CN107679663A - A kind of educational resource monitoring and warning system - Google Patents
A kind of educational resource monitoring and warning system Download PDFInfo
- Publication number
- CN107679663A CN107679663A CN201710934097.7A CN201710934097A CN107679663A CN 107679663 A CN107679663 A CN 107679663A CN 201710934097 A CN201710934097 A CN 201710934097A CN 107679663 A CN107679663 A CN 107679663A
- Authority
- CN
- China
- Prior art keywords
- subsystem
- school district
- information
- school
- resource
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 52
- 238000004458 analytical method Methods 0.000 claims abstract description 43
- 230000008859 change Effects 0.000 claims abstract description 10
- 238000005516 engineering process Methods 0.000 claims abstract description 9
- 230000002452 interceptive effect Effects 0.000 claims description 9
- 241001269238 Data Species 0.000 claims description 6
- 230000004927 fusion Effects 0.000 claims description 5
- 230000003993 interaction Effects 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000007726 management method Methods 0.000 claims description 3
- 238000007619 statistical method Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims 1
- 238000005065 mining Methods 0.000 claims 1
- 238000012098 association analyses Methods 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 3
- 238000009412 basement excavation Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000004807 localization Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000010845 search algorithm Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000001154 acute effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to a kind of city basic education monitoring resource early warning system, system is mainly made up of five functional module：School district positioning, source of students prediction, overload early warning, policy and suggestion and mobile informatiom.The system increases educational resource, city space geography information, family planning, demographic change, house prosperity transaction data newly by merging school district, utilize big data analytical technology, including association analysis, causality analysis, the forecast analysis to school district school-age children's number, estimated enrollment is realized, and suggestion policy is pushed to related education department.City basic education monitoring resource early warning system proposed by the present invention can effectively solve the problems such as current school district educational resource skewness, child's difficult schooling, be capable of the Huimin service of effective Improving Government.
Description
Technical field
The present invention relates to big data, system analysis technique, and in particular to a kind of educational resource monitoring and warning system.
Background technology
Currently, high-quality educational resources belong to scarce resource, and various regions are in the prevalence of " difficult schooling ", " educational resource is distributed not
Phenomenon ".
At present, for the present situation of existing educational resource accessibility subject research deficiency, article《Improve mobile search algorithm
Educational resource approachability analysis》By quantitative analysis admission time cost, Enterprises of Futian District primary school service range is drawn
It is fixed, and combine existing school district and divide, based on mobile search algorithm, introduce Huff models for mechanism of actually selecting a school and calculated
Method is improved, and quantitatively evaluating is carried out to primary school's accessibility.Test result indicates that this method can be realized to research primary school of area layout
Scientific evaluation, rational suggestion is provided for school's siteselecting planning.
Document《Beijing's population-educational resource reconciling spatial scale degree analysis》Middle proposition is by taking Beijing as an example, by school age people
The statistics of mouth distributed data and educational resource general layout, carries out calculating analysis, and carry out with space length degree of models of coordinating
Historical comparison.Its result of study shows：Middle school teaching and administrative staff distribution, school distribution, and the enrollment Distribution Pattern of kindergarten with
The reconciling spatial scale degree of school age population is higher, each district kindergarten, school's number of primary school and quantity of staff and faculty and the sky of school-ager
Between degrees of coordination it is not high；Fengtai, Changping, Chaoyang, the educational resource in four areas in Daxing are deficienter, wherein Changping, big Xinghe Tongzhou
Educational resource scarcity phenomenon than 6 years before it is more acute, Dongcheng District, the educational resource of Xicheng District have with respect to permanent resident population to be largely full of
It is remaining；The historical comparison of composite index shows, before the population-educational resource degrees of coordination of 2012 is less than 6 years；Restrict population and religion
The key factor for educating resource coordination degree is that population general layout changes rapid, educational resource especially high-quality educational resources and excessively gathered
Combine in main city space；Information gathering reponse system imperfection, educational resource self-coordination, optimization ability are weaker.Therefore, it is necessary to
The information-based coordination system of population-educational resource is established, and the data such as teaching job number, financial input and school's quality are included and are
System, promote the quick obtaining of population education resource information and coordinate in time.
