CN113055697A - Online education live broadcast system and method based on cloud computing and big data technology - Google Patents
Online education live broadcast system and method based on cloud computing and big data technology Download PDFInfo
- Publication number
- CN113055697A CN113055697A CN202110211224.7A CN202110211224A CN113055697A CN 113055697 A CN113055697 A CN 113055697A CN 202110211224 A CN202110211224 A CN 202110211224A CN 113055697 A CN113055697 A CN 113055697A
- Authority
- CN
- China
- Prior art keywords
- information
- teacher
- live broadcast
- question
- question information
- 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.)
- Withdrawn
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
-
- 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
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/231—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
- H04N21/23113—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion involving housekeeping operations for stored content, e.g. prioritizing content for deletion because of storage space restrictions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/414—Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
- H04N21/41407—Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance embedded in a portable device, e.g. video client on a mobile phone, PDA, laptop
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/433—Content storage operation, e.g. storage operation in response to a pause request, caching operations
- H04N21/4335—Housekeeping operations, e.g. prioritizing content for deletion because of storage space restrictions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
- H04N21/4788—Supplemental services, e.g. displaying phone caller identification, shopping application communicating with other users, e.g. chatting
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/488—Data services, e.g. news ticker
- H04N21/4884—Data services, e.g. news ticker for displaying subtitles
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- General Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Electrically Operated Instructional Devices (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides an online education live broadcast system and method based on cloud computing and big data technology, which specifically comprise the following steps: acquiring interactive information provided by students in a live broadcast learning process, and extracting effective question information from the interactive information; s2, carrying out cloud computing and big data processing on the effective question information, and transmitting the processed question information to a teacher for display; and if the teacher replies to the processed questioning information, clearing the questioning information which is completely replied until all the questioning information is replied. In the live broadcast learning process, the interactive information of the students is processed based on the cloud computing and big data technology, so that the teachers can conveniently reply the processed questioning information, the confusion of the students is conveniently solved, and the teaching quality of the live broadcast learning is improved.
Description
Technical Field
The invention relates to a live broadcast education technology, in particular to an online education live broadcast system and method based on cloud computing and a big data technology.
Background
Online education is also called remote education or online learning, and refers to an education mode that teachers upload teaching videos or teaching resources to a server in a live broadcast or recorded broadcast mode, and then students play on demand or watch in real time through clients. The education mode of online education can not only break through the limitations of time and space, but also improve the learning efficiency; and the unequal distribution of the education resources caused by the aspects of regions and the like can be crossed, so that the education resources are shared, and the learning threshold is reduced. Because online education has the advantages, online education is recognized by more and more teachers and students.
The student can send out comment or barrage and to the teacher problem of proposing in live study process, can propose repeated problem, if student's a great deal, the comment or barrage of sending are more, and the teacher then can't reply the whole problems that the student proposed, can't improve the quality of teaching.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an online education live broadcast system and method based on cloud computing and big data technology, and solves the problems that the number of students is large, the number of sent comments or barrage is large, teachers cannot answer all the problems proposed by the students, and the teaching quality cannot be improved.
In order to achieve the purpose, the invention adopts the following specific technical scheme:
an online education live broadcast system based on cloud computing and big data technology comprises a multi-platform user terminal, a communication network, an online education live broadcast platform and a server group, wherein the multi-platform user terminal interacts data with the online education live broadcast platform and the server group through the communication network, the multi-platform user terminal comprises a teacher terminal, a student terminal and a management terminal which support multi-platform access, the server group comprises a streaming media server, a relay server, a forwarding server, an application server and a data server, the streaming media server and the data server acquire streaming media data of online education from the teacher terminal, and the streaming media data are encoded and sub-packaged; the relay server acquires processed streaming media data from the streaming media server and transmits the processed streaming media data to the forwarding server, the forwarding server sends the received streaming media data to the student terminals in the form of an index file and a TS (transport stream) file, the student terminals decode and play the streaming media data, the student terminals are further used for sending multimedia interactive information, and the application server is used for supporting the online education live broadcast platform, acquiring the multimedia interactive information, processing the multimedia interactive information and sending the multimedia interactive information to the teacher terminal for displaying;
the online education live broadcast platform comprises a front-end processing unit and a functional unit, wherein the front-end processing unit comprises a security detection module, an identity verification module and a load balance dynamic adjustment module, the security detection module is used for carrying out security detection on access requests of a teacher terminal, a student terminal and a management terminal, and the identity verification module is used for verifying user names and passwords of users of the teacher terminal, the student terminal and the management terminal; the load balancing dynamic adjusting module is used for cluster deployment load balancing; the functional unit comprises a system management module, a teacher functional module, a student functional module and an interaction management module, the system management module is used for realizing platform management and user management, the teacher functional module comprises a live teaching class submodule and an online examination management submodule, the student functional module comprises a live learning submodule and an online testing submodule, the interaction management module is used for acquiring interaction information of students in the live learning process, extracting effective questioning information from the interaction information, carrying out cloud computing and big data processing on the effective questioning information, transmitting the effective questioning information to the teacher after processing and displaying the effective questioning information, and clearing the questioning information which is finished to be responded after the teacher responds to the processed questioning information until all questioning information is responded.
