CN108093065A - Recommendation method applied to Intelligent campus - Google Patents

Recommendation method applied to Intelligent campus Download PDF

Info

Publication number
CN108093065A
CN108093065A CN201711436134.8A CN201711436134A CN108093065A CN 108093065 A CN108093065 A CN 108093065A CN 201711436134 A CN201711436134 A CN 201711436134A CN 108093065 A CN108093065 A CN 108093065A
Authority
CN
China
Prior art keywords
parent
information
server
audio
school side
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.)
Granted
Application number
CN201711436134.8A
Other languages
Chinese (zh)
Other versions
CN108093065B (en
Inventor
张亚维
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chongqing Da Conte Technology Co Ltd
Original Assignee
Chongqing Da Conte Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Chongqing Da Conte Technology Co Ltd filed Critical Chongqing Da Conte Technology Co Ltd
Priority to CN201711436134.8A priority Critical patent/CN108093065B/en
Publication of CN108093065A publication Critical patent/CN108093065A/en
Application granted granted Critical
Publication of CN108093065B publication Critical patent/CN108093065B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/55Push-based network services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/958Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/56Provisioning of proxy services
    • H04L67/567Integrating service provisioning from a plurality of service providers

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Educational Administration (AREA)
  • Educational Technology (AREA)
  • Databases & Information Systems (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • General Business, Economics & Management (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Electrically Operated Instructional Devices (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to campus administration field, the present invention can not determine the technical issues of suitable information pushes the time for existing campus intelligent management system according to the situation of parent, provide a kind of recommendation method applied to Intelligent campus, include the following steps:S1 parent's access time acquisition step, acquisition parent access the access time information of school side's server by parent end, and the access time information includes starting access time and terminates access time;S2 parent accesses audio collection step, and acquisition parent accesses audio-frequency information during school side's server by parent end;S3 parent accesses expression acquisition step, and acquisition parent accesses expression information during school side's server by parent end;S4 parent accesses comment acquisition step, the comment information that acquisition parent actively submits when accessing school side's server by parent end;S5 analyzes statistic procedure, and processing is identified to access time information, audio-frequency information, expression information and the comment information collected.

