CN114596746A - Simulation education training system and learning method based on simulation education training system - Google Patents
Simulation education training system and learning method based on simulation education training system Download PDFInfo
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Abstract
The application is suitable for the technical field of computer network application, provides a simulation education practical training system and a learning method based on the simulation education practical training system, and comprises the following steps: the system comprises a server and a client, wherein the server comprises a course resource layer and a service layer, and the course resource layer comprises a course teaching module and a component scene module; the business layer comprises a resource storage module, a system module, a learning module, an experiment module and a monitoring module. In the above scheme, the learning mode of online education is enriched, the teaching practice requirement in the industrial control field is met, and students can effectively learn the knowledge in the industrial control field. And experiment operation is carried out in a mode of simulating an experiment scene, different simulation experiment environments are provided for the field of industrial control, and students can learn various conditions of the industrial control system more intuitively.
Description
Technical Field
The application belongs to the technical field of computer network application, and particularly relates to a simulation education practical training system and a learning method based on the simulation education practical training system.
Background
On-line education as a new teaching mode has great influence on the education field, but the existing education training platform has larger limitation, few supportable education training modes are available, and the existing education training platforms only have the training modes of videos, electronic courseware and the like.
For teaching practice requirements in the field of industrial control, practical teaching experiments need to be carried out in various different environments, however, the existing education training platform cannot be directly met.
Disclosure of Invention
In view of this, the embodiment of the present application provides a simulation education training system and a learning method based on the simulation education training system, so as to solve the problems that the existing education training platform cannot meet the teaching practice requirements in the industrial control field, and cannot provide different simulation experiment environments for the industrial control field.
The first aspect of the embodiment of the application provides a real standard system of simulation education, its characterized in that is applied to the industrial control field, real standard system of simulation education includes: a server and a client, wherein the server comprises a course resource layer and a service layer,
the course resource layer comprises a course teaching module and a component scene module, the course teaching module is used for generating a plurality of industrial control courses according to knowledge points in the industrial control field and recommending each industrial control course to a student, and the component scene module is used for simulating a simulation experiment scene in the industrial control field on line;
the business layer comprises a resource storage module, a system module, a learning module, an experiment module and a monitoring module, wherein the resource storage module is used for storing resources of different types, the system module is used for configuring and maintaining system functions by an administrator, the learning module is used for students to apply for and learn the industrial control course through the user terminal, the experiment module is used for the students to perform experiment operation based on the simulation experiment scene, and the monitoring module is used for a teacher to monitor the experiment process and the learning process of the students;
the client side comprises a student module and a teacher module, the student module is used for interacting with the server side according to the operation authority corresponding to students after the students log in the system, and the teacher module is used for interacting with the server side according to the operation authority corresponding to the teachers after the teachers log in the system.
In the implementation manner, on one hand, a plurality of industrial control courses are generated based on knowledge points in the industrial control field for students to learn; on the other hand, the resources are virtualized, the simulation experiment scene is constructed, the fact that a plurality of independent experiment environments are established at the server side is achieved, students can conduct experiment operation based on the simulation experiment scene, and the requirements of the industrial control field that practical operation teaching experiments need to be conducted in various different environments are met. And various simulation experiment scenes in the industrial control field are simulated on line, convenience is provided for students or teachers to do experiments in the industrial control field, the students or teachers are not required to construct the experiment scenes in real life, and the experiment cost and the learning cost are saved. Meanwhile, the simulation experiment scene is not limited by physical equipment, so that the safety of the experiment environment is ensured.
Among the above-mentioned implementation, richened the study mode of online education, satisfied the teaching practice demand in the industrial control field, can let the student learn the knowledge in the industrial control field effectively. And experiment operation is carried out in a mode of simulating an experiment scene, so that students can learn the actual condition of the industrial control system more intuitively, and the skills of the students are improved.
Optionally, in a possible implementation manner, the course teaching module includes a course generation module and a recommendation module, the course generation module is used for right the knowledge point is divided, and an industrial control course corresponding to different specialties is generated according to the division result, the recommendation module is used for according to the specialties of the student correspond to different specialties the industrial control course is correspondingly recommended to the student.
Optionally, in a possible implementation manner, the component scenario module includes a component module, a topology networking module, and a virtual machine module, the component module is configured to provide different experimental scenario templates, the topology networking module is configured to simulate different network topology structures, and the virtual machine module is configured to simulate different operating systems and establish an independent experimental environment on the virtual host.
Optionally, in a possible implementation manner, the component scenario module further includes an experiment course generating module, and the experiment course generating module is configured to generate an experiment course according to the simulation experiment scenario.
Optionally, in a possible implementation, the student module includes an editing module, a recording module and an inquiry module, the editing module is used for the student to edit the personal information, the recording module is used for recording the industrial control course and the operation experiment of the student study, and the inquiry module is used for the student to inquire the study record.
Optionally, in a possible implementation manner, the system module includes a log module, and the log module is configured to record a system log, and the system log is used for the administrator to maintain the system function.
A second aspect of the embodiments of the present application provides a learning method based on a simulation education training system, which is characterized by including:
when a student is detected to be online, acquiring the specialty of the student;
determining a target industrial control course matched with the professions of the student in industrial control courses corresponding to different professions, and recommending the target industrial control course to the student;
when an experiment plan of the student is obtained, a control component scene module simulates a simulation experiment scene matched with the experiment plan;
displaying the simulation experiment scene to the student; the simulation experiment scene is used for the student to carry out experiment operation.
Optionally, in a possible implementation manner, after the simulation experiment scenario is shown to the student, the learning method further includes:
monitoring the experiment process and the learning process of the student to generate monitoring data;
and feeding back the monitoring data to a user side of the teacher.
A third aspect of embodiments of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the learning method according to the second aspect.
A fourth aspect of an embodiment of the present application provides a chip, including: and the processor is used for calling and running the computer program from the memory so that the equipment provided with the chip executes the steps of the learning method of the second aspect.
A fifth aspect of the embodiments of the present application provides a computer program product, which, when running on a simulated educational practical training system, causes the simulated educational practical training system to execute the steps of the learning method according to the second aspect.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the embodiments or the prior art description will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings may be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic diagram of a simulated educational training system provided in an exemplary embodiment of the present application;
FIG. 2 is a detailed diagram of a component scenario module provided herein;
FIG. 3 is a detailed view of student modules provided by the present application;
fig. 4 is a specific flowchart of a learning method based on a simulation education training system according to an exemplary embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
In the description of the embodiments of the present application, "/" means "or" unless otherwise specified, for example, a/B may mean a or B; "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present application, "a plurality" means two or more than two.
In the following, the terms "first", "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present embodiment, "a plurality" means two or more unless otherwise specified.
Referring to fig. 1, fig. 1 is a schematic diagram of a simulation education training system according to an exemplary embodiment of the present application. The simulation education training system comprises: a server side and a user side. The server may comprise a server. For example, the server may be an independent server, or may be a cloud service that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a web service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), and a big data and artificial intelligence platform.
The server side comprises a course resource layer and a business layer.
The course resource layer comprises a course teaching module and a component scene module, the course teaching module is used for generating a plurality of industrial control courses according to knowledge points in the industrial control field and recommending each industrial control course to a student, and the component scene module is used for simulating simulation experiment scenes in the industrial control field on line.
Illustratively, a large number of knowledge points about the industrial control domain may be collected in advance, and the type of the knowledge points is not limited. For example, course materials related to information security of the industrial control system can be collected through channels such as schools, networks and the like, and the course materials can comprise electronic documents, electronic videos, electronic pictures, audios, paper books, test questions and the like. The paper book can be converted into a document in an electronic format by scanning.
And summarizing the acquired knowledge points related to the industrial control field by using the course teaching module and making a plurality of industrial control courses. The industrial control courses may include experimental courses, theoretical courses, and knowledge bases, among others. The acquired contents related to the industrial control field are classified and recorded in the knowledge base, and students or teachers can quickly search required data in the knowledge base. The knowledge base also provides a question and answer function, and students or teachers can communicate in a question and answer mode.
Illustratively, a classification model in the network can be used for carrying out detailed classification on a plurality of acquired knowledge points, the knowledge points belonging to the same type are gathered together, and a corresponding industrial control course is made according to each type of knowledge point.
In the implementation mode, the course teaching module generates different industrial control courses according to the knowledge points collected in the field of industrial control, the knowledge storage is sufficient, the types of the courses are rich, the system is complete, and the learning of students and network security practitioners about the relevant knowledge in the field of industrial control is facilitated, so that the abilities of the students and the network security practitioners are improved, and the safety of the industrial control system is also improved from the side.
Illustratively, the course instruction module can also recommend the generated industrial control course to the student. For example, different industrial control courses may be recommended for each student based on the student's learning preferences. Specifically, the personal information of the student can be acquired, and the learning preference of the student can be searched in the personal information. If a certain student likes to do an experiment, recommending an experiment course to the student through the course teaching module; if a certain student likes to research theoretical knowledge, a course teaching module recommends a theoretical course for the student, and the like. The description is given for illustrative purposes only and is not intended to be limiting.
Optionally, in a possible implementation manner, different industrial control courses can be recommended to each student through the course teaching module according to different specialties of the student.
In the implementation mode, the course teaching module is used for accurately recommending the industrial control courses matched with the course teaching module for the students, and the learning interest of the students can be stimulated.
The component scene module is used for simulating a simulation experiment scene in the industrial control field on line.
Illustratively, the component scene module serves experimental courses in the course teaching module, and various simulation experimental scenes in the industrial control field can be simulated on line through the component scene module. For example, according to the knowledge point corresponding to each experiment course, a simulation experiment scene related to each knowledge point is simulated on line by using the component scene module.
In the implementation mode, various simulation experiment scenes in the industrial control field are simulated on line through the component scene module, convenience is provided for students or teachers to conduct experiments in the industrial control field, the students or teachers are not required to build the experiment scenes in real life, and experiment cost and learning cost are saved. And the simulation experiment scene is simulated through the component scene module, the safety of the experiment environment is ensured without limitation and physical equipment, the teaching practice requirements in the industrial control field are met, and the requirements of the industrial control field for carrying out practical teaching experiments in various different environments are met.
Optionally, in a possible implementation manner, the component scenario module may further include an experiment course generation module, where the experiment course generation module is configured to generate an experiment course according to the simulation experiment scenario.
Illustratively, each simulated experiment scene simulated according to the knowledge point corresponding to each experiment course is obtained, and an experiment instruction book is obtained at the same time. And according to the guidance in the experiment guide book, completing the actual operation of the experiment in each simulation experiment scene. Recording the whole experimental process, and generating an experimental course corresponding to each simulation experimental scene according to the recorded experimental process.
In the embodiment, the experiment course is generated according to the simulation experiment scene, which provides abundant teaching contents for students, facilitates the students to learn the experiment course in the industrial control field, and is beneficial to independently completing each experiment according to the experiment course contents.
The server also includes a service layer. The business layer comprises a resource storage module, a system module, a learning module, an experiment module and a monitoring module, wherein the resource storage module is used for storing resources of different types, the system module is used for configuring and maintaining system functions by an administrator, the learning module is used for students to apply for and learn industrial control courses through user terminals, the experiment module is used for the students to perform experiment operation based on simulation experiment scenes, and the monitoring module is used for a teacher to monitor the experiment process and the learning process of the students.
Illustratively, the resource storage module is used for storing different types of resources, which can be understood as the resource storage module is used for storing various data. For example, knowledge points related to the industrial control field, a plurality of industrial control courses (experimental courses, theoretical courses, and the like), user (students, teachers, administrators, and the like) information, constructed simulation experiment scenes, system logs, and the like can be stored through the resource storage module. Various static files, network resources, computing resources, knowledge base resources, etc. may also be stored. The description is given for illustrative purposes only and is not intended to be limiting.
The system module is used for an administrator to configure and maintain system functions. For example, configuring the system upload file size, configuring the virtual machine address, the validity duration of the user (student, teacher, administrator, etc.) login Token (Token), system upgrade recommendations, etc. Different effective time lengths can be configured according to different identities of users.
When the system needs to be upgraded, system upgrading information is pushed to a user, the system upgrading information comprises an upgraded installation package, and the user can select whether to upgrade or not. And if the user wants to upgrade the system, clicking the installation package in the system upgrading information to realize system upgrading. If the user does not want to upgrade the system, the system upgrade information may be turned off.
In the implementation mode, the system module can guarantee the safety of the simulation education training system, and no matter the student is a learning theory course or is subjected to experiment operation through a simulation experiment scene, a safe learning environment can be provided for the student.
Optionally, in a possible implementation, the system module may further include a log module, and the log module is configured to record a system log, and the system log is used for an administrator to maintain the system function. For example, the log module records the system log in real time, when a system is detected to have a bug, the system log generated by the system when the bug occurs is called, the system log is displayed to an administrator, and the administrator analyzes the cause of the bug according to the specific content of the system log and repairs the system bug in time.
Illustratively, when a student or a teacher has a problem in using the system, the problem can be fed back to the administrator, the administrator calls the corresponding system log according to the fed-back problem, and then analyzes the reason of the problem according to the specific content of the system log, and timely solves the problem fed back by the student or the teacher.
In the embodiment, the safety of the simulation education training system is further guaranteed through the log module, the log module can record logs generated by the system in detail, a manager can maintain the safety of the system conveniently, the problems encountered by students or teachers in the process of using the system can be solved in time, and after-sale experience is improved.
The learning module is used for students to apply for and learn industrial control courses through the user side. Illustratively, after the student logs in the user terminal, the student can apply for the industrial control course which the student wants to learn. The user side generates a learning application according to the industrial control course which the user wants to learn, the learning application is sent to the server side, the server side sends the corresponding industrial control course to the user side, and students can directly learn the industrial control course which the students want to learn in the user side.
The experiment module is used for students to carry out experiment operation based on simulation experiment scenes. Illustratively, the simulation experiment scene includes various experimental devices, tools, materials and the like required in the simulated experiment process, and various simulated experiment conditions (such as temperature, light and the like). And (4) carrying out experiment operation in a simulation experiment scene by students according to experiment requirements. For example, students can perform experiment operations step by step in a simulation experiment scene according to the guidance of teachers; and experiment operation can be performed in a simulation experiment scene step by referring to the experiment instruction book. The description is given for illustrative purposes only and is not intended to be limiting.
Optionally, after entering the simulation experiment scene, the students can operate the virtual equipment through the virtual network console technology, and cooperate with the provided experiment instruction to guide the completion of the actual operation of the experiment, thereby improving the ability of the students to the safety knowledge of the industrial internet.
The monitoring module is used for monitoring the experiment process and the learning process of the students by the teachers. The teacher has the authority to monitor the experiment process and the learning process of the students. Illustratively, the experimental process and the learning process of students are monitored through the monitoring module, monitoring data are generated, and the monitoring data are sent to the user side where the teacher is located in real time. And the teacher can master the experiment progress and the learning progress of the students in real time by watching the monitoring data in the background.
Optionally, the teacher may also view the experiment task of each student to manage the experiment task of the student. For example, a student does not actively finish the experiment after the experiment, and the teacher can control the student to finish the experiment remotely in order to not influence the next student to successfully experiment.
When a plurality of students carry out experiments simultaneously, the teacher can monitor the experiment condition of each student in real time through the user side where the teacher is located. Whether to remotely end the experiment process of part of students can be selected according to the occupation condition of the server resources so as to avoid that the excessive resource occupation affects the experiments of other students.
Optionally, a timing task can be set, and the experimental task is automatically ended after the time. For example, a timing task is set for a certain student, and the experiment of the student is automatically finished when the experiment time of the student is reached.
In the implementation mode, the teacher can supervise the experiment process and the learning process of the students in real time through the monitoring module, so that the errors made by the students in the experiment or learning process can be corrected conveniently at any time, and meanwhile, a supervising and urging effect is also played for the learning of the students.
The user terminal can be a tablet computer, a mobile phone, a computer, a wearable device, a personal digital assistant and other terminals.
The client comprises a student module and a teacher module, the student module is used for interacting with the server according to the operation authority corresponding to students after the students log in the system, and the teacher module is used for interacting with the server according to the operation authority corresponding to teachers after the teachers log in the system.
Illustratively, because the identities of students and teachers are different, the operation authorities corresponding to the students and the teachers are different. For example, students have the authority to learn various industrial control courses, perform experiments using simulation experiment scenarios, recommend learning, and the like. On the basis of the operation authorities of the students, the teacher also has the authorities of monitoring the authorities, closing the experiment operation, ending the experiment task and the like.
Illustratively, after a student logs in the system through a user side, the student interacts with the server side according to the corresponding operation authority. For example, a user applies for learning a certain industrial control course, the user sends the learning application to the server, the server sends the corresponding industrial control course to the user, and a student can directly learn the industrial control course he wants to learn in the user. For example, the student may perform an experiment operation using the simulation experiment scenario.
Similarly, after the teacher logs in the system through the user side, the teacher interacts with the server side according to the corresponding operation authority. For example, the experiment process, the learning process, etc. of the student are monitored through the user terminal.
In the implementation manner, on one hand, a plurality of industrial control courses are generated based on knowledge points in the industrial control field for students to learn; on the other hand, the resources are virtualized, the simulation experiment scene is constructed, the fact that a plurality of independent experiment environments are established at the server side is achieved, students can conduct experiment operation based on the simulation experiment scene, and the requirements of the industrial control field that practical operation teaching experiments need to be conducted in various different environments are met. And various simulation experiment scenes in the industrial control field are simulated on line, convenience is provided for students or teachers to do experiments in the industrial control field, the students or teachers are not required to construct the experiment scenes in real life, and the experiment cost and the learning cost are saved. Meanwhile, the simulation experiment scene is not limited by physical equipment, so that the safety of the experiment environment is ensured.
Among the above-mentioned implementation, richened the study mode of online education, satisfied the teaching practice demand in the industrial control field, can let the student learn the knowledge in the industrial control field effectively. And experiment operation is carried out in a mode of simulating an experiment scene, so that students can learn the actual condition of the industrial control system more intuitively, and the skills of the students are improved.
Optionally, in one possible implementation, the course teaching module may include a course generating module and a recommending module.
The course generation module is used for dividing the knowledge points and generating industrial control courses corresponding to different specialties according to the division result. For example, the collected knowledge points can be classified based on the expertise corresponding to each knowledge point by using a classification model in the network. Such as automation specialty, computer specialty, network security specialty, etc.
And gathering knowledge points belonging to the same specialty. And making different industrial control courses according to different specialties. Industrial control courses belonging to the same profession can be displayed together.
And the recommending module is used for correspondingly recommending the industrial control courses corresponding to different specialties to the students according to the specialties of the students. Illustratively, personal information of a student can be obtained, and the profession of the student can be searched in the personal information. Such as automation specialty, computer specialty, network security specialty, etc.
And determining a target industrial control course matched with the specialty of the student in the industrial control courses corresponding to different specialties, and recommending the target industrial control course to the student. Course skills, such as basic skills, comprehensive skills, and directional skills, may also be recommended for the student.
In the implementation mode, the course generation module generates the industrial control courses corresponding to different specialties, and then the recommendation module accurately recommends the industrial control courses matched with the specialties of the students, so that the learning interest of the students can be stimulated. After learning certain course contents, the students are beneficial to generating interest in the development of the industrial control field, so that the students can spontaneously search for data from other courses provided by the system to learn, and the skills of the students can be improved in a planning way.
Referring to fig. 2, fig. 2 is a detailed diagram of a component scenario module provided in the present application. As shown in fig. 2, the component scenario module includes a component module, a topology networking module, and a virtual machine module.
The component module is used for providing different experimental scene templates. In order to facilitate the rapid construction of different simulation experiment scenes during experiment operation, different experiment scene templates are provided in the component modules in advance. During experiment, the required experiment scene template can be cloned through a cloning technology, so that the simulation experiment scene can be generated quickly.
For example, in a possible implementation scenario, after receiving a learning task, a student may browse learning theoretical knowledge first, and then start an experimental environment to perform an experimental operation. After the experiment is started, an experiment scene template established in advance is cloned through a link cloning technology, so that a simulation experiment scene is generated rapidly, and then experiment operation is carried out based on the simulation experiment scene.
The topology networking module is used for simulating different network topology structures. Illustratively, when a network topology structure needs to be built in a learning task, different network topology structures are simulated by using the topology networking module. Optionally, a draggable topology networking can be set, so that students can build a network topology structure quickly.
A network environment meeting the learning requirement is built in the server according to the experiment requirement, and the network environment on a physical server is not limited, so that the flexibility is enhanced, and the learning cost is reduced.
The virtual machine module is used for simulating different operating systems and establishing independent experimental environments on the virtual host. Illustratively, a plurality of virtual machines can be generated by using virtualization technology, and then different operating systems can be simulated on the virtual machines according to learning requirements and independent experimental environments can be established.
For example, virtualization technologies such as virtual machines (vmware) and open source cloud computing management platform project (openstack) may be used, and the virtualization platform may be managed by a management tool (Libvirt).
Illustratively, the independent experimental environment may be established on the Virtual host through a Virtual Local Area Network (VLAN), a Network virtualization technology (vxlan). The independent experiment environment is established to ensure that the equipment in a plurality of scenes cannot influence each other, so that the experiment environment of each student is independent and does not interfere with each other in the experiment process, and the accuracy of the experiment result of each student is improved. And when the experiment environment of a certain student goes out the problem, also can close the experiment environment after, the experiment environment carries out the experiment operation again, can not influence other students' normal experiment.
And simulation protocol software of industrial control (such as configuration king, various industrial control penetration tools, scanning tools, packet capturing tools and the like) can be installed in the generated virtual machine, so that subsequent simulation experiments are facilitated.
Because the industrial control environment is relatively complex, the safety of the experimental process can be effectively ensured by adopting the virtualization technology.
It should be noted that, in the process of configuring the virtual machines and simulating different operating systems, each virtual machine and each installed software are continuously monitored, it is ensured that each virtual machine is reproducible and each software is also abnormal, and then an independent experimental environment is established, so as to ensure that students can normally start an experimental environment and normally complete experimental operations.
Optionally, in a possible implementation manner, the component scenario module may further include a virtualization link module, configured to simulate and implement virtual network connection between the virtual host and the outside world.
The related virtual equipment is almost the same as real equipment, but is not a high-cost real scene, and all the virtual equipment occupying the resources of the server can be safely, efficiently, reasonably and conveniently controlled remotely, so that the maximization of the resource utilization rate of the server is ensured.
Please refer to fig. 3, fig. 3 is a detailed diagram of the student module provided in the present application. As shown in fig. 3, the student module includes an editing module, a recording module, and a query module.
The editing module is used for the students to edit the personal information. Illustratively, the personal information may record information such as name, school number, sex, age, contact address, identification number, address, school calendar, age, profession, learning preference, hobby, and the like of the student. Students can view or edit their personal information.
The recording module is used for recording industrial control courses for student learning and operation experiments. Illustratively, each industrial control course learned by the student, and each experimental operation performed, can be recorded by the recording module.
The recording module can also record the learning duration, the collected industrial control courses, the learning progress, the experimental process of each experiment, the experimental result of each experiment, the experimental time of each experiment and the like of each student.
The query module is used for the student to query the learning record. Illustratively, the query module can be used for the students to query the information in the recording module, so that the students can conveniently know the learning progress in time, and the learning plan can be adjusted actively.
Referring to fig. 4, fig. 4 is a specific flowchart illustrating a learning method based on a simulation education training system according to an exemplary embodiment of the present application; the learning method as shown in fig. 4 may include: s101 to S104 are as follows:
s101: and when the students are detected to be online, acquiring the professions of the students.
Illustratively, students may log into the system through an account number, password. When the student successfully logs in the system, the student can be detected to be in an online state, and the profession learned by the student is acquired. For example, the personal information of the student may be obtained, and the profession of the student may be looked up in the personal information. Such as automation specialty, computer specialty, network security specialty, etc.
S102: and determining a target industrial control course matched with the professions of the students in the industrial control courses corresponding to the different professions, and recommending the target industrial control course to the students.
Illustratively, the profession corresponding to each industrial control course is obtained, a target industrial control course matched with the profession of the student is selected from the industrial control courses according to the professions of the student, and the target industrial control course is recommended to the student.
Alternatively, the targeted industrial control course can include one or more industrial control courses. When only one industrial control course matches the student's profession, the industrial control course is determined to be a target industrial control course. The targeted industrial control course is then recommended to the student.
When multiple industrial control courses match the student's profession, the industrial control courses may all be determined to be target industrial control courses. The targeted industrial control course is then recommended to the student.
Or when a plurality of industrial control courses are matched with the professions of the students, one industrial control course is arbitrarily selected from the industrial control courses to serve as a target industrial control course, and the target industrial control course is recommended to the students.
Course skills, such as basic skills, comprehensive skills, and directional skills, may also be recommended for the student. The description is given for illustrative purposes only and is not intended to be limiting.
S103: when the experiment plan of the student is obtained, the control component scene module simulates a simulation experiment scene matched with the experiment plan.
For example, the experimental plan may be created by the student, or may be created by the teacher of the student, but is not limited thereto. And the formulated experiment calculation is transmitted to the server, when the server acquires the experiment plan of the student, the specific experiment contents in the experiment plan are further extracted, and the component scene module is controlled to simulate the simulation experiment scene matched with the experiment contents.
For example, a target experiment scene template matched with the experiment content is selected from the experiment scene templates established in advance, the target experiment scene template is cloned through a link cloning technology, and then the simulation experiment scene matched with the experiment content is rapidly generated. The description is given for illustrative purposes only and is not intended to be limiting.
S104: displaying the simulation experiment scene to students; the simulation experiment scene is used for students to perform experiment operation.
Illustratively, the generated simulation experiment scene is displayed to students, and the students perform experiment operations in the simulation experiment scene. For example, students can perform experiment operations step by step in a simulation experiment scene according to the guidance of teachers; and experiment operation can be performed in a simulation experiment scene step by referring to the experiment instruction book. The description is given for illustrative purposes only and is not intended to be limiting.
In the implementation manner, on one hand, the industrial control course is recommended to the students for the students to learn; on the other hand, students can perform experiment operation based on simulation experiment scenes, and the requirements of the industrial control field for performing practical teaching experiments in various different environments are met. The experiment cost and the learning cost are saved. Meanwhile, the simulation experiment scene is not limited by physical equipment, so that the safety of the experiment environment is ensured.
Among the above-mentioned implementation, not only richened the study mode of online education, satisfied the teaching practice demand in the industrial control field, can also let the student learn the knowledge in the industrial control field effectively. And experiment operation is carried out in a mode of simulating an experiment scene, so that students can learn the actual condition of the industrial control system more intuitively, and the skills of the students are improved.
Optionally, in a possible implementation manner, after S104, the method further includes:
monitoring the experiment process and the learning process of students to generate monitoring data; and feeding back the monitoring data to the user side of the teacher.
The monitoring data may include video, audio, text, pictures, etc.
Illustratively, the server monitors the experiment process and the learning process of students in real time and generates corresponding monitoring data. The teacher logs in the user side, the server side sends the monitoring data to the user side where the teacher logs in real time, and the teacher can master the experiment progress and the learning progress of the students in real time by watching the monitoring data through the background.
Optionally, the teacher may also view the experiment task of each student to manage the experiment task of the student. For example, a student does not actively finish the experiment after the experiment, and the teacher can control the student to finish the experiment remotely in order to not influence the next student to successfully experiment.
When a plurality of students carry out experiments simultaneously, the teacher can monitor the experiment condition of each student in real time through the user side where the teacher is located. Whether the experiment process of part of students needs to be remotely ended or not can be selected according to the occupation condition of server resources, so that the experiment of other students is prevented from being influenced by excessive resource occupation.
Optionally, a timing task can be set, and the experimental task is automatically ended after the time. For example, a timing task is set for a certain student, and the experiment of the student is automatically finished when the experiment time of the student is reached.
In the implementation mode, the teacher can supervise the experiment process and the learning process of the students in real time, so that the errors of the students in the experiment or learning process can be corrected at any time, and meanwhile, the teacher also plays a supervising and urging role in the learning of the students.
The embodiment of the present application further provides a computer storage medium, where the computer storage medium may be nonvolatile or volatile, and the computer storage medium stores a computer program, and the computer program, when executed by a processor, implements the steps in the foregoing respective learning method embodiments.
The present application also provides a computer program product, which, when run on an apparatus, causes the apparatus to perform the steps in the respective learning method embodiments described above.
An embodiment of the present application further provides a chip or an integrated circuit, where the chip or the integrated circuit includes: and the processor is used for calling and running the computer program from the memory so that the device provided with the chip or the integrated circuit executes the steps in each learning method embodiment.
Each module included in the simulation education training system provided by the application can be a software module or a hardware module, and can be used for realizing each step in the embodiment corresponding to fig. 4.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. For the specific working processes of the units and modules in the system, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not cause the essential features of the corresponding technical solutions to depart from the spirit scope of the technical solutions of the embodiments of the present application, and are intended to be included within the scope of the present application.
Claims (10)
1. The utility model provides a real standard system of simulation education which characterized in that is applied to the industrial control field, real standard system of simulation education includes: a server and a client, wherein the server comprises a course resource layer and a service layer,
the course resource layer comprises a course teaching module and a component scene module, the course teaching module is used for generating a plurality of industrial control courses according to knowledge points in the industrial control field and recommending each industrial control course to a student, and the component scene module is used for simulating a simulation experiment scene in the industrial control field on line;
the business layer comprises a resource storage module, a system module, a learning module, an experiment module and a monitoring module, wherein the resource storage module is used for storing resources of different types, the system module is used for configuring and maintaining system functions by an administrator, the learning module is used for students to apply for and learn the industrial control course through the user terminal, the experiment module is used for the students to perform experiment operation based on the simulation experiment scene, and the monitoring module is used for a teacher to monitor the experiment process and the learning process of the students;
the client side comprises a student module and a teacher module, the student module is used for interacting with the server side according to the operation authority corresponding to students after the students log in the system, and the teacher module is used for interacting with the server side according to the operation authority corresponding to the teachers after the teachers log in the system.
2. The practical training system for simulation education as claimed in claim 1, wherein the course teaching module includes a course generation module and a recommendation module, the course generation module is used for dividing the knowledge points and generating industrial control courses corresponding to different specialties according to the division result, and the recommendation module is used for recommending the industrial control courses corresponding to different specialties to the student according to the specialties of the student.
3. The practical training system for simulation education as claimed in claim 1, wherein the component scene module includes a component module, a topology networking module and a virtual machine module, the component module is used for providing different experimental scene templates, the topology networking module is used for simulating different network topology structures, and the virtual machine module is used for simulating different operating systems and establishing independent experimental environments on the virtual host.
4. The simulated educational training system of claim 3, wherein the component scenario module further comprises an experiment course generation module, the experiment course generation module is configured to generate an experiment course according to the simulated experiment scenario.
5. The practical training system of simulated education as claimed in claim 1, wherein the student module includes an editing module, a recording module and an inquiring module, the editing module is used for the student to edit personal information, the recording module is used for recording industrial control courses and operation experiments learned by the student, and the inquiring module is used for the student to inquire learning records.
6. The simulated educational training system of claim 1, wherein the system module comprises a log module for recording a system log for the administrator to maintain system functions.
7. A learning method based on a simulation education training system is characterized by comprising the following steps:
when a student is detected to be online, acquiring the specialty of the student;
determining a target industrial control course matched with the professions of the student in industrial control courses corresponding to different professions, and recommending the target industrial control course to the student;
when the experiment plan of the student is obtained, a control component scene module simulates a simulation experiment scene matched with the experiment plan;
displaying the simulation experiment scene to the student; the simulation experiment scene is used for the student to carry out experiment operation.
8. The learning method of claim 7, wherein after the presenting the simulated experimental scenario to the student, the learning method further comprises:
monitoring the experiment process and the learning process of the student to generate monitoring data;
and feeding back the monitoring data to a user side of the teacher.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to claim 7 or 8.
10. A chip, comprising: a processor for calling and running a computer program from a memory so that a device on which the chip is installed performs the method of claim 7 or 8.
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