoring system, which belongs to the technical field of virtual training, and comprises a teacher end, a monitoring server and a monitoring server, wherein the teacher end is used for receiving monitoring data and providing an interactive interface; the learning end is connected with the monitoring server to upload operation data, and runs a virtual training system which comprises an information management module and is used for managing personal information and login information of a student using the learning end; a monitoring server, comprising: the data acquisition unit is used for monitoring behaviors, actions and operations of a student in the virtual training system in real time; the analysis and evaluation unit is used for carrying out real-time processing, analysis and evaluation on the data acquired by the data acquisition unit, wherein the evaluation comprises evaluation on learning conditions, proficiency and personalized requirements of students; the network management unit adopts a distributed network architecture; and the data storage unit is used for storing data. The invention adopts intelligent monitoring to control the training situation of students in detail.
Description
Technical Field
The invention relates to the technical field of virtual training, in particular to a mobile internet virtual training intelligent monitoring system.
Background
Virtual training refers to real-time training and practice performed in a virtual environment through technical means such as virtual reality, augmented reality, analog simulation and the like. The training environment with high safety, controllability and repeatability is provided, so that a learner can perform actual operation and decision in a simulated situation, own skills and knowledge are improved, and the virtual training can be applied to various fields such as medical treatment, education, military, aviation, industry and the like. Through virtual training, a learner can contact various conditions in a real scene, know and master related skills, and can perform practical operation in a virtual environment, so that risks and limitations are overcome. The training effect can be effectively improved, the risk and the cost are reduced, and the participation degree and the enthusiasm of learners are improved. The method provides an immersive and practical training environment for learners, improves training effects, and provides more learning opportunities and experiences.
Because virtual training is different from real training, virtual training can provide a large amount of real training opportunities at every turn, and when the student operates virtual training, the teacher can't intuitively check the real training condition of each student, and under the condition that the student is more, it is difficult to accurately monitor the student, and the real training condition of each student can not be estimated according to various factors such as the student operation, so that the traditional technical means is difficult to monitor the virtual training.
Disclosure of Invention
The intelligent mobile internet virtual training intelligent monitoring system aims to solve the problem that the virtual training is not accurate enough due to the fact that the number of students is large, has the advantages of being accurate and comprehensive in monitoring, timely in data processing, capable of evaluating the training of each student, personalized in evaluation and better in evaluation effect.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
the virtual practical training intelligent monitoring system of mobile interconnection, the system includes:
the teacher end is used for connecting the monitoring server to receive the monitoring data, and provides an interactive interface which comprises an interactive module and a data display module;
the learning end is connected with the monitoring server to upload operation data, runs a virtual training system and also comprises an interaction module which is the same as the teacher end, wherein the virtual training system comprises an information management module and is used for managing personal information and login information of a student using the learning end;
a monitoring server, comprising:
the data acquisition unit is used for monitoring behaviors, actions and operations of a student in the virtual training system in real time;
the analysis and evaluation unit is used for carrying out real-time processing, analysis and evaluation on the data acquired by the data acquisition unit, wherein the evaluation comprises evaluation on learning conditions, proficiency and personalized requirements of students;
the network management unit adopts a distributed network architecture and is used for providing wired or wireless transmission of data among the units, and the network management unit also comprises a firewall;
and the data storage unit is used for storing the data in the data acquisition unit and the analysis and evaluation unit and storing the data of the teacher end and the learning end.
Preferably, the interaction module between the teacher end and the learning end is in communication interconnection through a three-party server, the three-party server provides a voice, text, video and file intercommunication line, and one or more interaction modes of voice, text, video or files between the teacher end and the learning end can be realized by sending a connection request between the teacher end and the learning end.
Preferably, the data display module converts analysis and evaluation data of a student into one or more forms of charts, graphs or reports through data visualization processing and displays the one or more forms of charts, graphs or reports on the interactive interface.
Preferably, the data acquisition unit comprises an external sensor acquisition module, a virtual tracking acquisition module and an audio-video acquisition module, wherein the sensor acquisition module is used for tracking the position and the action of a student in a virtual training by using multiple types of sensors; the virtual tracking acquisition module is used for positioning the head direction and the head position of a student when the virtual reality head is worn by using the skeleton key points to enter a virtual environment; the audio and video acquisition module is used for monitoring the posture, the action and the eye spirit of a student when virtual training is carried out through cameras arranged in reality.
