CN115456843A - Intelligent wind control system and method based on study-keeping big data analysis - Google Patents
Intelligent wind control system and method based on study-keeping big data analysis Download PDFInfo
- Publication number
- CN115456843A CN115456843A CN202211115652.0A CN202211115652A CN115456843A CN 115456843 A CN115456843 A CN 115456843A CN 202211115652 A CN202211115652 A CN 202211115652A CN 115456843 A CN115456843 A CN 115456843A
- Authority
- CN
- China
- Prior art keywords
- module
- personnel
- information
- study
- relationship
- 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
- 238000007405 data analysis Methods 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 title claims abstract description 11
- 238000012163 sequencing technique Methods 0.000 claims abstract description 7
- 238000009960 carding Methods 0.000 claims abstract description 6
- 230000006399 behavior Effects 0.000 claims description 19
- 230000004308 accommodation Effects 0.000 claims description 13
- 230000000875 corresponding effect Effects 0.000 claims description 5
- 230000001939 inductive effect Effects 0.000 claims description 3
- 230000000295 complement effect Effects 0.000 claims description 2
- 230000002596 correlated effect Effects 0.000 claims description 2
- 238000011835 investigation Methods 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
Abstract
The invention discloses an intelligent wind control system and method based on the study-leaving big data analysis, belonging to the technical field of study-leaving big data analysis, comprising a control center, a cloud storage unit, an information input module, a marking module, an automatic sequencing module, a list creation module, an information search module, a personnel relationship carding module, a sub-module and an investigation questionnaire module; personnel's relation carding module jumps the module including personnel's relation connection module and personnel's relation, can help the campus manage and understand domestic study-leaving personnel, through knowing its daily information, can understand its life situation, carry out certain degree of subsidy to poverty-lacking personnel, can make it seek study at domestic better, can the auxiliary personnel learn the psychological condition of study-leaving personnel or the condition that other campuses wanted the investigation through the questionnaire, the better understanding that carries out the psychology to it, all have better concern to its life and psychology, and the information that has passed through personnel's correlation is combed.
Description
Technical Field
The invention relates to the technical field of academic big data analysis, in particular to an intelligent wind control system and method based on the academic big data analysis.
Background
With the development of society, global economy and personnel movement, a great amount of personnel movement exists among countries in the aspect of repairing and learning, and the study is an important way for exchanging national knowledge.
The number of people leaving study at home and abroad is large, the appearance of an intelligent wind control system based on the analysis of big data of leaving study is very necessary under the principle of considering safety and concern, and no mature wind control system exists at present, so that the management of people is difficult to effectively carry out.
Disclosure of Invention
The invention aims to provide an intelligent wind control system and method based on study-keeping big data analysis, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent wind control system based on study-keeping big data analysis comprises a control center, a cloud storage unit, an information input module, a marking module, an automatic sorting module, a list creating module, an information searching module, a personnel relation combing module, a sub-module and an investigation questionnaire module;
the personnel relationship carding module comprises a personnel relationship connecting module and a personnel relationship skipping module, the personnel relationship connecting module is used for displaying a target person in a picture and text mode according to the registered related personnel relationship, and the homepage of the person can be accessed by clicking the personnel relationship skipping module so as to become the target person;
the marking module is used for marking and lighting the input personnel for reminding the searching personnel of knowing problems to be processed of the personnel next time; the automatic sequencing module is used for sequencing the input study reservation personnel according to the category of the country; the creation list module is used for carrying out inductive combination by system management personnel according to personnel with the same characteristics in different countries of the study reservation personnel; the information searching module is used for searching and displaying target personnel for the input key times; the sub-module is an account number of the student corresponding to the identity and is only used for submitting information.
Preferably, the questionnaire module comprises a question creating module and a questionnaire timing module, wherein the question creating module is used for uploading the designed questions of the questionnaire through system management personnel, and then when the questionnaire is set, the questionnaire content is sent to an account sub-module of system students through the questionnaire timing module for the students to answer, enter and upload the information.
