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Research Article 
Design a Smart Control Strategy to Implement an Intelligent 
Energy Safety and Management System 
Jing-Min Wang andMing-Ta Yang 
Department of Electrical Engineering, St. John’s University,No. 499, Section 4, TamKing Road, TamsuiDistrict, 
New Taipei City 25135, Taiwan 
Correspondence should be addressed to Ming-Ta Yang; mtyang@mail.sju.edu.tw 
Received 12 August 2014; Accepted 6 October 2014; Published 28 October 2014 
Academic Editor: Kyung-Chang Lee 
Copyright © 2014 J.-M.Wang and M.-T. Yang.This is an open access article distributed under the Creative Commons Attribution 
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly 
cited. 
The energy saving and electricity safety are today a cause for increasing concern for homes and buildings. Integrating the radio 
frequency identification (RFID) and ZigBee wireless sensor network (WSN) mature technologies, the paper designs a smart control 
strategy to implement an intelligent energy safety andmanagement system(IESMS)which performs energymeasuring, controlling, 
monitoring, and saving of the power outlet system. The presented RFID and billing module is used to identify user, activate 
smart power outlet (SPO) module, deduct payable for electricity, and cut off power supply to the outlets by taking away the RFID 
card. Further work on the SPO module, a control strategy based on the minimum effect and first-in first-out rule, is designed to 
autonomously shut down some of the power outlets instantly to prevent electrical circuit overload. In addition, theWSN transfers 
the power parameters of each SPO module to central energy monitoring platform, and the monitoring platform with graphical 
user interface (GUI) displays the real-time information and power charge of the electricity. Numerous tests validate the proposed 
IESMS and the effectiveness of the smart control strategy.The empirical findings may provide some valuable references for smart 
homes or smart buildings. 
1. Introduction 
The world population is rapidly ageing. According to the 
World Health Organization (WHO) in 2012, the proportion 
of elderly population over 60 years old will double fromabout 
11% to 22% between 2000 and 2050. In addition, around 4%– 
6% of older people in developed countries have experienced 
some form of maltreatment at home. Creation an aged-friendly 
environment and safety living is today an attractive 
issue. The smart home or smart building concept, of course, 
is a promising and cost-effective way to the problems. The 
popularity of home automation has been increasing greatly in 
recent years due to much higher affordability and simplicity 
through network connectivity [1–5], but its current status is 
not matured [1]. 
Fires in residences have taken a high toll of life and 
property. US Fire Administration indicated that there were 
362,100 residential building fires, 2,555 civilian fire deaths, 
13,275 civilian fire injuries, and around $6.6 billion in 
property damage in 2010. Overloaded electrical appliances, 
frayed wires and extension cords, and blown fuses are the 
most common causes of house fires. A no fuse breaker (NFB) 
or called molded case circuit breaker (MCCB) is a plastic 
protective device that interrupts a current if the current 
exceeds the trip rating of the breaker.The NFB is installed in 
the low voltage circuit to protect electrical equipment from 
overload and short circuit. On the overload trip operating 
characteristics, even though the NFB trips, the operating 
circuit may be overheat already. In fact, over 80% electrical 
fires start below the safety threshold of NFB. NFB could not 
guarantee the energy safety. Additionally, long-termoverload 
of the NFB may cause aging mechanism, contact fault, or 
delay trip which always results in electrical fires for the NFB 
failure. Once the NFB trips; furthermore, it would cause the 
major power outages or electricity blackouts that are very 
costly for energy providers and very uncomfortable for users. 
How to reduce the region of power outage and prevent fire 
suffered from overload appliances is also the concern of the 
work. 
Hindawi Publishing Corporation 
International Journal of Distributed Sensor Networks 
Volume 2014, Article ID 312392, 10 pages 
http://dx.doi.org/10.1155/2014/312392
2 International Journal of Distributed Sensor Networks 
Standby power is electricity used by appliances and 
equipment while they are switched off or not perform their 
primary functions. In 2007, International Energy Agency 
(IEA) pointed out that advanced country families did not 
pull the plug and wasted standby power, accounting for about 
5% to 10% of the total electricity consumption. The standby 
power for every family was nearly 30 kWH monthly and 
resulted in carbon dioxide (CO2) emissionof 16 kg.Moreover, 
the standby power was responsible for roughly 1% of global 
carbon dioxide emissions.This is a serious threat for energy 
crisis and greenhouse effect. The utilization of renewable 
energy resources [6] and the development of efficient energy 
management [7, 8] are the key solutions to these problems. 
Power outlets or power sockets are probably the most 
commonly used electrical devices in modern home envi-ronments. 
Unlike conventional power outlets, smart power 
outlets could measure and monitor consumption electricity 
and control ON/OFF states of the electrical appliances. The 
smart power outlets have recently emerged as a newparadigm 
for home energymanagement that can autonomously control 
electrical appliances and especially provide safety electricity 
environment. The needs of finding a smart and intelligent 
power outlet are increasing concern [9]. 
Currently, consumption electricity is a rather complex 
issue for the end-user. The values of consumption electricity 
are hidden from the user. One is never aware which device 
contributes to it to which amount. Consequently, the visu-alization 
of power consumption data of electrical appliances 
for enhancing energy-awareness is becoming increasingly 
important. 