Preferably, the communication network includes a mobile communication network and an internet of things network.
Preferably, the interaction management module is used for acquiring interaction information provided by students in a live broadcast learning process, extracting effective questioning information from the interaction information, performing cloud computing and big data processing on the effective questioning information, and transmitting the processed effective questioning information to a teacher for display, specifically referring to
The interactive management module is used for acquiring interactive information sent by students in the live broadcast learning process, classifying the interactive information into character information, expression information and digital information, and eliminating information irrelevant to live broadcast learning from the character information, so that effective character information is acquired, an intelligent manual processing model for counting the effective character information is established, the effective character information is input into the intelligent manual processing model, the repetition times of effective questioning information are output, and the interactive information is displayed at a teacher terminal according to the repetition times.
Preferably, the step of the teacher replying the processed question information and then clearing the question information after the reply is completed until all the question information is replied is specifically referred to as the step of the teacher replying the processed question information
In the question answering process of live broadcast learning, a teacher answers and answers displayed question information, the displayed question information is manually deleted after answering is finished or the mobile terminal obtains answer voice of the teacher, keywords are extracted from the answer voice, the keywords are matched with the question information, and the corresponding question information is automatically deleted after matching is successful until all the question information is answered.
An online education live broadcast method based on cloud computing and big data technology specifically comprises the following steps:
s1, acquiring interactive information provided by students in the live broadcast learning process, and extracting effective question information from the interactive information;
s2, carrying out cloud computing and big data processing on the effective question information, and transmitting the processed question information to a teacher for display;
and S3, if the teacher replies to the processed question information, clearing the question information which is replied until all the question information is replied.
Preferably, the step S1 of obtaining the interaction information provided by the student in the live broadcast learning process, and the step of extracting effective question information from the interaction information specifically includes the following steps
The method comprises the steps of obtaining interactive information sent by students in the live broadcast learning process, classifying the interactive information into character information, expression information and digital information, and removing information irrelevant to the live broadcast learning from the character information so as to obtain effective character information.
Preferably, the step S2 of performing cloud computing and big data processing on the effective question information, and transmitting the processed question information to a teacher for display specifically includes the following steps
And establishing an intelligent manual processing model for counting the effective text information, inputting the effective text information into the intelligent manual processing model, outputting the repetition times of the effective question information, and displaying the repetition times at the teacher terminal.
Preferably, if the teacher replies to the processed question information in step S3, the step of clearing the answered question information until all the question information is replied includes the following steps
In the question answering process of live broadcast learning, a teacher answers and answers displayed question information, the displayed question information is manually deleted after answering is finished or the mobile terminal obtains answer voice of the teacher, keywords are extracted from the answer voice, the keywords are matched with the question information, and the corresponding question information is automatically deleted after matching is successful until all the question information is answered.
The invention has the beneficial effects that: in the live broadcast learning process, interactive information of students is processed based on cloud computing and big data technology, so that teachers can conveniently reply to the processed questioning information, the problem of the students is solved conveniently, and the teaching quality of the live broadcast learning is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an online education live broadcast system based on cloud computing and big data technology provided by an embodiment of the invention;
fig. 2 is a flowchart of an online education live broadcast method based on cloud computing and big data technology according to an embodiment of the present invention.