Preferably, the analysis and evaluation unit comprises a data processing module, a data analysis module, a data evaluation module, an analysis model and an evaluation model, wherein the data processing module is used for denoising, screening, classifying and format conversion of the data, preprocessing the data acquired by the data acquisition unit and transmitting the data to the data analysis module; the data analysis module is connected with the analysis model, the processed data is input into the analysis model to extract key indexes, the extracted key indexes are sent to the data evaluation module, the data evaluation module is connected with the evaluation model and used for comparing the obtained key indexes with evaluation standards preset in the evaluation model, and an evaluation result is output.
Preferably, the analysis and evaluation unit further comprises a student portrait model, the student portrait model is connected with the analysis model and the evaluation model, in the student portrait model, a portrait of the student is generated according to output results of various evaluations of the data evaluation module, the portrait comprises monitoring items of the student and evaluation values corresponding to each monitoring item, the analysis model corrects the analyzed key indexes by acquiring names of the monitoring items, and the evaluation model analyzes individuation of the student by acquiring the evaluation values of each monitoring item.
Preferably, the data processing modules are distributed and arranged on the sensor acquisition modules, the virtual tracking acquisition modules and the audio-video acquisition modules which are connected with the data acquisition unit, the data processing modules are provided with a plurality of data processing modules, each data processing module corresponds to the sensor acquisition module, the virtual tracking acquisition module and the audio-video acquisition module one by one, and each data processing module is mutually independent and is connected with the data analysis module through the network management unit.
Preferably, the analysis model and the evaluation model are large language models, and are connected with a training database, and the analysis model and the evaluation model are corrected through the training database.
Preferably, the data storage unit comprises a database module, an index module, a backup and recovery module and a quality management module, wherein the database module is used for storing data, the index module is used for establishing an index, a proper query mode is designed according to the characteristics of the data, the backup and recovery module is used for backing up the data in the database module according to a set period, a recovery mechanism is established, and the quality management module is used for cleaning, de-duplication and de-noising of the stored data.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, the data acquisition unit is used for acquiring the behaviors, actions and operations of the virtual training of the students, and analyzing and evaluating the acquired data, so that the learning condition, the proficiency and the individuation requirements of the students in the virtual training process are obtained, the difficulty that the number of the students is large and the virtual training of each student cannot be accurately monitored and evaluated is solved, and the analysis and evaluation can be performed accurately according to the learning or habit difference of each student through the analysis model, the evaluation model and the student portrait model, so that the evaluation of each student is diversified and the actual condition of each student is more attached.
2. The data processing modules are distributed on the sensor acquisition module, the virtual tracking acquisition module and the audio-video acquisition module which are externally connected with the data acquisition unit, the acquired data are processed in real time, and the processing results are uploaded to the data analysis module and the data evaluation module in real time, so that the monitoring and evaluation are more real-time, and the teacher end and the learning end can be conveniently connected with each other through the interaction module, so that the problems generated in the virtual training can be solved in time, and the learning efficiency of students can be improved.
Drawings
FIG. 1 is a schematic diagram of the whole structure of the training intelligent monitoring system of the invention.
FIG. 2 is a schematic diagram of the structure of the analysis and evaluation unit according to the present invention.
FIG. 3 is a schematic representation of a student portrait model generation of the present invention.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
As shown in fig. 1, the mobile internet virtual training intelligent monitoring system includes:
the teacher end is used for being connected with the monitoring server to receive monitoring data, the teacher end provides an interactive interface, the interactive interface comprises an interactive module and a data display module, the interactive interface can provide interaction between a teacher and the whole intelligent monitoring system, the teacher can check virtual practical training operation of each student and evaluation results of the students at any time through the data display module on the interactive interface, the data display module converts analysis evaluation data of the students into one or more forms of charts, graphs or reports to be displayed on the interactive interface through data visualization processing, and diversified data display can be used for more intuitively checking practical training conditions of each student.
The learning end is connected with the monitoring server to upload operation data, the learning end runs the virtual training system and further comprises an interaction module identical to the teacher end, the virtual training system comprises an information management module used for managing personal information and login information of a student using the learning end, the information management module is used for verifying identity information of the student, each student stores a login account, the student logs in the virtual training system by using the login account to conduct training operation, and the monitoring server also logs in operation of the student.
A monitoring server, comprising:
the data acquisition unit is used for monitoring behaviors, actions and operations of students in the virtual training system in real time, the information management module is mentioned at the learning end to store personal information of the students, and the personal information is also acquired by the data acquisition unit when the data are acquired, so that the acquired data of each student are not crossed together, the privacy is stronger, and errors are not easy to occur.