In recent years, the design of efficient energy man-agement 
system for homes or buildings is an active field 
of research. With the advance of microelectromechanical 
system and wireless communication technology have led to 
great progress in radio frequency identification (RFID) [10– 
13] and wireless sensor network (WSN) [5, 8, 13–15]. Among 
the various applications, energy management is probably the 
most important one to be addressed. Elzabadani et al. [16] 
presented an intelligent way to sense new devices installed 
in a smart space. As a result, it can identify and monitor 
any load, but it is unable to collect power information. Song 
et al. [17] constructed a ZigBee-based power outlet for smart 
homes, but it did not measure power consumption. Abe et al. 
[18] proposed a ZigBee-based smart power outlet network for 
gathering power consumption data. However, the presented 
energy management system does not provide any protection 
in an emergency. Based on the ZigBee communication and 
infrared remote control, Han et al. [19] proposed a system 
that performed active control for reducing standby power 
using sensor information.The study lacks overload detection 
and protection. Huang et al. [20] constructed a ZigBee-based 
monitoring system with self-protection. The work equipped 
each power outlet with an energy metering IC to calculate 
power parameters from the outlet. It created more complex 
circuit structure and higher device costs. In addition, they just 
focused on two outlets protection in a branch. 
Energy management system is the integration of tech-nologies 
and services through home networking for an intel-ligent 
living environment. In view of the energy conservation 
and energy safety trends, the paper presents a valuable 
approach to this issue. The intelligent energy safety and 
management system (IESMS) is proposed to lower CO2 
emissions and higher electricity safety by reducing end-user 
consumption electricity and preventing electrical circuit 
overload. Compared to the existing related research [17–20], 
there are some key features concerned with the work. 
(i) Using household appliances, the user needed to be 
identified and obey user-pays principle by means of 
the RFID and billing module. The payment mecha-nism 
may motivate user to save energy. 
(ii) Using the minimum effect and first-in first-out rule, 
a smart control strategy is designed to realize energy-aware 
coordination of the household appliances and 
to implement the IESMS. A microcontroller (MCU) 
programming is developed to secure four power 
outlets in an electrical loop fromoverload and ensure 
home against fire. 
(iii) The paper constructed a SPO module with only an 
energy metering IC to measure and calculate power 
consumption of each of the four power outlets by 
a multiplexer. Compared with the literature [20], 
expenses were reduced. Moreover, the work devel-oped 
a smart control strategy to exercise control over 
the four power outlets in an electrical loop. 
(iv) To achieve further energy efficiency, all the power 
outlets would be automatically shut down while user 
was taking away the RFID card. Consequently, there 
is no standby power consumption of the household 
appliances. 
The results of the study may be useful to researchers 
attempting to develop smart homes or smart buildings. Fur-thermore, 
the IESMS can be applied to the service apartment 
or dormitory. 
The remainder of the paper is organized as follows: the 
system architecture and operation is explained in Section 2. 
Section 3 describes the functions of RFID and billing module. 
SPO module is developed and implemented in Section 4 in 
detail. Section 5 proposed a smart control strategy that per-forms 
overload detection and protection. Numerous exper-imental 
results are presented in Section 6. Finally, Section 7 
presents the conclusions for the work. 
2. System Architecture and Operation 
The capability of power controlling, monitoring, and energy 
safety is indispensable to power management. The section 
presents the architecture for realizing the IESMS based on 
the user-pays principle. Figure 1 depicts the applied IESMS 
for a building. The RFID and billing module, SPO module, 
and ZigBee WSN transmission module were installed in 
each room.The supervisor could access the electricity status 
through the ZigBee WSN and by the graphic user interface 
(GUI), which is performed in central energy monitoring 
platform.The IESMS operation is described as follows.
International Journal of Distributed Sensor Networks 3 
Central energy monitoring 
platform 
Room N 
RFID and billing Smart power outlet 
module 
Lobby coordinator 
Floor router 
Room end device 
Room 2 
Room 1 
Room 1 
Room 1 
Floor 1 
Floor 1 
Floor 3 
Floor 2 
ZigBee WSN 
RFID and billing Smart power outlet 
module 
RFID and billing Smart power outlet 
module 
RFID and billing Smart power outlet 
module 
... 
... 
... 
RFID 
RFID 
RFID 
RFID 
Room N 
Room N 
FloorM 
FloorM 
Room N-1 
FloorM-1 
FloorM-2 
Figure 1: Applied IESMS for a building. 
First, the RFID and billing module could control user 
access and control on or off the power outlets. In addition, 
the module would complete the user-pays claim and shut 
down power outlets automatically as user leaves the room 
and takes away the RFID card. As a result the standby power 
consumption of the household appliances is saving. 
Second, the SPO module is the critical module of the 
whole system since power measurements and overload pro-tection 
are integrated within SPO. It is an autonomous low 
voltage overload control that can provide power system 
operation safety. The power outlet system comprises four 
receptacles each with voltage/current sensing and control 
action, energy metering IC for energy measurement, a 16-bit 
MCU for implementing safety operation, and ZigBee WSN 
module for transmitting the related data to central energy 
monitoring platform. The SPO module detected the power 
parameters anytime while a household appliance plug was 
put in the power outlet. Once the operating current of an 
electrical loop was over the set threshold, the control unit 
would shut down one or more of the power outlets based on 
the minimum effect and first-in first-out rule. Accordingly, 
a major power outage would not happen in the designed 
system. 