Document《Compulsory education resource placement of Pei County primary school analysis based on GIS》It is small with the natural village of Pei County 1112,119 institutes
Learn and transportation network is distributed as data source, establish GIS database, on the one hand, by distribution density, distribution center, point general layout class
3 index analysis residential areas of type and school's distribution characteristics；On the other hand, use ratio model, minimum distance model and accumulation machine
Meeting model is probed into spatial accessibility results and shown：Pei County residential area is in Assembled distribution, and primary school is in the feature of random distribution；School
Educational resource, service ability and traffic accessibility distributional difference spatially it is notable, it is the imperial Guzhen of Middle Eastern, abundant
Cities and towns, Datun Town resource are sufficient, and layout is relatively reasonable, and admission range averaging is less than 3km, selects School children to be more than 9, and western
Portion edge remote districts, especially the higher regions resources of Lu Lou towns, Qi Shan towns, river mouth town western part physical features are deficient and distribution does not conform to
Reason, every thousand people quantity of teachers are less than 4, and average admission distance is more than 6km, it would be highly desirable to optimizes.
Therefore, establish city basic education monitoring resource early warning system has very to the optimization problem for solving educational resource
Important effect.And in the prior art, not yet see the related system that information is comprehensive, interaction is abundant in time, warning information is perfect.
The content of the invention
The problem of existing for prior art, a kind of educational resource monitoring and warning system proposed by the present invention are learned by merging
Area increases educational resource, city space geography information, family planning, demographic change, house prosperity transaction data newly, utilizes big data analytical technology
(association analysis, causality analysis), the forecast analysis to school district school-age children's number, estimated enrollment is realized, and educated to correlation
Department pushes suggestion policy.The system can effectively solve the problem that the problem of there is currently, and promote novel information technology and education and instruction
Depth integration, optimizating education resource distribution and teaching management mode.
To achieve the above object, the present invention proposes a kind of educational resource monitoring and warning system, including：School district positions subsystem
System, the bearing capacity prediction and warning for school district are analyzed；
Source of students predicting subsystem, for school district source of students forecast analysis；
Overload early warning subsystem, for school district overload and unloaded source of students statistical information and forecast analysis；
Resource decision subsystem, for generating the report of integrated education monitoring resource early warning analysis, and provide decision-making opinion.
The educational resource monitoring and warning system, educational resource, city space geography information, meter are increased newly by merging school district
Life, demographic change, house prosperity transaction data, using big data analytical technology, realize to school district school-age children's number, estimated enrollment
Forecast analysis, and push suggestion policy.
Further, educational resource monitoring and warning system, including mobile informatiom subsystem, the mobile informatiom subsystem base
In the wisdom education application of Mobile solution and public's interaction platform, including the news briefing of mobile terminal, information bulletin, public opinion pipe
Control, consulting paying service.
Specifically, the school district positioning subsystem is based on generalized information system, realize to each popular school district money in interest region
Source localization, and each school district boundary demarcation figure layer is provided, the source of students predicting subsystem provides in interest region and school district
In the range of movement of population monitoring analysis, and combine family planning, demographic change, the convergence analysis of house prosperity transaction data in school district, it is real
Existing school district source of students forecast analysis, the overload early warning subsystem, each school district bearing capacity in regions of interest is provided based on generalized information system
Comprehensive situation, generate the overload of each school district and unloaded source of students statistical information, realize whole district's school-age children's data prediction analysis, it is described
Resource decision subsystem, statistical value, generation are predicted based on each school district bearing capacity statistical analysis value, and each section school-age children
Integrated education monitoring resource early warning analysis is reported, and provides industry specialists policy and suggestion editting function, and to government's Push Service.
Further, the source of students predicting subsystem and school district positioning subsystem, source of students predicting subsystem and resource decision
Subsystem, source of students predicting subsystem and overload early warning subsystem, school district positioning subsystem and resource decision subsystem, resource decision
There is interactive relation between subsystem and mobile consulting subsystem, interactive interface type is API or WebService.
