CN110766998A - Online and offline first aid teaching and training system - Google Patents
Online and offline first aid teaching and training system Download PDFInfo
- Publication number
- CN110766998A CN110766998A CN201910839496.4A CN201910839496A CN110766998A CN 110766998 A CN110766998 A CN 110766998A CN 201910839496 A CN201910839496 A CN 201910839496A CN 110766998 A CN110766998 A CN 110766998A
- Authority
- CN
- China
- Prior art keywords
- module
- training
- learning
- processor
- user
- 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
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
- G09B5/065—Combinations of audio and video presentations, e.g. videotapes, videodiscs, television systems
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The invention discloses an online and offline first aid teaching and training system. The system comprises an online training subsystem and an offline training subsystem; the online training subsystem includes: the system comprises a first user terminal and a first management server terminal connected with the first user terminal; the first user side comprises a first training selection module, a first processor, a first learning module and a testing module; the first processor is respectively connected with the first training selection module and the first learning module; the test module is connected with the first learning module; the offline training subsystem comprises: the second management server end is connected with the second user end; the second user end comprises an actual operation module and an identification module. According to the invention, by arranging two independent subsystems of the online training subsystem and the offline training subsystem, the problems that the existing training mode in the emergency field is incomplete, systematical, unreasonable, unpopular and inconvenient are solved, and comprehensive and convenient emergency teaching training is realized.
Description
Technical Field
The invention relates to the technical field of first-aid teaching and training, in particular to an online and offline first-aid teaching and training system.
Background
In the field of emergency teaching, the traditional teaching mode is usually realized by paper books and test questions, but the teaching mode is single, low in efficiency and poor in effect. At present, the existing emergency training system is realized by using a live person demonstration mode or a video, voice and text explanation mode, although the mode requiring demonstration by a professional teacher can achieve the purpose of teaching, the problems of single teaching mode, low teaching efficiency and low popularization rate exist, and the existing emergency training system is inconvenient for specific teaching in other occasions outside a classroom and has the problems of incomprehension, systematicness, unreasonableness, unpopulation and inconvenience.
Disclosure of Invention
Based on this, there is a need for an online and offline emergency teaching and training system to realize comprehensive and convenient emergency teaching and training.
In order to achieve the purpose, the invention provides the following scheme:
an online and offline first aid teaching and training system, comprising: an online training subsystem and an offline training subsystem;
the online training subsystem comprises: the system comprises a first user terminal and a first management server terminal connected with the first user terminal; the first user side comprises a first training selection module, a first processor, a first learning module and a testing module; the first processor is respectively connected with the first training selection module and the first learning module; the test module is connected with the first learning module; the first training selection module is used for selecting a training section; the first processor is used for calling the training section and sending the training section to the first learning module; the first learning module is used for learning the content of the training chapters to obtain a learning result; the content of the training chapters comprises videos, voice, characters and icons; the test module is used for testing the trainee corresponding to the training chapters according to the learning result to obtain a test result; the first management server side is used for receiving the learning result, the test result and the number of the training section;
the offline training subsystem comprises: the system comprises a second user terminal and a second management server terminal connected with the second user terminal; the second user end comprises an actual operation module and an identification module; the actual operation module is used for acquiring chest compression depth data, blowing flow data, double-hand stretching detection data and shoulder compression depth data measured by the sensor, comparing the data with corresponding preset standard data respectively, and sending a prompt instruction to feed back to a trainee; the identification module is used for obtaining a training evaluation result according to the prompt instruction; and the second management server is used for receiving the training evaluation result.
Optionally, the second user end further includes: the training selection module, the second processor and the second learning module;
the second processor is respectively connected with the second training selection module and the second learning module; the second training selection module is used for selecting chapters to be trained; the second processor is used for calling the section to be trained and sending the section to be trained to the second learning module; the second learning module is used for learning the content of the chapters to be trained.
Optionally, the first user end further includes: a first storage module connected with the first processor; the first storage module is used for storing the contents of all training chapters and the numbers corresponding to all the training chapters.
Optionally, the first management server includes a first data analysis processing module and a first management storage module connected to the first data analysis processing module;
the first data analysis processing module is used for receiving the learning result, the test result and the number of the training section; the first management storage module is used for storing the learning result, the test result and the number of the learned training section.
Optionally, the first user end further includes a first input module;
the first input module is respectively connected with the first processor and the first data analysis processing module; the first input module is used for inputting personal information of a trainee; the first management storage module is also used for storing the personal information.
Optionally, the first user end further includes a first network module; the first management server end also comprises a second network module;
the first network module is used for transmitting the learning result, the test result, the number of the learned training section and the personal information to the first data analysis processing module through the second network module.
Optionally, the first learning module includes a first display and a first speaker;
the first display and the first loudspeaker are both connected with the first processor; the first display is used for displaying videos, texts and icons in the content of the training chapters; the first speaker is used for emitting voice in the content of the training chapters.
Optionally, the first client further includes a first update module; the first updating module is respectively connected with the first processor and the first management storage module;
the first updating module is used for comparing the number of the section needing training at the current moment with the number of the learned section, if the number of the section needing training at the current moment is smaller than the number of the learned section, the content of the section needing training at the current moment is updated, and if not, the content is not updated.