Third, the ZigBee is a WSN standard based on the IEEE 
802.15.4 and expected to have an explosive growth in remote 
control and monitoring applications because of its low cost 
and low power consumption.The work employed XBee-Pro 
Series 2 [21] that is designed for high power and long range 
transmission for the ZigBeeWSN. The work used cluster tree 
network structure to connect other ZigBee devices on the 
network. The ZigBee end device was installed in each SPO 
module for transferring the power parameters to the central 
energy monitoring platform. Furthermore, the central energy 
monitoring platform has a lobby coordinator to collect all the 
data fromfloor routers,which are repeaters set in the staircase 
of each floor. 
Finally, the central energy monitoring platform mainly 
consists of ZigBee lobby coordinator and displayer to accom-plish 
the remote energy monitoring. The coordinator is 
the core of the whole ZigBee WSN, which is in charge 
of producing web beacon, collecting all the information 
generated by SPO module of each room, and coordinating 
the traffic of each floor router. All the collected information 
is stored in SQL (structured query language) server. The 
monitoring platform used visual basic (VB) as the interface 
software to provide a user-friendly environment. The GUI on 
the monitoring platform would display the real-time power 
parameters and power charge for each power outlet in an 
electrical loop. The operation flowchart of the system is 
illustrated in Figure 2.
4 International Journal of Distributed Sensor Networks 
SPO module power outage 
Confirm user via RFID 
Identify 
verification 
Yes 
No 
Supply power to the SPO module 
Activate the using household appliances 
Yes 
Total current 
> threshold 
No 
Collect power parameters from 
Shut down some of the appliances 
each power outlet and calculate charge 
ZigBee WSN 
Display the power parameters and charge 
on the central energy monitoring platform 
Figure 2: Operation flowchart of the IESMS. 
3. RFID and Billing Module 
RFID is composed of reader/writer and RFID tag. It is an 
automatic wireless identification technology that uses radio 
wave to transmit data and uniquely identify users individually 
according to their unique identifiers recorded in each RFID 
tag. The reader/writer is a device that receives signal back 
fromthe tag and writes data on the tag. If a user with RFID 
card enters a room, the RFID unit will recognize the user and 
then AC power supplies to SPO module. By the billing unit, 
the electricity bill will be deducted from the RFID card. 
The work used the RFID reader/writer module Mifare 
RC522 [22] connected to Arduino Uno [23] to read/write the 
passive tag. The Arduino Uno is a MCU board based on the 
ATmega328. The RFID card was used to control user access 
and security, control power outlets ON/OFF, and implement 
the user-pays principle. 
Figure 3 shows the control circuit with RFID andArduino 
Uno for supplying power to SPO module. The work used 
solid state relay (SSR) instead of traditional relay for reducing 
power consumption. The RFID and Arduino module sends 
a high voltage to the 퐽-퐾 flip-flop and then the flip-flop 
produces a high voltage to drive the NPN power transistor 
while the user identification is confirmed. The contact of SSR 
closes and the AC power source line is connected to SPO 
module. The SPO module is thus ready for work. A diode 
is placed across the relay coil to protect it from arcing each 
time the coil is deenergized. Moreover, all the power outlets 
were shut down for the identification failure.The nature way 
to reduce the standby power consumption of the household 
appliances achieves further energy-saving. 
4. SPO Module 
The SPO module with an energy metering IC is designed 
to sense, measure, control, and monitor for each household 
appliance and to provide a safety feature in the form of 
overload protection.The SPO module was developed on the 
assumption that an electrical circuit provided four power 
outlets to be used in a room. Figure 4 shows the detailed 
block diagrams of the SPO module indicated units and their
International Journal of Distributed Sensor Networks 5 
Coil 
RFID 
reader/writer Arduino Uno 
+5V 
+5V 
+5V 
J SET Q 
KCLR Q 
SSR 
To 
SPO 
module 
AC 
power 
source 
+ 
− 
Figure 3: Control circuit for supplying power to SPO module. 
interactions.The SPO module consists of five units: the “DC 
power unit,” which supplies power to all the units of the SPO 
module; the “power parameters measuring unit,” sensing and 
measuring power parameters in real time and then sending 
them to MCU; the “MCU,” processing of the information 
frompower parametersmeasuring unit and sending a control 
signal to control unit; the “control unit,” controlling the power 
outlet conditions ON/OFF; the “liquid crystal display (LCD) 
unit,” monitoring the consumption electricity and displaying 
the electricity bill. A brief description of the units is as 
follows. 
4.1. DC Power Unit. The power unit transfers AC 110V to 
various DC powers and provides operating powers for the 
entire system. It delivers low voltage power 5V to all the units 
in SPO module and LCD unit and provides power 3.3V to 
ZigBeeWSN room end device. 
4.2. Power Parameters Measuring Unit. The unit provides 
sense and measure power parameters in real time and send 
out the messages to MCU for controlling and monitoring. 
