CN110516436A - Learning machine application program installation method, device, learning machine and storage medium - Google Patents
Learning machine application program installation method, device, learning machine and storage medium Download PDFInfo
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- CN110516436A CN110516436A CN201910806910.1A CN201910806910A CN110516436A CN 110516436 A CN110516436 A CN 110516436A CN 201910806910 A CN201910806910 A CN 201910806910A CN 110516436 A CN110516436 A CN 110516436A
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- Prior art keywords
- application program
- learning machine
- backstage
- white list
- solicited message
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
- G06F21/51—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems at application loading time, e.g. accepting, rejecting, starting or inhibiting executable software based on integrity or source reliability
Abstract
The invention discloses learning machine application program installation method, device, learning machine and storage mediums, belong to learning machine technical field.After sending the first solicited message to backstage, receives and show the application icon information by the backstage according to first request message transmission；Downloading solicited message after being activated according to the application icon downloads corresponding application program；It is verified according to the mount request of the application program of downloading with the white list database prestored when installation；If the mount request of application program is verified with white list database, installation application program is executed, if verifying does not pass through, terminates installation application program.In this technology, white list and be sent to learning machine terminal by the setting on backstage, can guarantee student using when the application program installed be to filter the application program of some interference in learning by screening, the focus for improving student avoids student from being immersed in the applications such as game, adult social activity.
Description
Technical field
The present invention relates to technical field of electronic equipment more particularly to learning machine application program installation method, device, learning machines
And storage medium.
Background technique
As to develop electronic equipment more more and more universal for technology, by the electronic commercial of electronic equipment, user can it is free or
Payment downloads various application software, for example browses software, social software, Games Software etc..These electronic equipments are rich
The rich study of the people, work and life.
The one kind of learning machine as electronic equipment, is widely used in the learning process of student.Traditional learning machine in addition to
It can download except some learning softwares, still be able to download some Games Softwares, these Games Softwares do not have when downloading and installing
There are a qualifications, i.e., anyone can download, installs and use.It is easy to cause student to be immersed in game in this way, is unfavorable for learning
Raw study, growth, and the eyesight that also will affect student is used for a long time.
Therefore, above-mentioned technical problem needs to solve.
Summary of the invention
The main purpose of the present invention is to provide learning machine application program installation method, device, learning machine and storages to be situated between
Matter, it is therefore intended that the installation of the application program of learning machine is limited, to purify the use environment of learning machine.
In order to solve the above technical problems, technical solution proposed by the present invention are as follows:
On the one hand a kind of learning machine application program installation method is proposed, which comprises the steps of:
The step of sending the first solicited message to backstage；
The step of receiving by the backstage according to the application icon information of first request message transmission；
The step of showing the application icon information；
It is corresponding that downloading solicited message after being activated according to the application icon downloads the downloading solicited message
The step of application program；
The step of being verified according to the mount request of the application program of downloading with the white list database prestored；If using
The mount request of program is verified with white list database, then executes installation application program, if verifying does not pass through, terminates peace
Fill application program.
On the other hand, a kind of learning machine application program mounting device is proposed, comprising:
First sending module, for sending the first solicited message to backstage；
First receiving module, for receiving the application icon by the backstage according to first request message transmission
Information；
Display module, for showing the application icon information；
Download module is downloaded the downloading for the downloading solicited message after being activated according to the application icon and is asked
Seek the corresponding application program of information；
Authentication module, the mount request for the application program according to downloading are tested with the white list database prestored
Card；If the mount request of application program is verified with white list database, installation application program is executed, if verifying is obstructed
It crosses, then terminates installation application program.
In addition a kind of learning machine is also proposed, including in memory, processor and the storage memory and can be described
The computer program run on processor, the computer program realize a kind of above-mentioned learning machine when being executed by the processor
The step of application program installation method.
It finally proposes a kind of computer readable storage medium, is stored with learning machine on the computer readable storage medium and answers
With program installation procedure, the learning machine application program installation procedure realizes that a kind of above-mentioned learning machine is answered when being executed by processor
The step of with program installation method.