Preferably, the information of the personnel managed in the information entry module is age information, national information, college and professional information, contact information, accommodation information, money consumption behavior, past resume information, head portrait and face information, name information and behavior information.
Preferably, the behavior information includes bonus behaviors and penalty behaviors.
Preferably, the personnel relationship combing module is used for combing country relationship correspondence, combing accommodation personnel relationship and combing accommodation personnel correlation, and the accommodation personnel correlation combing is used for combing and tracking derived correlation people of the study-leaving target personnel.
Preferably, the lodging personnel relationship combing content is a campus lodging bedroom number and a personnel list, and an outside lodging address and a co-living personnel list.
Preferably, the money consumption behavior is to understand the domestic standard of life of the study keeper and to better complement the difficult target people to a certain extent.
An intelligent wind control method based on big data analysis of study reservation comprises the following steps:
step one, foreign study-reserving personnel in China enter information through a sub-module by using an information entry module;
secondly, the personnel relationship of the target personnel is combed through a personnel relationship combing module;
the third step is that the target person can be correspondingly found through the information searching module in the using process, and the person relationship combing module of the motor target person can be used for the relation person to connect the person with the relevant identity information of the target person, such as the information of the identities of the persons such as roommates, community joint persons, colleagues, boys and girls; the marking module can be used for lightening and marking yellow for target personnel, and the target personnel are problem personnel, or a plurality of personnel with the same characteristics are subjected to list creation management;
and step four, through a timing difference adjustment questionnaire, a manager can be assisted to perform questionnaire on the students to learn the situation of target personnel to be learned.
Compared with the prior art, the invention has the beneficial effects that: can help the campus to come domestic personnel of leaving a study to manage and understand, through knowing its daily information, can know its life situation, carry out the subsidy of certain degree to poverty personnel, can make it at domestic better study, propose into international image, can the auxiliary personnel learn the psychological condition of personnel of leaving a study or the condition that other campuses want the investigation through the questionnaire, better carry out psychological understanding to it, all have better attention to its life and psychology, and the information that has passed through personnel's relatives is combed, can have better assurance to aspects such as its personal safety, know personal security in the same place, can assist follow-up condition personnel's investigation, and convenient to use.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of the integrated system of the present invention;
FIG. 2 is a block diagram of an information entry module of the present invention;
FIG. 3 is a schematic diagram of the relationship combing of the accommodation personnel according to the present invention;
FIG. 4 is a frame diagram of a people relationship carding module of the present invention;
FIG. 5 is a block diagram of a questionnaire module of the present invention;
fig. 6 is a schematic diagram of behavior information in accordance with the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 6, the present invention provides an intelligent wind control system and method based on big data analysis for study, and the technical solution is as follows: the system comprises a control center, a cloud storage unit, an information input module, a marking module, an automatic sorting module, a list creation module, an information search module, a personnel relationship combing module, a sub-module and an investigation questionnaire module;
the personnel relationship carding module comprises a personnel relationship connecting module and a personnel relationship skipping module, the personnel relationship connecting module is used for displaying a target person in a picture and text mode according to the registered related personnel relationship, and the homepage of the person can be accessed by clicking the personnel relationship skipping module so as to become the target person;
the marking module is used for marking and lighting the input personnel for reminding the searching personnel of knowing problems to be processed of the personnel next time; the automatic sequencing module is used for sequencing the input study reservation personnel according to the type of the country; the creation list module is used for carrying out inductive combination by system management personnel according to personnel with the same characteristics in different countries of the study reservation personnel; the information searching module is used for searching and displaying target personnel for the input key times; the sub-module is an account number of the student corresponding to the identity and is only used for submitting information.
