CN113095780A - Implementation method of training archive management system based on MUSE simulation platform - Google Patents
Implementation method of training archive management system based on MUSE simulation platform Download PDFInfo
- Publication number
- CN113095780A CN113095780A CN202110384832.8A CN202110384832A CN113095780A CN 113095780 A CN113095780 A CN 113095780A CN 202110384832 A CN202110384832 A CN 202110384832A CN 113095780 A CN113095780 A CN 113095780A
- Authority
- CN
- China
- Prior art keywords
- task
- training
- management
- test
- theoretical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Abstract
The invention relates to the technical field of power station simulation training, in particular to an implementation method of a training archive management system based on an MUSE simulation platform, which comprises the following specific steps: s1, student management: the first tab page of the configuration manager is a trainee management page, and entity management, class/group management and trainee management can be performed in the page, wherein the organization structure in the trainee management is simplified into a three-layer structure of an entity, a class/group and a trainee, and the class/group under the entity can be added or managed only after the entity to be managed is selected; s2, practical training resource management: training resources are management of simulation model resources, simulation calculation resources and training rooms which are needed to be used in the training process; the invention solves the problems of incomplete function, low integration level, inconvenient operation and inconvenient management of a small amount of existing simulation training archive management system software on the market at present by designing the implementation method of the training archive management system based on the MUSE simulation platform.
Description
Technical Field
The invention relates to the technical field of power station simulation training, in particular to an implementation method of a training archive management system based on an MUSE simulation platform.
Background
In order to ensure efficient, safe and economic continuous production operation, a modern large-scale power plant needs to have a high-quality professional operation technician, and an effective method for improving the level of operators is to continuously train in a simulation training device, quickly familiarize the process flow and the characteristics of a generator set through efficient computer simulation training, and master rich unit start-stop operation and accident handling experience. In recent 30 years, power station simulation training has been widely used in china.
With the improvement of computer software and hardware level and the continuous progress of simulation technology, higher requirements are put forward on a large-scale power station simulation training device:
1. whether the support environment software has high openness or not, whether the interface is friendly or not, whether multi-user and multi-task operation is supported or not, and whether the support environment software has a high automatic management function or not.
2. Whether the modeling tool software is flexible, visual and convenient or not and whether the modeling tool software has a strong debugging function or not.
3. Whether the process simulation mathematical model has high precision or not can highly meet the real-time performance of simulation and the dynamic characteristics in the full working condition range or not.
4. And (4) simulating to train whether the operation interface MMI (Man Machine interface) is highly vivid.
5. The DCS simulation has strong research function and can be directly connected with the simulated object.
6. Whether the simulation training archive management system is friendly, convenient and convenient to manage.
The MUSE (Multi-User Simulation Environment) Simulation system inherits the successful experience of developing a power station Simulation machine for many years, is a set of distributed object-oriented integrated Simulation support platform, and has a graphical modeling technology, a virtual DPU technology and a high-precision mechanism type process mathematical model. This solution is at the international leading level,
a training archive management system (simulation training manager for short) based on a MUSE simulation platform is an important management tool for a MUSE real-time calculation support system, at present, simulation training work is more and more emphasized, and the management work of the simulation training is required to be standardized and standardized, the simulation training is not only used for carrying out on-machine technical guidance and practical training on operators, but also increasingly important, the simulation training work is developed, the simulation management personnel can conveniently use the system to carry out on-machine management and memorandum recording on the operators so as to form simulation training archives of the operators and records of relevant data, carry out practical training test question and practical training test paper management, supervise, check, summarize and manage the training process of students by the training managers, and regularly form statistical reports so as to analyze the overall link effect of the operators needing to be improved and training and analyzing, and the actual technical level of the trained personnel on the unit is known on the whole, and targeted training content is further implemented according to the personnel level.
At present, a small amount of simulation training archive management system software is available in the market, but the simulation training archive management system software is incomplete in function, low in integration level, inconvenient to operate and inconvenient to manage.
In summary, the present invention solves the existing problems by designing an implementation method of a training archive management system based on a MUSE simulation platform.