The beneficial effects of the present invention are:
Technical solution of the present invention proposes learning machine application program installation method, device, learning machine and storage medium, when to
After backstage sends the first solicited message, receives and show the application program by the backstage according to first request message transmission
Icon information；Downloading solicited message after being activated according to the application icon downloads corresponding application program；When installation
It is verified according to the mount request of the application program of downloading with the white list database prestored；If the mount request of application program
It is verified with white list database, then executes installation application program, if verifying does not pass through, terminate installation application program.This
In technology, by setting white list on backstage and being sent to learning machine terminal, it can guarantee the application journey installed when student's use
Sequence is to filter the application program of some interference in learning by screening, improves the focus of student, student is avoided to be immersed in trip
Play, the application such as adult social activity.
Detailed description of the invention
Fig. 1 be backstage and learning organization at system block diagram；
Fig. 2 is the flow diagram of learning machine application program installation method；
Fig. 3 is the module diagram of the application data group on backstage；
Fig. 4 is the list schematic diagram of verification information；
Fig. 5 is the structural schematic diagram of learning machine application program mounting device；
Fig. 6 is the structural schematic diagram of learning machine.
Specific embodiment
Below in conjunction with attached drawing 1 to attached drawing 6, technical scheme in the embodiment of the invention is clearly and completely described,
Obviously, described embodiment is only a part of the embodiments of the present invention, instead of all the embodiments.Based in the present invention
Embodiment, every other embodiment obtained by those of ordinary skill in the art without making creative efforts,
It shall fall within the protection scope of the present invention.
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Learning machine described in the embodiment of the present invention can also be immobile terminal equipment in addition to can be mobile learning machine.
Specifically, mobile learning machine can be mobile phone, tablet computer, palm PC, car-mounted terminal, wearable device etc., non-moving
Terminal device can be personal computer, smart television etc..
The executing subject of the installation method of learning machine application program provided in an embodiment of the present invention can be above-mentioned movement
Learning machine and immobile terminal equipment can also be the functional module with application program downloading, installation of this Terminal Type.Separately
Outside, it should be noted that the learning machine can be the terminal with operating system, the operating system can be Android system,
Ios operating system, (SuSE) Linux OS etc. are illustrated by taking mobile learning machine as an example below.
In technical solution of the present invention, between the learning machine and backstage establish contact, with realize application program transmission,
Downloading, installation.Referring specifically to Fig. 1, which is the system framework figure on learning machine and backstage, including backstage 10 and several institutes
State learning machine 20.Wherein, which can be personal computer or server.And by taking the installation of the program of learning machine as an example into
Row is described in detail.
Referring to fig. 2, which is the flow diagram of learning machine application program installation method.This method comprises the following steps:
S10, to backstage send the first solicited message the step of.
After first solicited message is sent to backstage, this is contacted with learning machine foundation from the background.
S20, the step of receiving by the backstage according to the application icon information of first request message transmission.
After backstage receives the first solicited message, the corresponding application icon information package by backstage storage is in data
Learning machine described in the present embodiment is wrapped and is transmitted to, learning machine receives the application icon information.It should be appreciated that in this reality
It applies in example, the backstage has a database, which includes the application data group of several application program compositions, this is answered
It can be any type of application program, such as learning software, audio-video software, trip with the application program that program data group includes
Play software etc..Referring to Fig. 3, application data group can classify according to practical application, such as be divided into learning region, amusement
Area, Game Zone so that it is convenient to backstage sorting application program when operation.It should be noted that application data group be through
Cross the application-specific composition of screening.These need and fit according to the study of student by the application-specific screened
When entertainment requirements screened.When carrying out consistency operation, it is suitable to select in application data group from the background
Application program, which is added, sends area, which is the application program image that backstage is sent to learning machine after receiving the first solicited message
Mark information.It receives by the backstage according in the step of the application icon information of first request message transmission, connects
The application icon information of receipts is the select application program for being placed on transmission area in the application data group on backstage.
The control to the application program of learning machine can be realized in background end in this way.
Wherein, the application icon information includes the icon picture of the application program and the correspondence for being stored in backstage
The download link of application program.
S30, the step of application icon information is shown.
The icon picture of the application icon information is shown in learning machine in the step, and the icon picture
It is associated with the download link of the application program.
S40, be activated according to the application icon after downloading solicited message download the downloading solicited message pair
The step of application program answered.
In the step, when clicking the application icon, the download link of the application program is activated, backstage responds
The downloading solicited message of learning machine, by corresponding application transfer to learning machine, application program is downloaded and is saved by learning machine
In local.
S50, the step of being verified according to the mount request of the application program of downloading with the white list database prestored；If
The mount request of application program is verified with white list database, then executes installation application program, if verifying does not pass through, eventually
Application program is only installed.