Description

Recommendation method applied to Intelligent campus
Technical field
The present invention relates to campus administration fields, and in particular to a kind of recommendation method applied to Intelligent campus.
Background technology
With advances in technology, the Campus Management System that many schools use, as China Patent No. is A kind of campus short message transmission system is disclosed in the patent document of ZL2003101160781, including be mounted in campus all-in-one machine, Short message cordless communication network, campus short message service processor, database and management server at operation.Described one Body machine is mainly used for gathering student information, and by the information collected in a manner of mobile phone short message, by cordless communication network It is sent to the management/service platform built at operator.Management/service platform leads to service processor, number including campus short message According to storehouse and management server.Campus short message leads to service processor and is connected by network with telecommunication bureau and database, management server, It is responsible for receiving, the mobile phone short message that processing all-in-one machine and parents of student send, the data in calling/storage database and to Raw parent sends short message.
In above system, parent can not get student in school situation, and (student is at school due to non-carrying mobile phone by student Period carrying mobile phone is easily divert one's attention, and many school's regulations do not allow student's carrying mobile phone) lead to not obtain school's issue in time Information the problem of.
In view of the above-mentioned problems, the applicant proposes to understand in the wisdom Education Administration Information System applied to campus submitted on the same day Certainly method, the system include:Cloud control centre summarizes platform as information;At least one school side's server, for storing student Management information and education informations;At least one teacher's terminal obtains student-directed information and religion in school side's server for teacher Learn information;At least one parent's terminal obtains corresponding student-directed information and education informations in school side's server for parent; At least one class's terminal for accessing school side's server, and shows according to the daily schedule education informations of class to student.
But in above system, the time to parent's push is random, it is impossible to be pacified according to the time of each parent Discharge into row accurately push.This is easy for causing after to parent's pushed information, and parent may ignore due to being busy with one's work Situation about falling.
The content of the invention
The present invention can not determine suitable information push for existing campus intelligent management system according to the situation of parent The technical issues of time, provides a kind of recommendation method applied to Intelligent campus.
Base case provided by the invention is:Applied to the recommendation method of Intelligent campus, include the following steps:
S1 parent's access time acquisition step, the access time that acquisition parent accesses school side's server by parent end believe Breath, the access time information include starting access time and terminate access time;
S2 parent accesses audio collection step, and acquisition parent accesses audio-frequency information during school side's server by parent end;
S3 parent accesses expression acquisition step, and acquisition parent accesses expression information during school side's server by parent end;
S4 parent accesses comment acquisition step, and that is actively submitted when acquisition parent accesses school side's server by parent end comments By information;
S5 analyzes statistic procedure, to the access time information, audio-frequency information, expression information and the comment information that collect into Row identifying processing obtains parent's interest pattern ranking storehouse;
S6 information recommendation steps, according to parent's interest pattern ranking storehouse, to parent push in school side's server with family Changxing The interesting relevant information of type ranking.
The operation principle and advantage of the present invention is:S1 acquisition parents end accesses the access time of school side's server, accesses Time includes starting access time and terminates the time accessed.It is such just to collect when parent was accessing school Square server.Such mode, the free time that more can effectively get parent arrange.
Audio collection step is accessed by S2 parent, when can collect parent by parent end access school side's server Audio-frequency information.I.e. parent is when accessing school side's server, it may be possible to for the notice for consulting the achievement of student or school side sends Information.The achievement of certain student is also one kind of notification information.Parent might have when consulting notification information and send some languages Speech feedback.If parent is when consulting student performance, certain evaluation can be made to the achievement of student, e.g., student performance rises, Certainly the evaluation of positive praise property is had, student performance has dropped, and has the evaluation of negative criticism property, parent certainly End audio collection module can collect this information.
S3 parent accesses expression acquisition step, and acquisition parent accesses expression information during school side's server by parent end, Expression information mainly does an effect for being mutually authenticated and supplementing with audio-frequency information.Because Chinese characters are of extensive knowledge and profound scholarship, parent When being evaluated, the mood of parent is identified from language, there may be certain deviation.That is, parent when saying Speech Assessment, The rhetorical devices such as irony, metaphor may be used, very big obstacle is caused to the identification of audio-frequency information.Such as, in student performance During decline, parent's may say, " XXX (child's name), specifically examine fortunately ", difficult in simple slave audio identification To confirm that parent is positive or reversed evaluation, therefore introduce parent end expression acquisition module and the expression of parent is known Not, so as to play the role of supplement to audio-frequency information.