And the analysis and evaluation unit is used for carrying out real-time processing, analysis and evaluation on the data acquired by the data acquisition unit, wherein the evaluation comprises evaluation on learning condition, proficiency and personalized requirements of students.
The network management unit adopts a distributed network architecture and is used for providing wired or wireless transmission of data among the units, and the network management unit also comprises a firewall.
And the data storage unit is used for storing the data in the data acquisition unit and the analysis and evaluation unit and storing the data of the teacher end and the learning end.
The interactive module between the teacher end and the learning end is communicated and interconnected through the three-party server, the three-party server provides a voice, text, video and file intercommunication line, and one or more interactive modes of voice, text, video or files between the teacher end and the learning end can be realized by sending a connection request between the teacher end and the learning end.
The data acquisition unit comprises an externally connected sensor acquisition module, a virtual tracking acquisition module and an audio-video acquisition module, wherein the sensor acquisition module is used for tracking the position and the action of a student in a virtual training by using a plurality of types of sensors; the virtual tracking acquisition module is used for positioning the head direction and the head position of a student when the virtual reality head is worn by using the skeleton key points to enter a virtual environment; the audio and video acquisition module is used for monitoring the posture, the action and the mind of a student when virtual training is carried out through the cameras arranged in reality, and through the three acquisition modules, accurate acquisition of data can be ensured even if the approach of each student using a learning end is different.
As shown in fig. 2, the analysis and evaluation unit comprises a data processing module, a data analysis module, a data evaluation module, an analysis model and an evaluation model, wherein the data processing module is used for denoising, screening, classifying and format converting the data, preprocessing the data acquired by the data acquisition unit and transmitting the data to the data analysis module; the data analysis module is connected with the analysis model, the processed data are input into the analysis model to extract key indexes, the extracted key indexes are sent to the data evaluation module, the data evaluation module is connected with the evaluation model and is used for comparing the acquired key indexes with preset evaluation standards in the evaluation model and outputting evaluation results, the analysis evaluation module further comprises a student portrait model, the student portrait model is connected with the analysis model and the evaluation model, in the student portrait model, according to the output results of each evaluation of the data evaluation module, the portrait comprises monitoring items of the student and evaluation values corresponding to each monitoring item, the analysis model corrects the analyzed key indexes by acquiring the names of the monitoring items, the evaluation model is used for analyzing individuation of the student by acquiring the evaluation values of each monitoring item, the student portrait model can display the values of each monitoring item, as shown in fig. 3, five monitoring items of the student can be checked through the portrait, and thus the situation that the monitoring items of the student are mastered by each monitoring item are not in the personalized can be accurately trained according to the individuation characteristics of the student.
The data processing modules are distributed on the sensor acquisition modules, the virtual tracking acquisition modules and the audio and video acquisition modules which are connected with the data acquisition units, the data processing modules are provided with a plurality of data processing modules, each data processing module corresponds to the sensor acquisition modules, the virtual tracking acquisition modules and the audio and video acquisition modules one by one, each data processing module is mutually independent and is connected with the data analysis module through the network management unit, the data processing modules are distributed on the sensor acquisition modules, the virtual tracking acquisition modules and the audio and video acquisition modules, and the data processing modules are distributed on the sensor acquisition modules, the virtual tracking acquisition modules and the audio and video acquisition modules by adopting the technical mode of edge calculation, so that the data can be rapidly processed and uploaded after being acquired in real time, and the whole system can realize the effect of real-time monitoring and evaluation.
The analysis model and the evaluation model are large language models, the analysis model and the evaluation model are connected with training databases, the analysis model and the evaluation model are corrected through the training databases, the data storage unit comprises a database module, an index module, a backup and recovery module and a quality management module, the database module is used for storing data, the index module is used for establishing indexes, a proper query mode is designed according to the characteristics of the data, the backup and recovery module is used for backing up the data in the database module according to a set period, a recovery mechanism is established, and the quality management module is used for cleaning, de-duplication and de-noising the stored data.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (9)
1. The utility model provides a virtual real intelligent monitoring system of instructing of mobile interconnection which characterized in that, this system includes:
the teacher end is used for connecting the monitoring server to receive the monitoring data, and provides an interactive interface which comprises an interactive module and a data display module;
the learning end is connected with the monitoring server to upload operation data, runs a virtual training system and also comprises an interaction module which is the same as the teacher end, wherein the virtual training system comprises an information management module and is used for managing personal information and login information of a student using the learning end;
a monitoring server, comprising:
the data acquisition unit is used for monitoring behaviors, actions and operations of a student in the virtual training system in real time;
the analysis and evaluation unit is used for carrying out real-time processing, analysis and evaluation on the data acquired by the data acquisition unit, wherein the evaluation comprises evaluation on learning conditions, proficiency and personalized requirements of students;
the network management unit adopts a distributed network architecture and is used for providing wired or wireless transmission of data among the units, and the network management unit also comprises a firewall;
and the data storage unit is used for storing the data in the data acquisition unit and the analysis and evaluation unit and storing the data of the teacher end and the learning end.