In the step, when triggering the application program, which enters installation process, the installation process first into
Row verification operation.Judge whether the installation of the application program is legal.Specifically, learning machine asks the installation for judging application program
It asks and whether is matched with white list database, application program is installed if matching, terminated if mismatching.In the present embodiment, institute
The information for stating mount request includes at least the information such as title, size, the type of installed application program, can also be learning machine
ID number.Corresponding, the white list database includes the verification information of application program, by mount request and verification information when verifying
It is verified and is judged whether consistent.The verification information is corresponding with the information of the mount request of the application program, i.e., this is tested
Demonstrate,proving information includes the information such as the title, size, type of application program.When comparing, application program mount request will be verified
Information whether include the white list database corresponding informance, if being proved to be successful comprising if, the authentication failed if not including.
It should be appreciated that the white list database include by the verification information of multiple and different application programs, such as Fig. 4, it is each to apply journey
Sequence includes corresponding verification information.Wherein, the verification information of each application program can be it is similar be also possible to it is inhomogeneous,
Such as the verification information of each application program includes the title, size, type of application program, then it is assumed that it is similar, such as its
In the verification information of an application program include title, size, type, and the verification information of other application program is that backstage is raw
At digital certificate key, then it is assumed that inhomogeneity.
It should be appreciated that in the present embodiment, the verification information can be general digital encryption information, these numbers add
Confidential information can be what server was generated based on existing algorithm.
It preferably, in the present embodiment, further include that detection network is before the step of sending the first solicited message to backstage
The step of no connection；The step of sending the first solicited message to backstage is executed after detecting network connection, if detecting network
Connection failure does not execute the step of sending the first solicited message to backstage then.
In the step, only when having detected that being connected to the network Shi Caihui sends the first solicited message to backstage, if not examining
It measures network connection and does not send first solicited message then.It should be appreciated that the program mainly solves learning machine in booting parallel-connection network
The update of the Application Program Interface of learning machine is realized afterwards.That is user opens network connection when using learning machine, learns machine testing
To network connection by, to network connection, then sending the first solicited message to backstage, and execute subsequent operation without network connection,
The application icon information of background update in this way will be transferred to learning machine, and newest application program image is shown in learning machine
Mark information.
In other embodiments, it in the case where detecting that network connects always, can be carried out according to the preset time
The first solicited message is sent to backstage.Such as at continuous interconnection 12 hours, this process backstage, which has, updates new application program, to open
Machine is started, and is updated within 3 hours once, i.e., every three hours send first solicited message to backstage, in this way will in time more
Application icon information in new learning machine, it is convenient to use for user.
Further include the steps that detecting network from closing to connection, sending in network connection to backstage in the present embodiment
The step of white list updating solicited message, the white list data for receiving the background transfer when white list updating solicited message is allowed to
The step of the step of library and the storage white list database.In four steps, the update of white list database is realized.
It should be appreciated that learning machine detect network by close to connection when, to backstage send white list updating request believe
Breath.Wherein, network closing refers to being connected to the network unsuccessful, and the network function including learning machine is closed admittedly and the net of learning machine
Network function is opened, but connection is unsuccessful, is specifically included learning machine and is in offline mode, closes i.e. mode, network connection interruption etc..
When network is by closing to connection, learning machine will send white list updating solicited message to backstage, ask from the background receiving this
Judge whether the solicited message is legal after seeking information, will then send newest white list database to learning machine if legal, learns
Machine receives and stores the newest white list database.Wherein judge the legitimacy of white list updating solicited message according to the white name
It is single to update whether the learning machine ID that solicited message includes is that the preset ID number in backstage is judged.It has prestored and has been corresponding to it from the background
Learning machine ID number, judge when needing to carry out white list updating white list updating solicited message ID number whether with prestore
Whether ID number consistent, be if consistent it is legal, it is illegal if inconsistent.
It is further to note that when detecting network connection always for normal connection status, can according to it is preset when
Between to backstage send white list updating solicited message, with the white list database of timely renewal learning machine.Send white list
The time for updating solicited message is not limited to be connected to the network to be connected to the network and be executed by the time point for being disconnected to connection
The particular point in time of process is sent.Such as network connection continue 12 hours, can with connect a moment start of calculation, every 3 hours to
Backstage sends white list updating solicited message to guarantee to timely update.
