IJSRD - International Journal for Scientific Research & Development| Vol.

4, Issue 02, 2016 | ISSN (online): 2321-0613

Power Management, Monitoring and Controlling in Intelligent Buildings
using wireless Sensor Network (WSN)
1,2

Miss. Vaishali Siddappa Kallur1 Prof. S.N. Kulkarni2
Department of Electronics & Telecommunication Engineering
1,2
Dr. D. Y. Patil SOE Lohegaon, Pune

Abstract— Energy consumption in the residential sector
represents a global average of around 30% of the total
consumed in the country, so any advance that could reduce
it, would have significant effects. Smart and zip -efficient
buildings have recently become a trend for future building
industry. The Major challenge in the control organization of
rules pattern for such building is to minimize the
powerfulness consumption without compromising the
customers comfort. For this purpose, the system principally
monitors electrical parameters of household parameters such
as voltage and current and subsequently calculates the
power consumed. The novelty of this system is the
effectuation of the controlling mechanism of appliances in
different ways. The developed system is a low-cost and
flexible in mathematical operation and thus can save
electricity expense of the consumer.
Key words: Energy management, home automation,
intelligent control system, wireless sensor network, ZigBee

individual controlling of the gadgets are restricted to specific
houses.
Moving towards the smart energy management will
require changes not only in the way energy is supplied, but
in the way energy market requires two types of zigbee
networks for device control and energy management. These
include neighborhood area networks for energy, using
ZigBee for sub energy within a home or apartment, and
using ZigBee to communicate to devices within the home.
The proposed approach is a low cost solution that
overcomes these limitations with a new efficient data
management system and identification algorithmics that
allow a fully integration of any appliances and sensors in the
home control network. It consists of a smart sensing unit,
wireless sensors and actuators, a web-based storage system
and a user interface for remote and mobile applications. The
flexibility and configurability characteristics of our system
are two important key points for users, beyond of the low
power consumption and system portability.

I. INTRODUCTION
IT is foreseen that service and personal care wireless
mechatronic systems will become more and more ubiquitous
at home in the near future and will be very useful in
assistive healthcare particularly for the elderly and disabled
people. Wireless mechatronic systems consist of numerous
spatially distributed sensors with limited data collection and
processing capability to monitor the environmental situation.
Wireless sensor networks (WSNs) have become
increasingly important because of their ability to monitor
and manage situational information for various intelligent
services. Due to those advantages, WSNs has been applied
in many fields, such as the military, industry, environmental
monitoring, and healthcare.
The WSNs are increasingly being used in the home
for energy controlling services. Regular household
appliances are monitored and controlled by WSNs installed
in the home. New technologies include cutting-edge
advancements in information technology, sensors, metering,
transmission, distribution, and electricity storage
technology, as well as providing new information and
flexibility to both consumers and providers of electricity.
It is normal that 65 million family units will equip
with smart meters by 2015 in the India, and it is a practical
evaluation of the extent of the home energy administration
market. There are a few proposition to interconnect different
household machines by remote systems to screen and
control. The models are verified utilizing testbed situations.
Additionally, keen meter systems have been intended to
specific uses especially identified with topographical uses
and are restricted to specific places. Distinctive data and
correspondence advances coordinating with savvy meter
gadgets have been proposed and tried at various flats in a
residential area for optimal power utilization however

II. RELATED WORK
Suryadevara et.al., proposed The pattern and maturation of a
smart monitoring and controlling system for household
electrical appliances in real time has been reported in this
paper. The system principally admonisher electrical
parameter of household appliances such as voltage and
current and subsequently calculates the tycoon consumed[1].
M. Erol-Kantarci et.al., evaluated the performance
of an in-home energy direction(iHEM) application. The
performance of iHEM is compared with an optimizationbased residential energy management (OREM) system,
whose objective is to minimize the energy disbursement of
the consumer . Which shows that iHEM decreases energy
expenses, reduces the contribution of the consumer to the
peak shipment , reduces the carbon copy emission of the
household, and its rescue are close to OREM[2].
L. Li, H. Xiaoguang et.al., recommended the
system proposes new character of network architectures for
the new generation AMR arrangement, and researches its
protocol and analysis situs optimization of cluster formation.
The recomended system of the body of work of the key
technology of the WiFi-based WSN has important
significance to the world technology evolution of Internet of
Things and the Smartness Grid. Basing on the study of
WiFi-based WSN [3].
D. Man Han et.al., introduces smart dwelling house
interfaces and twist definition to allow interoperability
among ZigBee devices produced by various manufacturers
of electrical equipment , meters, and smart Energy enabling
products. This system introduced the
home energy
ascendancy system of rules design that provides intelligent
services for users and demonstrate its implementation using
a real testbad [4].