It is actively to submit evaluation information for parent that S4 parent, which accesses comment acquisition step,.Parent is directed to school side's server Interior notification information, is certain to express one's opinion and view, therefore parent end comment acquisition module collects parent The evaluation information actively submitted by parent end.
S5 analyze statistic procedure to the access time information, audio-frequency information, expression information and the evaluation information that collect into Row analyzing and processing, can get parent couple and the evaluation of notification information in time.Such as, the issue of school side's server is to collect private tutoring The information taken, then for parent when being checked by parent end, very big possibility can deliver some unfavorable ratings, if school side is not It can collect in time and recognize these unfavorable ratings, certain rumors are readily formed between parent, influence school side's shape As.It is gathered in the present solution, can be commented on by parent end audio collection module, parent end expression acquisition module and parent end Module is acquired the audio-frequency information, expression information and evaluation information of parent, allows school side that can collect parent's in time It feeds back, scheme of making explanations in time, improves the efficiency of management of school side.Also, school side's service (is accessed) in other words in parent's browsing During all kinds of notification informations in device, it can determine that parent is pair according to the audio-frequency information, expression information and evaluation information of parent What type of notification information is interested, so as to excavate out the point of interest of parent.Parent is the best teacher of child, as parent couple When information in school side's server is interested, parent can learn to many new knowledge, and in this case, child, which sees, to get home Length is all studying hard (or being concerned about his study), and child can also get down what is studied hard.
S6 information recommendation steps are performed according to the result of S5 analysis statistic procedures, in S5 analyzes statistic procedure, energy Enough accurately to get parent be when reading which kind of notification information, is to be in a cheerful frame of mind, and has what front was evaluated, thus Parent's interest pattern ranking storehouse can be accurately established, and due to the presence of S1 parent's access time acquisition step, energy The free time of parent is enough got, so as to achieve the purpose that the free time in parent recommends the interested information of parent.
The present invention is applied to the recommendation method of Intelligent campus, and the free time of parent is determined by S1, is visited by S2 parent Ask that audio collection step, S3 parent access expression acquisition step, S4 parent accesses comment acquisition step and S5 analysis statistics steps Suddenly the interested content of definite parent reaches and determines suitable information and the effect of suitable push time according to the situation of parent Fruit.
Further, in step S2 parent accesses audio collection step, school side is accessed by parent end collecting parent After audio-frequency information during server, speech recognition also is carried out to audio-frequency information, audio-frequency information is then converted into text message; In S5 analysis statistic procedures, text message is identified processing.
Such design can be because the memory space of text message occupancy is small, and will not occupy too many internet resource. Also, in S5 analyzes statistic procedure to the analyze speed of text message faster, and the identification difficulty of text message is also compared It is relatively low, it can comparatively fast and more accurately identify the feedback of parent.Specifically, after by speech recognition, to high frequency vocabulary It is counted, so that it is determined that evaluation of the parent to notification information.
Further, in step S5 analyzes statistic procedure, feature extraction is carried out to text message, and according to pre-set Repercussion of the parent when browsing the different notification informations in school side's server is analyzed in text identification storehouse, obtains audible feedback information.
Such design is to pre-set a text identification storehouse, common vocabulary is previously stored in text identification storehouse Repercussion information, such as " bad " correspond to negatively, " good or stick " represents positive evaluation, i.e., quick rough evaluation parent is to notice The repercussion of information facilitates carry out statistical analysis.
Further, in step S5 analyzes statistic procedure, human facial feature extraction is carried out to the expression information collected, is obtained Expression label, and parent is analyzed when browsing the different notification informations in school side's server according to pre-set Expression Recognition storehouse Repercussion, and matched with audible feedback information, impression of the analysis parent when browse different notification informations obtains parent and feel By information.
Such design is to preferably supplement the text message collected.
Further, S2-1 is further included, after s 2, the audio-frequency information collected is preserved.
Such design can preserve audio-frequency information, convenient for staying shelves.
Further, in step S5 analyzes statistic procedure, the comment information of parent is identified, identifies it is positive drum It encourages, the comment information that negative sense opinion or neutrality are evaluated, and is replied and counted according to recognition result, for there is sensitive word The comment information of remittance is hidden and collects.
Such design can reply the evaluation information of parent in time, establish good communication relation.Then can Some sensitive vocabulary are enough shielded, avoid influence of the improper speech to student or other parents.
Description of the drawings
Fig. 1 is the flow chart for the recommendation method that the present invention is applied to Intelligent campus;
Fig. 2 is applied to the logic diagram of the system of the recommendation method of Intelligent campus to realize the present invention.
Specific embodiment
Below by the further details of explanation of specific embodiment:
Embodiment 1
Applied to the recommendation method (as shown in Figure 1) of Intelligent campus, include the following steps:
S1 parent's access time acquisition step, the access time that acquisition parent accesses school side's server by parent end believe Breath, the access time information include starting access time and terminate access time;
S2 parent accesses audio collection step, and acquisition parent accesses audio-frequency information during school side's server by parent end, After audio-frequency information when collecting parent and accessing school side's server by parent end, speech recognition also is carried out to audio-frequency information, Then audio-frequency information is converted into text message;
S2-1 preserves the audio-frequency information collected;
S3 parent accesses expression acquisition step, and acquisition parent accesses expression information during school side's server by parent end;
S4 parent accesses comment acquisition step, and that is actively submitted when acquisition parent accesses school side's server by parent end comments By information;
S5 analyzes statistic procedure, to the access time information, audio-frequency information, expression information and the comment information that collect into Text message is identified processing in row identifying processing, and feature extraction is carried out to text message, and according to pre-set text It identifies repercussion of the storehouse analysis parent when browsing the different notification informations in school side's server, audible feedback information is obtained, to adopting The expression information collected carries out human facial feature extraction, obtains expression label, and according to pre-set Expression Recognition storehouse analyst The repercussion when browsing the different notification informations in school side's server is grown, and is matched with audible feedback information, analyzes parent Impression when browsing different notification informations obtains parent and experiences information, the comment information of parent is identified, identifying is Forward direction is encouraged, the negative sense opinion still neutral comment information evaluated, and carry out carrying out simply reply according to recognition result and count, It is hidden and collects for the comment information for sensitive vocabulary occur, obtain parent's interest pattern ranking storehouse;
S6 information recommendation steps, according to parent's interest pattern ranking storehouse, to parent push in school side's server with family Changxing The interesting relevant information of type ranking.
When specifically used:Parent (is smart mobile phone in the present embodiment, can be flat in other embodiments using parent end Plate computer or individual PC) school side's server is accessed, start access time and the time for terminating to access in S1 parent's access time It is collected in acquisition step, the free time that more can effectively get parent arranges.
Audio collection step is accessed by S2 parent, when can collect parent by parent end access school side's server Audio-frequency information.I.e. parent is when accessing school side's server, it may be possible to for the notice for consulting the achievement of student or school side sends Information.The achievement of certain student is also one kind of notification information.Parent might have when consulting notification information and send some languages Speech feedback.If parent is when consulting student performance, certain evaluation can be made to the achievement of student, e.g., student performance rises, Certainly the evaluation of positive praise property is had, student performance has dropped, and has the evaluation of negative criticism property, parent certainly End audio collection module can collect this information.
S3 parent accesses expression acquisition step, and acquisition parent accesses expression information during school side's server by parent end, Expression information mainly does an effect for being mutually authenticated and supplementing with audio-frequency information.Because Chinese characters are of extensive knowledge and profound scholarship, parent When being evaluated, the mood of parent is identified from language, there may be certain deviation.That is, parent when saying Speech Assessment, The rhetorical devices such as irony, metaphor may be used, very big obstacle is caused to the identification of audio-frequency information.Such as, in student performance During decline, parent's may say, " XXX (child's name), specifically examine fortunately ", difficult in simple slave audio identification To confirm that parent is positive or reversed evaluation, therefore introduce parent end expression acquisition module and the expression of parent is known Not, so as to play the role of supplement to audio-frequency information.
If school side's server issue is the information for collecting private tutoring expense, then parent by parent end when being checked, very Big possibility can deliver some unfavorable ratings, if school side cannot collect and recognize these unfavorable ratings in time, in parent Between be readily formed certain rumors, influence school side image.In the present solution, parent end audio collection mould can be passed through Block, parent end expression acquisition module and parent end comment acquisition module are to the audio-frequency information, expression information and evaluation of parent Information is acquired, and allows school side that can collect the feedback of parent, scheme of making explanations in time in time, and the management for improving school side is imitated Rate.It also, can be according to the audio of parent when parent's browsing (accesses) all kinds of notification informations in school side's server in other words Information, expression information and evaluation information determine that parent is interested in what type of notification information, so as to excavate out parent Point of interest.Parent is the best teacher of child, and when parent is interested in the information in school side's server, parent can learn To many new knowledge, in this case, child sees that parent is studying hard (or being concerned about his study), Hai Ziye Can get down study.
S6 information recommendation steps are performed according to the result of S5 analysis statistic procedures, in S5 analyzes statistic procedure, energy Enough accurately to get parent be when reading which kind of notification information, is to be in a cheerful frame of mind, and has what front was evaluated, thus Parent's interest pattern ranking storehouse can be accurately established, and due to the presence of S1 parent's access time acquisition step, energy The free time of parent is enough got, so as to achieve the purpose that the free time in parent recommends the interested information of parent.And And the demand and problem of parent can be accurately got, teacher and school can just carry out more when being linked up with parent It is effective to link up.
A kind of system for carrying out the process (as shown in Figure 2) is also disclosed to realize the above method, in the present embodiment, The system includes:
Parent end access time acquisition module accesses the access time of school side's server for gathering parent by parent end Information, the access time information include starting access time and terminate access time;
Parent end audio collection module, for gather parent by parent end access school side's server when audio-frequency information, And speech recognition is carried out to audio-frequency information, it is sent to analysis statistical module after audio-frequency information is converted to text message;
Parent end expression acquisition module, for gather parent by parent end access school side's server when expression information;
Acquisition module is commented at parent end, is commented for gathering parent by what is actively submitted during the access school side's server of parent end By information;
Statistical module is analyzed, for the access time information, audio-frequency information, expression information and the comment information that collect Processing is identified, text message is identified processing, feature extraction is carried out to text message, and according to pre-set text Repercussion of the parent when browsing the different notification informations in school side's server is analyzed in this identification storehouse, obtains audible feedback information, right The expression information collected carries out human facial feature extraction, obtains expression label, and is analyzed according to pre-set Expression Recognition storehouse Repercussion of the parent when browsing the different notification informations in school side's server, and matched with audible feedback information, analyst The impression when browsing different notification informations is grown, parent is obtained and experiences information, the comment information of parent is identified, is identified It is the comment information of positive encouragement, negative sense opinion or neutral evaluation, and carries out carrying out simply reply according to recognition result and unite Meter is hidden and collects for the comment information for sensitive vocabulary occur, obtains parent's interest pattern ranking storehouse;
Information recommendation module, according to parent's interest pattern ranking storehouse, to parent push in school side's server with parent's interest The relevant information of type ranking;
Wherein, analysis statistical module is additionally operable to carry out human facial feature extraction to the expression information collected, obtains expression mark Label, and it is anti-when browsing the different notification informations in school side's server according to pre-set Expression Recognition storehouse analysis parent It rings, and is matched with audible feedback information, impression of the analysis parent when browsing different notification informations obtains parent and experience letter Breath;Analysis statistical module is additionally operable in units of the notification information in school side's server, to audio-frequency information, the expression letter collected Breath, comment information are counted;Analysis statistical module is additionally operable to analyze the access time information collected, according to analysis As a result other notification informations are pushed to parent end in the suitable period.
When specifically used:Parent end audio collection module, the setting of parent end expression acquisition module in the present embodiment are in In long terminal, parent's terminal is smart mobile phone, and parent end access time acquisition module, parent end comment acquisition module and analysis are united Meter module is arranged in school side's server.Specific hardware support is that parent end audio collection module is to be set on smart mobile phone Microphone, parent end expression acquisition module is the camera on smart mobile phone, and parent end access time acquisition module is intelligence During mobile phone access school side server, the memory for accessing record, parent end comment acquisition module can be preserved on school side's server For the memory of comment information can be preserved on school side's server.
Specifically, refer to that parent end audio collection module carries out speech recognition to audio-frequency information in the present embodiment, by audio Information be converted to analysis statistical module application is sent to after text message be HKUST News speech recognition technology, in others Using the technology of speech-to-text in search dog input method in embodiment.Parent end expression acquisition module to the expression of parent into Row acquisition identification using Expression Recognition technology, can be distinguished in the present embodiment 6 kinds of moods (it is glad, angry, startled, frightened, detest Dislike and sad), above-mentioned mood is divided into positive mood (happiness), neutral mood (being taken aback, frightened and sad) and negative sense feelings Thread (angry and detest).Wherein, neutral mood needs to combine the mood tendency that other moods judge parent.
Specifically, text identification storehouse memory contains the tendentiousness of common word, such as " very good, excellent " is this kind of for forward direction , " tired, how can be so " etc. be negative sense.It thus can more integrate and comprehensively collect parent and school side's issue is led to Know the view of information.S1 acquisitions parent end accesses the access time of school side's server, access time include starting access time and Terminate the time accessed.It is such just to collect when parent was accessing school side's server.Such mode, energy The enough free time for more effectively getting parent arranges.
Embodiment 2