Specifically, the source of students predicting subsystem sends source of students information of forecasting, to the resource decision subsystem
Area's positioning subsystem sends school district resource information to the resource decision subsystem, and the overload early warning subsystem is to resource decision
Subsystem sends school district loaded information, and the mobile consulting subsystem sends source of students consultation information, institute to resource decision subsystem
State source of students predicting subsystem and send school-age children's information of forecasting to school district positioning subsystem, the resource decision subsystem is to school district
Positioning subsystem sends school district planning information, and the resource decision subsystem sends Notices ＆ Information letter to mobile consulting subsystem
Breath, the source of students predicting subsystem send school district source of students information of forecasting to overload early warning subsystem.
Further, by service request, using API or web Service interface, to other external data centers, education
The built operation system of department and the application of city mobile terminal obtain all kinds of basic datas, business datum, by fusion treatment and excavation
Thematic application data is generated after analysis.Meanwhile educational resource monitoring and warning system, pushed away to the built related service system of education department
Policy and suggestion are sent, and is opened to data and pushes thematic application message with information service system；Pass through mobile terminal application issue authority
Consultation information, data center periodically is arrived into the storage of all kinds of thematic datas.
Specifically, education department's operation system to educational resource monitoring and warning system send business information, it is described its
He applies at external data center to educational resource monitoring and warning system transmission population, teaching basis information, the mobile terminal, Xiang Jiao
Educate monitoring resource early warning system and send registration, consulting, payment information.
Further educational resource monitoring and warning system sends school district overload, unloaded feelings to education department's operation system
The policy and suggestion information such as condition statistics, school district division；To education department's operation system sends school district distribution special topic, enrollment is suggested
Information；The information services such as school's enrollment, consulting payment are sent to education department's operation system.
Brief description of the drawings
Fig. 1 is educational resource monitoring and warning systemic-function composition figure；
Fig. 2 is educational resource monitoring and warning internal system interactive relation figure；
Fig. 3 is educational resource monitoring and warning its exterior interactive relation figure.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated, it will be appreciated that specific embodiment described herein is only to explain the present invention, not
For limiting the present invention.
The embodiment of the present invention proposes a kind of educational resource monitoring and warning system, as shown in figure 1, including：
School district positioning subsystem, the bearing capacity prediction and warning for school district are analyzed；
Source of students predicting subsystem, for school district source of students forecast analysis；
Overload early warning subsystem, for school district overload and unloaded source of students statistical information and forecast analysis；
Resource decision subsystem, for generating the report of integrated education monitoring resource early warning analysis, and provide decision-making opinion.
The educational resource monitoring and warning system, educational resource, city space geography information, meter are increased newly by merging school district
Life, demographic change, house prosperity transaction data, using big data analytical technology, realize to school district school-age children's number, estimated enrollment
Forecast analysis, and push suggestion policy.
Further, educational resource monitoring and warning system, including mobile informatiom subsystem, the mobile informatiom subsystem base
In the wisdom education application of Mobile solution and public's interaction platform, including the news briefing of mobile terminal, information bulletin, public opinion pipe
Control, consulting paying service.
Specifically, the school district positioning subsystem is based on generalized information system, realize to each popular school district money in interest region
Source localization, and each school district boundary demarcation figure layer is provided, the source of students predicting subsystem provides in interest region and school district
In the range of movement of population monitoring analysis, and combine family planning, demographic change, the convergence analysis of house prosperity transaction data in school district, it is real
Existing school district source of students forecast analysis, the overload early warning subsystem, each school district bearing capacity in regions of interest is provided based on generalized information system
Comprehensive situation, generate the overload of each school district and unloaded source of students statistics letter suffered from, realize whole district's school-age children's data prediction analysis, it is described
Resource decision subsystem, statistical value, generation are predicted based on each school district bearing capacity statistical analysis value, and each section school-age children
Integrated education monitoring resource early warning analysis is reported, and provides industry specialists policy and suggestion editting function, and to government's Push Service.
Further, the source of students predicting subsystem and school district positioning subsystem, source of students predicting subsystem and resource decision
Subsystem, source of students predicting subsystem and overload early warning subsystem, school district positioning subsystem and resource decision subsystem, resource decision
There is interactive relation between subsystem and mobile consulting subsystem, interactive interface type is API or WebService.
