Smart Campus Building based on Big Data

Yan Yi

, Ping He

Personnel division Kunming University, Kunming, 650214

Department of Physical Science and Technology, Kunming University, Kunming, 650214

Keywords: Big data; Colleges and universities; Smart campus.

Abstract: Since smart campus has become the mainstream form of modern campus building. This paper first

introduced the basic information of big data technology, secondly, analyzed the meaning of big data to

smart campus on the two aspects of the smart campus’s need for big data technology and value of big data

in smart campus, on the basis of this, finally, comprehensively explored smart campus informatization

building of colleges and universities from the perspective of big data. Hope this article can provide some

references to relevant areas.

1 INTRODUCTION

At this stage, the science and technology has devel-

oped stably in our country, big data technology,

cloud computing technology and internet of things

technology have made great progress, under the in-

fluence of this environment, smart campus building

also began to get the extensive attention of people.

At present (Qi Y,2013), China's smart campus

building is the up-grade based on Digital Campus,

which can create a good learning atmosphere for

teachers and students and benefit school's

development. Next, we will give the further

comprehensive exploration and analysis of smart

campus building of big data (Yuejuan H,2014).

2 BIG DATA TECHNOLOGY

2.1 Sources of big data

At this stage, China's data annual growth rate has

been as high as 50%, with the gradual increase of

data content and unstructured form factor, original

relational data management model has not been able

to meet the management needs of modern amount.

As the most widely used technology in our country,

IT technology of big data will be able to provide

more high quality and high value application data

for researchers in China (Jun W,2015).

2.2 Meaning of big data

The so-called big data mainly refers to, based on that

original software tools cannot be applied, on the data

collation and analysis to extract the desired content.

The data are mainly applied in four parts, first is de-

sign of technology; second is scientific research;

third is decision analysis; fourth is check and testify.

The main use of data is to obtain the corresponding

information through the experiment, statistics, analy-

sis and other ways. Through a complete, accurate

measurement, data will be collated, recorded, classi-

fied and saved, after a series of strict process of sta-

tistics, detection and analysis, finally reach a per-

suade conclusion. The large amounts of data got

from long time collation, research, analysis and sta-

tistics is called big data (Minsi L, Shaobo C,2015).

2.3 Big data features

Big data usually have three features, first is diverse,

second is scale, the third is high speed. On the basis

of these three features, after continuous experiments,

relevant researchers added several features to big

data, including timeliness, authenticity, intricacy and

value.

358

YI Y. and HE P.

Smart Campus Building based on Big Data.

DOI: 10.5220/0006450403580361

In ISME 2016 - Information Science and Management Engineering IV (ISME 2016), pages 358-361

ISBN: 978-989-758-208-0

3 MEANING OF BIG DATA TO

SMART CAMPUS

3.1 Smart campus’s needs for big data

technology

In order to realize the building of smart campus, it is

necessary to comprehensively analyze unstructured

data, so as to realize smart teaching and manage-

ment. Smart campus building demands for strict data

collation, statistics, analysis and capture. Traditional

method of OLAP data analysis cannot meet the de-

mand of modern smart campus, only applying the

functions of path analysis, chart analysis, time series

analysis and What-if analysis of big data technology

to smart campus building, can meet the campus’s

growing smart application needs better. Because

cloud computing has data sharing and knowledge

service function, it has a comprehensive application

in smart campus building.

3.2 Value of big data in smart campus

The building of smart campus has continuously ex-

panded the scale of network entity, the original data

frame has not been able to meet the needs of modern

data processing, while big data technology can

quickly analyze the valuable information in different

forms of data, and provide convenient conditions to

smart campus building. In the process of big data de-

sign, its design principle can improve the connection

between different forms of data, and obtain the re-

quired data through applying and analyzing the data.

In addition, big data technology can also

comprehen-sively analyze data of area and mine its

deep mean-ing comprehensively, through this

analyze the future social value of campus, at the

same time, compre-hensively show the characteristic

value of smart campus (Changhong Y,2015).

Big data technology can analyze the changes of

teaching methods, learning habits and thinking char-

acteristics of teachers and students, estimate the fu-

ture development tendency of the teachers and stu-

dents, and adjust the teaching and management

modes of teachers and students according to the es-

timation results. In addition, big data technology can

also save a variety of information in school, in this

way, provide convenient conditions to smart school

building. Therefore, in smart campus building, the

application of big data technology can not only real-

ize the acquisition of data, but also process and ana-

lyze the data needed. As initial data, school’s struc-

tured information, semi-structured and unstructured

information can be collected, collated and analyzed

to obtain the required data, and then to lay a solid

foundation for campus’s intelligent management.

4 SMART CAMPUS

INFORMATIZATION

BUILDING OF UNIVERSITY

FROM BIG DATA

PERSPECTIVE

In order to realize smart campus building, first we

should comprehensively understand the design con-

cept of smart campus, secondly, analyze the

informa-tization building structure of smart campus,

and on this basis, complete the smart campus

informatiza-tion building from the perspective of big

data.

