CN109803007A - A kind of intelligent remote education and study control system and method based on Internet of Things - Google Patents
A kind of intelligent remote education and study control system and method based on Internet of Things Download PDFInfo
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Abstract
The invention belongs to distance education technique fields, a kind of intelligent remote education and study control system and method based on Internet of Things is disclosed, the intelligent remote education and study control system based on Internet of Things includes: video acquisition module, registration login module, central control module, network communication module, binding module, enquiry module, video download module, video storage modules, video display module.The present invention could be aware that whether internet of things equipment succeeds in registration to Internet of Things server by binding module, avoid consequence of the internet of things equipment to internet of things equipment Bind Failed caused by Internet of Things server registration failure, increase the reliability of internet of things equipment binding procedure, to solve the poor technical problem of internet of things equipment binding method reliability, the reliability of internet of things equipment binding method is improved；Meanwhile the objectivity to educational information analysis, accuracy and comprehensive can be improved by enquiry module, while improving the matching of query result.
Description
Technical field
The invention belongs to distance education technique field more particularly to a kind of intelligent remote education and study controls based on Internet of Things
System and method processed.
Background technique
Education, educator are purposefully planned to have group according to school's condition and academic title according to laws and regulations and industry standard
The mental development to educatee knitted carries out enlightening cultivation by education, is weighed with existing experience, knowledge in people, various existing for its explanation
It to improve the ability of practice, is recognized pair with the thinking of a kind of relative maturity of people or rationality at all as, problem or behavior
To, allow things to be able to close to its most fundamental presence, people wherein, slowly to a kind of things by sense organ touch and to recognize
The state of understanding, and the self-consciousness thinking ... but simultaneously of a kind of comparatively perfect or rationality is formed, people has in self-consciousness
Thinking, and have its self sense organ dimension, so, any educational conscious thinking may not can all be absolutely correct, and answer
The direction for understanding its thinking inductively, as long as the inherence of his not deviation things；Education is again a kind of teaching for thinking, and people
Because the ideology of its own, and have the thinking tendency of another sample, so, education is thought when with most objective, most just consciousness
Dimension is enlightened by education in people, in this way, the thinking of people is just unlikely to excessively deviation, and because thinking it is abundant due to gradually mature, rationality, and by
This moves towards self recognizing with most correct thinking is possessed for most rationality, and here it is the basic places of education.However, existing intelligence
When terminal and internet of things equipment in long-distance education learning system are bound, need manually to participate in, such as verifying is manually entered
Code verifies validity, will increase the complexity of binding procedure in this way, in addition, using this method, it may appear that terminal and Internet of Things
Unbound success between equipment, that is, the reliability bound are poor；As it can be seen that tying up between existing terminal and internet of things equipment
It is poor to determine method reliability；Meanwhile lacking comprehensive to educational information and scientific management method at present, and then it is even more impossible to meet pair
Inquire the matching degree of content.
In conclusion problem of the existing technology is:
(1) it when the terminal in existing intelligent remote education and study system and internet of things equipment are bound, needs manually to join
With, such as identifying code is manually entered to verify validity, it will increase the complexity of binding procedure in this way, in addition, using this method,
It will appear unbound success between terminal and internet of things equipment, that is, the reliability bound is poor；As it can be seen that existing terminal with
Binding method reliability between internet of things equipment is poor；Meanwhile lacking Management Office comprehensive to educational information and scientific at present
Method, and then it is even more impossible to meet the matching degree to inquiry content.
(2) inquiry internet of things educational information resource is carried out in cloud computing database in the prior art and downloads to storage
During in device, educational information resource data are excavated using existing algorithm, the peak value for reducing data mining is poly-
Burnt performance and precision ratio cannot effectively improve optimization access and the data dispatching of database.
(3) in the prior art by the education video resource of memory storage downloading, traditional algorithm of use is to education
Video resource is classified, and cannot be handled qualitative (classifying type) data, be reduced the effect of cluster.
(4) education video content is acquired by camera in the prior art, video image is carried out using traditional algorithm
Processing, cannot effectively improve the effect to the marginal information in image, increase calculating time complexity, cannot be to super-pixel
Compactness carry out constraint control.
Summary of the invention
In view of the problems of the existing technology, the intelligent remote education and study control based on Internet of Things that the present invention provides a kind of
System and method processed.
The invention is realized in this way a kind of intelligent remote education and study control method based on Internet of Things, described to be based on
The intelligent remote education and study control method of Internet of Things includes:
The first step acquires education video content by camera；
Above-mentioned educational data is carried out educational data communication using network card interface connection internet of things by second step；It utilizes
Binding procedure binds Internet of Things educational facilities；
Third step, student utilize registration logging program registration education and study system account and login system；By inquiring journey
Sequence inquires internet of things educational information resource, is downloaded to education video data；
4th step utilizes the education video of display display downloading by the education video resource of memory storage downloading
Content is learnt.
Further, education video content is acquired by camera, video image is handled, to the compactness of super-pixel
Carry out constraint control, using improved image superpixel generating algorithm the following steps are included:
Step 1 selects the cluster centre that the pixel to ascertain the number is initial labeled as algorithm；
Step 2 gives one unique label of each pixel by clustering respectively to the pixel in image；
Step 3 is updated cluster centre information according to certain strategy using current known classification information；
Step 4 carries out classification marker to all pixels point again using updated new cluster centre；It continuously repeats
Step 3 and step 4 obtain the segmentation result of final super-pixel until meeting algorithm stop condition.
Further, inquiry internet of things educational information resource is carried out in cloud computing database and is downloaded in reservoir,
Include: in the process using the efficient mining algorithm specific implementation of mass data in the cloud computing database estimated based on attributes correlation
Mass data information flow auto-correlation function C (τ) is obtained using binary vector description:
τ is auto-correlation time delay coefficient, U in formulaiIt introduces the attributes correlation estimation technique and extracts mass data information flow auto-correlation
Database massive information stream sequence { x in functioni}:
N > 1 in formula；
Above-mentioned mass data feature clustering result is brought into, to database massive information stream sequence { xiCarry out attribute phase
Guan Du estimation；
The calculation formula of mass data feature Fuzzy subtractive clustering dispersion is as follows:
Xi+jτ(τ)={ xi}×hi(τ)+ni(τ)×C(jτ)；
H (τ) is X (τ) in cloud computing database mass data library index function in formula, and n (τ) is sea in cloud computing database
The original function of data is measured, h (τ) and n (τ) are the information gain of mass data；
Utilize formula Xi+jτ(τ)={ xi}×hi(τ)+niThe cluster dispersion of (τ) × C (j τ) to mass data information from
Scattered attribute is analyzed, and is merged attributes correlation method and established high-volume database efficient information data mining model, realizes cloud meter
Calculate the data mining of database:
ri' (t)=Sri(t)*Xri(- t)=S (t) * X (- t) * h 'i(t)*hi(-t)+n1i(t)；
Wherein, attributes correlation estimated result is
Further, by the education video resource of memory storage downloading, classify to education video resource, using changing
Into K-modes algorithm, specifically includes the following steps:
Step 1, according to formula
In formula:For mean entropy；R=1,2 ..., d；
According to the weight of each attribute of above-mentioned calculating；
Step 2 determines cluster numbers K, and K point is randomly selected from n sample point as initial cluster center；
Step 3, to remaining sample respectively according to formula:
In formula: D (xi, xj) be two samples distance；
It calculates at a distance from K cluster centre point, divides it into one kind with apart from the smallest cluster centre；
Step 4 after often repartitioning a sample, updates a cluster centre, and each attribute value of new cluster centre is
The mode of corresponding attribute value is put in class；
Step 5 constantly repeats step 3 and step 4, until the category division of all sample points is not in variation or each
Class cluster centre no longer changes.
Another object of the present invention is to provide the intelligent remote education and study controls described in a kind of execution based on Internet of Things
The intelligent remote education and study control system based on Internet of Things of method, the intelligent remote education and study control based on Internet of Things
System processed includes:
Video acquisition module is connect with central control module, for acquiring education video content by camera；
Login module is registered, is connect with central control module, for registering education and study system by registration logging program
Account and login system study；
Central control module, with video acquisition module, registration login module, network communication module, binding module, inquiry mould
Block, video download module, video storage modules, video display module connection, for controlling modules by central processing unit
It works normally；
Network communication module is connect with central control module, is educated for connecting internet of things by network card interface
Data communication；
Binding module is connect with central control module, for binding Internet of Things educational facilities by binding procedure；
Enquiry module is connect with central control module, for downloading education video data by downloading program；
Video download module, connect with central control module, for inquiring internet of things educational information by polling routine
Resource；
Video storage modules are connect with central control module, for the education video resource by memory storage downloading；
Video display module is connect with central control module, for the education video content by display display downloading
Learnt.
Another object of the present invention is to provide the intelligent remote education and study controls described in a kind of application based on Internet of Things
The distance education platform of method.
Advantages of the present invention and good effect are as follows: the present invention could be aware that internet of things equipment to Internet of Things by binding module
Whether server succeeds in registration, and avoids internet of things equipment and ties up to internet of things equipment caused by Internet of Things server registration failure
Surely the consequence to fail, increases the reliability of internet of things equipment binding procedure, so that solving internet of things equipment binding method can
The technical problem poor by property, improves the reliability of internet of things equipment binding method；Meanwhile it can be improved by enquiry module
Objectivity, accuracy and comprehensive to educational information analysis, while improving the matching of query result.
In the present invention video download module carried out in cloud computing database inquiry internet of things educational information resource and under
It during being downloaded in reservoir, needs to excavate educational information resource data, in order to which the peak value for improving data mining is poly-
Burnt performance and precision ratio improve optimization access and the data dispatching of database, using the cloud estimated based on attributes correlation
Calculate the efficient mining algorithm of mass data in database.
Video storage modules need to provide education video by the education video resource of memory storage downloading in the present invention
Source is classified, and in order to handle qualitative (classifying type) data, can be applied to classification data, same with the method measurement of simple match
The distance between two attribute values under categorical attribute, while the calculating of cluster centre has also been changed to mode by mean value, improves cluster
Effect, using a kind of improved K-modes algorithm.
Video acquisition module acquires education video content by camera in the present invention, needs at video image
Reason reduces to improve the effect to the marginal information in image and calculates time complexity, carry out about to the compactness of super-pixel
Beam control system, using a kind of improved image superpixel generating algorithm.
Detailed description of the invention
Fig. 1 is the intelligent remote education and study Control system architecture signal provided in an embodiment of the present invention based on Internet of Things
Figure；
In figure: 1, video acquisition module；2, login module is registered；3, central control module；4, network communication module；5, it ties up
Cover half block；6, enquiry module；7, video download module；8, video storage modules；9, video display module.
Fig. 2 is the intelligent remote education and study control method flow chart provided in an embodiment of the present invention based on Internet of Things.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, the intelligent remote education and study control system provided by the invention based on Internet of Things includes: that video is adopted
Collect under module 1, registration login module 2, central control module 3, network communication module 4, binding module 5, enquiry module 6, video
Carry module 7, video storage modules 8, video display module 9.
Video acquisition module 1 is connect with central control module 3, for acquiring education video content by camera；
Login module 2 is registered, is connect with central control module 3, for registering education and study system by registration logging program
Account of uniting and login system study；
Central control module 3, with video acquisition module 1, registration login module 2, network communication module 4, binding module 5,
Enquiry module 6, video download module 7, video storage modules 8, video display module 9 connect, for passing through central processing unit control
Modules processed work normally；
Network communication module 4 is connect with central control module 3, is taught for connecting internet of things by network card interface
Educate data communication；
Binding module 5 is connect with central control module 3, for binding Internet of Things educational facilities by binding procedure；
Enquiry module 6 is connect with central control module 3, for downloading education video data by downloading program；
Video download module 7 is connect with central control module 3, and inquiry internet of things religion is carried out in cloud computing database
It educates information resources and downloads in reservoir；
Video storage modules 8 are connect with central control module 3, for being provided by the education video of memory storage downloading
Source；
Video display module 9 is connect with central control module 3, in the education video by display display downloading
Appearance is learnt.
As shown in Fig. 2, the intelligent remote education and study control method provided by the invention based on Internet of Things includes following step
It is rapid:
S101: education video content is acquired by camera；
S102: above-mentioned educational data is subjected to educational data communication using network card interface connection internet of things；Using tying up
Determine programmatic binding Internet of Things educational facilities；
S103: student utilizes registration logging program registration education and study system account and login system；Pass through polling routine
Internet of things educational information resource is inquired, education video data are downloaded；
S104: by the education video resource of memory storage downloading, in the education video using display display downloading
Appearance is learnt.
The video acquisition module 1 acquires education video content by camera, needs to handle video image, is
The effect to the marginal information in image is improved, reduces and calculates time complexity, about beam control is carried out to the compactness of super-pixel
System, using a kind of improved image superpixel generating algorithm, comprising the following steps:
Step 1 selects the cluster centre that the pixel to ascertain the number is initial labeled as algorithm；
Step 2 gives one unique label of each pixel by clustering respectively to the pixel in image；
Step 3 is updated cluster centre information according to certain strategy using current known classification information；
Step 4 carries out classification marker to all pixels point again using updated new cluster centre；It continuously repeats
Step 3 and step 4 obtain the segmentation result of final super-pixel until meeting algorithm stop condition.
The video download module 7 carries out inquiry internet of things educational information resource and is downloaded in cloud computing database
It during in reservoir, needs to excavate educational information resource data, in order to improve the peak focus of data mining
Energy and precision ratio, improve optimization access and the data dispatching of database, using the cloud computing estimated based on attributes correlation
The efficient mining algorithm of mass data in database, as follows during specific implementation:
Mass data information flow auto-correlation function C (τ) is obtained using binary vector description:
τ is auto-correlation time delay coefficient, U in formulaiIt introduces the attributes correlation estimation technique and extracts mass data information flow auto-correlation
Database massive information stream sequence { x in functioni}:
N > 1 in formula；
Above-mentioned mass data feature clustering result is brought into, to database massive information stream sequence { xiCarry out attribute phase
Guan Du estimation；
The calculation formula of mass data feature Fuzzy subtractive clustering dispersion is as follows:
Xi+jτ(τ)={ xi}×hi(τ)+ni(τ)×C(jτ)；
H (τ) is X (τ) in cloud computing database mass data library index function in formula, and n (τ) is sea in cloud computing database
The original function of data is measured, h (τ) and n (τ) are the information gain of mass data；
Utilize formula Xi+jτ(τ)={ xi}×hi(τ)+niThe cluster dispersion of (τ) × C (j τ) to mass data information from
Scattered attribute is analyzed, and is merged attributes correlation method and established high-volume database efficient information data mining model, realizes cloud meter
Calculate the data mining of database:
ri' (t)=Sri(t)*Xri(- t)=S (t) * X (- t) * h 'i(t)*hi(-t)+n1i(t)；
Wherein, attributes correlation estimated result is
The video storage modules 8 are needed by the education video resource of memory storage downloading to education video resource
Classify, in order to handle qualitative (classifying type) data, can be applied to classification data, measure same point with the method for simple match
The distance between two attribute values under generic attribute, while the calculating of cluster centre has also been changed to mode by mean value, improves cluster
Effect, using a kind of improved K-modes algorithm, specifically includes the following steps:
Step 1, according to formula
In formula:For mean entropy；R=1,2 ..., d；
According to the weight of each attribute of above-mentioned calculating.
Step 2 determines cluster numbers K, and K point is randomly selected from n sample point as initial cluster center；
Step 3, to remaining sample respectively according to formula
In formula: D (xi, xj) be two samples distance；
It calculates at a distance from K cluster centre point, divides it into one kind with apart from the smallest cluster centre；
Step 4 after often repartitioning a sample, updates a cluster centre, and each attribute value of new cluster centre is
The mode of corresponding attribute value is put in class；
Step 5 constantly repeats step 3 and step 4, until the category division of all sample points is not in variation or each
Class cluster centre no longer changes.
5 binding method of binding module provided by the invention is as follows:
(1) request message of connection is established in terminal broadcast broadcast with internet of things equipment；
(2) after receiving internet of things equipment to the response message of the request message, with the object for sending the response message
Networked devices establish communication connection；
(3) it is based on the communication connection, whether receives the internet of things equipment that sends from internet of things equipment to Internet of Things clothes
The notification message that business device succeeds in registration；
(4) it is based on the notification message, when determining internet of things equipment to the Internet of Things server registration failure, to registration
The internet of things equipment of failure sends the instruction message registered again to the Internet of Things server, establishes communication connection until determining
All internet of things equipment succeed in registration to the Internet of Things server.
Notification message provided by the invention determines internet of things equipment to the Internet of Things server registration failure, comprising:
Determine the identity ID for not carrying that the Internet of Things server is internet of things equipment distribution in the notification message
And/or when accessing the access token of the Internet of Things server, determines that internet of things equipment is registered to the Internet of Things server and lose
It loses.
The determining all internet of things equipment for establishing communication connection provided by the invention are registered to the Internet of Things server
Success, comprising:
It determines and carries the Internet of Things clothes in the notification message for all internet of things equipment transmission for establishing communication connection
When the access token for the ID and the access Internet of Things server that business device distributes for internet of things equipment, what determining foundation communicated to connect
All internet of things equipment succeed in registration to the Internet of Things server；
When determining that internet of things equipment succeeds in registration to the Internet of Things server, sent based on the internet of things equipment logical
Know the ID and the visit for accessing the Internet of Things server that the Internet of Things server carried in message is internet of things equipment distribution
It asks that token sends access request message to the Internet of Things server, establishes access connection, and base with the Internet of Things server
It connects in the access and is bound with the internet of things equipment.
6 querying method of enquiry module provided by the invention is as follows:
1) education informations are counted and is managed according to major field, obtain teaching quality information；
2) alumnus's information is acquired and is managed according to student number, obtain Quality of Employment information；
3) integrated management is carried out to the teaching quality information and the Quality of Employment information, obtains educational information；
4) query information is obtained, and the educational information is analyzed according to the query information, obtains objective result
Information.
It is provided by the invention that education informations are counted and managed according to major field, teaching quality information is obtained, is wrapped
It includes:
The education informations inside and outside classroom are counted according to major field, obtain learning performance quality information and oneself
Main apparent mass information；
Longitudinal examination is carried out to teaching according to the learning performance quality information and the autonomous apparent mass information, is obtained
Teacher's professional grade information；
Lateral examination is carried out to teaching according to the learning performance quality information and the autonomous apparent mass information, is obtained
Course professional grade information；
Integrated management is carried out to teacher's professional grade information and the course professional grade information, obtains the teaching
Quality information.
It is provided by the invention that alumnus's information is acquired and is managed according to student number, obtain Quality of Employment information, comprising:
Alumnus's information is acquired according to student number, obtains specialized information, job information and state of occupation letter respectively
Breath；
Integrated pipe is carried out to the specialized information, the job information and the state of occupation information according to preset time
Reason, obtains the Quality of Employment information.
Education informations provided by the invention include register information, interactive information, operation complete information, knot class exam information,
Participate in number, feedback time and practice result.
Query information provided by the invention includes that college entrance will query information, Career orientation query information and the talent inquire letter
Breath.
When the invention works, firstly, acquiring education video content using camera by video acquisition module 1；Pass through note
Volume login module 2 is using registration logging program registration education and study system account and login system learns；Secondly, center control mould
Block 3 connects internet of things using network card interface by network communication module 4 and carries out educational data communication；Pass through 5 benefit of binding module
Internet of Things educational facilities are bound with binding procedure；Education video data are downloaded using downloading program by enquiry module 6；Pass through view
Frequency download module 7 inquires internet of things educational information resource using polling routine；Then, it is utilized and is deposited by video storage modules 8
The education video resource of reservoir storage downloading；Finally, utilizing the education video of display display downloading by video display module 9
Content is learnt.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (6)
1. a kind of intelligent remote education and study control method based on Internet of Things, which is characterized in that the intelligence based on Internet of Things
Energy long-distance education learns control method
The first step acquires education video content by camera；
Above-mentioned educational data is carried out educational data communication using network card interface connection internet of things by second step；Utilize binding
Programmatic binding Internet of Things educational facilities；
Third step, student utilize registration logging program registration education and study system account and login system；It is looked by polling routine
Internet of things educational information resource is ask, education video data are downloaded；
4th step utilizes the education video content of display display downloading by the education video resource of memory storage downloading
Learnt.
2. the intelligent remote education and study control method based on Internet of Things as described in claim 1, which is characterized in that by taking the photograph
As head acquisition education video content, video image is handled, constraint control is carried out to the compactness of super-pixel, using improvement
Image superpixel generating algorithm the following steps are included:
Step 1 selects the cluster centre that the pixel to ascertain the number is initial labeled as algorithm；
Step 2 gives one unique label of each pixel by clustering respectively to the pixel in image；
Step 3 is updated cluster centre information according to certain strategy using current known classification information；
Step 4 carries out classification marker to all pixels point again using updated new cluster centre；Continuously repeat step
Three and step 4 until meeting algorithm stop condition obtain the segmentation result of final super-pixel.
3. the intelligent remote education and study control method based on Internet of Things as described in claim 1, which is characterized in that in cloud meter
It calculates and carries out inquiry internet of things educational information resource in database and download in reservoir, estimate using based on attributes correlation
Cloud computing database in include: during mass data efficient mining algorithm specific implementation
Mass data information flow auto-correlation function C (τ) is obtained using binary vector description:
τ is auto-correlation time delay coefficient, U in formulaiThe attributes correlation estimation technique is introduced into extract in mass data information flow auto-correlation function
Database massive information stream sequence { xi}:
N > 1 in formula；
Above-mentioned mass data feature clustering result is brought into, to database massive information stream sequence { xiCarry out attributes correlation
Estimation；
The calculation formula of mass data feature Fuzzy subtractive clustering dispersion is as follows:
Xi+jτ(τ)={ xi}×hi(τ)+ni(τ)×C(jτ)；
H (τ) is X (τ) in cloud computing database mass data library index function in formula, and n (τ) is magnanimity number in cloud computing database
According to original function, h (τ) and n (τ) are the information gain of mass data；
Utilize formula Xi+jτ(τ)={ xi}×hi(τ)+niThe cluster dispersion of (τ) × C (j τ) is to mass data information Category Attributes
It is analyzed, and merges attributes correlation method and establish high-volume database efficient information data mining model, realize cloud computing data
The data mining in library:
ri’(t)Sri(t)*Xri(- t)=S (t) * X (- t) * h 'i(t)*hi(-t)+n1i(t)；
Wherein, attributes correlation estimated result is
4. the intelligent remote education and study control method based on Internet of Things as described in claim 1, which is characterized in that by depositing
The education video resource of reservoir storage downloading, classifies to education video resource, using improved K-modes algorithm, specifically
The following steps are included:
Step 1, according to formula
In formula:For mean entropy；R=1,2 ..., d；
According to the weight of each attribute of above-mentioned calculating；
Step 2 determines cluster numbers K, and K point is randomly selected from n sample point as initial cluster center；
Step 3, to remaining sample respectively according to formula:
In formula: D (xi, xj) be two samples distance；
It calculates at a distance from K cluster centre point, divides it into one kind with apart from the smallest cluster centre；
Step 4 after often repartitioning a sample, updates a cluster centre, and each attribute value of new cluster centre is in class
The mode of the corresponding attribute value of point；
Step 5 constantly repeats step 3 and step 4, until the category division of all sample points is not birdsed of the same feather flock together in variation or respectively
Class center no longer changes.
5. a kind of perform claim require 1 intelligent remote education and study control method based on Internet of Things based on Internet of Things
Intelligent remote education and study control system, which is characterized in that the intelligent remote education and study control system based on Internet of Things
Include:
Video acquisition module is connect with central control module, for acquiring education video content by camera；
Login module is registered, is connect with central control module, for registering education and study system account by registration logging program
And login system learns；
Central control module, with video acquisition module, registration login module, network communication module, binding module, enquiry module,
Video download module, video storage modules, video display module connection are normal for controlling modules by central processing unit
Work；
Network communication module is connect with central control module, carries out educational data for connecting internet of things by network card interface
Communication；
Binding module is connect with central control module, for binding Internet of Things educational facilities by binding procedure；
Enquiry module is connect with central control module, for downloading education video data by downloading program；
Video download module, connect with central control module, for inquiring internet of things educational information resource by polling routine；
Video storage modules are connect with central control module, for the education video resource by memory storage downloading；
Video display module is connect with central control module, for being carried out by the education video content of display display downloading
Study.
6. a kind of intelligent remote education and study control method using described in Claims 1 to 4 any one based on Internet of Things
Distance education platform.
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| CN111292010A (en) * | 2020-03-05 | 2020-06-16 | 广州快决测信息科技有限公司 | Method and system for directionally acquiring data |
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Application publication date: 20190524 |