Disclosure of Invention
The invention aims to provide an implementation method of a training archive management system based on an MUSE simulation platform, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
a method for realizing a training archive management system based on an MUSE simulation platform comprises the following specific steps:
s1, student management: the first tab page of the configuration manager is a trainee management page, and entity management, class/group management and trainee management can be performed in the page, wherein the organization structure in the trainee management is simplified into a three-layer structure of an entity, a class/group and a trainee, and the class/group under the entity can be added or managed only after the entity to be managed is selected;
s2, practical training resource management: training resources are management of simulation model resources, simulation calculation resources and training rooms which are needed to be used in the training process;
s3, managing training test questions and training test papers: the practical training test question refers to a basis for evaluating the operation process and the operation effect of a user in a certain scene, the definition of the practical training test question comprises an initial working condition, a script and a scoring rule, namely the scoring rule can be applied to various initial working condition conditions or used for evaluating the states of override and fault, if the scoring rule is used for evaluating the states of the fault and the like, one mode is that the fault is defined in the working condition, and the other mode is that the script is used for adding a fault trigger statement;
s4, practical training operation ticket management: the practical training operation ticket is actually a set of a series of standard operations, can be used for carrying out automatic operation demonstration, can also be automatically operated by a user according to step information of the operation ticket, namely a learning mode of the operation ticket, and is a follow-up practice essentially;
s5, theoretical learning data management: the theoretical learning materials comprise three parts of management contents, category management, learning material management and course management, wherein the category is a basic basis for the classification of the comprehensive management system, can be classified into a large category and can also be more systematic, and only one-level classification is supported in the system at present; the learning material management is a tool for uploading theoretical learning materials and managing information, and each piece of learning material should belong to a specific category; the theoretical courses are organized according to the hierarchical structure of course-section-data, and can also be considered as secondary classification of learning data and used in the learning task of the theoretical courses;
s6, theoretical test question management: the theoretical test questions are also managed according to categories, the theoretical test questions only support judgment questions, single item blank filling questions and single item selection choice questions at present, and the categories to be managed are selected in a category list frame, so that various test questions of the categories can be seen;
s7, theoretical test paper management: the theoretical test paper is a set of theoretical test questions, a coach can manage the theoretical test paper on a label page of the theoretical test paper, the definition of the theoretical test paper is similar to the definition of the practice test paper, the test paper is added firstly, and then the test questions are added into the test paper;
s8, the real operation task definition: the actual exercise tasks refer to various tasks for performing actual exercise training by utilizing the simulation model, and comprise actual exercise training tasks, actual exercise self-testing tasks, actual exercise examination tasks, actual exercise demonstration tasks and actual exercise follow-up exercise tasks;
s9, theoretical task definition: when the initial page is seen to list theoretical courses and theoretical test papers, the theoretical tasks are tasks distributed to students for learning theoretical knowledge and are divided into four types, namely a theoretical learning task, a theoretical self-test task, a theoretical examination task and a theoretical course task:
s10, conference task definition: the initial page is seen to list defined meeting tasks;
s11, training task definition: see that the initial page lists the training tasks that have been defined;
s12, reward task definition, wherein the initial page lists the defined training tasks;
s13, task assignment: the initial page can list defined training tasks, the tasks of the practice exercises are initially displayed in the task list, and the task retrieval part is arranged on the lower left of the whole page;
s14, task monitoring: displaying the execution conditions of all dispatched personnel on the basis of tasks, wherein the task states comprise defined, dispatched, started and closed states, and by default, when the current time exceeds the starting time of the task definition, the tasks are automatically in the started state; and when the current time exceeds the end time defined by the task, the task is automatically in a closed state. When the task is not in the started state, the student cannot execute the task; when the task is in a closed state, the student can not execute the task any more;
if the task needs to be started or closed in advance due to some special reasons, the tab page can be monitored in the task, the task needing to be processed is found in the task list through the retrieval function, and then the task starting or closing button is clicked, so that the function of manually changing the task state can be realized;
s15, training files: the training files are based on the trainees and display the summary situation of the training and learning situations of the trainees in a certain period.
As a preferred embodiment of the present invention, the emulation computing resources in S2 include a database host, a communication host, a cache host, and a computing engine host.
As a preferred embodiment of the present invention, the steps of the practice exercise task, the practice self-test task, the practice demonstration task and the practice follow-up exercise task in S8 are as follows:
1) practice exercise tasks: the original ecology uses a certain simulation model for training, the training content is not specified, the training time is not limited, and a student can load the working condition by himself to learn each process of system cognition, starting and stopping machine and warming up; faults can also be set by self, and the practice of fault finding and processing can be carried out;
2) practice test: the student takes an examination according to the set practical exercise test questions set by the coach, the practical exercise test questions are provided with initial working conditions, faults (possibility) and override (possibility) conditions, and under the practical exercise scene conditions, the student checks monitoring picture parameters and states and analyzes unit operation conditions according to the requirements of test question guidance, performs corresponding processing operation and finishes the target specified by the test questions;
3) actual operation self-test: the practical exercise self-test mode is the same as the practical exercise test, and the practical exercise self-test mode can be regarded as the simulation test or self-training of a student;
4) and (3) practical operation demonstration: the practice demonstration is that the system self-demonstrates the operation order, wherein the defined operation steps are defined, and the student performs the task of learning by observation;
5) actual practice and follow training: the practice and practice tasks also use defined operation tickets, namely a series of operation steps are defined for each operation ticket, and the trainees carry out practice operation according to the operation steps defined in the operation tickets so as to achieve the training of standard operation.
As a preferred embodiment of the present invention, the step of defining the conference task in S10 is specifically as follows:
1) filling in basic information defined by tasks such as task names, task starting time, task ending time, task integration and the like;
2) filling in the conference subject and the conference place information, and selecting the conference special information such as a conference host and the like.