Specifically, the source of students predicting subsystem sends source of students information of forecasting, to the resource decision subsystem
Area's positioning subsystem sends school district resource information to the resource decision subsystem, and the overload early warning subsystem is to resource decision
Subsystem sends school district loaded information, and the mobile consulting subsystem sends source of students consultation information, institute to resource decision subsystem
State source of students predicting subsystem and send school-age children's information of forecasting to school district positioning subsystem, the resource decision subsystem is to school district
Positioning subsystem sends school district planning information, and the resource decision subsystem sends Notices ＆ Information letter to mobile consulting subsystem
Breath, the source of students predicting subsystem send school district source of students information of forecasting to overload early warning subsystem, and specifying information is as shown in table 1.
Further, by service request, using API or web Service interface, to other external data centers, education
The built operation system of department and the application of city mobile terminal obtain all kinds of basic datas, business datum, by fusion treatment and excavation
Thematic application data is generated after analysis.Meanwhile educational resource monitoring and warning system, pushed away to the built related service system of education department
Policy and suggestion are sent, and is opened to data and pushes thematic application message with information service system；Pass through mobile terminal application issue authority
Consultation information, data center periodically is arrived into the storage of all kinds of thematic datas, external interface interactive relation is as shown in Figure 3.
Specifically, education department's operation system to educational resource monitoring and warning system send business information, it is described its
He applies at external data center to educational resource monitoring and warning system transmission population, teaching basis information, the mobile terminal, Xiang Jiao
Educate monitoring resource early warning system and send registration, consulting, payment information.
Further educational resource monitoring and warning system sends school district overload, unloaded feelings to education department's operation system
The policy and suggestion information such as condition statistics, school district division；To education department's operation system sends school district distribution special topic, enrollment is suggested
Information；It is as shown in table 2 that information service, the specifying informations such as school's enrollment, consulting payment are sent to education department's operation system.
Another embodiment of the present invention proposes a specific application, including：
Comprehensively utilize database technology, ETL instruments to each school district data resource, city space geodata, family planning data,
Demographic change data, house prosperity transaction data etc. are acquired, integrated；
Further, the data based on integration, using machine learning algorithm, to each school district house prosperity transaction data, family planning number
Convergence analysis is carried out according to, demographic change data, calculates the discreet value of each school district school-age children number；
Further, the estimated enrollment in school district school-age children's number discreet value and school district is compared, when estimating
For value more than when recruiting several in advance, the school district belongs to educational resource overload；Otherwise, educational resource belongs to unloaded；
Preferably, with reference to the analysis of data above, based on ArcGIS platforms, each school district educational resource is determined using GIS figures
Position analysis, school district boundary demarcation, there is provided each school district bearing capacity prediction and warning；
Preferably, generation monitoring and warning report is analyzed school district Resource Fusion, is led using Webservice technologies to education
The enrollment policy suggestion of pipe portion door push primary school；
Further, the wisdom education application based on public's interaction platforms such as the existing APP in city, it is various kinds of schools, teacher
Raw, parent provides the consulting of mobile terminal campus, the main news briefing including actual effect, information bulletin, public opinion management and control, consulting payment.
Claims (13)
1. a kind of educational resource monitoring and warning system, including：
School district positioning subsystem, the bearing capacity prediction and warning for school district are analyzed；
Source of students predicting subsystem, for school district source of students forecast analysis；
Overload early warning subsystem, for school district overload and unloaded source of students statistical information and forecast analysis；
Resource decision subsystem, for generating the report of integrated education monitoring resource early warning analysis, and provide decision-making opinion.
2. educational resource monitoring and warning system as claimed in claim 1, educational resource, city space are increased newly by merging school district
Geography information, family planning, demographic change, house prosperity transaction data, using big data analytical technology, realize to school district school-age children's number,
It is expected that the forecast analysis of enrollment, and push suggestion policy.
3. educational resource monitoring and warning system as claimed in claim 1, including mobile informatiom subsystem, mobile informatiom
Wisdom education application of the system based on Mobile solution and public's interaction platform, including the news briefing of mobile terminal, information bulletin, carriage
By management and control, consulting paying service.
4. educational resource monitoring and warning system as claimed in claim 1, the school district positioning subsystem is based on generalized information system, real
Now each popular school district Resource orientation in interest region is analyzed, and provides each school district boundary demarcation figure layer.
5. educational resource monitoring and warning system as claimed in claim 1, the source of students predicting subsystem provides interest region
Movement of population monitoring analysis in the range of interior and school district, and combine family planning, demographic change, the fusion of house prosperity transaction data in school district
Analysis, realizes school district source of students forecast analysis.
6. educational resource monitoring and warning system as claimed in claim 1, the overload early warning subsystem, are carried based on generalized information system
For the comprehensive situation of each school district bearing capacity in regions of interest, each school district overload and unloaded source of students statistical information are generated, is realized complete
Area's school-age children's data prediction analysis.
7. educational resource monitoring and warning system as claimed in claim 1, the resource decision subsystem, carried based on each school district
Ability statistical analysis value, and each section school-age children predict statistical value, and generation integrated education monitoring resource early warning analysis is reported,
And industry specialists policy and suggestion editting function is provided, and to government's Push Service.
8. educational resource monitoring and warning system as claimed in claim 1, the source of students predicting subsystem and school district positioning subsystem
System, source of students predicting subsystem and resource decision subsystem, source of students predicting subsystem and overload early warning subsystem, school district positioning subsystem
There is interactive relation, interactive interface type between system and resource decision subsystem, resource decision subsystem and mobile consulting subsystem
For API or WebService.
9. educational resource monitoring and warning system as claimed in claim 8, the source of students predicting subsystem is to the resource decision
Subsystem sends source of students information of forecasting, and the school district positioning subsystem sends school district resource letter to the resource decision subsystem
Breath, the overload early warning subsystem send school district loaded information to resource decision subsystem, and the mobile subsystem of seeking advice from is to money
Source decision-making subsystem sends source of students consultation information, and the source of students predicting subsystem is pre- to school district positioning subsystem transmission school-age children
Measurement information, the resource decision subsystem send school district planning information, the resource decision subsystem to school district positioning subsystem
Notices ＆ Information information is sent to mobile consulting subsystem, the source of students predicting subsystem sends school district life to overload early warning subsystem
Source information of forecasting.
10. educational resource monitoring and warning system as claimed in claim 1, by service request, use API or WebService
Interface, to the application of other external data centers, the built operation system of education department and city mobile terminal obtain all kinds of basic datas,
Business datum, thematic application data is generated after fusion treatment and mining analysis.
11. educational resource monitoring and warning system as claimed in claim 1, using API or web Service interface, to the Ministry of Education
The built related service system push policy and suggestion of door, and opened to data and push thematic application message with information service system；It is logical
Cross mobile terminal application and issue authoritative consultation information, data center periodically is arrived into the storage of all kinds of thematic datas.
12. educational resource monitoring and warning system as claimed in claim 10, education department's operation system is to educational resource
Monitoring and warning system send business information, other described external data centers to educational resource monitoring and warning system send population,
Teaching basis information, the mobile terminal application, to educational resource monitoring and warning system sends registration, consulting, letter of paying the fees is suffered from.
13. educational resource monitoring and warning system as claimed in claim 11, school district is sent to education department's operation system
The policy and suggestion information such as overload, no-load condition statistics, school district division；It is special that school district distribution is sent to education department's operation system
Topic, enrollment advisory information；The letters such as school's enrollment, consulting payment, which are sent, to education department's operation system suffers from service.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710934097.7A CN107679663A (en) | 2017-10-09 | 2017-10-09 | A kind of educational resource monitoring and warning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710934097.7A CN107679663A (en) | 2017-10-09 | 2017-10-09 | A kind of educational resource monitoring and warning system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107679663A true CN107679663A (en) | 2018-02-09 |
Family
ID=61139467
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710934097.7A Pending CN107679663A (en) | 2017-10-09 | 2017-10-09 | A kind of educational resource monitoring and warning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107679663A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109409757A (en) * | 2018-11-02 | 2019-03-01 | 中电科新型智慧城市研究院有限公司 | A kind of city degree Stress appraisal method based on NB Algorithm and curve modeling |
| CN109472414A (en) * | 2018-11-15 | 2019-03-15 | 福建大道之行教育科技有限公司 | A kind of professional enrollment forecasting method and system based on multi-dimensional data model |
| CN109829567A (en) * | 2019-01-02 | 2019-05-31 | 平安科技（深圳）有限公司 | Degree regulation method, apparatus and computer equipment based on machine learning |
| CN110490352A (en) * | 2019-05-31 | 2019-11-22 | 武汉大学 | A kind of urban education service facility evaluation optimization method |
| CN111932965A (en) * | 2020-08-31 | 2020-11-13 | 张国伟 | Teaching method and intelligent equipment based on automatic matching recommendation of optimal learning content |
| CN112308263A (en) * | 2019-07-25 | 2021-02-02 | 华为技术有限公司 | Academic resource prediction method and device, storage medium and chip |
| CN113672667A (en) * | 2021-08-26 | 2021-11-19 | 温州市鹿城区中津先进科技研究院 | Education resource monitoring and early warning system |
| CN113962497A (en) * | 2021-12-22 | 2022-01-21 | 深圳市华师兄弟教育科技有限公司 | Teacher resource analysis is accuse system based on internet education |
| CN114580773A (en) * | 2022-03-15 | 2022-06-03 | 城云科技（中国）有限公司 | Academic district pressure assessment method, device and application |
| CN115809825A (en) * | 2022-12-13 | 2023-03-17 | 广州市城市规划勘测设计研究院 | Method, device and medium for division and evaluation of school districts |
| CN116109456A (en) * | 2023-04-03 | 2023-05-12 | 成都大学 | Comprehensive evaluation method and system for intelligent education, electronic equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104680330A (en) * | 2015-03-18 | 2015-06-03 | 北京师范大学 | System and testing method based on resource environmental bearing capacity evaluation indexes |
| CN104794350A (en) * | 2015-04-23 | 2015-07-22 | 中国科学院地理科学与资源研究所 | System and method for evaluating comprehensive carrying capacity of region |
| CN106447573A (en) * | 2016-09-08 | 2017-02-22 | 河南理工大学 | Spatial accessibility analysis method and device based on public facility differences |
| CN107067643A (en) * | 2017-02-16 | 2017-08-18 | 刘姗姗 | Scenic spot visitor's quantity excess load broadcast system |
-
2017
- 2017-10-09 CN CN201710934097.7A patent/CN107679663A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104680330A (en) * | 2015-03-18 | 2015-06-03 | 北京师范大学 | System and testing method based on resource environmental bearing capacity evaluation indexes |
| CN104794350A (en) * | 2015-04-23 | 2015-07-22 | 中国科学院地理科学与资源研究所 | System and method for evaluating comprehensive carrying capacity of region |
| CN106447573A (en) * | 2016-09-08 | 2017-02-22 | 河南理工大学 | Spatial accessibility analysis method and device based on public facility differences |
| CN107067643A (en) * | 2017-02-16 | 2017-08-18 | 刘姗姗 | Scenic spot visitor's quantity excess load broadcast system |
Non-Patent Citations (1)
| Title |
|---|
| 万昆等: "精准干预视角下的基础教育设施实施反馈体系研究", 《规划师》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109409757B (en) * | 2018-11-02 | 2021-09-24 | 中电科新型智慧城市研究院有限公司 | Urban academic degree pressure assessment method based on naive Bayes algorithm and curve modeling |
| CN109409757A (en) * | 2018-11-02 | 2019-03-01 | 中电科新型智慧城市研究院有限公司 | A kind of city degree Stress appraisal method based on NB Algorithm and curve modeling |