The questionnaire module comprises a question creating module and an questionnaire sending timing module, wherein the question creating module is used for uploading the designed questions of the questionnaire through system management personnel, and then sending the questionnaire contents to an account submodule of system students through the questionnaire sending timing module for the students to answer, enter and upload the information when the questionnaire is set.
The personnel information managed in the information input module is age information, national information, college and professional information, contact information, accommodation information, money consumption behavior, past resume information, head portrait and face information, name information and behavior information, and the behavior information comprises bonus behavior and punishment behavior.
The personnel relationship combing module is used for correspondingly combing the national relationship, the lodging personnel relationship combing and lodging personnel correlation combing, the lodging personnel correlation combing is the combing and tracking of the derivative correlated persons of the study reservation target personnel, and the lodging personnel relationship combing content is the campus lodging bedroom number and the personnel list, the outside lodging address and the co-living personnel list.
The behavior of spending money is for understanding the standard of life of the person who stays at home, and the better helps difficult target person to a certain extent, can make it seek study at home better, presents international image, can learn the psychological condition of the person who stays at home or the condition that other campuses want to investigate through the questionnaire by the auxiliary personnel, and the better understanding carries out the psychology to it, all has better concern to its life and psychology.
Step one, foreign study-reserving personnel in China enter information through a sub-module by using an information entry module;
secondly, combing the personnel relationship of the target personnel through a personnel relationship combing module;
step three, in the using process, the target person can be correspondingly found through the information searching module, and the person relationship combing module of the target person is used for enabling the relation person to be connected with the person with the relevant identity information with the target person, such as the identity information of the person in a roommate, the community common person, the colleague, the man and the woman; the marking module can be used for lightening and marking yellow for target personnel, and the target personnel are problem personnel, or a plurality of personnel with the same characteristics are subjected to list creation management;
step four, through the timing difference adjustment questionnaire, managers can be assisted to questionnaire students, and the conditions of target people for study are known;
can help the campus to come domestic personnel of leaving a study to manage and understand, through knowing its daily information, can know its life situation, carry out the subsidy of certain degree to poverty personnel, can make it at domestic better study, propose into international image, can the auxiliary personnel learn the psychological condition of personnel of leaving a study or the condition that other campuses want the investigation through the questionnaire, better carry out psychological understanding to it, all have better attention to its life and psychology, and the information that has passed through personnel's relatives is combed, can have better assurance to aspects such as its personal safety, know personal security in the same place, can assist follow-up condition personnel's investigation, and convenient to use.
The product model provided by the invention is only used according to the structural characteristics of the product, the product can be adjusted and modified after being purchased to be more matched and consistent with the technical scheme of the invention, the product model is an optimal application technical scheme, the product model can be replaced and modified according to the required technical parameters, and the product model is well known by the technical personnel in the field, so that the technical scheme provided by the invention can clearly obtain the corresponding use effect.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. An intelligent wind control system based on study-keeping big data analysis is characterized by comprising a control center, a cloud storage unit, an information input module, a marking module, an automatic sorting module, a list creating module, an information searching module, a personnel relation combing module, a sub-module and an questionnaire module;
the personnel relationship carding module comprises a personnel relationship connecting module and a personnel relationship skipping module, the personnel relationship connecting module is used for displaying a target person in a picture and text mode according to the registered related personnel relationship, and the homepage of the target person can be accessed by clicking the personnel relationship skipping module so as to become the target person;
the marking module is used for marking and lighting the input personnel for reminding the searching personnel of knowing problems to be processed of the personnel next time; the automatic sequencing module is used for sequencing the input study reservation staff according to the category of the country; the creation list module is used for carrying out inductive combination by system management personnel according to personnel with the same characteristics in different countries of the study reservation personnel; the information searching module is used for searching and displaying target personnel for the input key times; the sub-module is an account number of the student corresponding to the identity and is only used for submitting information.