Optionally, the second user end further includes: a second storage module connected with the second processor; the second storage module is used for storing the contents of all training chapters and the numbers corresponding to all the training chapters.
Optionally, the second management server includes a second data analysis processing module and a second management storage module connected to the second data analysis processing module;
the second data analysis processing module is used for receiving the learning result, the training evaluation result and the number of the section to be trained which are sent by the second learning module; the second management storage module is used for storing the learning result, the training evaluation result and the number of the learned training section sent by the second learning module.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides an online and offline first aid teaching and training system. The system is provided with an online training subsystem comprising a first user terminal and a first management server terminal and an offline training subsystem comprising a second user terminal and a second management server terminal; the first user side comprises a first training selection module, a first processor, a first learning module and a testing module; the first processor is respectively connected with the first training selection module and the first learning module; the test module is connected with the first learning module; the offline training subsystem comprises: the second user end comprises an actual operation module and an identification module. According to the invention, by arranging two independent subsystems, namely the on-line training subsystem and the off-line training subsystem, the problems that the existing training mode in the emergency field is incomplete, systematical, unreasonable, unpopular and inconvenient are solved, and comprehensive and convenient emergency teaching training is realized; and compared with the existing teaching mode which needs the demonstration of professional teachers, the teaching efficiency is also improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a schematic structural diagram of an online and offline first aid teaching and training system according to embodiment 1 of the present invention;
FIG. 2 is a schematic structural diagram of an on-line training subsystem according to embodiment 1 of the present invention;
FIG. 3 is a schematic structural diagram of an offline training subsystem according to embodiment 1 of the present invention;
FIG. 4 is a schematic structural diagram A of an offline training subsystem according to embodiment 2 of the present invention;
fig. 5 is a schematic structural diagram B of the offline training subsystem according to embodiment 2 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example 1
Fig. 1 is a schematic structural diagram of an online and offline first aid teaching and training system according to embodiment 1 of the present invention, fig. 2 is a schematic structural diagram of an online training subsystem according to embodiment 1 of the present invention, and fig. 3 is a schematic structural diagram of an offline training subsystem according to embodiment 1 of the present invention.
Referring to fig. 1 to 3, an online and offline first aid teaching and training system according to an embodiment includes: an online training subsystem 1 and an offline training subsystem 2.
The online training subsystem 1 includes: a first user terminal 3 and a first management server terminal 4 connected with the first user terminal 3; the first user terminal 3 comprises a first training selection module 31, a first processor 32, a first learning module 33 and a testing module 34; the first processor 32 is connected to the first training selection module 31 and the first learning module 33 respectively; the testing module 34 is connected with the first learning module 33; the first training selection module 31 is used for selecting a training section; the first processor 32 is configured to call the training section and send the training section to the first learning module 33; the first learning module 33 is configured to learn the content of the training chapters to obtain a learning result, where the learning result is learning time and learning times; the content of the training chapters comprises videos, voice, characters and icons; the test module 34 is configured to perform a test on the trainee on the corresponding training section according to the learning result to obtain a test result, such as a learning score; the first management server 4 is configured to receive the learning result, the test result, and the number of the training section.
The offline training subsystem 2 includes: a second user terminal 5 and a second management server terminal 6 connected with the second user terminal 5; the second user terminal 5 comprises an actual operation module 51 and an identification module 52; the actual operation module 51 is configured to acquire chest compression depth data, blowing amount data, both-hand stretching detection data, and shoulder compression depth data measured by the sensor, compare the data with corresponding preset standard data, and send a prompt instruction to feed back the prompt instruction to the trainee; the identification module 52 is configured to obtain a training evaluation result according to the prompt instruction; the second management server 6 is used for receiving the training evaluation result.
In the embodiment, the chest compression depth data is obtained by collecting the operation of the trainee on compressing the chest of the manikin by adopting a distance sensor; the blowing flow data is obtained by collecting the operation of blowing the trainee into the human model mouth by adopting a flow sensor; the data of the detection of the stretching of the two hands is acquired by adopting a diffuse reflector to collect the operation of whether the two hands of the trainee are stretched, and the data can represent whether the surrounding environment of the human body model is safe or not; the shoulder pressing depth data is acquired by adopting a pressing sensor to press the shoulder of the manikin by the trainee, and can represent whether to check unconsciousness. Comparing the above data with corresponding preset standard data, sending out prompt instruction, and feeding back to trainee, for example, comparing chest compression depth data D with standard chest compression maximum depth and standard chest compression minimum depth, if the chest compression depth data satisfies D1≤d≤D2Generating a chest compression depth correct instruction, and feeding back the chest compression depth correct instruction to the trainee; d1Representing the minimum depth of standard chest compressions, D2Represents the standard chest compression maximum depth; if the chest compression depth data satisfies D < D1Generating a chest insufficient compression instruction, and feeding back the insufficient compression instruction to the trainee; if the pressing depth data satisfies D > D2And generating an over-deep pressing instruction and feeding the over-deep pressing instruction back to the trainee. Air flow data, hand extension detection data, and number of shoulder press depthsIn a manner similar to that of the chest compression depth data.
As an optional implementation, the second user end 5 further includes: a second training selection module 53, a second processor 54, and a second learning module 55. The second processor 54 is connected to the second training selection module 53 and the second learning module 55 respectively; the second training selection module 53 is used for selecting chapters to be trained; the second processor 54 is configured to call the section to be trained, and send the section to be trained to the second learning module 55; the second learning module 55 is configured to learn the content of the chapter to be trained.