4.1 Design concept of smart campus

Comparing with original "Digital Campus", smart

campus is the product mainly composed of three

kinds of technology, the first is big data technology;

the second is cloud computing; the third is internet

of things technology. The so-called design idea of

smart campus, mainly based on the first generation

of information technology, scientifically manages

campus personnel, teachers and students with the

help of more rigorous way. Sensors were installed in

each building of school, such as heating system, wa-

ter supply system and power supply system, through

these sensors, smart campus can closely integrate the

campus management and biological system. By

combining internet of things and the Internet, school

management system, learning system and work sys-

tem and other equipment were connected to the

campus network, by getting the data from time to

time and comprehensive analysis to improve the ef-

ficiency of the decision-making basis, and then real-

ize the smart campus building (Bo C,2016).

4.2 Smart campus informatization

building analysis

So-called smart campus informatization building is

to integrate physical and virtual campus state with

the help of five types of information technology, so

as to realize intelligent management. Among them,

the five kinds of information technology are: the

first is cloud computing; the second is big data

technol-ogy; the third is internet of things

technology; the fourth is intelligent sensing

Smart Campus Building based on Big Data

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Smart Campus Building based on Big Data

359

technology; the fifth is Internet technology. It shows

the mutual integration of physical space and digital

space in Figure 1 (Dayang J., Qi Y,2016):

Figure 1: Diagram of mutual integration of physical space

and digital space

In order to realize the close integration of

physical space and digital space, big data should be

as the in-tegration center, the Internet as the neural

network of integration, and intelligent sensor as the

nerve end-ings of integration. In order to realize the

smart ap-plication, the integration criterion should

be based on the interaction of self-adaption and

personalized users, so as to realize the structure

building of smart campus informatization.

4.2.1 Intelligent sensing layer

The so-called intelligent sensing layer, realize the

real-time data collection with the aid of a variety of

sensor technology, at the same time sense the activ-

ity situation of school teachers and students and the

equipment working status by data collected, and

then to provided material conditions for smart

campus building.

4.2.2 Network communication layer

The so-called network communication layer re-fers

to achieve data transmission with the help of wired

network technology and wireless network

technology, and provide network technical support

to smart campus building (Qiang D,2012).

4.2.3 Big data layer

In intelligent school building, big data layer should

be as the core standard, which mainly includes data

collection and collation capabilities, data storage ca-

pacity and data analysis ability. As the center link of

all data links of intelligent campus, big data layer

provides data help for smart campus building.

4.2.4 Application layer

Application layer includes four job application of

smart campus, first is the teaching; second is man-

agement; third is the scientific research; fourth is

service. The application layer plays a decisive role in

the smart campus building, it is the center of the

smart campus building.

4.2.5 Self-adaption interactive platform

In addition to support different types of intelligent

terminal equipment, self-adaption interactive plat-

form provides school the interactive mode which is

suitable for campus environment and terminal

equipment, and then to provide more quality

services for the school, improve the overall teaching

quality of smart campus.

4.2.6 Support security system

Support security system not only has the equipment

maintenance service system, but also has the infor-

mation security mechanism, so as to provide security

for smart campus building.

5 GOAL OF SMART CAMPUS

5.1 Unimpeded teaching environment

Traditional way of teaching has four elements, first

is blackboard; second is chalk; third is book; fourth

are tables and chairs. For the intelligent teaching

now, as long as using intelligent terminal equipment,

it will collect and collate the teaching contents, and

teach by knowledge push. Students can obtain the

required learning materials through this way; teach-

ers can grasp the learning situation of students by

this way, and appropriately adjust teaching methods

according to the students' learning status, thus

achieving the purpose of enhancing the teaching

quality.

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5.2 Collaborative research platform

The so-called smart laboratory mainly refers to con-

nect the teaching, students, learning tools, teaching

aids, teaching syllabus, teaching mode and other

teaching elements, with the help of cloud computing,

cloud storage and sensing technology to transmit and

analyze the data which experimentation teaching

needs, and develop reasonable experimentation

teaching plan through the results analysis. In this

way, it not only helps students to reduce much time

spent on finding information, but also reduces the

time that teachers spend on getting familiar with the

teaching content and experiment tools, and provides

a lot of time for experiment course. It intermingles

the teachers with the students well, and provides the

basic conditions for research results’ inheritance and

application.

5.3 Accurate decision support

The so-called accurate decision support is that com-

prehensively analyze of a number of data of our

smart campus, including overall operation of school,

actual income and expenditure of school, overall

planning of school, professional introduction of

school, teachers’ comprehensive teaching ability,

students’ comprehensive quality, students’ employ-

ment situation and research situation, the main pur-

pose of these data analysis is to provide school lead-

ers data support for making management decision of

next step.

6 CONCLUSIONS:

Through this paper, we have a new understanding of

smart campus building under big data. As the time

goes by, big data technology provides favorable con-

ditions for the construction of intelligent campus in

China. The comprehensive analysis of intelligent de-

cision and its depth in big data, will lay a solid foun-

dation for the development of intelligent campus.

However, according to the present situation, our big

data technology research is still in its infancy, there

are still many problems worthy of comprehensive

analysis and discussion for our scientific research

personnel. I believe, with its potential value and

technical characteristics, big data will fully demon-

strate in our smart campus construction, and

promote the stabile and rapid development of

China’s smart campus.

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