As a preferred embodiment of the present invention, the step of defining the training task in S11 is specifically as follows:
u1) filling basic information defined by a training task name, a task starting time, a task ending time and a task integral task;
u2) filling training subjects and training site information, and selecting training special information of a training speaker;
u3) if a trainee who attends the training content needs to attend a test after training to evaluate the training effect, selecting test items to be taken after training in a [ examination after training ] list;
4) clicking the (increase) button will increase a training task.
As a preferred embodiment of the present invention, the reward task definition step in S12 is specifically as follows:
u1) filling basic information of the rewarding task name, the task starting time, the task ending time and the task integral range;
u2) filling out the reward task requirement description;
u3) selects the category to which the reward task belongs.
As a preferred embodiment of the present invention, the contents retrieved in S13 include:
u1) task name: if the content is filled in, searching a task containing the keyword in the name;
u2) task categories: single category or unlimited category;
u3) start time: the starting time may be selected to be greater than or less than a certain time point, and if "unlimited" is selected, the starting time is not used as a retrieval condition;
u 4) end time: the end time may be selected to be greater or less than a certain point in time, and if "unlimited" is selected, the end time is not used as a retrieval condition.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, through the implementation method of the training archive management system based on the MUSE simulation platform, the problems that a small amount of existing simulation training archive management system software on the market is incomplete in function, low in integration level, inconvenient to operate and inconvenient to manage are solved, so that the system can be used for conveniently performing on-machine management and memorandum recording on operators, forming simulation training archives and related data recording on the operators, performing practical training test questions and practical training test paper management, and being more beneficial to supervision, inspection, collection and management of training managers on training processes of students, regularly forming statistical reports, and further being more convenient to analyze improved training links and analyzing the whole training effect of the operators.
Drawings
FIG. 1 is a diagram of a trainee administration tab;
FIG. 2 is a schematic diagram of a training resource management tab;
FIG. 3 is a schematic diagram of a label page of a training test question;
fig. 4 is a schematic diagram of a tag page-initial page of the real operation ticket;
FIG. 5 is a schematic diagram of an exemplary theoretical data tab display;
FIG. 6 is a schematic diagram of a theoretical test question selection question template;
FIG. 7 is a schematic diagram of a theoretical test paper tab-initial page;
FIG. 8 is a schematic diagram of a Tab Page-initial Page for a get task;
FIG. 9 is a theoretical task tab-initial page diagram;
FIG. 10 is a meeting task tab-initial page diagram;
FIG. 11 is a training task tab-initial page diagram;
FIG. 12 is a diagram of a reward task tab-initial page;
FIG. 13 is a task assignment tab-initial page diagram;
FIG. 14 is a schematic view of a task monitor-initiation page;
FIG. 15 is a schematic diagram of a training file-initial page.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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, rather than all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without any creative work based on the embodiments of the present invention belong to the protection scope of the present invention.
While several embodiments of the present invention will be described more fully hereinafter with reference to the accompanying drawings, in order to facilitate an understanding of the invention, the invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, but rather should be construed to provide a more complete disclosure of the invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present, that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, and that the terms "vertical", "horizontal", "left", "right" and the like are used herein for descriptive purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, and the terms used herein in the specification of the present invention are for the purpose of describing particular embodiments only and are not intended to limit the present invention, and the term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1-15, the present invention provides a technical solution:
a method for realizing a training archive management system based on an MUSE simulation platform comprises the following specific steps:
s1, student management: the first tab page of the configuration manager is a trainee management page, and entity management, class/group management and trainee management can be performed in the page, wherein the organization structure in the trainee management is simplified into a three-layer structure of an entity, a class/group and a trainee, and the class/group under the entity can be added or managed only after the entity to be managed is selected;
s2, practical training resource management: training resources are management of simulation model resources, simulation calculation resources and training rooms which are needed to be used in the training process;
s3, managing training test questions and training test papers: the practical training test question refers to a basis for evaluating the operation process and the operation effect of a user in a certain scene, the definition of the practical training test question comprises an initial working condition, a script and a scoring rule, namely the scoring rule can be applied to various initial working condition conditions or used for evaluating the states of override and fault, if the scoring rule is used for evaluating the states of the fault and the like, one mode is that the fault is defined in the working condition, and the other mode is that the script is used for adding a fault trigger statement;
s4, practical training operation ticket management: the practical training operation ticket is actually a set of a series of standard operations, can be used for carrying out automatic operation demonstration, can also be automatically operated by a user according to step information of the operation ticket, namely a learning mode of the operation ticket, and is a follow-up practice essentially;
s5, theoretical learning data management: the theoretical learning materials comprise three parts of management contents, category management, learning material management and course management, wherein the category is a basic basis for the classification of the comprehensive management system, can be classified into a large category and can also be more systematic, and only one-level classification is supported in the system at present; the learning material management is a tool for uploading theoretical learning materials and managing information, and each piece of learning material should belong to a specific category; the theoretical courses are organized according to the hierarchical structure of course-section-data, and can also be considered as secondary classification of learning data and used in the learning task of the theoretical courses;