All rights reserved by www.ijsrd.com

1104

Power Management, Monitoring and Controlling in Intelligent Buildings using wireless Sensor Network (WSN)
(IJSRD/Vol. 4/Issue 02/2016/312)

Dr. V. N. Kamat,. demonstrated the use of smart
LT apparent get-up-and-go m for effective step-down in
ATC passing. The technical component is reduced through
the implementation of a fair apparent energy based tariff .
The use of smart meter to eliminate pilferage of energy from
overhead LT lines is also covered in this system[5].
J.Han et.al., the proposed Hem system provides
easy way to add, delete, and move family devices to other
baron sales outlet. When a home device is moved to the
different outlet, the energy data of the home device is kept
consistently and seamlessly regardless of location
modification. The proposed architecture gives more efficient
energy-saving HEMS[6].
K.Gill et.al., the proposed system provied a ZigBee
based home automation organization and Wi-Fi network
which are integrated through a park home gateway.The
home gateway provides network interoperability, a simple
and flexible user interface, and remote access to the system.
This theme identifies the rationality for this slow
adoptionand evaluates the potential of ZigBee for addressing
these problem through the design and implementation of a
flexible home base automation architecture [8].
G.Song et.al., presents the design and
implementation of a home monitoring arrangement based on
hybrid sensing element networks. The system follows a
three-layer architecture which trust hybrid-node networking
with web access. An enhanced detector node has been
designed and fabricated to minimal brain dysfunction
controlled mobility to wireless sensor networks[9].
C.Suh et.al., proposed intelligent place dominance
system divides and assigns various home network tasks to
appropriate components. It can integrate diversified physical
sensing selective information and control various consumer
home gimmick , with the support of active sensor networks
having both sensor and actuator components [10].
W.Huiyong et.al., examines the possibility of
integration WSN and the overhaul robot into a smarting
home application. The service robots can be considered to
be mobile nodes that provide additional sensing element ial
entropy, improve/fixture the connectivity and collect
information from wireless sensor nodes[11].
N.K.Suryadevara et.al., developed scheme for
monitoring and evaluation of necessary daily activities was
tested at the homes of four different elderly persons living
alone and the results are encouraging in determining
wellness of the elderly[12].

are incorporated and associated with XBee module for
transmitting electrical parameters data wirelessly. The XBee
modules are interfaced with different detecting gadgets and
interconnected as cross section topology to have dependable
information gathering at a unified ZigBee facilitator. The
greatest separation between the adjoining ZigBee hubs is
under 10 m, and through bouncing procedure of the lattice
topology, dependable sensor combination information has
been performed
The ZigBee co-ordinator has been associated
through the USB link of the host PC, which stores the
information into a database of PC framework. The gathered
sensor combination information have been sent to a web
private entryway for remote observing and controlling the
home environment.
By breaking down the force from the system,
energy utilization can be controlled. A power levy
arrangement has been set up to run different apparatuses at
top and off-top tax rates. The apparatuses are controlled
either consequently or physically. The brilliant force
metering circuit is associated with mains 240 V/50 Hz
supply.