As shown in Figure 4, the work used voltage divider and 
JCTP-80Z current transformer (CT) to sense the voltage 
and current of each power outlet. The CT is an electrical 
device whose output AC voltage is highly dependent on input 
AC current. It is a very sensitive current-measuring device. 
This fact is illustrated in the characteristic curve shown in 
Figure 5 [24]. It detects the current being used. Each of 
the current sensing signals is periodically sent to energy 
metering IC through a multiplexer. The energy metering IC 
ADE7763 [25] performs root-mean-square calculations on 
the sensing voltage and current and computes the active 
power consumed by each of the household appliances. All the 
real-time processing information needs sending to MCU via 
serial peripheral interface (SPI) bus. 
4.3.MCU. Themain part of the SPOmodule is theMCUthat 
is a 16-bit dsPIC30F4011 [26] and contains built-in analog-to-digital 
converter (ADC), general purpose input and output 
(GPIO), universal asynchronous receiver and transmitter 
(UART), and SPI. The controller has extensive digital signal 
processor functionality, reading all the incoming measuring 
signals processed by energy metering IC, sending signals 
to control unit, ZigBee WSN, and LCD unit. According 
to the information about active power consumption, the 
MCU calculates the electricity bill and sends the message to 
Arduino Uno controller. Leaving the room, the user pays the 
bill by RFID card. 
4.4. ControlUnit. Theunitwas used to control the powerout-let 
ON/OFF for protecting electrical circuit against overload. 
Figure 6 presents the hardware circuit of the control unit. In 
the beginning, the Reset button is pushed and the output 푄 
is on LOW state. The AC power source line is connected to 
power outlet. Under normal operation, MCU sends a low 
signal to the 퐷 flip-flop, with the result that a low voltage on 
푄 is fed into the NPN transistor. Both transistor and relay are 
cut off, and AC power source provides electricity to power 
outlet. However, depending on the control strategy, MCU 
will send some high signals to chosen control units to make 
the power outlets shut down instantly when the amount of 
working current is over the safety threshold. 
4.5. LCD Unit. To monitor the power parameters of the 
household appliances, the LCDwas connected to theGPIOof 
the MCU.The LCD unit employed a 4-bit data transmission 
mode.
6 International Journal of Distributed Sensor Networks 
DC 
power 
unit 
LCD unit 
Voltage sensing 
circuit 
ZigBee WSN 
room end device 
To 
Arduino Uno 
microcontroller 
SPI 
MCU 
GPIO 
Current sensing Current sensing Current sensing Current sensing 
Differential 
Energy metering IC 
From 
MCU GPIO 
From 
MCU GPIO 
From 
MCU GPIO 
From 
MCU GPIO 
From 
MCU GPIO 
To 
To differential 
controller unit 
Binary control input 
binary control input 
Power parameters 
measuring unit 
To entire system 
AC power source 
controlled by 
RFID unit 
Control unit 1 Control unit 2 Control unit 3 Control unit 4 
circuit 1 circuit 2 circuit 3 circuit 4 
4-channel multiplexer 
4-channel multiplexer 
UART(TX) 
Outlet 1 Outlet 2 Outlet 3 Outlet 4 
1, 2, 3, and 4 
Figure 4: Detailed block diagrams of the SPO module. 
10 
1 
0.1 
0.01 
0.001 
Ta = 25 ∘ 
C 
100 Ohms 
10Ohms 
0.01 0.1 1 10 100 1000 
Sensed current in Amps RMS (IO) 
Output in Volts RMS (V) 
Figure 5: Voltage-current characteristic curve of the JCTP-80Z. 
5. Smart Control Strategy 
A smart control strategy needs to be developed and pro-grammed 
to become aware of any overload and to send 
out some signals to control units for controlling power 
outlets ON/OFF. The section presents the control algorithm 
to prevent circuit overload. 
+5V 
+5V 
From 
MCU 
GPIO 
Reset 
Outlet 
D SETQ 
CLR Q 
AC power 
source 
controlled by 
RFID unit 
Figure 6: Control power outlet ON/OFF. 
5.1. Safety Threshold Current for Overload Protection. The 
MCU dsPIC30F4011 has a built-in 10-bit high-speed ADC 
with four sample/hold devices and 500 ksps conversion rate. 
The maximum analog voltage is 5V, then 1V analog input 
can be converted to the digital value of [(210 
− 1)/5 V] × 
1V = 204.6. By looking at the characteristic curve for CT 
(please refer to Figure 5), an AC 9A current produces AC 1V
International Journal of Distributed Sensor Networks 7 
voltage with 100Ω load. For the power line in an electrical 
loop was set by threshold current of 16A in this work, the 
corresponding digital value was (16A/9 A) × 204.6 = 363.73. 
The allowable digital value of 364 was thus chosen as the 
safety margin of the total consumption current for the studied 
SPO module. The safety threshold can be adjusted based on 
the rating current of the electrical loop. 