| CN109472414A (en) * | 2018-11-15 | 2019-03-15 | 福建大道之行教育科技有限公司 | A kind of professional enrollment forecasting method and system based on multi-dimensional data model |
| CN109829567A (en) * | 2019-01-02 | 2019-05-31 | 平安科技（深圳）有限公司 | Degree regulation method, apparatus and computer equipment based on machine learning |
| CN110490352A (en) * | 2019-05-31 | 2019-11-22 | 武汉大学 | A kind of urban education service facility evaluation optimization method |
| CN112308263A (en) * | 2019-07-25 | 2021-02-02 | 华为技术有限公司 | Academic resource prediction method and device, storage medium and chip |
| CN111932965A (en) * | 2020-08-31 | 2020-11-13 | 张国伟 | Teaching method and intelligent equipment based on automatic matching recommendation of optimal learning content |
| CN113672667A (en) * | 2021-08-26 | 2021-11-19 | 温州市鹿城区中津先进科技研究院 | Education resource monitoring and early warning system |
| CN113962497A (en) * | 2021-12-22 | 2022-01-21 | 深圳市华师兄弟教育科技有限公司 | Teacher resource analysis is accuse system based on internet education |
| CN114580773A (en) * | 2022-03-15 | 2022-06-03 | 城云科技（中国）有限公司 | Academic district pressure assessment method, device and application |
| CN115809825A (en) * | 2022-12-13 | 2023-03-17 | 广州市城市规划勘测设计研究院 | Method, device and medium for division and evaluation of school districts |
| CN116109456A (en) * | 2023-04-03 | 2023-05-12 | 成都大学 | Comprehensive evaluation method and system for intelligent education, electronic equipment and storage medium |
| CN116109456B (en) * | 2023-04-03 | 2023-07-28 | 成都大学 | Comprehensive evaluation method and system for intelligent education, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107679663A (en) | A kind of educational resource monitoring and warning system | |
| Liu et al. | What influenced the vitality of the waterfront open space? A case study of Huangpu River in Shanghai, China | |
| Shao et al. | Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning | |
| Li et al. | The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou | |
| Kumar et al. | Identification of neighborhood typology for potential transit-oriented development | |
| Roorda et al. | Trip generation of vulnerable populations in three Canadian cities: a spatial ordered probit approach | |
| Yang et al. | Do built environment effects on travel behavior differ between household members? A case study of Nanjing, China | |
| Guzman et al. | Assessing the role of the built environment and sociodemographic characteristics on walking travel distances in Bogotá | |
| Bao et al. | Spatial analysis of bikeshare ridership with smart card and POI data using geographically weighted regression method | |
| Liu et al. | A generalized framework for measuring pedestrian accessibility around the world using open data | |
| Liu et al. | Multiscale spatial analysis of metro usage and its determinants for sustainable urban development in Shenzhen, China | |
| Papa et al. | A TOD classification of metro stations: An application in Naples | |
| Wang et al. | An extended exploration and preferential return model for human mobility simulation at individual and collective levels | |
| Kumar et al. | Developing context sensitive planning criteria for transit oriented development (TOD): A fuzzy-group decision approach | |
| Wang et al. | Measuring spatial accessibility to ecological recreation spaces in the Pearl River delta region: an improved two-step floating catchment area method | |
| Osório et al. | Integrating the energy costs of urban transport and buildings | |
| Wang et al. | A joint modeling analysis of passengers’ intercity travel destination and mode choices in Yangtze River Delta megaregion of China | |
| Zhang et al. | Working and residential segregation of migrants in Longgang City, China: A mobile phone data-based analysis | |
| Huang et al. | Employment centers change faster than expected: An integrated identification method and application to Beijing | |
| Liu | [Retracted] Application of Big Data Technology in Urban Greenway Design | |
| Kim et al. | Examining the socio-spatial patterns of bus shelters with deep learning analysis of street-view images: A case study of 20 cities in the US | |
| Xu et al. | Exploring determinants of freeway service area usage in the context of sustainable and collaborated development for transport and tourism | |
| Beukes et al. | Quantifying the contextual influences on road design | |
| Mo | Heterogeneous effects of urban transport infrastructure on population distribution: The role of educational access | |
| Derrible | The properties and effects of metro network designs |
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 |
Application publication date: 20180209 |
|
| RJ01 | Rejection of invention patent application after publication |