III. SYSTEM DESCRIPTION

Fig. 2: Functional block diagram of the receiving system

The system has been intended for estimation of electrical
parameters of family unit apparatuses. Critical capacities to
the framework are the simplicity of demonstrating, setup,
and use. From the purchaser perspective, electrical force
utilization of different apparatuses in a house alongside
supply voltage and current is the key parameter. Fig.1 shows
the utilitarian depiction of the created framework to screen
electrical parameters and control machines taking into
account the customer prerequisites.
The estimation of electrical parameters of home
machines is finished by interfacing with created detecting
modules. The subtle elements of the configuration and
improvement of the detecting modules are given in the
accompanying segments. The yield signals from the sensors

B. Measurement Of Electrical Parameters
1) Voltage Measurement: The scaling of the signal is
obtained from the input versus output voltage graph
. The actual voltage is thus obtained as follows:
2) Vact = m1 × Vmeasured voltage (1) where m1 is
the scaling factor obtained, Vact is the actual
voltage, and Vmeasured voltage is the measured
sensing voltage.
3) Current Measurement: For sensing current, we used
Hall Effect Base Linear Current Sensor. This
design allow system designers to monitor any
current path without breaking or changing original
system layout at all. Any current flowing through

A. Block Diagram of Proposed System

Fig. 1: Functional block diagram of the transmitting system

All rights reserved by www.ijsrd.com

1105

Power Management, Monitoring and Controlling in Intelligent Buildings using wireless Sensor Network (WSN)
(IJSRD/Vol. 4/Issue 02/2016/312)

this hole will generate a magnetic field which is
sensed by the integrated Hall IC and converted into
a proportional voltage.
4) Power Measurement: In order to calculate power of
a single-phase ac circuit, the product of root mean
square (RMS) voltage and RMS current must be
multiplied by the power factor
C. Residential Ip Gateway: Transmission Over IP
In order to transmit real-time sensed data over the internet
from the collected computer system, the ZigBee packet
information is to be transformed to the Internet Protocol
Version 6(IPv6). The key element in the data transformation
from ZigBee packet is the address translation. This was
implemented at the application gateway, a program for
determining the source or destination address of a packet
that encapsulates a ZigBee packets’ payload.
The software used on the internet gateway to
transmit data globally is the µVision development platform
is easy-to-use and helping you quickly create embedded
programs that work. The µVision editor and debugger are
integrated in a single application that provides a seamless
embedded project development environment.
Keil Uvision4 is editor as well as compiler also. It
provides us platform to write, edit, debug our code.
Compiler is built in which will convert that embedded c
code into hex code.
D. Storage of Data
The ZigBee packets delivered at the passage embody test
information to be sent to windows based web server. An
application on the server gets bundles on a self-assertive
port and stores the pertinent data out of sight of MySQL
database in the PC.
The database table store data, for example, source
address, time, source channel, and sense information.
Columns are added to this table for every bundle got. This
permits tests to be sorted by time, sensor hub, and sensor
channel.
In the present framework, programs for location,
bundle changes, and information transmission are composed
9utilizing "C" programming dialect, programs for parcel
gathering and information stockpiling are composed
utilizing "C#," and Web interface is produced in eclipse Java
Scripts.
IV. CONCLUSION
A smart power monitoring and control system has been
planned and created toward the usage of a intelligent
building. The developed framework adequately screens and
controls the electrical machine utilizations at an elderly
home.
Thus, the constant checking of the electrical
appliances can be seen through a site. The system can be
stretched out for observing the entire intelligent building.
The system intend to decide the zones of day by day peak
hours of power use levels and accompany an answer by
which the system can bring down the utilization and
improve better use of effectively restricted assets during
peak hours.
The sensor systems are modified with different
client interfaces suitable for clients of fluctuating capacity