s6, theoretical test question management: the theoretical test questions are also managed according to categories, the theoretical test questions only support judgment questions, single item blank filling questions and single item selection choice questions at present, and the categories to be managed are selected in a category list frame, so that various test questions of the categories can be seen;
s7, theoretical test paper management: the theoretical test paper is a set of theoretical test questions, a coach can manage the theoretical test paper on a label page of the theoretical test paper, the definition of the theoretical test paper is similar to the definition of the practice test paper, the test paper is added firstly, and then the test questions are added into the test paper;
s8, the real operation task definition: the actual exercise tasks refer to various tasks for performing actual exercise training by utilizing the simulation model, and comprise actual exercise training tasks, actual exercise self-testing tasks, actual exercise examination tasks, actual exercise demonstration tasks and actual exercise follow-up exercise tasks;
s9, theoretical task definition: when the initial page is seen to list theoretical courses and theoretical test papers, the theoretical tasks are tasks distributed to students for learning theoretical knowledge and are divided into four types, namely a theoretical learning task, a theoretical self-test task, a theoretical examination task and a theoretical course task:
s10, conference task definition: the initial page is seen to list defined meeting tasks;
s11, training task definition: see that the initial page lists the training tasks that have been defined;
s12, reward task definition, wherein the initial page lists the defined training tasks;
s13, task assignment: the initial page can list defined training tasks, the tasks of the practice exercises are initially displayed in the task list, and the task retrieval part is arranged on the lower left of the whole page;
s14, task monitoring: displaying the execution conditions of all dispatched personnel on the basis of tasks, wherein the task states comprise defined, dispatched, started and closed states, and by default, when the current time exceeds the starting time of the task definition, the tasks are automatically in the started state; and when the current time exceeds the end time defined by the task, the task is automatically in a closed state. When the task is not in the started state, the student cannot execute the task; when the task is in a closed state, the student can not execute the task any more;
if the task needs to be started or closed in advance due to some special reasons, the tab page can be monitored in the task, the task needing to be processed is found in the task list through the retrieval function, and then the task starting or closing button is clicked, so that the function of manually changing the task state can be realized;
s15, training files: the training files are based on the trainees and display the summary situation of the training and learning situations of the trainees in a certain period.
Further, the emulated computing resources in S2 include a database host, a communication host, a cache host, and a compute engine host.
Further, the actual practice exercise task, the actual practice self-test task, the actual practice demonstration task and the actual practice follow-up exercise task in S8 specifically include the following steps:
1) practice exercise tasks: the original ecology uses a certain simulation model for training, the training content is not specified, the training time is not limited, and a student can load the working condition by himself to learn each process of system cognition, starting and stopping machine and warming up; faults can also be set by self, and the practice of fault finding and processing can be carried out;
2) practice test: the student takes an examination according to the set practical exercise test questions set by the coach, the practical exercise test questions are provided with initial working conditions, faults (possibility) and override (possibility) conditions, and under the practical exercise scene conditions, the student checks monitoring picture parameters and states and analyzes unit operation conditions according to the requirements of test question guidance, performs corresponding processing operation and finishes the target specified by the test questions;
3) actual operation self-test: the practical exercise self-test mode is the same as the practical exercise test, and the practical exercise self-test mode can be regarded as the simulation test or self-training of a student;
4) and (3) practical operation demonstration: the practice demonstration is that the system self-demonstrates the operation order, wherein the defined operation steps are defined, and the student performs the task of learning by observation;
5) actual practice and follow training: the practice and practice tasks also use defined operation tickets, namely a series of operation steps are defined for each operation ticket, and the trainees carry out practice operation according to the operation steps defined in the operation tickets so as to achieve the training of standard operation.
Further, the step of defining the conference task in S10 is specifically as follows:
1) filling in basic information defined by tasks such as task names, task starting time, task ending time, task integration and the like;
2) filling in the conference subject and the conference place information, and selecting the conference special information such as a conference host and the like.
Further, the step of defining the training task in S11 is specifically as follows:
u1) filling basic information defined by a training task name, a task starting time, a task ending time and a task integral task;
u2) filling training subjects and training site information, and selecting training special information of a training speaker;
u3) if a trainee who attends the training content needs to attend a test after training to evaluate the training effect, selecting test items to be taken after training in a [ examination after training ] list;
4) clicking the (increase) button will increase a training task.
Further, the reward task definition step in S12 is specifically as follows:
u1) filling basic information of the rewarding task name, the task starting time, the task ending time and the task integral range;
u2) filling out the reward task requirement description;
u3) selects the category to which the reward task belongs.
Further, the content retrieved in S13 includes:
u1) task name: if the content is filled in, searching a task containing the keyword in the name;
u2) task categories: single category or unlimited category;
u3) start time: the starting time may be selected to be greater than or less than a certain time point, and if "unlimited" is selected, the starting time is not used as a retrieval condition;
u 4) end time: the end time may be selected to be greater or less than a certain point in time, and if "unlimited" is selected, the end time is not used as a retrieval condition.