In the figure, 1-multi-platform user terminal, 101-teacher terminal, 102-student terminal, 103-management terminal, 2-communication network, 3-online education live platform, 4-server group, 401-streaming media server, 402-relay server, 403-forwarding server, 404-application server and 405-data server.
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. Other embodiments, which can be derived by one of ordinary skill in the art from the embodiments given herein without any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "vertical", "upper", "lower", "horizontal", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
As shown in fig. 1, the present invention provides an online education live broadcast system based on cloud computing and big data technology, including a multi-platform user terminal 1, a communication network 2, an online education live broadcast platform 3 and a server group 4, where the multi-platform user terminal 1 interacts data with the online education live broadcast platform 3 and the server group 4 through the communication network 2, the multi-platform user terminal 1 includes a teacher terminal 101, a student terminal 102 and a management terminal 103 supporting multi-platform access, the server group 4 includes a streaming media server 401, a relay server 402, a forwarding server 403, an application server 404 and a data server 405, and the streaming media server 401 and the data server 405 acquire streaming media data of online education from the teacher terminal 101, encode and packetize the streaming media data; the relay server 402 acquires the processed streaming media data from the streaming media server 401 and transmits the processed streaming media data to the forwarding server 403, the forwarding server 403 sends the received streaming media data to the student terminals 102 in the form of an index file and a TS file, the student terminals 102 decode and play the streaming media data, the student terminals 102 are further used for sending multimedia interactive information, the application server 404 is used for supporting the online education live platform 3, acquiring the multimedia interactive information, processing the multimedia interactive information and sending the multimedia interactive information to the teacher terminal 101 for displaying;
the online education live broadcast platform 3 comprises a front-end processing unit and a functional unit, wherein the front-end processing unit comprises a security detection module, an identity verification module and a load balance dynamic adjustment module, the security detection module is used for carrying out security detection on access requests of the teacher terminal 101, the student terminals 102 and the management terminal 103, and the identity verification module is used for verifying user names and passwords of users of the teacher terminal 101, the student terminals 102 and the management terminal 103; the load balancing dynamic adjusting module is used for cluster deployment load balancing; the function unit comprises a system management module, a teacher function module, a student function module and an interactive management module, the system management module is used for realizing platform management and user management, the teacher function module comprises a live-broadcast teaching class submodule and an online examination management submodule, the student function module comprises a live-broadcast learning submodule and an online test submodule, the interactive management module is used for acquiring interactive information provided by students in the live-broadcast learning process, effective questioning information is extracted from the interactive information, cloud computing and big data processing are carried out on the effective questioning information, the processed questioning information is transmitted to the teacher for display, and the questioning information which is finished to be responded is cleared after the teacher responds to the processed questioning information until all questioning information is completely responded.
The live broadcast teaching submodule is used for setting audio acquisition parameters (compression type, sampling frequency, single-point bit depth, sound channel number and the like) and video acquisition parameters (acquisition source, size, color depth, acquisition frame rate, compression format and the like), setting a function entry according to the audio acquisition parameters and the video acquisition parameters, calling a function from the function entry, and simultaneously transmitting acquired data serving as parameters to the function. The video encoder performs motion image compression on the collected video frames to reduce the data volume transmitted by the network, and the audio encoder can adopt Nellymoser coding. Meanwhile, the live broadcast teaching submodule performs data transmission flow control on the relay server 402 and the forwarding server 403. The data receiving ends such as the relay server 402, the forwarding server 403 and the student terminal receive all data by using one port, a buffer area with a self-adaptive size is opened for the index file and the TS file, the number of the buffer areas is reduced if the network is smooth (almost no packet loss phenomenon), and the number of the buffer areas is increased if the network is unstable (the packet loss phenomenon is increased).
The relay server 402 is further configured to solve the optimal transmission rate of each forwarding server according to audio acquisition parameters (compression type, sampling frequency, single-point bit depth, number of channels, etc.), video acquisition parameters (acquisition source, size, color depth, acquisition frame rate, compression format, etc.), network transmission coding and transmission energy parameters, with the maximum survival time of the network as an optimization target when total energy of the network and video quality based on peak signal-to-noise ratio are given, and finally achieve the purpose of reducing energy consumption.
Preferably, the communication network 2 includes a mobile communication network and an internet of things network, the mobile communication network includes a 4G communication network and a 5G communication network, and the internet of things network includes a WiFi communication network and an ethernet communication network.
Preferably, the interaction management module is used for acquiring interaction information provided by students in a live broadcast learning process, extracting effective questioning information from the interaction information, performing cloud computing and big data processing on the effective questioning information, and transmitting the processed effective questioning information to the teacher for display, specifically referring to
The interactive management module is used for acquiring interactive information sent by students in the live broadcast learning process, classifying the interactive information into character information, expression information and digital information, and removing information irrelevant to live broadcast learning from the character information, so that effective character information is acquired, an intelligent manual processing model for counting the effective character information is established, the effective character information is input into the intelligent manual processing model, the repetition times of effective questioning information are output, and the interactive information is displayed at the teacher terminal 101 according to the repetition times.
Preferably, the step of the teacher replying the processed question information and then clearing the question information after the reply is completed until all the question information is replied is specifically referred to as the step of the teacher replying the processed question information
In the question answering process of live broadcast learning, a teacher answers and answers displayed question information, the displayed question information is manually deleted after answering is finished or the mobile terminal obtains answer voice of the teacher, keywords are extracted from the answer voice, the keywords are matched with the question information, and the corresponding question information is automatically deleted after matching is successful until all the question information is answered.
Specifically, in the implementation process, the student can send the problem of oneself or the knowledge point of not understanding through the mode of barrage or comment at mr teaching in-process, in time mark study understanding progress, wait to give lessons to finish or a certain knowledge point explains the back that finishes, the teacher can be pointed to repeated teaching in order to reach the purpose that improves the teaching quality through looking over barrage or comment that the student sent in certain period of time, have sufficient time to carry out automatic arrangement to the barrage or the comment that the student sent in addition.
In another embodiment, if a teacher arranges homework or questions to students through the teacher end, then the teacher end sends correct answers to the system, the students can also answer the questions provided by the teacher through barrage or comments, the system automatically collects the answers of the students and matches and compares the answers with the correct answers, the number of correct answers of the students is counted, the correct rate of the questions answered by the students is automatically judged, the system can also score each student according to a certain evaluation coefficient according to the barrage or the comments sent by the students and the correct rate of the answers of the students, and the scores are used as side factors of the learning results of the students. In the implementation process, the display screen of the student end only displays the bullet screen or the comment of the student end.
In addition, the online education live broadcast platform 3 can also perform backup processing on the acquired audio and video data, convert the audio data into characters and add the characters into the video, so that students can further understand the words spoken by the teacher in the course of teaching when reviewing, and send the words to the teacher end for confirmation after adding, and the words are released after confirmation by the teacher.
In the implementation process, the RTMP server based on Nginx is used as a streaming media server. The main work task of the relay server is to pull the streaming media from the video source server to the local for the next step of forwarding. The main purpose of adopting the separation of the relay server and the forwarding server is to prevent that when the system access amount is too high, a single server needs to execute tasks such as pulling a video stream and forwarding a video from the originating server at the same time, which will cause too high load in the live broadcast system and a video source server and influence the live broadcast effect.
As shown in fig. 2, the invention further provides an online education live broadcast method based on cloud computing and big data technology, which specifically comprises the following steps:
s1, acquiring interactive information provided by students in the live broadcast learning process, and extracting effective question information from the interactive information;
s2, carrying out cloud computing and big data processing on the effective question information, and transmitting the processed question information to a teacher for display;
and S3, if the teacher replies to the processed question information, clearing the question information which is replied until all the question information is replied.
Preferably, the step S1 of obtaining the interaction information provided by the student in the live broadcast learning process, and the step of extracting effective question information from the interaction information specifically includes the following steps
The method comprises the steps of obtaining interactive information sent by students in the live broadcast learning process, classifying the interactive information into character information, expression information and digital information, and removing information irrelevant to the live broadcast learning from the character information so as to obtain effective character information.
Preferably, the step S2 of performing cloud computing and big data processing on the effective question information, and transmitting the processed question information to a teacher for display specifically includes the following steps
And establishing an intelligent manual processing model for counting the effective text information, inputting the effective text information into the intelligent manual processing model, outputting the repetition times of the effective question information, and displaying the repetition times at the teacher terminal.
Preferably, if the teacher replies to the processed question information in step S3, the step of clearing the answered question information until all the question information is replied includes the following steps
In the question answering process of live broadcast learning, a teacher answers and answers displayed question information, the displayed question information is manually deleted after answering is finished or the mobile terminal obtains answer voice of the teacher, keywords are extracted from the answer voice, the keywords are matched with the question information, and the corresponding question information is automatically deleted after matching is successful until all the question information is answered.
Specifically, in the implementation process, the student can send the problem of oneself or the knowledge point of not understanding through the mode of barrage or comment at mr teaching in-process, in time mark study understanding progress, wait to give lessons to finish or a certain knowledge point explains the back that finishes, the teacher can be pointed to repeated teaching in order to reach the purpose that improves the teaching quality through looking over barrage or comment that the student sent in certain period of time, have sufficient time to carry out automatic arrangement to the barrage or the comment that the student sent in addition.
In another embodiment, if a teacher arranges homework or questions to students through the teacher end, then the teacher end sends correct answers to the system, the students can also answer the questions provided by the teacher through barrage or comments, the system automatically collects the answers of the students and matches and compares the answers with the correct answers, the number of correct answers of the students is counted, the correct rate of the questions answered by the students is automatically judged, the system can also score each student according to a certain evaluation coefficient according to the barrage or the comments sent by the students and the correct rate of the answers of the students, and the scores are used as side factors of the learning results of the students. In the implementation process, the display screen of the student end only displays the bullet screen or the comment of the student end.
In addition, the acquired audio and video data can be backed up, and simultaneously the audio data is converted into characters and added into the video, so that students can further understand the words spoken by the teacher in the teaching process when reviewing, and the words are sent to a teacher end for confirmation after the addition is completed and then are issued after the confirmation by the teacher.
The invention has the beneficial effects that: in the live broadcast learning process, interactive information of students is processed based on cloud computing and big data technology, so that teachers can conveniently reply to the processed questioning information, the problem of the students is solved conveniently, and the teaching quality of the live broadcast learning is improved.
In light of the foregoing description of the preferred embodiments of the present invention, those skilled in the art can now make various alterations and modifications without departing from the scope of the invention. The technical scope of the present invention is not limited to the contents of the specification, and must be determined according to the scope of the claims.
Claims (8)
1. An online education live broadcast system based on cloud computing and big data technology comprises a multi-platform user terminal, a communication network, an online education live broadcast platform and a server group, wherein the multi-platform user terminal interacts data with the online education live broadcast platform and the server group through the communication network, and comprises a teacher terminal, a student terminal and a management terminal which support multi-platform access; the relay server acquires processed streaming media data from the streaming media server and transmits the processed streaming media data to the forwarding server, the forwarding server sends the received streaming media data to the student terminals in the form of an index file and a TS (transport stream) file, the student terminals decode and play the streaming media data, the student terminals are further used for sending multimedia interactive information, and the application server is used for supporting the online education live broadcast platform, acquiring the multimedia interactive information, processing the multimedia interactive information and sending the multimedia interactive information to the teacher terminal for displaying;
the online education live broadcast platform comprises a front-end processing unit and a functional unit, wherein the front-end processing unit comprises a security detection module, an identity verification module and a load balance dynamic adjustment module, the security detection module is used for carrying out security detection on access requests of a teacher terminal, a student terminal and a management terminal, and the identity verification module is used for verifying user names and passwords of users of the teacher terminal, the student terminal and the management terminal; the load balancing dynamic adjusting module is used for cluster deployment load balancing; the functional unit comprises a system management module, a teacher functional module, a student functional module and an interaction management module, the system management module is used for realizing platform management and user management, the teacher functional module comprises a live teaching class submodule and an online examination management submodule, the student functional module comprises a live learning submodule and an online testing submodule, the interaction management module is used for acquiring interaction information of students in the live learning process, extracting effective questioning information from the interaction information, carrying out cloud computing and big data processing on the effective questioning information, transmitting the effective questioning information to the teacher after processing and displaying the effective questioning information, and clearing the questioning information which is finished to be responded after the teacher responds to the processed questioning information until all questioning information is responded.
2. The online education live broadcast system based on the cloud computing and the big data technology as claimed in claim 1, wherein the communication network includes a mobile communication network and an internet of things network.
3. The online education live broadcast system based on the cloud computing and big data technology as claimed in claim 1, wherein the interaction management module is used for acquiring interaction information provided by students in a live broadcast learning process, extracting effective question information from the interaction information, performing cloud computing and big data processing on the effective question information, and transmitting the processed question information to a teacher for display specifically means that
The interactive management module is used for acquiring interactive information sent by students in the live broadcast learning process, classifying the interactive information into character information, expression information and digital information, and eliminating information irrelevant to live broadcast learning from the character information, so that effective character information is acquired, an intelligent manual processing model for counting the effective character information is established, the effective character information is input into the intelligent manual processing model, the repetition times of effective questioning information are output, and the interactive information is displayed at a teacher terminal according to the repetition times.
4. The online education live broadcast system based on the cloud computing and big data technology as claimed in claim 3, wherein the step of the teacher replying the processed question information and then clearing the question information after the reply is completed until all the question information is replied specifically means that the teacher replies to the processed question information
In the question answering process of live broadcast learning, a teacher answers and answers displayed question information, the displayed question information is manually deleted after answering is finished or the mobile terminal obtains answer voice of the teacher, keywords are extracted from the answer voice, the keywords are matched with the question information, and the corresponding question information is automatically deleted after matching is successful until all the question information is answered.
5. An online education live broadcast method based on cloud computing and big data technology is characterized by comprising the following steps:
s1, acquiring interactive information provided by students in the live broadcast learning process, and extracting effective question information from the interactive information;
s2, carrying out cloud computing and big data processing on the effective question information, and transmitting the processed question information to a teacher for display;
and S3, if the teacher replies to the processed question information, clearing the question information which is replied until all the question information is replied.
6. The online education live broadcast method based on the cloud computing and big data technology as claimed in claim 5, wherein step S1 is to obtain interactive information provided by students in the live broadcast learning process, and the step of extracting effective question information from the interactive information includes the following steps
The method comprises the steps of obtaining interactive information sent by students in the live broadcast learning process, classifying the interactive information into character information, expression information and digital information, and removing information irrelevant to the live broadcast learning from the character information so as to obtain effective character information.
7. The live online education method based on the cloud computing and big data technology as claimed in claim 5 or 6, wherein the step S2 of performing cloud computing and big data processing on the effective question information, and transmitting the processed question information to a teacher for display specifically includes the following steps
And establishing an intelligent manual processing model for counting the effective text information, inputting the effective text information into the intelligent manual processing model, outputting the repetition times of the effective question information, and displaying the repetition times at the teacher terminal.