By the above method, the application icon information being allowed to that learning machine obtains backstage is realized, and according to answering
Downloading corresponding application program with program icon information during installation can be by the information of the mount request of application program and white name
Single database is verified, and the installation of application program is realized when being verified, and terminates installation if verifying does not pass through.This method
It can be realized the screening on backstage to application-specific, select application software suitable for students to use, can be avoided in this way
Occur influencing the software of student's study in learning machine, so that student's study is more single-minded, student is avoided to indulge in game.
Corresponding to above method embodiment, the embodiment of the present invention also provides a kind of learning machine application program mounting device, such as
Shown in Fig. 5, which includes:
First sending module 10, for sending the first solicited message to backstage；
First receiving module 20, for receiving the application program image by the backstage according to first request message transmission
Mark information；
Display module 30, for showing the application icon information；
Download module 40 downloads the downloading for the downloading solicited message after being activated according to the application icon
The corresponding application program of solicited message；
Authentication module 50, the mount request for the application program according to downloading are tested with the white list database prestored
Card；If the mount request of application program is verified with white list database, installation application program is executed, if verifying is obstructed
It crosses, then terminates installation application program.
Preferably, the learning machine application program mounting device can also include:
First detection module, for detecting whether network connects；Sending module is sent out to backstage after detecting network connection
The step of sending the first solicited message, sending module does not send the first solicited message to backstage if detecting network connection failure.
Preferably, the white list database includes the verification information of application program, by mount request and verifying when verifying
Information is verified and is judged whether consistent.
Preferably, the learning machine application program mounting device further include:
Second detection module 60, for detecting network by closing to connection:
Second sending module 70, for sending white list updating solicited message to backstage in network connection；
Second receiving module 80, for receiving the white list number of the background transfer when white list updating solicited message is allowed to
According to library；
Memory module 90, for storing the white list database.
By above-mentioned apparatus, the application icon information being allowed to that learning machine obtains backstage is realized, and according to answering
Downloading corresponding application program with program icon information during installation can be by the information of the mount request of application program and white name
Single database is verified, and the installation of application program is realized when being verified, and terminates installation if verifying does not pass through.This method
It can be realized the screening on backstage to application-specific, select application software suitable for students to use, can be avoided in this way
Occur influencing the software of student's study in learning machine, so that academic environment is purely clean, student's study is more wholwe-hearted, is not swum
The influence of the applications such as play, adult social activity.
The embodiment of the present invention also provides a kind of learning machine, which includes memory 101, processor 102 and storage
In the memory 101 and the computer program that can run on the processor, the computer program is by the processor
The step of any one of the above learning machine application program installation method is realized when execution.I.e. the learning machine processor 102 can be read
The computer program that access to memory 101 stores can be realized: send when to backstage by loading and executing the computer program
It is received after first solicited message and shows the application icon information by the backstage according to first request message transmission；
Downloading solicited message after being activated according to the application icon downloads corresponding application program；According to downloading when installation
The mount request of application program is verified with the white list database prestored；If the mount request of application program and white list number
It is verified according to library, then executes installation application program, if verifying does not pass through, terminate installation application program.This method can be real
Screening of the backstage to application-specific now, selects application software suitable for students to use, is can be avoided in this way in learning machine
It is middle to occur influencing the software of student's study, so that student's study is more single-minded, student is avoided to indulge in game.
Finally, the present invention also proposes a kind of computer readable storage medium, stored on the computer readable storage medium
There is learning machine application program installation procedure, the learning machine application program installation procedure realizes above-mentioned one when being executed by processor
The step of kind learning machine application program installation method.I.e. when executing the instruction of the learning machine application program installation procedure, realize
It is received after sending the first solicited message to backstage and shows the application by the backstage according to first request message transmission
Program icon information；Downloading solicited message after being activated according to the application icon downloads corresponding application program；Peace
It is verified according to the mount request of the application program of downloading with the white list database prestored when dress；If the installation of application program
Request is verified with white list database, then executes installation application program, if verifying does not pass through, terminates installation using journey
Sequence.
Wherein, any usable medium that the computer readable storage medium can be that computer can access either is wrapped
The data storage devices such as server, the data center integrated containing one or more usable mediums.It should be noted that this field is general
Logical technical staff is understood that all or part of the steps in the various methods of above-described embodiment is can to pass through computer program
It is completed to instruct relevant hardware, computer program can store in computer readable storage medium, and storage medium can be with
Including but not limited to: magnetic medium (such as: floppy disk, hard disk, tape), optical medium (such as: digital versatile disc (Digital
Versatile Disc, DVD)) or semiconductor medium (such as: solid state hard disk (Solid State Disk, SSD)) etc..