5.2. Working Flowchart. The focus of our research was to 
propose a control strategy for the SPO module that was able 
to detect the total working current of the four household 
appliances with safety operation and overload protection in 
an electrical loop. The flow diagram of the control strategy 
in Figure 7 was used to show the sequence of the program 
execution, in which 푂푖 is the transformed digital value for 
the 푖th power outlet current. As mentioned earlier, the value 
of the Base with acceptable margin was set 364. The pro-gramming 
flow was based on the minimumeffect and first-in 
first-out rule. The priority of the control strategy is that the 
number of shut power outlets is a minimum and the power 
outlets are shut down sequentially when overload occurs. For 
example, four household appliances labeled as A, B, C, and 
D are plugged in power outlets sequentially. The shutdown 
order of the power outlets is as follows:A → B → C → D → 
A + B → A + C → A + D → B + C → B + 
D → C + D → A + B + C → A + B + D → B + C + D → A + 
B + C + D. 
6. Experimental Results and Validation 
A prototype demo system with four power outlets was 
built in an electrical loop. Figure 8 shows the SPO module 
prototype for measuring, controlling, and monitoring of 
power outlets in a room. As mentioned in the preceding 
section, the total current consumed by household appliances 
with safety margin was set 16A. The MCU controls the 
power outlets ON/OFF by using the minimum effect and 
first-in first-out rule. To verify the feasibility of the control 
strategy and to illustrate the reliability of the proposed SPO, 
numerous experiment measurements and tests were made in 
the section. 
The list of the selected household appliances for the 
test is shown in Table 1. At first the user was needed to be 
identified via RFID unit.The electrical loop with four power 
outlets provided electricity for household appliances. Of the 
various tests evaluated, the experiments were executed on 
the assumption that the appliances were requested to plug 
in the power outlets from 1 to 4 in order. Table 2 shows the 
results with promising outcome. The cross “X” on the table 
is a symbol of unused power outlet. From Table 2, it was 
demonstrated to make sure that the proposed SPO module 
worked well, with regard to both hardware (modules of RFID 
and SPO) and software (execution of programs). Compared 
with the existing conventional power outlet, the designed 
power outlet made every home a smarter, safer and more 
energy efficient environment for consumers and families. 
By the ZigBee WSN transmission, Figure 9 shows the 
GUI monitoring platform, in which it displays the real-time 
Table 1: Household appliances to be tested in the work. 
Item codes Household appliances 
Operating current 
(monitored by 
LCD) 
퐴 Electric fan 0.41A 
퐵 Dehumidifier 1.89A 
퐶 Electric pot 6.22A 
퐷 Electric kettle 7.29 A 
퐸 Hair dryer 9.29 A 
퐹 Induction cooker 10.45A 
results of Test 1 and the use of household appliances 퐴 + 
퐵 + 퐶 + 퐷. The monitor screen includes five blocks. Block 
퐴 is the selected of the floor and room. Block 퐵 displays the 
total working current together with the electrical energy and 
electricity payment (NT dollar-domination) for the selected 
room. Block 퐶 shows the values of the voltage, current and 
active power of the four working power outlets collected 
from the room end device. In addition, Block 퐷 is used to 
show the current real-time dynamic waveforms of the voltage 
(upper with red color) and current (lower with green color) 
for the four appliances. Finally, the history information for 
the working voltage, working current, and active power can 
be also displayed in Block퐷by keying in the date on Block 퐸. 
And the dynamic waveforms of the voltage and current will 
be displayed in 24-hour time span. The display results of GUI 
showthe feasibility of the presented technology. Importantly, 
the proposed technology is designed for smart homes or 
smart buildings. 
7. Conclusion 
Thedesign of an intelligent electricity environment is becom-ing 
more important because of the concerns for the life 
and property. In the paper, an IESMS is developed for 
achieving effective energy management and electricity safety 
for buildings. By integrating the matured RFID and ZigBee 
WSN technologies, the paper proposes a smart control 
strategy and implements the IESMS. The control strategy 
executed in a microprocessor is designed to realize energy-aware 
coordination of the household appliances and to 
implement the IESMS. The primary module in the work is 
the SPOmodule.Themodule constantlymeasures the power 
parameters and exercise control over the power outlets in an 
electrical loop. Furthermore, it also ensures that the overload 
caused no damage to the infrastructure and does not trigger 
the circuit breaker. Finally, numerous experiment tests have 
been conducted to validate the effectiveness and feasibility 
of the proposed IESMS. The presented technology may be 
applied to the service apartments. The paper is expected to 
contribute the valuable results to the related researchers.
8 International Journal of Distributed Sensor Networks 
Initialization 
Base = 364 
Detect currents 
for all outlets Oi 
Sum = ΣOi 
Sum > Base i = 1 Sumi > Base Shut down 
outlet Oi 
i = 1 i ≦ 4 i = i + 1 
j = i + 1 
Sumij > Base Shut down 
j ≦ 4 j = j + 1 
i = 1 i ≦ 3 i = i + 1 
outlets Oi and Oj 
j = i + 1 k = j + 1 Shut down outlets 
Oi, Oj and Ok 
k = k + 1 
k ≦ 4 
j ≦ 3 j = j + 1 
i = i + 1 i ≦ 2 Shut down 
all the outlets 
Yes 
No Yes 
No 
Yes 
No 
Yes 
No 
Yes 
No 
Yes 
No 
Yes 
No 
Yes 
Yes 
No 
No 
Yes 
No 
i = 1, 2, 3, 4 
Sumi = Sum − Oi 
Sumij = Sumi − Oj 
Sumijk = Sumij − Ok Sumijk > Base 
Figure 7: Flow diagram of the program execution for the control strategy.