8. The live online education method based on the cloud computing and big data technology as claimed in claim 7, wherein step S3 is executed if the teacher replies to the processed question information, and the step of clearing the reply question information until all the question information is replied includes the following steps
In the question answering process of live broadcast learning, a teacher answers and answers displayed question information, the displayed question information is manually deleted after answering is finished or the mobile terminal obtains answer voice of the teacher, keywords are extracted from the answer voice, the keywords are matched with the question information, and the corresponding question information is automatically deleted after matching is successful until all the question information is answered.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110211224.7A CN113055697A (en) | 2021-02-25 | 2021-02-25 | Online education live broadcast system and method based on cloud computing and big data technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110211224.7A CN113055697A (en) | 2021-02-25 | 2021-02-25 | Online education live broadcast system and method based on cloud computing and big data technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113055697A true CN113055697A (en) | 2021-06-29 |
Family
ID=76509144
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110211224.7A Withdrawn CN113055697A (en) | 2021-02-25 | 2021-02-25 | Online education live broadcast system and method based on cloud computing and big data technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113055697A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113381927A (en) * | 2021-08-12 | 2021-09-10 | 环球数科集团有限公司 | Social media interaction method, system and storage medium based on travel information |
| CN114240709A (en) * | 2021-12-17 | 2022-03-25 | 浪潮软件科技有限公司 | Multi-platform-based online examination system and method |
| CN115174949A (en) * | 2022-06-30 | 2022-10-11 | 广州汇才创新科技有限公司 | Projection-based remote live broadcast interaction method and system |
| CN115209173A (en) * | 2022-07-14 | 2022-10-18 | 广州汇才创新科技有限公司 | Online education live broadcast system and method |
| CN116112746A (en) * | 2023-04-10 | 2023-05-12 | 成都有为财商教育科技有限公司 | Online education live video compression method and system |
| CN116112732A (en) * | 2023-04-12 | 2023-05-12 | 山东工程职业技术大学 | Artificial intelligence interaction method and system |
-
2021
- 2021-02-25 CN CN202110211224.7A patent/CN113055697A/en not_active Withdrawn
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113381927A (en) * | 2021-08-12 | 2021-09-10 | 环球数科集团有限公司 | Social media interaction method, system and storage medium based on travel information |
| CN113381927B (en) * | 2021-08-12 | 2021-11-02 | 环球数科集团有限公司 | Social media interaction method, system and storage medium based on travel information |
| CN114240709A (en) * | 2021-12-17 | 2022-03-25 | 浪潮软件科技有限公司 | Multi-platform-based online examination system and method |
| CN115174949A (en) * | 2022-06-30 | 2022-10-11 | 广州汇才创新科技有限公司 | Projection-based remote live broadcast interaction method and system |
| CN115174949B (en) * | 2022-06-30 | 2024-02-23 | 广州汇才创新科技有限公司 | Remote live broadcast interaction method and system based on projection |
| CN115209173A (en) * | 2022-07-14 | 2022-10-18 | 广州汇才创新科技有限公司 | Online education live broadcast system and method |
| CN116112746A (en) * | 2023-04-10 | 2023-05-12 | 成都有为财商教育科技有限公司 | Online education live video compression method and system |
| CN116112732A (en) * | 2023-04-12 | 2023-05-12 | 山东工程职业技术大学 | Artificial intelligence interaction method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113055697A (en) | Online education live broadcast system and method based on cloud computing and big data technology | |
| CN110213609B (en) | Method, device and storage medium for live broadcast of online education | |
| CN103426336B (en) | Digitized Teaching Resources in Campus system and using method | |
| CN104539983B (en) | Online class management system and method | |
| EP3883254A1 (en) | Method and apparatus for synchronizing whiteboard with video, computing device, and storage medium | |
| CN108520661A (en) | A kind of web based education and training system based on cloud platform | |
| CN106844667B (en) | MQTT protocol-based mobile terminal test question distribution and answering method | |
| CN113132741A (en) | Virtual live broadcast system and method | |
| CN112185197A (en) | Fusion education system based on cloud platform | |
| CN112581813A (en) | Intelligent interactive remote education system based on big data | |
| CN107093338A (en) | A kind of teaching of Chinese system and its application method | |
| CN113112881B (en) | Remote experiment question answering system based on WebRTC | |
| CN107393362A (en) | A kind of computer application teaching and training system | |
| CN114422820A (en) | Education interactive live broadcast system and live broadcast method | |
| CN109862375B (en) | Cloud recording and broadcasting system | |
| KR20000072429A (en) | Realtime, interactive multimedia education system and method in online environment | |
| CN111627273A (en) | Cloud live broadcast cloud recording and broadcasting method based on interconnection and intercommunication of Internet and IPTV television network | |
| CN108270667A (en) | A kind of Internet education platform and its multiuser interactive method | |
| CN118365491A (en) | Digital precise education system based on obligation education | |
| CN116880699A (en) | Multi-person immersive teaching interaction system | |
| CN108768945A (en) | A kind of mobile live broadcast teaching interaction systems | |
| CN113012500A (en) | Remote teaching system | |
| CN112116841A (en) | Personalized remote education system and method based on deep learning | |
| CN112508509A (en) | Teleconference system for enterprise training | |
| CN107195211B (en) | Bypass-based on-line lesson monitoring 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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210629 |