For the description of the embodiment of device, learning machine and computer readable storage medium, due to the specific side being related to
Method content is consistent with learning machine application program installation method above-mentioned, specifically can refer to the part.Cannot therefore, it is considered that this
A little embodiment insufficient disclosures.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of learning machine application program installation method, which comprises the steps of:
The step of sending the first solicited message to backstage；
The step of receiving by the backstage according to the application icon information of first request message transmission；
The step of showing the application icon information；
Downloading solicited message after being activated according to the application icon downloads the corresponding application of the downloading solicited message
The step of program；
The step of being verified according to the mount request of the application program of downloading with the white list database prestored；If application program
Mount request be verified with white list database, then execute installation application program, if verifying do not pass through, terminate installation and answer
Use program.
2. learning machine application program installation method as described in claim 1, it is characterised in that:
Further include the steps that detecting whether network connects before the step of sending the first solicited message to backstage；When detecting network
The step of sending the first solicited message to backstage is executed after connection, is not executed if detecting network connection failure and is sent to backstage
The step of first solicited message.
3. learning machine application program installation method as described in claim 1, it is characterised in that:
The white list database includes the verification information of application program, and when verifying verifies mount request and verification information
And judge whether consistent.
4. learning machine application program installation method as described in claim 1, which is characterized in that this method further include:
Detect network by closing to the step of connection:
The step of sending white list updating solicited message to backstage in network connection；
It receives when white list updating solicited message is allowed to the step of the white list database of background transfer；
The step of storing the white list database.
5. a kind of learning machine application program mounting device characterized by comprising
First sending module, for sending the first solicited message to backstage；
First receiving module is believed by the backstage according to the application icon of first request message transmission for receiving
Breath；
Display module, for showing the application icon information；
Download module downloads the downloading request letter for the downloading solicited message after being activated according to the application icon
Cease corresponding application program；
Authentication module, the mount request for the application program according to downloading are verified with the white list database prestored；If
The mount request of application program is verified with white list database, then executes installation application program, if verifying does not pass through, eventually
Application program is only installed.
6. a kind of learning machine application program mounting device as claimed in claim 5, it is characterised in that:
First detection module, for detecting whether network connects；Sending module sends the to backstage after detecting network connection
The step of one solicited message, sending module does not send the first solicited message to backstage if detecting network connection failure.
7. a kind of learning machine application program mounting device as claimed in claim 5, it is characterised in that:
The white list database includes the verification information of application program, and when verifying verifies mount request and verification information
And judge whether consistent.
8. a kind of learning machine application program mounting device as claimed in claim 5, which is characterized in that the device further include:
Second detection module, for detecting network by closing to connection:
Second sending module, for sending white list updating solicited message to backstage in network connection；
Second receiving module, for receiving the white list database of the background transfer when white list updating solicited message is allowed to；
Memory module, for storing the white list database.
9. a kind of learning machine characterized by comprising
It is described in memory, processor and the storage memory and the computer program that can run on the processor
A kind of learning machine application program peace as described in any one of Claims 1-4 is realized when computer program is executed by the processor
The step of dress method.
10. a kind of computer readable storage medium, it is characterised in that:
Learning machine application program installation procedure, the learning machine application program peace are stored on the computer readable storage medium
Dress program realizes a kind of learning machine application program installation side according to any one of claims 1 to 4 when being executed by processor
The step of method.
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| CN113763765A (en) * | 2021-08-31 | 2021-12-07 | 珠海读书郎软件科技有限公司 | Method and device for convenient preparation of teacher in intelligent classroom before class |
| CN111611023B (en) * | 2020-04-28 | 2022-02-01 | 百度在线网络技术（北京）有限公司 | Control method and device of intelligent equipment, electronic equipment and storage medium |
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| CN107979652A (en) * | 2018-01-08 | 2018-05-01 | 上海复兰信息科技有限公司 | A kind of intelligence learning terminal of band man school two-stage management and control |
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| CN111611023B (en) * | 2020-04-28 | 2022-02-01 | 百度在线网络技术（北京）有限公司 | Control method and device of intelligent equipment, electronic equipment and storage medium |
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