International Journal of Distributed Sensor Networks 9 
Table 2: Experimental tests and results. 
Experimental tests Household appliances Total current (A) Power outlet conditions 
Demand Actuality Outlet 1 Outlet 2 Outlet 3 Outlet 4 
Test 1 
퐴 0.41 0.41 ON X X X 
퐴 + 퐵 2.30 2.30 ON ON X X 
퐴 + 퐵 + 퐶 8.52 8.52 ON ON ON X 
퐴 + 퐵 + 퐶 + 퐷 15.81 15.81 ON ON ON ON 
Test 2 
퐸 9.29 9.29 ON X X X 
퐸 + 퐷 16.58 7.29 OFF ON X X 
퐸 + 퐷 + 퐶 22.80 13.51 OFF ON ON X 
퐸 + 퐷 + 퐶 + 퐵 24.69 15.40 OFF ON ON ON 
Test 3 
퐶 6.22 6.22 ON X X X 
퐶 + 퐹 16.67 10.45 OFF ON X X 
퐶 + 퐹 + 퐸 25.96 15.51 ON OFF ON X 
퐶 + 퐹 + 퐸 + 퐵 27.85 12.34 OFF OFF ON ON 
Test 4 
퐶 + 퐸 15.51 15.51 ON ON X X 
퐶 + 퐸 + 퐹 25.96 15.51 ON ON OFF X 
퐶 + 퐸 + 퐹 + 퐴 26.37 15.92 ON ON OFF ON 
퐶 + 퐸 + 퐹 + 퐷 33.25 13.51 ON OFF OFF ON 
Figure 8: SPO module prototype. 
Figure 9: Test results shown on GUI monitoring platform. 
Conflict of Interests 
The authors declare that there is no conflict of interests 
regarding the publication of this paper. 
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[8] D.-M. Han and J.-H. Lim, “Smart home energy management 
system using IEEE 802.15.4 and zigbee,” IEEE Transactions on 
Consumer Electronics, vol. 56, no. 3, pp. 1403–1410, 2010. 
[9] Y. Hiranaka, Y. Sato, T. Taketa, and S. Miura, “Smart power 
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13th International Conference on Advanced Communication 
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Republic of Korea, February 2011. 
[10] N. F. B. I. Gulcharan, H. Daud, N.M. Nor, T. Ibrahim, and E. T. 
Nyamasvisva, “Limitation and solution for healthcare network 
using RFID technology: a review,” Procedia Technology, vol. 11, 
pp. 565–571, 2013.
10 International Journal of Distributed Sensor Networks 
[11] T. Nozawa and M. Inoue, “Smart Outlet for realizing secure 
and green living,” in Proceedings of the 15th IEEE International 
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Singapore, June 2011. 
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Electronics (ICCE ’11), pp. 511–512, Las Vegas, Nev, USA, January 
2011. 
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sector—requirements, energy and cost efficiencies,” 
Energy and Buildings, vol. 73, no. 4, pp. 212–216, 2014. 
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Kim, “Smart solutions in elderly care facilities with RFID system 
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713946, 11 pages, 2014. 
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http://www.nxp.com/documents/data sheet/MFRC522.pdf. 
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com/webdocs/0e8b/0900766b80e8ba21.pdf. 
[24] AC current transformer, June 2014, http://us.100y.com.tw/pdf 
file/46-J&D-JCTP-80,80Z.pdf. 
[25] “Energy metering IC ADE7763 user manual,” http://www 
.analog.com/static/imported-files/data sheets/ADE7763.pdf. 
[26] dsPIC30F4011 microcontroller user manual, 2014, http://ww1 
microchip.com/downloads/en/devicedoc/70135C.pdf.