As an optional implementation, the first user terminal 3 further includes: a first storage module 35 connected to the first processor 32; the first storage module 35 is configured to store the contents of all training chapters and the numbers corresponding to the training chapters.
As an optional implementation manner, the first management server 4 includes a first data analysis processing module 41 and a first management storage module 42 connected to the first data analysis processing module 41. The first data analysis processing module 41 is configured to receive the learning result, the test result, and the number of the training section; the first management storage module 42 is configured to store the learning result, the test result, and the number of the learned training section.
As an alternative embodiment, the first user terminal 3 further comprises a first input module 36. The first input module 36 is connected to the first processor 32 and the first data analysis processing module 41 respectively; the first input module 36 is used for inputting personal information of the trainee, such as name, sex, identity card, academic calendar and the like; the first management storage module 42 is also used for storing the personal information.
As an alternative embodiment, the first user terminal 3 further includes a first network module 37; the first management server side 4 further comprises a second network module 43. The first network module 37 is configured to transmit the learning result, the test result, the number of the learned training chapters, and the personal information to the first data analysis processing module 41 through the second network module 37.
As an alternative embodiment, the first learning module 33 includes a first display and a first speaker. The first display and the first loudspeaker are both connected with the first processor 32; the first display is used for displaying videos, texts and icons in the content of the training chapters; the first speaker is used for emitting voice in the content of the training chapters.
As an optional implementation, the first user end 3 further includes a first updating module; the first updating module is connected to the first processor 32 and the first management storage module, respectively. The first updating module is used for comparing the number of the section needing training at the current moment with the number of the learned section, if the number of the section needing training at the current moment is smaller than the number of the learned section, the content of the section needing training at the current moment is updated, and if not, the content is not updated.
As an optional implementation, the second user end 5 further includes: a second storage module 56 connected to the second processor 54; the second storage module is used for storing the contents of all training chapters and the numbers corresponding to all the training chapters.
As an optional implementation manner, the second management server 6 includes a second data analysis processing module 61 and a second management storage module 62 connected to the second data analysis processing module 61. The second data analysis processing module 61 is configured to receive the learning result, the training evaluation result, and the number of the section to be trained, which are sent by the second learning module 55; the second management storage module 62 is configured to store the learning result, the training evaluation result, and the number of the learned training section, which are sent by the second learning module 55.
The online and offline emergency teaching and training system of the embodiment solves the problems of incomplete, systematical, unreasonable, unpopular and inconvenient existing training modes in the emergency field by setting the two independent subsystems of the online training subsystem 1 and the offline training subsystem 2, and realizes comprehensive and convenient emergency teaching and training; and compared with the existing teaching mode which needs the demonstration of professional teachers, the teaching efficiency is also improved.
A specific example is provided below.
Example 2
The online and offline first aid teaching and training system in the embodiment is divided into an online subsystem and an offline subsystem, and the two subsystems can be used as an independent training system except for sharing the information of the learning personnel. The online training subsystem logs in a mobile phone APP or a WeChat public number real-name registration for use, and can also be used on a touch screen of the terminal. The training subsystem on the login incoming line can learn by sections, learning effect can be tested by oneself after learning of each section is completed, the examination is unqualified, the examination can be relearned, the examination is qualified, the next section can be entered until all sections are completely learned, the training subsystem on the line can record information of a learning person (a trainee) and upload the information to the cloud database, and a virtual certificate which is qualified in learning is displayed for a learner. The offline training subsystem is mainly used for learning actual operation, virtual biological models and mechanism models are used for learners to practice or determine whether self-testing is operated correctly, the online training subsystem is used for practicing in different sections, detection sensors are arranged in the biological models or the structure models and can feed back whether the learners are operated properly, the learners can be learnt again after incorrect operation and tested by themselves, the learners enter the next section to learn after qualified operation until all courses are learned, the offline training subsystem records learner information and uploads the learner information to the cloud database, and training is finished. The online and offline training has the function of recording the learning progress of the course chapters, and the learning can be carried out for several times.
The offline training subsystem in this embodiment is implemented by a first user side and a first management server side, where the first user side includes a first storage module, a first processor, a first display, a first speaker, a first network module, and a first input module. The first user terminal may be a mobile device or a personal computer. When the first user terminal is a mobile device (such as a smart phone or a tablet personal computer), the on-line training and teaching step of the training mode is realized by the first data analysis and processing module executing an application program (APP) module stored in the first storage module, and the first display, the first loudspeaker, the first input module and the user (trainee) are used for realizing interaction so that the user can learn anytime and anywhere.
The first management server end comprises a first management storage module, a first data analysis processing module and a first network module. The first management storage module stores personal information (such as name, gender, identity card, academic calendar and the like), learning information (such as learning time, learning times, learning score and the like), teaching video and the like of the user. The first data analysis processing module processes data transmitted from the first user terminal.
And data transmission between the first user terminal and the first management server terminal is realized through the first network module and the second network module.