The specific implementation case is as follows:
step 1) student management: a first tab page of the configuration manager is a trainee management page, and entity management, class/group management, and trainee management can be performed in the page, as shown in fig. 1, an organization structure in the trainee management is simplified into a three-layer structure of an entity, a class/group, and a trainee, and only after an entity to be managed is selected, the class/group under the entity can be added or managed;
step 2), training resource management: the training resources are management of simulation model resources, simulation calculation resources (a database host, a communication host, a cache host and a calculation engine host) and a training room which are required to be used in the training process, as shown in fig. 2;
step 3), training test questions and training test paper management: the practical training test questions refer to the basis for evaluating the operation process and the operation effect of a user in a certain scene, the definition of the practical training test questions comprises initial working conditions, scripts and scoring rules, namely one scoring rule can be applied to various initial working condition conditions and can also be used for evaluating states such as override, faults and the like, if the scoring rule is used for evaluating the states such as the faults and the like, one way is to define the faults in the working conditions, and the other way is to add fault trigger statements by using the scripts, as shown in fig. 3;
step 4), training operation ticket management: the practical training operation ticket is actually a set of a series of standard operations, and can be used for performing automatic operation demonstration, and also can be automatically operated by a user according to step information of the operation ticket (namely, a learning mode of the operation ticket, which is a follow training in nature), as shown in fig. 4;
step 5) theoretical learning data management: the theoretical learning materials comprise three parts of management contents, category management, learning material management and course management, wherein the category is a basic basis for the classification of the comprehensive management system, can be classified into a large category and can also be more systematic, and only one-level classification is supported in the system at present; the learning material management is a tool for uploading theoretical learning materials and managing information, and each piece of learning material should belong to a specific category; the theoretical courses are organized according to the hierarchical structure of course-section-data, and can also be considered as secondary classification of learning data, and are used in the theoretical course learning task, as shown in fig. 5;
step 6) theoretical test question management: the theoretical test questions are also managed according to categories, the theoretical test questions only support judgment questions, single blank filling questions and single selection choice questions at present, and the categories to be managed by the test questions are selected in a category list frame, so that various test questions of the categories can be seen, wherein the single blank filling questions are shown in fig. 6;
step 7) theoretical test paper management: the theoretical test paper is a set of theoretical test questions, and a coach can manage the theoretical test paper on a label page of the theoretical test paper. The initial style of the theoretical test paper tab is shown in fig. 7, the definition of the theoretical test paper is similar to the definition of the practice test paper, the test paper is added firstly, and then the test questions are added to the test paper;
step 8), defining an actual operation task: the actual exercise tasks refer to various tasks for performing actual exercise training by utilizing the simulation model, and comprise actual exercise training tasks, actual exercise self-testing tasks, actual exercise examination tasks, actual exercise demonstration tasks and actual exercise follow-up exercise tasks:
u1) practice task: the original ecology uses a certain simulation model for training, the training content is not specified, the training time is not limited, and a student can load the working condition by himself to learn each process of system cognition, starting and stopping, warming up and the like; faults can also be set by self, and the practice of fault finding and processing can be carried out;
u2) practice test: the student takes an examination according to the set practical exercise test questions set by the coach, the practical exercise test questions set initial working conditions, set faults (possibility), set overrides (possibility) and other conditions, and under the practical exercise scene conditions, the student checks monitoring picture parameters and states and analyzes unit operation conditions according to the requirements of test question guidance, performs corresponding processing operation and finishes the target specified by the test questions;
u3) real operation self test: the practical exercise self-test mode is the same as the practical exercise test, and the practical exercise self-test mode can be regarded as the simulation test or self-training of a student;
u 4) practice demonstration: the practice demonstration is that the system self-demonstrates the operation order, wherein the defined operation steps are defined, and the student performs the task of learning by observation;
u 5) actual practice follow-up exercise: the practice follow-up exercise task also uses defined operation tickets (each operation ticket defines a series of operation steps), the trainee performs exercise operation according to the operation steps defined in the operation tickets to achieve the training of standard operation, and the practice task is shown in fig. 8;
step 9) theoretical task definition: the initial state of the tab page is shown in fig. 9, and it can be seen that the initial page lists theoretical courses and theoretical test papers. The theoretical tasks are tasks distributed to students for learning theoretical knowledge and are divided into four types, namely a theoretical learning task, a theoretical self-testing task, a theoretical examination task and a theoretical course task;
step 10) conference task definition: the initial state of the tab page is shown in fig. 10, and it can be seen that the initial page lists defined meeting tasks, and the step of defining the meeting tasks is as follows:
1) filling in basic information defined by tasks such as task names, task starting time, task ending time, task integration and the like;
2) filling in conference subjects and conference site information, and selecting conference special information such as a conference host and the like;
step 11) training task definition: the initial state of the tab page is shown in fig. 11, and it can be seen that the initial page lists the defined training tasks, and the steps of defining the training tasks are as follows:
u1) filling basic information of task definitions such as training task names, task starting time, task ending time and task integration;
u2) filling in training subjects and training site information, and selecting training special information such as a training speaker and the like;
u3) if a trainee who attends the training content needs to attend a test after training to evaluate the training effect, selecting test items to be taken after training in a [ examination after training ] list;
4) clicking the 'increase' button at the lower left part can increase a training task;
step 12) rewarding task definition, wherein the initial state of a tag page is shown in figure 12, and the initial page can list defined training tasks; the steps of defining the reward task are as follows:
u1) filling basic information such as a reward task name, a task starting time, a task ending time, a task integral range and the like;