Hindawi Publishing Corporation 
http://www.hindawi.com Volume 2014 
Journal of Engineering 
Journal of 
Submit your manuscripts at 
http://www.hindawi.com 
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Rotating 
Machinery 
VLSI Design 
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Shock and Vibration 
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Civil Engineering 
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Acoustics and Vibration 
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Electrical and Computer 
Engineering 
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The Scientific 
World Journal 
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Distributed 
Sensor Networks 
Hindawi Publishing Corporation 
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Sensors 
Hindawi Publishing Corporation 
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Simulation 
in Engineering 
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Chemical Engineering 
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Active and Passive 
Electronic Components 
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Design a smart control strategy to implement an intelligent

  • 1. Research Article Design a Smart Control Strategy to Implement an Intelligent Energy Safety and Management System Jing-Min Wang andMing-Ta Yang Department of Electrical Engineering, St. John’s University,No. 499, Section 4, TamKing Road, TamsuiDistrict, New Taipei City 25135, Taiwan Correspondence should be addressed to Ming-Ta Yang; mtyang@mail.sju.edu.tw Received 12 August 2014; Accepted 6 October 2014; Published 28 October 2014 Academic Editor: Kyung-Chang Lee Copyright © 2014 J.-M.Wang and M.-T. Yang.This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The energy saving and electricity safety are today a cause for increasing concern for homes and buildings. Integrating the radio frequency identification (RFID) and ZigBee wireless sensor network (WSN) mature technologies, the paper designs a smart control strategy to implement an intelligent energy safety andmanagement system(IESMS)which performs energymeasuring, controlling, monitoring, and saving of the power outlet system. The presented RFID and billing module is used to identify user, activate smart power outlet (SPO) module, deduct payable for electricity, and cut off power supply to the outlets by taking away the RFID card. Further work on the SPO module, a control strategy based on the minimum effect and first-in first-out rule, is designed to autonomously shut down some of the power outlets instantly to prevent electrical circuit overload. In addition, theWSN transfers the power parameters of each SPO module to central energy monitoring platform, and the monitoring platform with graphical user interface (GUI) displays the real-time information and power charge of the electricity. Numerous tests validate the proposed IESMS and the effectiveness of the smart control strategy.The empirical findings may provide some valuable references for smart homes or smart buildings. 1. Introduction The world population is rapidly ageing. According to the World Health Organization (WHO) in 2012, the proportion of elderly population over 60 years old will double fromabout 11% to 22% between 2000 and 2050. In addition, around 4%– 6% of older people in developed countries have experienced some form of maltreatment at home. Creation an aged-friendly environment and safety living is today an attractive issue. The smart home or smart building concept, of course, is a promising and cost-effective way to the problems. The popularity of home automation has been increasing greatly in recent years due to much higher affordability and simplicity through network connectivity [1–5], but its current status is not matured [1]. Fires in residences have taken a high toll of life and property. US Fire Administration indicated that there were 362,100 residential building fires, 2,555 civilian fire deaths, 13,275 civilian fire injuries, and around $6.6 billion in property damage in 2010. Overloaded electrical appliances, frayed wires and extension cords, and blown fuses are the most common causes of house fires. A no fuse breaker (NFB) or called molded case circuit breaker (MCCB) is a plastic protective device that interrupts a current if the current exceeds the trip rating of the breaker.The NFB is installed in the low voltage circuit to protect electrical equipment from overload and short circuit. On the overload trip operating characteristics, even though the NFB trips, the operating circuit may be overheat already. In fact, over 80% electrical fires start below the safety threshold of NFB. NFB could not guarantee the energy safety. Additionally, long-termoverload of the NFB may cause aging mechanism, contact fault, or delay trip which always results in electrical fires for the NFB failure. Once the NFB trips; furthermore, it would cause the major power outages or electricity blackouts that are very costly for energy providers and very uncomfortable for users. How to reduce the region of power outage and prevent fire suffered from overload appliances is also the concern of the work. Hindawi Publishing Corporation International Journal of Distributed Sensor Networks Volume 2014, Article ID 312392, 10 pages http://dx.doi.org/10.1155/2014/312392
  • 2. 2 International Journal of Distributed Sensor Networks Standby power is electricity used by appliances and equipment while they are switched off or not perform their primary functions. In 2007, International Energy Agency (IEA) pointed out that advanced country families did not pull the plug and wasted standby power, accounting for about 5% to 10% of the total electricity consumption. The standby power for every family was nearly 30 kWH monthly and resulted in carbon dioxide (CO2) emissionof 16 kg.Moreover, the standby power was responsible for roughly 1% of global carbon dioxide emissions.This is a serious threat for energy crisis and greenhouse effect. The utilization of renewable energy resources [6] and the development of efficient energy management [7, 8] are the key solutions to these problems. Power outlets or power sockets are probably the most commonly used electrical devices in modern home envi-ronments. Unlike conventional power outlets, smart power outlets could measure and monitor consumption electricity and control ON/OFF states of the electrical appliances. The smart power outlets have recently emerged as a newparadigm for home energymanagement that can autonomously control electrical appliances and especially provide safety electricity environment. The needs of finding a smart and intelligent power outlet are increasing concern [9]. Currently, consumption electricity is a rather complex issue for the end-user. The values of consumption electricity are hidden from the user. One is never aware which device contributes to it to which amount. Consequently, the visu-alization of power consumption data of electrical appliances for enhancing energy-awareness is becoming increasingly important. In recent years, the design of efficient energy man-agement system for homes or buildings is an active field of research. With the advance of microelectromechanical system and wireless communication technology have led to great progress in radio frequency identification (RFID) [10– 13] and wireless sensor network (WSN) [5, 8, 13–15]. Among the various applications, energy management is probably the most important one to be addressed. Elzabadani et al. [16] presented an intelligent way to sense new devices installed in a smart space. As