2. The intelligent wind control system based on big data analysis of leaving-to-study of claim 1, characterized in that: the questionnaire module comprises a question creating module and a questionnaire timing module, wherein the question creating module is used for uploading the designed questions of the questionnaire through system management personnel, and then when the questionnaire is set, the questionnaire content is sent to an account sub-module of system students through the questionnaire timing module for the students to answer, enter and upload the information.
3. The intelligent wind control system based on the big data analysis of study keeping on study of claim 1, characterized in that: the personnel information managed in the information input module is age information, national information, college and professional information, contact information, accommodation information, money consumption behavior, past resume information, head portrait and face information, name information and behavior information.
4. The intelligent wind control system based on the big data analysis of study keeping in mind according to claim 3, characterized in that: the behavior information comprises bonus behaviors and penalty behaviors.
5. The intelligent wind control system based on big data analysis of leaving-to-study of claim 1, characterized in that: the personnel relationship combing module is used for combing the corresponding country relationship, combing the relationship of accommodation personnel and combing the correlation of accommodation personnel, and the correlation of accommodation personnel is combed and tracked by the derived correlated people of the study reservation target personnel.
6. The intelligent wind control system based on big data analysis of leaving-to-study of claim 5, characterized in that: the accommodation personnel relationship combing content comprises campus accommodation bedroom number and personnel list, outside accommodation address and co-resident list.
7. The intelligent wind control system based on big data analysis of leaving-to-study of claim 1, characterized in that: the money consumption behavior is to understand the domestic standard of life of the study-leaving personnel and to better complement the difficult target people to a certain extent.
8. An intelligent wind control method based on big data analysis of study reservation is characterized by comprising the following steps:
step one, foreign study-leaving personnel from home use information input module to input information through sub-module;
secondly, the personnel relationship of the target personnel is combed through a personnel relationship combing module;
step three, in the using process, the target person can be correspondingly found through the information searching module, and the person relationship combing module of the target person is used for connecting the related person with the relevant identity information of the target person; the marking module can be used for lightening and marking yellow on a target person to be a problem person, or a plurality of persons with the same characteristics can be subjected to list creation management;
and step four, through a timing difference adjustment questionnaire, a manager can be assisted to perform questionnaire on the students to learn the situation of target personnel to be learned.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211115652.0A CN115456843A (en) | 2022-09-14 | 2022-09-14 | Intelligent wind control system and method based on study-keeping big data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211115652.0A CN115456843A (en) | 2022-09-14 | 2022-09-14 | Intelligent wind control system and method based on study-keeping big data analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115456843A true CN115456843A (en) | 2022-12-09 |
Family
ID=84303012
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211115652.0A Pending CN115456843A (en) | 2022-09-14 | 2022-09-14 | Intelligent wind control system and method based on study-keeping big data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115456843A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050282125A1 (en) * | 2004-06-17 | 2005-12-22 | Coray Christensen | Individualized retention plans for students |
| US20100009330A1 (en) * | 2008-07-08 | 2010-01-14 | Starfish Retention Solutions, Inc. | Method for providing a success network and assessing engagement levels between students and providers |
| CN112182057A (en) * | 2019-08-29 | 2021-01-05 | 盈盛智创科技(广州)有限公司 | Project matching method, device and equipment based on block chain and storage medium |