u2) filling out the reward task requirement description;
u3) selecting the category to which the reward task belongs;
step 13) task assignment: the initial state of the tab page is shown in fig. 13, the initial page may list the defined training tasks, and the tasks of the practice type are initially displayed in the task list. The lower left of the whole page is a task retrieval part, and the retrieved contents comprise:
u1) task name: if the content is filled in, searching a task containing the keyword in the name;
u2) task categories: single category or unlimited category;
u3) start time: the starting time may be selected to be greater than or less than a certain time point, and if "unlimited" is selected, the starting time is not used as a retrieval condition;
u 4) end time: the ending time can be selected to be more or less than a certain time point, and if the 'unlimited' is selected, the ending time is not used as the retrieval condition;
step 14) task monitoring: task monitoring tab can manually set task state, and display the execution situation of all dispatched personnel on the basis of task, the task state includes defined, dispatched, started and closed, by default, when the current time exceeds the start time of task definition, the task is automatically in the started state; and when the current time exceeds the end time defined by the task, the task is automatically in a closed state. When the task is not in the started state, the student cannot execute the task; when the task is in a closed state, the student can not execute the task any more;
if a task needs to be started or closed in advance due to some special reasons, the task to be processed can be found in a task monitoring tab, such as a task list shown in fig. 14, through a retrieval function, and then a task starting or closing button is clicked, so that a function of manually changing the task state can be realized;
step 15) training archives: the training profile is a summary of training and learning conditions of trainees in a certain period of time, and is displayed on the basis of the trainees, as shown in fig. 15.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A method for realizing a training archive management system based on an MUSE simulation platform comprises the following specific steps:
s1, student management: the first tab page of the configuration manager is a trainee management page, and entity management, class/group management and trainee management can be performed in the page, wherein the organization structure in the trainee management is simplified into a three-layer structure of an entity, a class/group and a trainee, and the class/group under the entity can be added or managed only after the entity to be managed is selected;
s2, practical training resource management: training resources are management of simulation model resources, simulation calculation resources and training rooms which are needed to be used in the training process;
s3, managing training test questions and training test papers: the practical training test question refers to a basis for evaluating the operation process and the operation effect of a user in a certain scene, the definition of the practical training test question comprises an initial working condition, a script and a scoring rule, namely the scoring rule can be applied to various initial working condition conditions or used for evaluating the states of override and fault, if the scoring rule is used for evaluating the states of the fault and the like, one mode is that the fault is defined in the working condition, and the other mode is that the script is used for adding a fault trigger statement;
s4, practical training operation ticket management: the practical training operation ticket is actually a set of a series of standard operations, can be used for carrying out automatic operation demonstration, can also be automatically operated by a user according to step information of the operation ticket, namely a learning mode of the operation ticket, and is a follow-up practice essentially;
s5, theoretical learning data management: the theoretical learning materials comprise three parts of management contents, category management, learning material management and course management, wherein the category is a basic basis for the classification of the comprehensive management system, can be classified into a large category and can also be more systematic, and only one-level classification is supported in the system at present; the learning material management is a tool for uploading theoretical learning materials and managing information, and each piece of learning material should belong to a specific category; the theoretical courses are organized according to the hierarchical structure of course-section-data, and can also be considered as secondary classification of learning data and used in the learning task of the theoretical courses;
s6, theoretical test question management: the theoretical test questions are also managed according to categories, the theoretical test questions only support judgment questions, single item blank filling questions and single item selection choice questions at present, and the categories to be managed are selected in a category list frame, so that various test questions of the categories can be seen;
s7, theoretical test paper management: the theoretical test paper is a set of theoretical test questions, a coach can manage the theoretical test paper on a label page of the theoretical test paper, the definition of the theoretical test paper is similar to the definition of the practice test paper, the test paper is added firstly, and then the test questions are added into the test paper;
s8, the real operation task definition: the actual exercise tasks refer to various tasks for performing actual exercise training by utilizing the simulation model, and comprise actual exercise training tasks, actual exercise self-testing tasks, actual exercise examination tasks, actual exercise demonstration tasks and actual exercise follow-up exercise tasks;
s9, theoretical task definition: when the initial page is seen to list theoretical courses and theoretical test papers, the theoretical tasks are tasks distributed to students for learning theoretical knowledge and are divided into four types, namely a theoretical learning task, a theoretical self-test task, a theoretical examination task and a theoretical course task:
s10, conference task definition: the initial page is seen to list defined meeting tasks;
s11, training task definition: see that the initial page lists the training tasks that have been defined;
s12, reward task definition, wherein the initial page lists the defined training tasks;
s13, task assignment: the initial page can list defined training tasks, the tasks of the practice exercises are initially displayed in the task list, and the task retrieval part is arranged on the lower left of the whole page;
s14, task monitoring: displaying the execution conditions of all dispatched personnel on the basis of tasks, wherein the task states comprise defined, dispatched, started and closed states, and by default, when the current time exceeds the starting time of the task definition, the tasks are automatically in the started state; when the current time exceeds the end time defined by the task, the task is automatically in a closed state; when the task is not in the started state, the student cannot execute the task; when the task is in a closed state, the student can not execute the task any more;
if the task needs to be started or closed in advance due to some special reasons, the tab page can be monitored in the task, the task needing to be processed is found in the task list through the retrieval function, and then the task starting or closing button is clicked, so that the function of manually changing the task state can be realized;
s15, training files: the training files are based on the trainees and display the summary situation of the training and learning situations of the trainees in a certain period.
