RESEARCH ON THE EVALUATION INDEX SYSTEM AND
METHOD FOR INTELLIGENT PERFORMANCE OF SMART
SPACE BASED ON INTERNET OF THINGS TECHNOLOGY
Xiaoquan Gong and Tao Gu
Information Management Department, School of Economics and Management
Beijing Jiaotong University, Beijing, China
Keywords: Internet of things technology, Smart space, Grey multi-level method.
Abstract: This article firstly defines the smart living space and it’s six application aspect which is widely used under
the Internet of Things, subdivide and analysis the researches home and abroad when study the relative issues
about smart living space assess theory system of the “Internet of Things” technology, concluding the grey
multi-levels methods on the basis of “Internet of Things” technology assess theory system at last. Then
specify the evaluation of the intelligence storage.
1 GENERAL
This article firstly define the smart living space and
it’s six application aspect which is widely used under
the Internet of Things, subdivide and analysis the
researches home and abroad when study the relative
issues about smart living space assess theory system
of the “Internet of Things” technology
Smart living space (Smart Space) is a working
space embedded with calculation and information
equipment, in order to letting users search
information and get computer service conveniently,
working more efficient isolated or collaborated
(NIST).
We define Internet of Things (The Internet of
Things) as "material objects which connected to the
Internet", using radio frequency identification
(RFID) devices, infrared sensors, global positioning
systems, laser scanners and other information
sensing equipment, as agreed in the agreement, make
everything connected to the Internet, and try to
exchange and transfer information, and to achieve
intelligent identify, locate, track, monitor and
manage a network (Lin, 2010).
Fields of application of smart space based on
internet of things technology (smart buildings, smart
home, smart grid, smart campus, smart storage,
smart highways)
1. The application of smart buildings based on
"internet of things "technology mainly includes
security systems, equipment management systems,
fire alarm systems, property management systems
and so on.
2. The application of smart home based on
"internet of things "technology mainly includes
appliances control, lighting control, home theater
and control the most basic functions of life and
intelligent life and so on.
3. The application of smart grid based on
"internet of things "technology mainly includes
sensing layer, network layer and application layer.
4. The application of smart campus based on
"internet of things "technology mainly includes
automatic identification of students and teachers,
data management and application integration and
sharing. The main three-tier system includes
application data service layer, network
communication layer and end-user layer.
5. The application of smart storage based on
"internet of things "technology mainly includes
RFID automatic identification technology and
production which plays an important role throughout
the supply chain, transportation, storage and other
aspects.
6. The application of smart highways based on
"internet of things "technology mainly includes
electronic toll systems (Electronic Toll Collection,
301
Gong X. and Gu T..
RESEARCH ON THE EVALUATION INDEX SYSTEM AND METHOD FOR INTELLIGENT PERFORMANCE OF SMART SPACE BASED ON
INTERNET OF THINGS TECHNOLOGY.
DOI: 10.5220/0003550103010307
In Proceedings of the 13th International Conference on Enterprise Information Systems (ICEIS-2011), pages 301-307
ISBN: 978-989-8425-53-9
Copyright
c
2011 SCITEPRESS (Science and Technology Publications, Lda.)
referred to as ETC) and other aspects of the great
role.
The six aspects are selected for detailed study
based on the following considerations:
1. The six directions are a crucial aspect of
national economic development, related to the
process of building a socialist harmonious society, it
is a break point of achieving low-carbon-saving
targets, promote independent innovation saving and
low carbon goal to, improve service level of an
important breakthrough, to deepen reform, A
necessary requirement to improve the level of
openness.
2. The six directions are closely linked as a
whole, smart building research is bound to lead
smart home smart grid and smart campus research,
smart home and smart grid with the development of
intelligent building has become an inevitable
direction. The development of smart highways will
inevitably bring the upgrading of China's logistics
industry which will surely continue to promote the
modernization of logistics technology and thus
promote the logistics storage level
3.The six directions respect the development of
China's national conditions and we must develop
them rapidly.From foreign research point of view,
this six researchs have become the consensus of all
countries, and from April 2010 the State Council
issued the "National ten" can be seen that they are
not only an academic problem, but is related to
Long-term stability of our country's important
political issue.
2 DEFINITION AND
SIGNIFICANCE
2.1 Definition of Related Concepts
Intelligent quality is used to evaluate the level of
achievement of intelligent control system according
to certain algorithms evaluation index system and
evaluation, quantitative assessment. Intelligent
Building is equipped information and
communication, office automation and information
services building automation of various functions,
easy to govern activities which the buildings need
Smart Home is to use advanced computer
technology, network communication technology,
integrated wiring technology, according to
ergonomic principles, integration of individual
needs, associated with the various subsystems home
life together, in order to achieve user-centric
experience at home (Pinghua, 2010).
Smart Grid refers to the immediate connection
interactive between customers to, customers and to
power companies, Achieving to read data timely,
efficiently in a dually way, that will lead to
promoting the comprehensive efficiency of the
integrated power grid (Guangyu and Yingyun,
2010).
Smart campus is using the school as a platform,
using the integrated wiring technology, network
communication technology, intelligent campus -
security system design technology, automatic control
technology, audio and video technology which will
be integrated campus-related facilities, in order to
build efficient infrastructure and the schedule of
campus affairs Management system to improve
campus safety, convenience, comfort, artistry, and to
build an environmental-friendly campus. [5].
Smart storage combine the real-time computer
software with the advanced information technology,
sensor technology, operational research, artificial
intelligence and system technology to apply in
storage management, in order to optimize the
information, resources, behavior, inventory and
distribution behaviors according to the regulations
and rules of logistical act, maximizing the effective
throughput and precision to meet the management
requirements of the intelligent system [6].
Smart highways refers to the advanced infor-
mation technology, data communication technology,
