CN-122022214-A - Campus service network point migration analysis method based on big data

CN122022214ACN 122022214 ACN122022214 ACN 122022214ACN-122022214-A

Abstract

The invention discloses a campus service network point migration analysis method based on big data, and relates to the technical field of data information processing. The method comprises the steps of screening newly-entered handicapped student data through a student information system, obtaining the number of handicapped students and handicapped types, determining specific requirements of each handicapped student on an accessible channel and facility equipment, judging the requirement satisfaction degree of the original accessible channel according to the position and layout of the accessible channel of a school and the specific requirements of each handicapped student on the accessible channel, determining the requirements of the accessible channel, judging the use requirement amount of the facility equipment according to the number of each handicapped student, and judging the requirement satisfaction degree of the existing facility equipment according to the specific requirements of each handicapped student on the facility equipment according to the situation of the existing facility equipment. The analysis method can evaluate the demands of the disabled students and make corresponding improvement and adjustment regularly, thereby improving the learning and living experience of the disabled students.

Inventors

LI QIANG
SHI DONGXIAO
SHEN XIAOHUI
ZHENG YATING
QIU WEI

Assignees

广州城市职业学院

Dates

Publication Date: 20260512
Application Date: 20231025

Claims (7)

1. The campus service network point migration analysis method based on big data is characterized by comprising a student information system, and comprises the following steps: S1, screening out newly-entered handicapped student data through a student information system; S2, obtaining the number of disabled students and the types of disabled based on the data of the disabled students screened in the steps; s3, determining specific requirements of various handicapped students on barrier-free channels and facility equipment according to the handicapped types in the student information system; S4, judging the demand satisfaction degree of the position and the layout of the original barrier-free channel according to the position and the layout of the barrier-free channel of the school and the specific demands of various barrier-free students on the barrier-free channel; s5, determining the requirement of an unobstructed passage according to the S4; S6, judging the use demand of facility equipment according to the number of various disabled students; s7, judging the demand satisfaction degree of the existing facility equipment according to the specific demands of various disabled students on the facility equipment through the condition of the existing facility equipment; And S8, adjusting the barrier-free channel and facility equipment, evaluating whether the barrier-free service hot spot position and layout need to be migrated, and setting the position of the clearly marked barrier-free service hot spot in the school by judging and predicting the requirement of the handicapped students for searching and using the barrier-free service hot spot.
2. The campus service network migration analysis method based on big data according to claim 1, wherein the number of disabled students and the type of disabled are obtained in step S2, and the distribution status of various disabled students is obtained by classifying and counting the disabled student data.
3. The campus service network point migration analysis method based on big data according to claim 1, wherein in S4, when the position and layout of the original barrier-free channel do not meet the requirements, new construction or adjustment is performed.
4. The campus service network migration analysis method based on big data according to claim 1, wherein in S7, when the requirement of the existing facility equipment is not satisfied, a new addition or adjustment is performed.
5. The campus service network point migration analysis method based on big data according to claim 1, wherein the step S8 is to judge the satisfaction of the migrated effect on the requirement of the disabled students through the use condition of the barrier-free service hot spot and the feedback of the students.
6. The campus service network point migration analysis method based on big data according to claim 1, wherein the principle of regional balance is adopted in the step S8, and the setting position of the barrier-free service hot spot in the campus is determined by combining life and study places of disabled students, so that sufficient surrounding equipment facilities are ensured.
7. The campus service network migration analysis method based on big data according to claim 1, wherein the step S8 further comprises periodically evaluating distribution conditions of the barrier-free service hot spots, and adjusting setting and layout of the barrier-free service hot spots according to changes and feedback of requirements of disabled students.

Description

Campus service network point migration analysis method based on big data Technical Field The invention relates to the technical field of data information processing, in particular to a campus service network point migration analysis method based on big data. Background With the popularization and diversity development of higher education, more and more disabled students enter a university to read, however, the current many campus environments are not friendly to the disabled students, the arrangement and distribution of the barrier-free facilities cannot well meet the requirements of the disabled students, and due to the particularities of the various disabled students, the requirements of the barrier-free facilities are different, and how to perform the optimal configuration of barrier-free services according to the requirements of the disabled students is a great challenge for current campus managers; In addition, the existing barrier-free facilities are not effectively utilized, the setting of the positions of a part of barrier-free service hot spots is unreasonable, so that the rest and waste of part of facilities are caused, and the use condition of the facilities by the disabled students is not satisfactory although the school invests a large amount of resources in the barrier-free facilities; The prior art has no system for effectively meeting the living and learning demands of disabled students, so that how to provide better and more convenient barrier-free service according to the actual demands of disabled students becomes a problem which needs to be solved urgently by campus managers, and therefore, a campus service network migration analysis method based on big data is provided. Disclosure of Invention The invention aims to provide a campus service network migration analysis method based on big data, which solves the problems that many campus environments are not friendly to disabled students, the arrangement and distribution of barrier-free facilities cannot well meet the demands of the disabled students, the existing barrier-free facilities are not effectively utilized, the arrangement of part of barrier-free service hot spot positions is unreasonable, and the rest and waste of part of facilities are caused. The invention is realized by the following technical scheme: The invention relates to a campus service network point migration analysis method based on big data, which is based on big data technology and comprises a student information system, and the analysis method comprises the following steps: S1, screening out newly-entered handicapped student data through a student information system; S2, obtaining the number of disabled students and the types of disabled based on the data of the disabled students screened in the steps; s3, determining specific requirements of various handicapped students on barrier-free channels and facility equipment according to the handicapped types in the student information system; S4, judging the demand satisfaction degree of the position and the layout of the original barrier-free channel according to the position and the layout of the barrier-free channel of the school and the specific demands of various barrier-free students on the barrier-free channel; s5, determining the requirement of an unobstructed passage according to the S4; S6, judging the use demand of facility equipment according to the number of various disabled students; s7, judging the demand satisfaction degree of the existing facility equipment according to the specific demands of various disabled students on the facility equipment through the condition of the existing facility equipment; And S8, adjusting the barrier-free channel and facility equipment, evaluating whether the barrier-free service hot spot position and layout need to be migrated, and setting the position of the clearly marked barrier-free service hot spot in the school by judging and predicting the requirement of the handicapped students for searching and using the barrier-free service hot spot. Preferably, the number of disabled students and the type of disabled are obtained in S2, and the distribution status of various disabled students is obtained by classifying and counting the disabled students. Preferably, in the step S4, when the position and layout of the original accessible channel do not meet the requirements, new construction or adjustment is performed. Preferably, in S7, when the requirement of the existing facility equipment is not satisfied, a new addition or adjustment is performed. Preferably, the step S8 judges the requirement satisfaction degree of the transferred effect on the disabled students through the use condition of the barrier-free service hot spot and the feedback of the students. Preferably, in the step S8, a principle of area equalization is adopted, and the living and learning places of the disabled students are combined to determine the setting positions of the barrier-free service hot spots in