2. The method of claim 1, wherein the MUSE simulation platform based training archive management system comprises: the simulation computing resources in the S2 comprise a database host, a communication host, a cache host and a computing engine host.
3. The method of claim 1, wherein the MUSE simulation platform based training archive management system comprises: the specific steps of the actual exercise task, the actual exercise self-test task, the actual exercise demonstration task and the actual exercise follow-up exercise task in the step S8 are as follows:
1) practice exercise tasks: the original ecology uses a certain simulation model for training, the training content is not specified, the training time is not limited, and a student can load the working condition by himself to learn each process of system cognition, starting and stopping machine and warming up; faults can also be set by self, and the practice of fault finding and processing can be carried out;
2) practice test: the student takes an examination according to the set practical exercise test questions set by the coach, the practical exercise test questions are provided with initial working conditions, faults (possibility) and override (possibility) conditions, and under the practical exercise scene conditions, the student checks monitoring picture parameters and states and analyzes unit operation conditions according to the requirements of test question guidance, performs corresponding processing operation and finishes the target specified by the test questions;
3) actual operation self-test: the practical exercise self-test mode is the same as the practical exercise test, and the practical exercise self-test mode can be regarded as the simulation test or self-training of a student;
4) and (3) practical operation demonstration: the practice demonstration is that the system self-demonstrates the operation order, wherein the defined operation steps are defined, and the student performs the task of learning by observation;
5) actual practice and follow training: the practice and practice tasks also use defined operation tickets, namely a series of operation steps are defined for each operation ticket, and the trainees carry out practice operation according to the operation steps defined in the operation tickets so as to achieve the training of standard operation.
4. The method of claim 1, wherein the MUSE simulation platform based training archive management system comprises: the step of defining the conference task in S10 is specifically as follows:
1) filling in basic information defined by tasks such as task names, task starting time, task ending time, task integration and the like;
2) filling in the conference subject and the conference place information, and selecting the conference special information such as a conference host and the like.
5. The method of claim 1, wherein the MUSE simulation platform based training archive management system comprises: the step of defining the training task in the step S11 is specifically as follows:
u1) filling basic information defined by a training task name, a task starting time, a task ending time and a task integral task;
u2) filling training subjects and training site information, and selecting training special information of a training speaker;
u3) if a trainee who attends the training content needs to attend a test after training to evaluate the training effect, selecting test items to be taken after training in a [ examination after training ] list;
4) clicking the (increase) button will increase a training task.
6. The method of claim 1, wherein the MUSE simulation platform based training archive management system comprises: the reward task definition step in S12 is specifically as follows:
u1) filling basic information of the rewarding task name, the task starting time, the task ending time and the task integral range;
u2) filling out the reward task requirement description;
u3) selects the category to which the reward task belongs.