control technology, sensor technology, operations re-
search, artificial intelligence and system integration
to effectively integrate technology used in highway
construction and management, it has a language,
math, logical reasoning , Visual simulation or re-
placement body parts movement, thereby strength-
ening vehicle, road, the links between users, the for-
mation of a safe and efficient transport system [7].
2.2 Research Significance
2.2.1 Smart Building
Building associated with theoretical research will
enrich the quality assessment of the Chinese theory
of intelligent building, and will provide theoretical
support to the development of intelligent buildings in
China. Intelligent Building Intelligent quality
assessment system is mainly reflected in the social
significance of a healthy lifestyle, awareness of the
public participation.
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2.2.2 Smart Home
May 21, 2008, "2008 (second session), China Digital
Home Industry Summit " was solemnly held in
Guangzhou, the digital home industry started the
development of the smart home industry to a life.
This involves many areas of the digital home
industry in the relevant departments of the strong
government’s support and many related industries,
driven by the rapid development and will bring
together accelerating the development of smart home
industry. conducted the quality assessment of the
relevant theoretical studies, the development of
intelligent home country has become a necessary
requirement, this assessment will be able to promote
the formulation of the theory of intelligent smart
home system of quality assessment and evaluation
methods of development and promote smart home in
China Better development.Smart quality assessment
system is mainly reflected the following aspects of
social significance
1. Smart home will make people's way of life a
new look
2. Smart home provide more job options for
people to
3. Smart Home will lead to the rapid
development of many industries
4. Open up a new big market
2.2.3 Smart Grid
We want to feasible with Chinese characteristics
Combination of smart grid of the concrete reality as
soon as possible which will promote our city's
overall healthy development of smart grid
effectively. And makes the intelligent system be
more effective and rational use of resources, avoid
resource, excessive waste of energy finally, reduce
the load on the ecological environment, reduce costs,
and achieve the human grid and nature the harmony
of the three
2.2.4 Smart Campus
We want to make contributions to the theory and
practice for the development of smart schools in
China Through our research. And make campus
environment be extended in time and space and
realize multi-campus management; intelligent
campus intelligent quality assessment system is
mainly reflected the social significance of the
following areas:
1. to improve the efficiency and save cost of
school management
2. to protect the safety of students and teachers
effectively
3. to change the traditional form of storage
resources
4. to provide schools with services of foreign
exchange window
5. to provide important decision support for the
school leadership
2.2.5 Smart Storage
The general situation of warehousing In 2008 [9].
Table 1: Logistics costs in the cost of custody.
Amount
(million)
Increase
(%)
Increase
compared
to 2007
Total
Logistics
17508 22.6
Rose by 5.2
percentage
points
Storage 1122 41.8
Down 13.2
percentage
points
Source: China Industry Development Report Storage
Analysis: The investment in the logistics industry, as
a whole, has continued to increase; warehousing
investment growth dropped largely, and we can draw
a conclusion that it is unreasonable draw investment
to simply rely on earnings growth for storage is and,
therefore, intelligent storage research will become a
necessity
Logistics costs in the cost of custody.
Amount
(million)
Increase
(%)
Increase
compared to
2007
Logistics
costs
154542 16.2
Down 2
percentage
points
Storage 18928 21.8
Rose 0.6
percentage
points
Source: China Industry Development Report Storage
Analysis: National Logistics total cost increase is
downturn, accounting GDP proportion also
decreased slightly; but custody fees increase rose
slightly, higher than transportation costs and
management fees, so intelligent warehousing studies
RESEARCH ON THE EVALUATION INDEX SYSTEM AND METHOD FOR INTELLIGENT PERFORMANCE OF
SMART SPACE BASED ON INTERNET OF THINGS TECHNOLOGY
303
and regard improving warehouse Efficiency of the
logistics industry as the first consideration [10].
Through our own research with the specific
expectations of the actual situation, we want to
feasible with Chinese characteristics as soon as
possible, the assessment system, which will
effectively promote the cause of intelligent
warehouse full and healthy development,
2.2.6 Smart Highways
As the research in intelligent highway just beginning
in China, this advanced technology in learning from
international experiences, combined with the actual
situation of the specific form a workable evaluation
system, and promote the cause of the continued
development of intelligent highway
3 CONTENTS AND OBJECTIVES
(QUALITY ASSEMENT OF
SMART STORGE AS A CASE
3.1 Intelligent Storage Intelligent
Design Quality Evaluation System
The evaluation system will use a combination of
quantitative and qualitative methods to build
intelligent storage intelligent quality assessment
system, specifically shown in Figure 3-1.
Figure 3-1: Intelligent Storage Intelligent Quality
Assessment System.
3.2 Comprehensive Assessment of the
Quality of Intelligence of the
Multi-level Method based on Gray
Intelligent Storage
3.2.1 Smart Storage Smart Quality
Indicators to Determine the Weights
Currently, there are many methods to the determina-
tion of the weight, such as: the subjective weighting
method, the expert scoring method, Delphi method,
AHP, etc., there are large differences between the
four methods.
Table 3-1: Weight for comparison.
Subjectivity Science Complexity
Subjective
weighting
Strong General
Not
complicated
Expert
score
Stronger Better
More
complex
Delphi Stronger Better
More
complex
AHP General Good Complex
3.2.3 Using the AHP to Determine Weights
of the Steps
1. Establish the Levels of Hierarchical Structure
Figure 3-2: Hierarchy model of progressive.
2. Structure Matrix
After Level hierarchical structure established, the
relationship of affiliation will be followed to
establish between the upper and lower index, we can
make fuzzy judgments by using AHP pairwise
comparison method of the relative importance of
each indicator , Finally quantify data in accordance
with the scale of Satty , As shown in Table 3-2:
ICEIS 2011 - 13th International Conference on Enterprise Information Systems
304
Table 3-2: The meaning of the importance of scale.
scale meaning
1 That two factors are equally important
3
Another factor that slightly more than a
factor of importance
5
One factor that was important than the
other factors
7
Another factor more important than that
a factor
9
One factor that is important than the
other factors
2468
Between the above two cases between
the adjacent
For n elements, it can get matrix A by compared
pairwise comparison, namely:








For a fully consistent comparison matrix B has the
following characteristics:
1

=1 2

=1/

3

=

/

(ijk=12n
3. Calculation of Weight
1) Calculate the matrix A determine the elements of
each row in the plot




 (3-1)
2) Calculate the n-th root of the row values
 (3-2)
Formula, n is the order of matrix
3)

T be normalized, calculated as
follows:


(3-3)
Formula, that is what we calculate the weight of each
index
4. Consistency
(1) Calculate the the largest eigenvalue of determine
matrix:
λ




(3-4)
Formula,

is i-th component of AW
(2) Calculate the consistency index WI:

λ



(3-5)
(3) Calculate the consistency ratio CR:


(3-6)
RI is a random consistency index, its value
determined by Table 3-3.
Table 3-3: The average value of random consistency index
RI.
When n<3, the determine matrix always has
complete consistency. Usually, when CR <0.1, we
determine the matrix is satisfied the full consistency.
Otherwise, we need to adjust the matrix, which
satisfies the conditions CR <0.1, making it consistent
with the complete satisfaction.
3.2.4 Established Assessment Model based
On Intelligent Multi-level Storage
Gray
1. Determine the Weight of Evaluation Index
According to the established evaluation index
system of storage automation capabilities, W
represents a set of assessment indicators of
, and its weight is 



.
V represents two set of assessment indicators,
Denoted as


its
weight is






, T represents
three set of evaluation index, denoted as:




its
weight is.