Selecting a training mode and logging in a training system
A) On-line mode
1. The user starts an application program (APP) to enter a registration and login page, information of the user is input to the first processor through the first input module, the first processor transmits the information to the first data analysis processing module through the first network module and the second network module, and the first data analysis processing module carries out identification, authentication, analysis and judgment through calling and managing the content in the first storage module. If the user is registered, the first data analysis processing module transmits and stores the user biological information to the first management storage module, the first network module and the second network module transmit the user biological information to the first processor, the first processor calls the storage content in the first storage module, the user registration is fed back to the user through the first display and the first loudspeaker, and the user enters a learning page. If the user logs in, the first data analysis processing module transmits the storage content in the first storage module to the first processor through the first network module and the second network module, and the first processor calls the storage content in the first storage module, feeds the storage content back to the user through the first display and the first loudspeaker and enters a learning page.
2. After entering the learning page, the first processor feeds back the learning content in the first storage module to the user through the first display for the user to select. The user selects the content in the first storage module through the first input module and transmits the selection result to the first processor. The first processor calls the learning content in the first storage module to supply to the user for learning through the first display and the first loudspeaker, and simultaneously feeds back the learning information of the user to the first data analysis processing module through the first network module and the second network module. The first data analysis processing module stores the user learning information to the first management storage module.
3. And the first processor calls the number of the stored content in the first storage module after the user enters the learning page, and feeds the number of the stored content back to the first data analysis processing module through the first network module and the second network module. The first data analysis processing module calls the serial number of the storage content of the first management storage module to perform analysis and judgment.
If the number x of the content stored in the first storage module is lower than the number y of the content stored in the first management storage module (namely x < y), the first data analysis processing module feeds the result back to the first processor through the first network module and the second network module, and calls the content stored in the first management storage module to update the content stored in the first storage module. And the first processor receives the feedback result and sends a request to update the storage content in the first storage module.
And if the number x of the storage content in the first storage module is equal to the number y of the storage content in the first management storage module (namely x is y), the first data analysis processing module feeds back the result to the first processor through the first network module and the second network module. And the first processor receives the feedback result and calls the content stored in the first storage module to start learning.
The first processor provides the first storage module with the storage content (including various learning materials such as videos, voices, characters, pictures and the like) for the user to learn through the first display and the first loudspeaker.
The user selects the training chapters in the first storage module through the first input module, enters the corresponding chapters, and learns through the first display and the first loudspeaker.
4. After the user learns the corresponding chapters, the first processor calls the test interface in the first storage module, and the user selects whether to enter evaluation or not through the first input module. If the user selects to enter the evaluation, the first processor calls the evaluation content in the first storage module, the evaluation content is fed back to the user through the first display and the first loudspeaker, and the user inputs the evaluation content through the first input module to carry out the test. And after the test is finished, the first processor calls the standard answers in the first storage module to perform analysis processing, and scores the result. The first processor feeds back the scoring result to the user through the first display and the loudspeaker, and calls the standard answer in the first storage module to feed back the scoring result to the user through the first display and the first loudspeaker, so that the user can know where the user makes mistakes.
The first processor transmits the result of the user evaluation to the first data analysis processing module through the first network module and the second network module. The first data analysis processing module stores the result in the first management storage module. And the statistical analysis is convenient for the background.
The first processor stores the result of the user evaluation in the first storage module, so that the user can conveniently inquire the result.
After the evaluation is finished, the first processor calls an evaluation finishing selection page in the first storage module, so that a user can select whether to enter the next chapter of learning or finish the learning through the first input module.
5. After all chapters are completely learned and the answer is qualified, the first processor calls the first storage module to complete learning and feed back the concurrent virtual certificate to the user through the first display and the first loudspeaker. The first processor transmits the score of the user to the first management storage module for storage through the first network module and the second network module.
The first memory calls a learning ending interface in the first memory module, and the user selects to end on-line learning through the first input module.
B) In-line mode
FIG. 4 is a schematic structural diagram A of an offline training subsystem according to embodiment 2 of the present invention; fig. 5 is a schematic structural diagram B of the offline training subsystem according to embodiment 2 of the present invention. Referring to fig. 4-5, the offline training subsystem includes a second user side, a second management server side, a mannequin 7, a distance sensor 8, a flow sensor 9, a diffuse reflection sensor 10, a press sensor 11, a main frame 12, and the like. The second user end comprises a second storage module, a second processor, a second display, a second loudspeaker, a third network module and a second input module. The second management server end comprises a second management storage module, a second data analysis processing module and a fourth network module. The distance sensor 8 is arranged at the heart position of the human body model 7, the flow sensor 9 is arranged at the throat position of the human body model 7, the diffuse reflection sensor 10 is arranged on the main frame 12, and the pressing sensor 11 is arranged at the shoulder position (one for each of the left and right shoulders) of the human body model 7. The distance sensor 8, the flow sensor 9, the diffuse reflection sensor 10 and the press sensor 11 are all connected with the second management server side. The off-line training subsystem is specifically realized in the following process:
1. and the user enters a training registration and login page through the second user side. The second processor calls a register landing page in the second memory module.
The user inputs the biological information such as the name of the user to the second processor through the second input module. The second processor stores the information of the user in the second storage module, and transmits the information to the second data analysis processing module through the third network module and the fourth network module. The second data analysis processing module stores the information of the user into the second management storage module.
The user inputs the account number and the password of the user into the second processor through the second input module, and the second processor transmits the information of the user to the second data analysis processing module through the third network module and the fourth network module. The second data analysis processing module calls the user information in the second management storage module to perform analysis and judgment, and returns the result to the second processor through the fourth network module and the third network module.