2. The mobile interconnection virtual training intelligent monitoring system according to claim 1, wherein the interaction module between the teacher end and the learning end is in communication interconnection through a three-way server, the three-way server provides a voice, text, video and file intercommunication line, and one or more interaction modes of voice, text, video or files between the teacher end and the learning end can be realized by sending a connection request between the teacher end and the learning end.
3. The mobile internet virtual training intelligent monitoring system according to claim 1, wherein the data display module converts analysis evaluation data of a student into one or more forms of charts, graphs or reports through data visualization processing and displays the analysis evaluation data on the interactive interface.
4. The mobile internet virtual training intelligent monitoring system according to claim 1, wherein the data acquisition unit comprises an external sensor acquisition module, a virtual tracking acquisition module and an audio-video acquisition module, wherein the sensor acquisition module is used for tracking the position and the action of a student in the virtual training by using a plurality of types of sensors; the virtual tracking acquisition module is used for positioning the head direction and the head position of a student when the virtual reality head is worn by using the skeleton key points to enter a virtual environment; the audio and video acquisition module is used for monitoring the posture, the action and the eye spirit of a student when virtual training is carried out through cameras arranged in reality.
5. The mobile internet virtual training intelligent monitoring system according to claim 1, wherein the analysis and evaluation unit comprises a data processing module, a data analysis module, a data evaluation module, an analysis model and an evaluation model, wherein the data processing module is used for denoising, screening, classifying and format converting data, preprocessing the data acquired by the data acquisition unit and transmitting the data to the data analysis module; the data analysis module is connected with the analysis model, the processed data is input into the analysis model to extract key indexes, the extracted key indexes are sent to the data evaluation module, the data evaluation module is connected with the evaluation model and used for comparing the obtained key indexes with evaluation standards preset in the evaluation model, and an evaluation result is output.
6. The mobile internet virtual training intelligent monitoring system according to claim 5, wherein the analysis and evaluation unit further comprises a student figure model, the student figure model is connected with the analysis model and the evaluation model, a student figure is generated according to output results of each evaluation of the data evaluation module in the student figure model, the figure comprises monitoring items of the student and evaluation values corresponding to each monitoring item, the analysis model corrects the analyzed key indexes by acquiring names of the monitoring items, and the evaluation model analyzes individualization of the student by acquiring the evaluation values of each monitoring item.
7. The mobile internet virtual training intelligent monitoring system according to claim 5, wherein the data processing modules are distributed on a sensor acquisition module, a virtual tracking acquisition module and an audio-video acquisition module which are connected with the data acquisition unit, the data processing modules are provided with a plurality of data processing modules, each data processing module corresponds to the sensor acquisition module, the virtual tracking acquisition module and the audio-video acquisition module one by one, and each data processing module is mutually independent and connected with the data analysis module through the network management unit.
8. The mobile internet virtual training intelligent monitoring system according to claim 5, wherein the analysis model and the evaluation model are large language models, and the analysis model and the evaluation model are connected with a training database, and the analysis model and the evaluation model are corrected through the training database.
9. The mobile internet virtual training intelligent monitoring system according to claim 1, wherein the data storage unit comprises a database module, an index module, a backup and recovery module and a quality management module, the database module is used for storing data, the index module is used for establishing an index, a proper query mode is designed according to the characteristics of the data, the backup and recovery module is used for backing up the data in the database module according to a set period, a recovery mechanism is established, and the quality management module is used for cleaning, de-duplication and de-noising of the stored data.
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| CN202311798824.3A CN117768666A (en) | 2023-12-26 | 2023-12-26 | Mobile internet virtual training intelligent monitoring system |
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| CN202311798824.3A CN117768666A (en) | 2023-12-26 | 2023-12-26 | Mobile internet virtual training intelligent monitoring system |
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