2. Plan the Grade Standards of Evaluation
Indicators


by planing Index score standards of the level, we
turn the qualitative indicators into quantitative
indicators, with the use of expert score, which
will be assessed three indicators

as "excellent
", "good", "medium "and"poor " , And give a
certain score, score on behalf of indicators
greater means more gifted
3. Organize the Assessment Experts to Score and
Determine the Sample Matrix
Let the number of experts participating in ratings
be m, that is m-assessment experts to assess the
indicators


by standard rating scale to rate
RESEARCH ON THE EVALUATION INDEX SYSTEM AND METHOD FOR INTELLIGENT PERFORMANCE OF
SMART SPACE BASED ON INTERNET OF THINGS TECHNOLOGY
305
options. The system assumes m = 1,2,3,4,5,
which
has five scores experts. The first assess-
ment-expert gives index


score of


and
we can get the sample matrix D:

"
"""""
"""""
)5(
745
)4(
744
)3(
743
)2(
742
)1(
741
)5(
215
)4(
214
)3(
213
)2(
212
)1(
211
)5(
145
)4(
144
)3(
143
)2(
142
)1(
141
)5(
125
)4(
124
)3(
123
)2(
122
)1(
121
)5(
115
)4(
114
)3(
113
)2(
112
)1(
111
ddddd
ddddd
ddddd
ddddd
ddddd
74
21
14
12
11
V
V
V
V
V
"
"
The first line means the score of the first expert,
and the other as follows
4. Determine the Gray Type of Assessment
the so-called determine the gray type of
assessment is that determine the level of
assessment of the number of gray type, the
number of gray and gray categories Whitening
weight function gray number. Let gray type of
assessment the serial number for e = 1,2,3,4, they
are "excellent ", "good", "medium "and"poor " ,
which corresponds to the number of gray And
whitening weight function as follows:
Type 1 ash class "excellent"(e = 1), Gray (4,), the
expression of the whitening weight function as
follows













Gray type of category 2 "Good"(e = 2), gray
scale, the expression of the whitening weight
function as follows
Category 3 gray type, "in"(e = 3), gray, the
expression of the whitening weight function as
follows
Category 4 gray category "poor"(e = 4), gray, the
expression of the whitening weight function as
follows
5. Calculate the Gray Assessment Factor
Assessment indicators

, the first e options are
assessed a gray kind of assessment factor
recorded as

belonging to the class of the
total ash gray assessment factor is denoted

,
there are:





(3-7)



(3-8)
6. Calculate the Weight Vector and the Right of
the Gray Matrix Assessment
(3-9)





















(3-10)
7. Make a Comprehensive Assessment of 













(3-11)
8. Make a Comprehensive Assessment of 





















(3-12)
9. Calculated the Value of Comprehensive
Assessment of F

(3-13)
4 CONCLUSIONS
This article begin with the intelligence storage and
qualification evaluation, choosing the intelligence
living space and it’s six application aspect which is
widely used under the Internet of Things, then
research and analysis the intelligence living space
assess theory system on the basis of “Internet of
Things” technology. This study results will play a
role in enriching and deepening the theory and
application of intelligence living space theory.
ICEIS 2011 - 13th International Conference on Enterprise Information Systems
306
ACKNOWLEDGEMENTS
This article is subsidized by Beijing Jiaotong
University fund subject "research on the theory and
applications of smart living space based on the
Internet of Things"
REFERENCES
http://www.nist.gov/index.html the National Institute of
Standards and Technology
Xue Lin. wireless communication technology and its
positioning in the routing policy in the AD HOC
application [PhD thesis]. Shandong Normal .2010 (4):
p2
Mei Pinghua. gesture-based human-computer interaction
and fingertip detection algorithm [MS Thesis].
University of Science and Technology of China, .2010
(5): p2
He Guangyu, Sun Yingyun, based on the smart grid,
Beijing: China Electric Power Press, 2010 Edition
RESEARCH ON THE EVALUATION INDEX SYSTEM AND METHOD FOR INTELLIGENT PERFORMANCE OF
SMART SPACE BASED ON INTERNET OF THINGS TECHNOLOGY
307