7. The method of claim 1, wherein the MUSE simulation platform based training archive management system comprises: the contents retrieved in S13 include:
u1) task name: if the content is filled in, searching a task containing the keyword in the name;
u2) task categories: single category or unlimited category;
u3) start time: the starting time may be selected to be greater than or less than a certain time point, and if "unlimited" is selected, the starting time is not used as a retrieval condition;
u 4) end time: the end time may be selected to be greater or less than a certain point in time, and if "unlimited" is selected, the end time is not used as a retrieval condition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110384832.8A CN113095780A (en) | 2021-04-09 | 2021-04-09 | Implementation method of training archive management system based on MUSE simulation platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110384832.8A CN113095780A (en) | 2021-04-09 | 2021-04-09 | Implementation method of training archive management system based on MUSE simulation platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113095780A true CN113095780A (en) | 2021-07-09 |
Family
ID=76676008
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110384832.8A Pending CN113095780A (en) | 2021-04-09 | 2021-04-09 | Implementation method of training archive management system based on MUSE simulation platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113095780A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020194056A1 (en) * | 1998-07-31 | 2002-12-19 | Summers Gary J. | Management training simulation method and system |
| JP2015022156A (en) * | 2013-07-19 | 2015-02-02 | 日立Ｇｅニュークリア・エナジー株式会社 | Operation training reproducing apparatus |
| CN105844992A (en) * | 2016-05-23 | 2016-08-10 | 华北电力大学（保定） | Inspection and repairing technology training and examination system and method for thermal generator set turbine |
| CN108053463A (en) * | 2017-11-16 | 2018-05-18 | 芜湖发电有限责任公司 | Thermal power plant's three-dimensional simulation technical method based on muse emulation platforms |
| KR20190052742A (en) * | 2017-11-09 | 2019-05-17 | 한국전력공사 | Power plant simulator with monitoring diagnostic apparatus |
| CN110047339A (en) * | 2019-04-29 | 2019-07-23 | 深圳市卓智荟教育科技有限公司 | Rail traffic Training Management Information System |
-
2021
- 2021-04-09 CN CN202110384832.8A patent/CN113095780A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020194056A1 (en) * | 1998-07-31 | 2002-12-19 | Summers Gary J. | Management training simulation method and system |
| JP2015022156A (en) * | 2013-07-19 | 2015-02-02 | 日立Ｇｅニュークリア・エナジー株式会社 | Operation training reproducing apparatus |
| CN105844992A (en) * | 2016-05-23 | 2016-08-10 | 华北电力大学（保定） | Inspection and repairing technology training and examination system and method for thermal generator set turbine |
| KR20190052742A (en) * | 2017-11-09 | 2019-05-17 | 한국전력공사 | Power plant simulator with monitoring diagnostic apparatus |
| CN108053463A (en) * | 2017-11-16 | 2018-05-18 | 芜湖发电有限责任公司 | Thermal power plant's three-dimensional simulation technical method based on muse emulation platforms |
| CN110047339A (en) * | 2019-04-29 | 2019-07-23 | 深圳市卓智荟教育科技有限公司 | Rail traffic Training Management Information System |
Non-Patent Citations (3)
| Title |
|---|
| 余胜泉: "典型教学支撑平台的介绍", 中国远程教育, no. 02, pages 56 - 60 * |
| 张文楷;张东英;徐珊;: "基于变电站操作票专家系统的评价系统设计", 电力系统保护与控制, no. 09 * |
| 阎光伟;平红燕;: "三维变电站仿真培训系统中数据库的设计与实现", 电力科学与工程, vol. 25, no. 12, pages 19 - 22 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107146491A (en) | The virtual training system emulated based on LVC | |
| CN112365759A (en) | High-voltage power equipment test training system based on virtual reality | |
| Ma et al. | Project-driven learning-by-doing method for teaching software engineering using virtualization technology. | |
| Garmpis | Design and development of a web-based interactive software tool for teaching operating systems | |
| CN109978410A (en) | A kind of task-based appraisal system and method using clearance formula | |
| CN111160857A (en) | Hospital standard culture clinical teaching management system based on internet platform | |
| Shi et al. | Computer-aided software development and application in physical education in colleges and universities | |
| Khwaja | A web-based program outcome assessment tool | |
| CN113095780A (en) | Implementation method of training archive management system based on MUSE simulation platform | |
| Benford et al. | Ceilidh as a course management support system | |
| Dong et al. | An expert system for bridge crane training system based on virtual reality | |
| Biswas et al. | How do students’ learning behaviors evolve in Scaffolded Open-Ended Learning Environments? | |
| Zhao et al. | Design and Implementation of the “Internet plus” Intelligent power simulation and learning system | |
| Ling et al. | Research on Project-Based Learning Python Programming Course | |
| Paris et al. | Novel uses of task models: two case studies | |
| Gilyazeva et al. | The formation of off-line skills by the e-learning course for students majoring in languages | |
| Zhang | Design and implementation of college physical education intelligent management system based on big data cloud platform | |
| Pullan et al. | A problem based approach to teaching programming | |
| Jensen et al. | Data-driven training development: deriving performance constraints from operational examples | |
| Zhiyu et al. | Research on a General Teachers Evaluation Management System | |
| Khiyarusoleh et al. | Implementation of Web-Based Supervision for Guidance and Counseling Teachers | |
| Zhang | On the Construction of a Monitoring System for Third Language Teaching Process Under the Full Credit System | |
| Ouared et al. | Learning Analytics Solution for Monitoring and Analyzing the Students' Behavior in SQL Lab Work. | |
| Averbukh et al. | User-model based design of adaptive human-computer interfaces | |
| TWI224760B (en) | Apparatus and method for intelligence on line learning by study elf |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |