CN111144261A - Intelligent management system based on big data - Google Patents
Intelligent management system based on big data Download PDFInfo
- Publication number
- CN111144261A CN111144261A CN201911319795.1A CN201911319795A CN111144261A CN 111144261 A CN111144261 A CN 111144261A CN 201911319795 A CN201911319795 A CN 201911319795A CN 111144261 A CN111144261 A CN 111144261A
- Authority
- CN
- China
- Prior art keywords
- data
- cloud server
- analysis module
- intelligent management
- management system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000008451 emotion Effects 0.000 claims abstract description 14
- 238000007405 data analysis Methods 0.000 claims description 28
- 230000002996 emotional effect Effects 0.000 description 6
- 238000000034 method Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 230000002411 adverse Effects 0.000 description 2
- 230000006399 behavior Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/30—Scenes; Scene-specific elements in albums, collections or shared content, e.g. social network photos or video
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Strategic Management (AREA)
- Signal Processing (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)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The invention provides an intelligent management system based on big data, relates to the field of intelligent management systems, and aims to solve the problems that students can generate conflicting emotions to be unfavorable for normal learning of the students and the management cost is high due to the fact that a plurality of cameras are installed in classrooms for the students to be managed conveniently in a general school. The cloud server is capable of gathering data collected in the early stage and finally gathering the data to the data display module.
Description
Technical Field
The invention relates to the field of intelligent management systems, in particular to an intelligent management system based on big data.
Background
Internet + education "is a new education form combining internet science and technology with the field of education with the continuous development of current science and technology. Information technology has penetrated all aspects of society. In the modern information society, the internet has the characteristics of high efficiency, rapidness and convenient propagation, plays an irreplaceable important role in the learning and the life of the middle and small students, and becomes a good helper for the learning of the middle and small students. The method is not only beneficial to improving the ability of students in middle and primary schools to study and exchange on the internet, helping children to increase knowledge, widen the visual field and enlighten wisdom, but also can more effectively stimulate the learning desire and curiosity of children, more effectively develop good behavior habits of independent thinking and coursing exploration of the students in middle and primary schools, and comprehensively educate and culture future builders and fellow-catchers in China.
At present, the traditional teaching analysis mode mostly adopts a mode of teachers for regular teaching and research, and means such as monitoring are installed in classrooms to monitor daily behaviors of students.
Disclosure of Invention
The invention provides an intelligent management system based on big data, which aims to solve the problems that in the prior art, a plurality of cameras are arranged in a classroom, which is convenient for a management student in a general school, can cause the student to generate conflicted emotion, is not beneficial to normal study of the student, and has high management cost.
In order to solve the technical problems, the invention provides an intelligent management system based on big data, which comprises an information acquisition module, a data analysis module, a data display module and a cloud server, wherein the information acquisition module transmits collected data to the data analysis module, the data analysis module transmits the collected data to the data display module, the information acquisition module transmits the collected data to the cloud server while transmitting the collected data to the data analysis module, the data analysis module transmits the collected data to the cloud server, and the cloud server can gather the data collected in the earlier stage and finally gather the data to the data display module.
Preferably, the data analysis module transmits the processed data to the cloud server, and the cloud server analyzes the data, feeds back the data, corrects the data and transmits the data to the data analysis module.
Preferably, the data acquisition module comprises a camera. The cloud server comprises an emotion feedback model.
The invention has the following beneficial effects:
(1) the invention can know the learning state of the student classroom in real time, know the emotional state and the learning concentration degree of the student classroom and provide powerful support for improving the education and teaching method.
(2) According to the invention, the emotional state of the student is analyzed through big data, the waste of teachers and resources is avoided, the monitoring quantity of classrooms is reduced, and the enthusiasm of the student on adverse psychology and influence on learning is avoided.
Drawings
FIG. 1 is a schematic diagram of a framework of a big data based intelligent management system according to the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments.
As shown in fig. 1, the embodiment of the invention provides an intelligent management system based on big data, which comprises an information acquisition module, a data analysis module, a data display module and a cloud server, wherein the information acquisition module transmits collected data to the data analysis module, the data analysis module transmits the collected data to the data display module, the information acquisition module transmits the collected data to the cloud server while transmitting the collected data to the data analysis module, the data analysis module transmits the collected data to the cloud server, and the cloud server collects data collected in an earlier stage and finally gathers the data to the data display module.
Further, the data analysis module transmits the processed data to the cloud server, and the cloud server analyzes the data, feeds back the data, corrects the data and transmits the data to the data analysis module.
Further, the data acquisition module comprises a camera. The cloud server comprises an emotion feedback model.
The working principle of the intelligent management system based on big data is as follows:
the information acquisition module can acquire images of the classroom state of the student; the data analysis module is connected with the information acquisition module and is used for carrying out data analysis on the collected images; the cloud server is connected with the data analysis module, and the data analysis module uploads the analyzed data result to the cloud server to be compared with a preset emotion parameter model; the data display module is connected with the cloud server and displays the emotional states and the analysis results of the students. The display module can be a computer, a mobile phone and the like. When the intelligent classroom learning system is used, the information acquisition module comprises a camera and can acquire classroom states of students in real time, the acquired information is subjected to data analysis through the data analysis module and then uploaded to the cloud server, the cloud server can be preset with emotional characteristics and parameter models corresponding to emotions, and emotion data obtained by the data analysis module is compared with data in the cloud server to obtain emotion states of the students. The image information of each student can be stored in the cloud server in advance, so that the image information acquired by the data acquisition module is compared, and the corresponding students can be matched. And the cloud server displays the compared data through the data display module. The cloud server is also provided with an emotion feedback model, so that emotion classification parameters can be corrected, emotion analysis tends to be accurate, and judgment of students' emotions is improved.
Therefore, the emotion state of the student can be effectively recognized through the platform, and the concentration degree of class learning of the student can be known, so that support is provided for improving the education and teaching method.
In conclusion, the invention can know the learning state of the student classroom in real time, know the emotional state and the learning concentration degree of the student classroom, provide powerful support for improving the education and teaching method, analyze the emotional state of the student through big data, avoid the waste of teachers and resources, reduce the monitoring amount of classrooms, avoid the adverse psychology of the student and influence the enthusiasm of learning
It should be noted that various standard components used in the present invention are commercially available, non-standard components are specially customized, and the connection manner adopted in the present invention, such as bolting, welding, etc., is also a very common means in the mechanical field, and the inventor does not need to describe herein any further.
The above description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (3)
1. The intelligent management system based on the big data comprises an information acquisition module, a data analysis module, a data display module and a cloud server and is characterized in that the information acquisition module transmits collected data to the data analysis module, the data analysis module transmits the collected data to the data display module, the information acquisition module transmits the collected data to the cloud server while transmitting the collected data to the data analysis module, the data analysis module transmits the collected data to the cloud server, and the cloud server can gather the data collected in the earlier stage and finally converge the data to the data display module.
2. The intelligent management system based on big data as claimed in claim 1, wherein the data analysis module transmits the processed data to the cloud server, and then the cloud server transmits the feedback modified data after analyzing the data to the data analysis module.
3. The big-data-based intelligent management system according to claim 1, wherein the data acquisition module comprises a camera. The cloud server comprises an emotion feedback model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911319795.1A CN111144261A (en) | 2019-12-19 | 2019-12-19 | Intelligent management system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911319795.1A CN111144261A (en) | 2019-12-19 | 2019-12-19 | Intelligent management system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111144261A true CN111144261A (en) | 2020-05-12 |
Family
ID=70518924
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911319795.1A Pending CN111144261A (en) | 2019-12-19 | 2019-12-19 | Intelligent management system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111144261A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106377248A (en) * | 2016-10-14 | 2017-02-08 | 智爱亿慈（北京）科技有限公司 | Brain information acquisition device, acquisition system and method |
| CN109214664A (en) * | 2018-08-21 | 2019-01-15 | 重庆乐教科技有限公司 | A kind of emotion-directed behavior overall analysis system based on artificial intelligence |
| CN109359521A (en) * | 2018-09-05 | 2019-02-19 | 浙江工业大学 | The two-way assessment system of Classroom instruction quality based on deep learning |
| KR20190077682A (en) * | 2017-12-26 | 2019-07-04 | 부경대학교 산학협력단 | System and Method for Analysing Urban Safety Index using Public Big Data and SNS Data |
-
2019
- 2019-12-19 CN CN201911319795.1A patent/CN111144261A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106377248A (en) * | 2016-10-14 | 2017-02-08 | 智爱亿慈（北京）科技有限公司 | Brain information acquisition device, acquisition system and method |
| KR20190077682A (en) * | 2017-12-26 | 2019-07-04 | 부경대학교 산학협력단 | System and Method for Analysing Urban Safety Index using Public Big Data and SNS Data |
| CN109214664A (en) * | 2018-08-21 | 2019-01-15 | 重庆乐教科技有限公司 | A kind of emotion-directed behavior overall analysis system based on artificial intelligence |
| CN109359521A (en) * | 2018-09-05 | 2019-02-19 | 浙江工业大学 | The two-way assessment system of Classroom instruction quality based on deep learning |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110334610B (en) | Multi-dimensional classroom quantification system and method based on computer vision | |
| Alavi et al. | An ambient awareness tool for supporting supervised collaborative problem solving | |
| CN109214664B (en) | Emotional behavior comprehensive analysis system based on artificial intelligence | |
| Apau | Technological Pedagogical Content Knowledge Preparedness of Student-Teachers of the Department of Arts and Social Sciences Education of University of Cape Coast. | |
| CN106205243A (en) | A kind of teaching system for aided education process and teaching method | |
| CN108304779B (en) | Intelligent regulation and control method for student education management | |
| CN109584128A (en) | A kind of overall education learning platform based on cloud computing analysis | |
| Di Mitri et al. | The Big Five: Addressing Recurrent Multimodal Learning Data Challenges. | |
| Howard et al. | Using data mining and machine learning approaches to observe technology-enhanced learning | |
| CN111968431A (en) | Remote education and teaching system | |
| CN110807722A (en) | Achievement feedback statistical system for informatization teaching | |
| CN108735031A (en) | A kind of teaching and training system based on virtual reality | |
| Liu et al. | Beyond Log Files: Using Multi-Modal Data Streams towards Data-Driven KC Model Improvement. | |
| Raca et al. | Classroom social signal analysis | |
| CN112164259A (en) | Classroom teacher-student interactive teaching system and method | |
| CN111144261A (en) | Intelligent management system based on big data | |
| Bull et al. | Helping teachers effectively support group learning | |
| CN110929991A (en) | Learning quality assessment system and method based on classroom student behavior analysis | |
| CN102903066A (en) | System and method for displaying growth recording and quality early warning based on different terminals | |
| CN109829682A (en) | A kind of network class's of looking into system and method online | |
| CN209746824U (en) | Smart classroom cloud platform | |
| Lian et al. | Exploration and reform of electronic technology experiments in electrical engineering education | |
| Yang et al. | Data-driven modeling of engagement analytics for quality blended learning | |
| Toprak et al. | Where the rivers merge: Cognitive diagnostic approaches to educational assessment | |
| CN112614391A (en) | Learning promotion system based on ability level |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200512 |