And if the information input by the user is correct, the second processor calls the content in the second storage module to enter the learning environment.
And if the user output information is wrong, the second processor calls the second storage module to input the wrong information and inputs the wrong information again. The user needs to re-login or register.
2. And when the user enters the learning environment, the training chapters in the second storage module can be selected for learning through the second input module.
And after entering the learning page, the second processor feeds back the learning content in the second storage module to the user through the second display for the user to select. The user selects the contents in the storage module through the second input module and transmits the selection result to the second processor. The second processor calls the learning content in the second storage module to supply the learning of the user through the second display and the second loudspeaker, and simultaneously feeds back the learning information of the user to the second data analysis processing module through the third network module and the fourth network module. The second data analysis processing module stores the user learning information to the second management storage module.
And the second processor calls the number of the stored content in the second storage module after the user enters the learning page, and feeds the number of the stored content back to the second data analysis processing module through the third network module and the fourth network module. And the second data analysis processing module calls the serial number of the storage content of the second management storage module to perform analysis and judgment.
If the number x of the content stored in the second storage module is lower than the number y of the content stored in the second management storage module (namely x < y), the second data analysis processing module feeds the result back to the second processor through the fourth network module and the third network module, and calls the content stored in the second management storage module to update the content stored in the second storage module. And the second processor receives the feedback result and sends a request to update the storage content in the second storage module.
And if the number x of the storage content in the second storage module is equal to the number y of the storage content in the second management storage module (namely x is y), the second data analysis processing module feeds back the result to the second processor through the fourth network module and the third network module. And the second processor receives the feedback result and calls the content stored in the second storage module to start learning.
The second processor provides the second storage module with the storage content (comprising various learning materials such as videos, voices, characters, pictures and the like) for the user to learn through the second display and the second loudspeaker.
The user selects the training chapters in the storage module through the second input module, enters the corresponding chapters, and learns through the second display and the second loudspeaker.
3. After the user learns the corresponding chapters, the second processor calls the test interface in the second storage module, and the user selects whether to enter the evaluation through the second input module. And if the user selects to enter the evaluation, the second processor calls the evaluation content in the second storage module, the evaluation content is fed back to the user through the second display and the second loudspeaker, and the user inputs the evaluation content through the second input module to carry out the test. And after the test is finished, the second processor calls the standard answers in the second storage module to perform analysis processing, and scores the result. The second processor feeds back the scoring result to the user through the second display and the second loudspeaker, and calls the standard answer in the second storage module to feed back to the user through the second display and the second loudspeaker, so that the user can know where the user makes mistakes.
4. The user can select the actual operation chapter to perform the actual operation.
The user selects the actual operation module through the second input module, and the second processor calls the actual exercise content in the second storage module to enter the actual operation module. The second display and the second loudspeaker are fed back to the user for selection.
The user selects the subentry exercise through the second input module, and the selected content is transmitted to the second processor. And the second processor calls the corresponding learning content in the second storage module and feeds the learning content back to the second processor. The second processor feeds back the learning content to the user through the second display and the second loudspeaker.
The user selects the evaluation exercise through the second input module, and the selected content is transmitted to the second processor. And the second processor calls the corresponding learning content in the second storage module and feeds the learning content back to the second processor. The second processor feeds back the learning content to the user through the second display and the second loudspeaker.
The user presses the manikin chest according to the teaching video in the second display and the second speaker. The distance sensor transmits the detected pressing depth d to the second processor through the second input module. The second processor calls the storage distance (D) in the second storage module1,D2) And analyzing and judging, and transmitting the result to a second data analysis processing module through a third network module and a fourth network module. The second data analysis processing module stores the result in the second management storage module.
If d is<D1And the second processor calls the 'insufficient pressing' instruction in the second storage module and feeds back the instruction to the user through the second display and the second loudspeaker. If D is1≤d≤D2And the second processor calls a 'correct press' instruction in the second storage module and feeds back the instruction to the user through the second display and the second loudspeaker. If D ≧ D2And the second processor calls the 'press too deep' instruction in the second storage module and feeds back the instruction to the user through the second display and the second loudspeaker.
And blowing air into the human model port by the user according to the teaching video in the second display and the second loudspeaker. And the flow sensor in the human body model transmits the detected blowing-up flow data v to the second processor through the second input module. And the second processor calls the standard blow-up flow V in the second storage module, analyzes and judges the flow and transmits the result to the second data analysis processing module through the third network module and the network module. The second data analysis processing module stores the result in the second management storage module.
If V < V, the second processor calls "insufficient blowing" in the second storage module and feeds back to the user through the second display and the second loudspeaker. If V is larger than or equal to V, the second processor calls the 'blowing is correct' in the second storage module and feeds back the blowing to the user through the second display and the second loudspeaker.
And the user checks whether the surrounding environment of the human body model is safe or not according to the teaching video in the second display and the second loudspeaker (checking by extending two hands). And the diffuse reflection sensor in the main frame detects whether the two hands of the user stretch out or not to obtain signals 1 and 0, and the signals are transmitted to the second processor through the second input module. The second processor calls the environment safety inspection module in the second storage module to analyze and judge, and transmits the result to the second data analysis processing module through the third network module and the fourth network module. The second data analysis processing module stores the result in the second management storage module.
The user presses the manikin shoulder according to the teaching video in the second display and the second speaker. And a compression sensor in the human body model transmits the detected compression depth g to the second processor through the second input module. And the second processor calls the standard pressing depth G in the second storage module for analysis and judgment, and transmits the result to the second data analysis and processing module through the third network module and the fourth network module. The second data analysis processing module stores the result in the second management storage module.
If G < G, the second processor calls "not checked for unconsciousness" in the second memory module and feeds back to the user through the second display and the second speaker. If G is larger than or equal to G, the second processor calls the ' unconsciousness checked ' in the second storage module and feeds back the unconsciousness checked ' to the user through the second display and the second loudspeaker.
5. After the exercise is finished, the user can evaluate and detect the learning effect.
The user selects the actual evaluation module (identification module) through the second input module, and the second processor calls the actual evaluation content in the second storage module to enter the actual evaluation module. The second display and the second loudspeaker are fed back to the user for selection.
The user selects the item evaluation through the second input module and transmits the selected content to the second processor. And the second processor calls the corresponding evaluation content in the second storage module and feeds the evaluation content back to the second processor. And the second processor feeds the evaluation content back to the user through the second display and the second loudspeaker, so that the user is ready to begin evaluation.
The user presses the manikin chest according to the teaching video in the second display and the second speaker. Distance sensorAnd transmitting the detected pressing depth d to the second processor through the second input module. The second processor calls the storage distance (D) in the second storage module1,D2) And analyzing and judging, and transmitting the result to a second data analysis processing module through a third network module and a fourth network module. The second data analysis processing module stores the result in the second management storage module.
If d is<D1And the second processor calls the 'insufficient pressing' instruction in the second storage module and feeds back the instruction to the user through the second display and the second loudspeaker. If D is1≤d≤D2And the second processor calls a 'correct press' instruction in the second storage module and feeds back the instruction to the user through the second display and the second loudspeaker. If D ≧ D2And the second processor calls the 'press too deep' instruction in the second storage module and feeds back the instruction to the user through the second display and the second loudspeaker.
The user presses correctly for 2 minutes once, 30 times, and 60 full points. Insufficient compression and excessive compression were 0 min. The second processor processes the obtained scores and stores the scores into the second storage module. Meanwhile, the second processor transmits the data to the second data analysis processing module through the third network module and the fourth network module. The second data analysis processing module stores the result in the second management storage module.
And blowing air into the human model port by the user according to the teaching video in the second display and the second loudspeaker. And the flow sensor in the human body model transmits the detected blowing flow data v to the second processor through the second input module. And the second processor calls the standard air flow V in the second storage module to analyze and judge, and transmits the result to the second data analysis processing module through the third network module and the fourth network module. The second data analysis processing module stores the result in the second management storage module.
If V < V, the second processor calls "insufficient blowing" in the second storage module and feeds back to the user through the second display and the second loudspeaker. If V is larger than or equal to V, the second processor calls the 'blowing is correct' in the second storage module and feeds back the blowing to the user through the second display and the second loudspeaker.
The user blows 10 minutes at the right time and blows 20 minutes at the full time. Blowing is less than 0 point. The second processor processes the obtained scores and stores the scores into the second storage module. Meanwhile, the second processor transmits the data to the second data analysis processing module through the third network module and the network module. The second data analysis processing module stores the result in the second management storage module.
And the user checks whether the surrounding environment of the human body model is safe or not according to the teaching video in the second display and the second loudspeaker. And the diffuse reflection sensor in the main frame detects whether the two hands of the user stretch out or not to obtain signals 1 and 0, and the signals are transmitted to the second processor through the second input module. The second processor calls the environment safety inspection module in the second storage module to analyze and judge, and transmits the result to the second data analysis processing module through the third network module and the network module. The second data analysis processing module stores the result in the second management storage module.
The user correctly checks the safety of the surrounding environment for 10 points, checks for 1 time and fully checks for 10 points. The error check is scored as 0, and the second processor processes the scored score and stores the processed score in the second storage module. Meanwhile, the second processor transmits the data to the second data analysis processing module through the third network module and the network module. The second data analysis processing module stores the result in the second management storage module.
The user presses the manikin shoulder according to the teaching video in the second display and the second speaker. And a compression sensor in the human body model transmits the detected compression depth g to the second processor through the second input module. And the second processor calls the standard pressing depth G in the second storage module, analyzes and judges the standard pressing depth G, and transmits the result to the second data analysis processing module through the third network module and the fourth network module. The second data analysis processing module stores the result in the second management storage module.
If G < G, the second processor calls "not checked for unconsciousness" in the second memory module and feeds back to the user through the second display and the second speaker. If G is larger than or equal to G, the second processor calls the ' unconsciousness checked ' in the second storage module and feeds back the unconsciousness checked ' to the user through the second display and the second loudspeaker.
The user correctly presses the manikin for 5 minutes once, twice, and 10 minutes full. The wrong pressing is scored as 0, and the second processor processes the score and stores the score in the second storage module. Meanwhile, the second processor transmits the data to the second data analysis processing module through the third network module and the fourth network module. The second data analysis processing module stores the result in the second management storage module.
The user may also perform a composite evaluation in which the second processor adds the scores for checking the safety of the surroundings (with both hands extended), pressing the shoulders of the manikin, blowing and pressing the chest, etc. to obtain a score k.
The second processor calls the 'comprehensive score' in the second storage module and feeds back the score k to the user through the second display and the second loudspeaker. If the score k is greater than or equal to 60, the second processor uses the virtual certificate in the second storage module and issues a virtual training certificate.
The second processor feeds the 'comprehensive score' back to the second data analysis processing module through the third network module and the fourth network module, and the second data analysis processing module stores the 'comprehensive score' in the second management storage module.
The online and offline first aid teaching and training system in the embodiment has the following advantages:
1) the teaching is comprehensive: theoretical learning is combined with actual operation, learning and examination are matched, and online and offline linkage is realized.
2) The teaching is convenient and easy to popularize: the APP or the WeChat public account of the online mobile phone or any terminal can learn.
3) The teaching effect is good: the accuracy of the practice or self-test action is realized by adopting a biological model or a structural model offline, and the accuracy of the online self-test learning can be timely corrected.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to assist understanding of the system and its core concepts; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. The utility model provides an online off-line first aid teaching training system which characterized in that includes: an online training subsystem and an offline training subsystem;
the online training subsystem comprises: the system comprises a first user terminal and a first management server terminal connected with the first user terminal; the first user side comprises a first training selection module, a first processor, a first learning module and a testing module; the first processor is respectively connected with the first training selection module and the first learning module; the test module is connected with the first learning module; the first training selection module is used for selecting a training section; the first processor is used for calling the training section and sending the training section to the first learning module; the first learning module is used for learning the content of the training chapters to obtain a learning result; the content of the training chapters comprises videos, voice, characters and icons; the test module is used for testing the trainee corresponding to the training chapters according to the learning result to obtain a test result; the first management server side is used for receiving the learning result, the test result and the number of the training section;
the offline training subsystem comprises: the system comprises a second user terminal and a second management server terminal connected with the second user terminal; the second user end comprises an actual operation module and an identification module; the actual operation module is used for acquiring chest compression depth data, blowing flow data, double-hand stretching detection data and shoulder compression depth data measured by the sensor, comparing the data with corresponding preset standard data respectively, and sending a prompt instruction to feed back to a trainee; the identification module is used for obtaining a training evaluation result according to the prompt instruction; and the second management server is used for receiving the training evaluation result.
2. The online offline first aid teaching and training system as claimed in claim 1, wherein said second user end further comprises: the training selection module, the second processor and the second learning module;
the second processor is respectively connected with the second training selection module and the second learning module; the second training selection module is used for selecting chapters to be trained; the second processor is used for calling the section to be trained and sending the section to be trained to the second learning module; the second learning module is used for learning the content of the chapters to be trained.
3. The online offline first aid instructional training system of claim 1, wherein said first user end further comprises: a first storage module connected with the first processor; the first storage module is used for storing the contents of all training chapters and the numbers corresponding to all the training chapters.
4. The on-line and off-line first aid teaching and training system as claimed in claim 1, wherein the first management server comprises a first data analysis and processing module and a first management storage module connected with the first data analysis and processing module;
the first data analysis processing module is used for receiving the learning result, the test result and the number of the training section; the first management storage module is used for storing the learning result, the test result and the number of the learned training section.
5. The on-line and off-line first aid teaching and training system of claim 4, wherein the first user terminal further comprises a first input module;
the first input module is respectively connected with the first processor and the first data analysis processing module; the first input module is used for inputting personal information of a trainee; the first management storage module is also used for storing the personal information.
6. The on-line and off-line first aid teaching and training system of claim 5, wherein the first client further comprises a first network module; the first management server end also comprises a second network module;
the first network module is used for transmitting the learning result, the test result, the number of the learned training section and the personal information to the first data analysis processing module through the second network module.
7. The on-line and off-line first aid teaching and training system of claim 1, wherein the first learning module comprises a first display and a first speaker;
the first display and the first loudspeaker are both connected with the first processor; the first display is used for displaying videos, texts and icons in the content of the training chapters; the first speaker is used for emitting voice in the content of the training chapters.
8. The on-line and off-line first aid teaching and training system of claim 4, wherein the first user terminal further comprises a first update module; the first updating module is respectively connected with the first processor and the first management storage module;
the first updating module is used for comparing the number of the section needing training at the current moment with the number of the learned section, if the number of the section needing training at the current moment is smaller than the number of the learned section, the content of the section needing training at the current moment is updated, and if not, the content is not updated.
9. The on-line and off-line first aid teaching and training system of claim 2, wherein the second user end further comprises: a second storage module connected with the second processor; the second storage module is used for storing the contents of all training chapters and the numbers corresponding to all the training chapters.
10. The online and offline first aid teaching and training system as claimed in claim 2, wherein the second management server comprises a second data analysis processing module and a second management storage module connected to the second data analysis processing module;
the second data analysis processing module is used for receiving the learning result, the training evaluation result and the number of the section to be trained which are sent by the second learning module; the second management storage module is used for storing the learning result, the training evaluation result and the number of the learned training section sent by the second learning module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910839496.4A CN110766998A (en) | 2019-09-06 | 2019-09-06 | Online and offline first aid teaching and training system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910839496.4A CN110766998A (en) | 2019-09-06 | 2019-09-06 | Online and offline first aid teaching and training system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110766998A true CN110766998A (en) | 2020-02-07 |
Family
ID=69330182
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910839496.4A Pending CN110766998A (en) | 2019-09-06 | 2019-09-06 | Online and offline first aid teaching and training system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110766998A (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201336099Y (en) * | 2009-01-23 | 2009-10-28 | 北京医模科技有限公司 | Simulated first aid training device |
| CN103106830A (en) * | 2013-02-06 | 2013-05-15 | 中国人民解放军第四军医大学 | System and method of digitalized emergency skill simulated training |
| CN108074354A (en) * | 2017-12-12 | 2018-05-25 | 辰辰帮帮(北京)科技有限公司 | A kind of intelligence first aid station control system and control method |
| CN108091195A (en) * | 2017-12-25 | 2018-05-29 | 重庆满荣网络技术有限公司 | Intelligent clearance examination system |
| CN109345891A (en) * | 2018-09-06 | 2019-02-15 | 安徽华荣远诚实业集团有限公司 | A kind of training system and its Training Methodology based on training of human resource |
| CN109491799A (en) * | 2017-09-11 | 2019-03-19 | 上海颐为网络科技有限公司 | A kind of the study prompt system and method for the structure of knowledge |
| CN109978359A (en) * | 2019-03-18 | 2019-07-05 | 重庆替比网络科技有限公司 | A kind of vocational training system, method and business model |
| CN110085061A (en) * | 2019-05-14 | 2019-08-02 | 韩钦德 | A kind of knowledge learning system and its application method |
| CN110120165A (en) * | 2019-04-11 | 2019-08-13 | 成都盛特石油装备模拟技术股份有限公司 | Drilling well emergency drilling simulation system |
-
2019
- 2019-09-06 CN CN201910839496.4A patent/CN110766998A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201336099Y (en) * | 2009-01-23 | 2009-10-28 | 北京医模科技有限公司 | Simulated first aid training device |
| CN103106830A (en) * | 2013-02-06 | 2013-05-15 | 中国人民解放军第四军医大学 | System and method of digitalized emergency skill simulated training |
| CN109491799A (en) * | 2017-09-11 | 2019-03-19 | 上海颐为网络科技有限公司 | A kind of the study prompt system and method for the structure of knowledge |
| CN108074354A (en) * | 2017-12-12 | 2018-05-25 | 辰辰帮帮(北京)科技有限公司 | A kind of intelligence first aid station control system and control method |
| CN108091195A (en) * | 2017-12-25 | 2018-05-29 | 重庆满荣网络技术有限公司 | Intelligent clearance examination system |
| CN109345891A (en) * | 2018-09-06 | 2019-02-15 | 安徽华荣远诚实业集团有限公司 | A kind of training system and its Training Methodology based on training of human resource |
| CN109978359A (en) * | 2019-03-18 | 2019-07-05 | 重庆替比网络科技有限公司 | A kind of vocational training system, method and business model |
| CN110120165A (en) * | 2019-04-11 | 2019-08-13 | 成都盛特石油装备模拟技术股份有限公司 | Drilling well emergency drilling simulation system |
| CN110085061A (en) * | 2019-05-14 | 2019-08-02 | 韩钦德 | A kind of knowledge learning system and its application method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107203953B (en) | Teaching system based on internet, expression recognition and voice recognition and implementation method thereof | |
| KR101401722B1 (en) | Individual order type online learning system | |
| CN111796752B (en) | Interactive teaching system based on PC | |
| US20140272908A1 (en) | Dynamic learning system and method | |
| CN105532014B (en) | Information processing apparatus, information processing method, and program | |
| CN107067853A (en) | A kind of network online interaction langue leaning system | |
| KR20190066395A (en) | The System for Providing and Evaluating an Examination Using Single Output Device for Examination Question and Examinee’s Terminal | |
| CN114841841A (en) | Intelligent education platform interaction system and interaction method for teaching interaction | |
| KR20150112193A (en) | Smart school system based on interactive educational solution and method thereof | |
| CN108648536A (en) | A kind of distance education and training system | |
| KR20070087839A (en) | E-class management system and evaluation method for grade | |
| CN109754653A (en) | A kind of method and system of individualized teaching | |
| CN107958500A (en) | A kind of monitoring system for real border real time information sampling of imparting knowledge to students | |
| KR20120006154A (en) | 3-d image education system and method | |
| KR101160414B1 (en) | Study system and method for foreign language | |
| JP2018124583A (en) | Portable information processing device, test assistance system, and test assistance method | |
| CN110390614B (en) | Method and system for immersive teaching based on emotion monitoring and real-time interaction | |
| CN110766998A (en) | Online and offline first aid teaching and training system | |
| JP2015025873A (en) | Information processing device, information processing method, and program | |
| CN113257100B (en) | Remote ultrasonic teaching system | |
| CN114693075A (en) | Employment guidance system and device applied to employment prospect analysis function | |
| JP7427906B2 (en) | Information processing device, control method and program | |
| CN112799566A (en) | Intelligent learning interaction method, equipment and storage medium | |
| JP2003066820A (en) | Communication correction system, terminal device, and storage medium | |
| CN117912317A (en) | Mandarin speech and short video guide auxiliary learning system |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200207 |
|
| RJ01 | Rejection of invention patent application after publication |