and for master clients such that the system can be kept up
effortlessly and connected with essentially.
ACKNOWLEDGMENT
I thank all of the contributing authors for the submission of
their latest research solvent on Receiving set Tycoon
Management in house automation to this Plane section . I
also thankful for all the reviewer and it is their hard
employment , which shuffling it possible for this Focused
Section to be published on the planned schedule. I thank
Prof S.N.Kulkarni and Prof. Saniya Ansari for her help in
everything since I started to discuss this proposed body of
work of the Minutes.
REFERENCES
[1] N KSuryadevara, S C Mukhopadhyay, S T Kelly, and
Satinder Pal Singh Gill “WSN-Based Smart Sensors
and Actuator for Power Management in Intelligent
Buildings”, EEE Trans. Ind. Electron., vol. 58, no. 11,
pp. 5271–5277, july. 2014.
[2] M. Erol-Kantarci and H. T. Mouftah, “Wireless sensor
networks for costefficient residential energy
management in the smart grid,” IEEE Trans. Smart
Grid, vol. 2, no. 2, pp. 314–325, Jun. 2011.
[3] L. Li, H. Xiaoguang, H. Jian, and H. Ketai, “Design of
new architecture of AMR system in Smart Grid,” in
Proc. 6th IEEE Conf. Ind. Electron. Appl., 2011, pp.
2025–2029
[4] D. Man Han and J. Hyun Lim, “Smart home energy
management system using IEEE 802.15.4 and zigbee,”
IEEE Trans. Consumer Electron., vol. 56, no. 3, pp.
1403–1410, Aug. 2010.
[5] V. N. Kamat, “Enabling an electrical revolution using
smart apparent energy meters & tariffs,” in Proc. Annu.
IEEE India Conf., 2011, pp. 1–4
[6] J. Han, C. S. Choi, and I. Lee, “More efficient home
energy management system based on zigbee
communication and infrared remote controls,” IEEE
Trans. Consumer Electron., vol. 57, no. 1, pp. 85–89,
Feb. 2011..
[7] K.Gill, S. H.Yang,F.Yao,andX.Lu,“ A zigbee-based
home automation system,” IEEE Trans. Consumer
Electron., vol. 55, no. 2, pp. 422–430, May 2009.
[8] G. Song, Z. Wei, W. Zhang, and A. Song, “A hybrid
sensor network system for home monitoring
applications,” IEEETrans.ConsumerElectron., vol. 53,
no. 4, pp. 1434–1439, Nov. 2007.
[9] C. Suh and Y. B. Ko, “Design and implementation of
intelligent home control systems base donactive sensor
networks,” IEEETrans.Consumer Electron., vol. 54, no.
3, pp. 1177–1184, Aug. 2008.
[10] W. Huiyong, W. Jingyang, and H. Min, “Building a
smart home system with WSN and service robot,” in
Proc. 5th Int. Conf. Measuring Technol. Mechatronics
Autom., Hong Kong, China, 2013, pp. 353–356.
[11] N. K Suryadevara and S. C. Mukhopadhyay, “Wireless
sensor network based home monitoring system for
wellness determination of elderly,” IEEE Sensors J.,
vol. 12, no. 6, pp. 1965–1972, Jun. 2012.
[12] J. Han, C. S. Choi, and I. Lee, “More efficient home
energy management system based on zigbee

All rights reserved by www.ijsrd.com

1106

Power Management, Monitoring and Controlling in Intelligent Buildings using wireless Sensor Network (WSN)
(IJSRD/Vol. 4/Issue 02/2016/312)

communication and infrared remote controls,” IEEE
Trans. Consumer Electron., vol. 57, no. 1, pp. 85–89,
Feb. 2011
[13] P. Cheong, K.-F. Chang, Y.-H. Lai, S.-K. Ho, I.-K. Sou,
and K.-W. Tam, “A zigbee-based wireless sensor
network node for ultraviolet detection of flame,” IEEE
Trans. Ind. Electron., vol. 58, no. 11, pp. 5271–5277,
Nov. 2011.
[14] F. Benzi, N. Anglani, E. Bassi, and L. Frosini,
“Electricity smart meters interfacing the households,”
IEEE Trans. Ind. Electron., vol. 58, no. 10, pp. 4487–
4494, Oct. 2011.
[15] Kunold,M.Kuller,J.Bauer,andN.Karaoglan,“A system
concept of an energy information system in flats using
wireless technologies and smart metering devices,” in
Proc. IEEE 6th Int. Conf. Intell. Data Acquisition Adv.
Comput. Syst., 2011, pp. 812–816.
[16] M. S. Pan, L. W. Yeh, Y. A. Chen, Y. H. Lin, and Y. C.
Tseng, “A WSNbased intelligent light control system
considering user activities and profiles,” IEEE Sensors
J., vol. 8, no. 10, pp. 1710–1721, Oct. 2008.

All rights reserved by www.ijsrd.com

1107

Sign up to vote on this title
UsefulNot useful