| CN113010572A (en) * | 2021-03-18 | 2021-06-22 | 杭州码全信息科技有限公司 | Public digital life scene rule model prediction early warning method based on deep Bayesian network |
| CN113688170A (en) * | 2021-08-20 | 2021-11-23 | 中国联合网络通信集团有限公司 | Campus management method, device, equipment and storage medium |
| CN113935874A (en) * | 2021-10-27 | 2022-01-14 | 重庆工业职业技术学院 | District chain-based book management system for studying income |
| CN114003586A (en) * | 2021-11-19 | 2022-02-01 | 华讯高科股份有限公司 | Construction method of intelligent education big data platform |
-
2022
- 2022-09-14 CN CN202211115652.0A patent/CN115456843A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050282125A1 (en) * | 2004-06-17 | 2005-12-22 | Coray Christensen | Individualized retention plans for students |
| US20100009330A1 (en) * | 2008-07-08 | 2010-01-14 | Starfish Retention Solutions, Inc. | Method for providing a success network and assessing engagement levels between students and providers |
| CN112182057A (en) * | 2019-08-29 | 2021-01-05 | 盈盛智创科技(广州)有限公司 | Project matching method, device and equipment based on block chain and storage medium |
| CN113010572A (en) * | 2021-03-18 | 2021-06-22 | 杭州码全信息科技有限公司 | Public digital life scene rule model prediction early warning method based on deep Bayesian network |
| CN113688170A (en) * | 2021-08-20 | 2021-11-23 | 中国联合网络通信集团有限公司 | Campus management method, device, equipment and storage medium |
| CN113935874A (en) * | 2021-10-27 | 2022-01-14 | 重庆工业职业技术学院 | District chain-based book management system for studying income |
| CN114003586A (en) * | 2021-11-19 | 2022-02-01 | 华讯高科股份有限公司 | Construction method of intelligent education big data platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hall et al. | Analyzing what change facilitators do: The intervention taxonomy | |
| Brantlinger | Chapter 1: Ideologies discerned, values determined: Getting past the hierarchies of special education | |
| Li et al. | The media public opinion analysis on the implementation of “double reduction” policy in education based on big data | |
| Louis | How individuals conceptualize conflict: Identification of steps in the process and the role of personal/developmental factors | |
| CN115456843A (en) | Intelligent wind control system and method based on study-keeping big data analysis | |
| Hollenweger | Beyond categories and labels: Knowledge to support assessment for learning | |
| Qu | Case studies towards the analysis of total social construction | |
| Cai et al. | A general review of entrepreneurship research (1998 to 2010): Theoretical implications, management applications and future research directions | |
| Bessho et al. | Building an administrative database of children | |
| Bahadori et al. | Content analysis of national documents on scientific cooperation and interactions between faculty members in Agricultural Higher Education System | |
| Yang | Effect of Reading Activities on Children’s Mental Health under the Environment of Artificial Intelligence and Deep Learning | |
| Wang | DESIGN OF INTELLIGENT SERVICE SYSTEM FOR MIDDLE SCHOOL STUDENTS'GROWTH BASED ON CROSS DOMAIN BIG DATA FUSION | |
| Sellin | The sociological study of criminality | |
| Dixon | A Critical Quantitative Exploration of the State of Black Education | |
| Hua | Research on Ideological and Political Education of Higher Vocational College Students' Network Groups in the New Era | |
| Du | Research on the Construction of Educational Data Quality Model Based on Multiple Constraints Model | |
| Chunqiao et al. | Method and System Constructing for Learning Situation Early Warning based on Data Mining Techniques | |
| Giavrimis | Inclusion of disabled immigrants/refugees in the Greek educational system: Views of primary school teachers | |
| Copes et al. | Visual Data Collection in Justice Research: From Photos and Film to Maps and Meaning | |
| Denny | Caribbean Vision, West Indian Practice: Conflicts of Edutocracy and Elitism in Education Reform. | |
| Azizi et al. | Presenting an Integrated Model of Demetel Method and Fuzzy Hierarchical Analysis Process to Identify and Prioritize the Factors Affecting the Quality of Financial information in the Public Sector Based on the Grounded Theory Approach | |
| Ferrero | “Prediction” in Educational Research: a Bibliographic Mapping of Academic Production Over Time | |
| Zhou et al. | An Intelligent Evaluation Application for English Teaching in College | |
| CN117710164A (en) | Learning ability evaluation system based on fuzzy neural network and implementation method thereof | |
| Cooley et al. | Utilization and the Role of the Dissemination Process |
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: 20221209 |