Compared with Example 1, it the difference is that only, further include classroom situation display module, classroom situation display module Class is arranged on including main camera, roof locomotive, memory, processor, controller (microcontroller) and display, display At doorway, a point camera is provided on roof locomotive, divides camera with controller to be connected by WIFI signal, controller can The movement of roof locomotive is controlled, main camera is mounted in front of classroom to gather the picture of class hour in entire class and be sent to Processing is identified to the picture collected in processor, processor, determines that individual actions act the work for the classmate not conformed to group For coordinate and controller is sent to, controller, which controls roof locomotive and is fixed on roof locomotive, divides camera to be moved to The top of the classmate divides image that camera gathers the classmate and is sent to memory preservation.Certainly, main camera and point camera shooting The image of head acquisition is sent to processor, and processor sends the signal to server, and parent can pass through smart mobile phone and service Device data connection.
Specifically, roof locomotive climbs wall vehicle for existing toy, by siphoning away the gas of chassis, atmospheric pressure is allowed by vehicle Body is pressed on wall or roof.Individual actions act the classmate not conformed to particularly when teacher is allowing classmates to remember pen with group Clock, if some classmate it is still low head either look at blackboard or when teacher allows classmates to look at the blackboard, some classmate is such as Fruit it is still low head it is determined that the action of the classmate is acted for individual actions and group and not conformed to, to a certain extent can be true The fixed classmate has the suspicion deserted, and then the movement of controller control roof locomotive, divides camera also with roof locomotive It is mobile, then divide image and preservation that camera gathers the classmate.Such design can accurately collect student and exist Whether desert on classroom, and gather the doubtful image deserted and save, can record in specification classroom to a certain extent Rule.And it is shown on the display outside classroom, patrol officer is facilitated to check, understand classroom state at any time.
It in the present embodiment, can also be in the image of class hour on parent recommendation child free time of parent, Jia Changke The operating right of the moving coordinate of manipulation roof locomotive is obtained in a manner of by charging payment, such parent can pass through intelligence Energy mobile phone inputs the coordinate at the seat of oneself child, and roof locomotive is moved to the coordinate under the control of the controller, and acquisition should The image of child parent can be concerned about the child of oneself anywhere or anytime.
Embodiment 3
Compared with Example 1, it the difference is that only, further include operation and recommend supervision subsystem, supervision is recommended in operation System includes being arranged on the operation input module of teacher side and is arranged on the scene recording module at parent end, operation input module For the content of teacher's typing operation and it is expected that time for fulfiling assignment and be sent to analysis statistical module, statistical module pair is analyzed It it is expected that the time to fulfil assignment is analyzed, creates supervision and requires time point and supervision label, then analyzing statistical module will make Hold in the industry and be sent to parent end, after reaching supervision and requiring time point, analysis statistical module is sent to parent end by label is supervised, Parent end starts situation when scene recording module typing student fulfils assignment after label is supervised in identification.
Specifically, supervision label is Quick Response Code, supervision wants seeking time to start timing (the i.e. parent that does one's assignment in student for parent End proposes timing request, and analysis statistical module starts timing, and specific statistical module of analyzing is server), pass through work in teacher When industry input module arranges operation, just typing Estimated Time Of Completion, supervision want seeking time as in Estimated Time Of Completion 1/3rd, 2/3rds, entire Estimated Time Of Completion terminates.Estimated Time Of Completion is divided into three parts, is tied each time The state that student does one's assignment is gathered during beam.Reach each supervision require time point when, analysis statistical module to parent end send out Supervision label (Quick Response Code) is sent, parent end can clap the learning state of student only after Quick Response Code is identified successfully According to, be then uploaded to server preservation.The present embodiment can allow parent preferably to supervise the study condition of student, and to family It is long to recommend the estimated time to fulfil assignment, parent is allowed preferably to supervise student, while parent needs to upload student's learning state Photo, teacher can be allowed to recognize the learning state of student, and only can after parent's termination receives Quick Response Code It uploads, avoids the direct three continuous shootings upload pictures of student, teacher can not supervise student and learn the defects of duration is insufficient.
Above-described is only the embodiment of the present invention, and the common sense such as well known concrete structure and characteristic are not made herein in scheme Excessive description, technical field that the present invention belongs to is all before one skilled in the art know the applying date or priority date Ordinary technical knowledge can know the prior art all in the field, and with using routine experiment hand before the date The ability of section, one skilled in the art with reference to self-ability can improve and implement under the enlightenment that the application provides This programme, some typical known features or known method should not implement the application as one skilled in the art Obstacle.It should be pointed out that for those skilled in the art, without departing from the structure of the invention, it can also make Go out several modifications and improvements, these should also be considered as protection scope of the present invention, these all do not interfere with the effect that the present invention is implemented Fruit and practical applicability.The scope of protection required by this application should be based on the content of the claims, the tool in specification The records such as body embodiment can be used for the content for explaining claim.

Claims (6)

1. the recommendation method applied to Intelligent campus, which is characterized in that including following content:
S1 parent's access time acquisition step, acquisition parent access the access time information of school side's server, institute by parent end Stating access time information includes starting access time and terminates access time;
S2 parent accesses audio collection step, and acquisition parent accesses audio-frequency information during school side's server by parent end;
S3 parent accesses expression acquisition step, and acquisition parent accesses expression information during school side's server by parent end;
S4 parent accesses comment acquisition step, and the comment that acquisition parent actively submits when accessing school side's server by parent end is believed Breath;
S5 analyzes statistic procedure, and access time information, audio-frequency information, expression information and the comment information collected is known Other places are managed, and obtain parent's interest pattern ranking storehouse;
S6 information recommendation steps, according to parent's interest pattern ranking storehouse, to parent push in school side's server with parent's interest class The relevant information of type ranking.
2. the recommendation method according to claim 1 applied to Intelligent campus, it is characterised in that:It is accessed in step S2 parent In audio collection step, after the audio-frequency information when collecting parent and accessing school side's server by parent end, also audio is believed Breath carries out speech recognition, and audio-frequency information then is converted to text message;In S5 analyzes statistic procedure, text message is carried out Identifying processing.
3. the recommendation method according to claim 2 applied to Intelligent campus, it is characterised in that:It analyzes and counts in step S5 In step, feature extraction is carried out to text message, and parent is analyzed in browsing school side clothes according to pre-set text identification storehouse Be engaged in device in different notification informations when repercussion, obtain audible feedback information.
4. the recommendation method according to claim 3 applied to Intelligent campus, it is characterised in that:It analyzes and counts in step S5 In step, human facial feature extraction is carried out to the expression information collected, expression label is obtained, and is known according to pre-set expression Repercussion of the other storehouse analysis parent when browsing the different notification informations in school side's server, and carried out with audible feedback information Match somebody with somebody, impression of the analysis parent when browsing different notification informations obtains parent and experience information.
5. the recommendation method according to claim 4 applied to Intelligent campus, it is characterised in that:S2-1 is further included, in S2 Afterwards, the audio-frequency information collected is preserved.
6. the recommendation method according to claim 5 applied to Intelligent campus, it is characterised in that:It analyzes and counts in step S5 In step, the comment information of parent is identified, identifies the comment letter of positive encouragement, negative sense opinion or neutral evaluation Breath, and replied and counted according to recognition result, it is hidden and collects for the comment information for sensitive vocabulary occur.
CN201711436134.8A 2017-12-26 2017-12-26 Recommendation method applied to smart campus Active CN108093065B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711436134.8A CN108093065B (en) 2017-12-26 2017-12-26 Recommendation method applied to smart campus

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711436134.8A CN108093065B (en) 2017-12-26 2017-12-26 Recommendation method applied to smart campus

Publications (2)

Publication Number Publication Date
CN108093065A true CN108093065A (en) 2018-05-29
CN108093065B CN108093065B (en) 2020-04-14

Family

ID=62179325

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711436134.8A Active CN108093065B (en) 2017-12-26 2017-12-26 Recommendation method applied to smart campus

Country Status (1)

Country Link
CN (1) CN108093065B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109064803A (en) * 2018-08-08 2018-12-21 贵州华宁科技股份有限公司 The system and method for teaching one-piece peripheral communication

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102542849A (en) * 2012-01-20 2012-07-04 东南大学 Formative evaluation system
CN104463746A (en) * 2014-12-23 2015-03-25 北海和思科技有限公司 Family-school connection system based on student learning behavior monitoring method
CN104952297A (en) * 2015-06-04 2015-09-30 袁胜军 Parent end system of preschool education interaction cloud platform
CN105632265A (en) * 2016-03-18 2016-06-01 李志刚 School management system
CN106097198A (en) * 2016-06-08 2016-11-09 深圳百鸽互联科技有限公司 Campus Security Management of Information Interaction stage apparatus, system and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102542849A (en) * 2012-01-20 2012-07-04 东南大学 Formative evaluation system
CN104463746A (en) * 2014-12-23 2015-03-25 北海和思科技有限公司 Family-school connection system based on student learning behavior monitoring method
CN104952297A (en) * 2015-06-04 2015-09-30 袁胜军 Parent end system of preschool education interaction cloud platform
CN105632265A (en) * 2016-03-18 2016-06-01 李志刚 School management system
CN106097198A (en) * 2016-06-08 2016-11-09 深圳百鸽互联科技有限公司 Campus Security Management of Information Interaction stage apparatus, system and method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109064803A (en) * 2018-08-08 2018-12-21 贵州华宁科技股份有限公司 The system and method for teaching one-piece peripheral communication

Also Published As

Publication number Publication date
CN108093065B (en) 2020-04-14

Similar Documents

Publication Publication Date Title
US11068043B2 (en) Systems and methods for virtual reality-based grouping evaluation
CN108153881A (en) Teaching monitoring and managing method based on Intelligent campus management
US10949660B2 (en) Electronic handwriting processor with convolutional neural networks
AU2017281095B2 (en) System and method for automated evaluation system routing
US20190272775A1 (en) Systems and methods for ux-based automated content evaluation and delivery
US20150113018A1 (en) Interactive visual analytics for situational awareness of social media
US20170374414A1 (en) System And Method For Media Experience Data
CN108369521A (en) Intelligent virtual assistance system and correlation technique
US20220211583A1 (en) Infant feeding system
CN112613780B (en) Method and device for generating learning report, electronic equipment and storage medium
US20180176312A1 (en) Correlating detected patterns with content delivery
CN111402096A (en) Online teaching quality management method, system, equipment and medium
CN108376158B (en) Student mobile terminal behavior log analysis method, device and system
CN112529748A (en) Intelligent education platform based on time node mark feedback learning state
JP2021533489A (en) Computer implementation system and method for collecting feedback
CN108093065A (en) Recommendation method applied to Intelligent campus
CN109656944A (en) A kind of online education consulting system recognizing calculating and big data analysis
CN105610973A (en) Method and system for recording webpage reading process based on segmented interaction mode
CN112733059A (en) Intelligent reading tracking evaluation method, system, terminal and storage medium
CN110427620B (en) Service quality optimization management system based on community system
EP3432129B1 (en) Systems and methods for virtual reality-based assessment
CN110728604A (en) Analysis method and device
CN108171415B (en) Information acquisition system applied to campus wisdom Education Administration Information System
CN114241549A (en) Remote reading accompanying system
CN106127637A (en) A kind of interactive learning resource management system of basic education

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
GR01 Patent grant
GR01 Patent grant