a result, it can identify and monitor any load, but it is unable to collect power information. Song et al. [17] constructed a ZigBee-based power outlet for smart homes, but it did not measure power consumption. Abe et al. [18] proposed a ZigBee-based smart power outlet network for gathering power consumption data. However, the presented energy management system does not provide any protection in an emergency. Based on the ZigBee communication and infrared remote control, Han et al. [19] proposed a system that performed active control for reducing standby power using sensor information.The study lacks overload detection and protection. Huang et al. [20] constructed a ZigBee-based monitoring system with self-protection. The work equipped each power outlet with an energy metering IC to calculate power parameters from the outlet. It created more complex circuit structure and higher device costs. In addition, they just focused on two outlets protection in a branch. Energy management system is the integration of tech-nologies and services through home networking for an intel-ligent living environment. In view of the energy conservation and energy safety trends, the paper presents a valuable approach to this issue. The intelligent energy safety and management system (IESMS) is proposed to lower CO2 emissions and higher electricity safety by reducing end-user consumption electricity and preventing electrical circuit overload. Compared to the existing related research [17–20], there are some key features concerned with the work. (i) Using household appliances, the user needed to be identified and obey user-pays principle by means of the RFID and billing module. The payment mecha-nism may motivate user to save energy. (ii) Using the minimum effect and first-in first-out rule, a smart control strategy is designed to realize energy-aware coordination of the household appliances and to implement the IESMS. A microcontroller (MCU) programming is developed to secure four power outlets in an electrical loop fromoverload and ensure home against fire. (iii) The paper constructed a SPO module with only an energy metering IC to measure and calculate power consumption of each of the four power outlets by a multiplexer. Compared with the literature [20], expenses were reduced. Moreover, the work devel-oped a smart control strategy to exercise control over the four power outlets in an electrical loop. (iv) To achieve further energy efficiency, all the power outlets would be automatically shut down while user was taking away the RFID card. Consequently, there is no standby power consumption of the household appliances. The results of the study may be useful to researchers attempting to develop smart homes or smart buildings. Fur-thermore, the IESMS can be applied to the service apartment or dormitory. The remainder of the paper is organized as follows: the system architecture and operation is explained in Section 2. Section 3 describes the functions of RFID and billing module. SPO module is developed and implemented in Section 4 in detail. Section 5 proposed a smart control strategy that per-forms overload detection and protection. Numerous exper-imental results are presented in Section 6. Finally, Section 7 presents the conclusions for the work. 2. System Architecture and Operation The capability of power controlling, monitoring, and energy safety is indispensable to power management. The section presents the architecture for realizing the IESMS based on the user-pays principle. Figure 1 depicts the applied IESMS for a building. The RFID and billing module, SPO module, and ZigBee WSN transmission module were installed in each room.The supervisor could access the electricity status through the ZigBee WSN and by the graphic user interface (GUI), which is performed in central energy monitoring platform.The IESMS operation is described as follows.
  • 3. International Journal of Distributed Sensor Networks 3 Central energy monitoring platform Room N RFID and billing Smart power outlet module Lobby coordinator Floor router Room end device Room 2 Room 1 Room 1 Room 1 Floor 1 Floor 1 Floor 3 Floor 2 ZigBee WSN RFID and billing Smart power outlet module RFID and billing Smart power outlet module RFID and billing Smart power outlet module ... ... ... RFID RFID RFID RFID Room N Room N FloorM FloorM Room N-1 FloorM-1 FloorM-2 Figure 1: Applied IESMS for a building. First, the RFID and billing module could control user access and control on or off the power outlets. In addition, the module would complete the user-pays claim and shut down power outlets automatically as user leaves the room and takes away the RFID card. As a result the standby power consumption of the household appliances is saving. Second, the SPO module is the critical module of the whole system since power measurements and overload pro-tection are integrated within SPO. It is an autonomous low voltage overload control that can provide power system operation safety. The power outlet system comprises four receptacles each with voltage/current sensing and control action, energy metering IC for energy measurement, a 16-bit MCU for implementing safety operation, and ZigBee WSN module for transmitting the related data to central energy monitoring platform. The SPO module detected the power parameters anytime while a household appliance plug was put in the power outlet. Once the operating current of an electrical loop was over the set threshold, the control unit would shut down one or more of the power outlets based on the minimum effect and first-in first-out rule. Accordingly, a major power outage would not happen in the designed system. Third, the ZigBee is a WSN standard based on the IEEE 802.15.4 and expected to have an explosive growth in remote control and monitoring applications because of its low cost and low power consumption.The work employed XBee-Pro Series 2 [21] that is designed for high power and long range transmission for the ZigBeeWSN. The work used cluster tree network structure to connect other ZigBee devices on the network. The ZigBee end device was installed in each SPO module for transferring the power parameters to the central energy monitoring platform. Furthermore, the central energy monitoring platform has a lobby coordinator to collect all the data fromfloor routers,which are repeaters set in the staircase of each floor. Finally, the central energy monitoring platform mainly consists of ZigBee lobby coordinator and displayer to accom-plish the remote energy monitoring. The coordinator is the core of the whole ZigBee WSN, which is in charge of producing web beacon, collecting all the information generated by SPO module of each room, and coordinating the traffic of each floor router. All the collected information is stored in SQL (structured query language) server. The monitoring platform used visual basic (VB) as the interface software to provide a user-friendly environment. The GUI on the monitoring platform would display the real-time power parameters and power charge for each power outlet in an electrical loop. The operation flowchart of the system is illustrated in Figure 2.
  • 4. 4 International Journal of Distributed Sensor Networks SPO module power outage Confirm user via RFID Identify verification Yes No Supply power to the SPO module Activate the using household appliances Yes Total current > threshold No Collect power parameters from Shut down some of the appliances each power outlet and calculate charge ZigBee WSN Display the power parameters and charge on the central energy monitoring platform Figure 2: Operation flowchart of the IESMS. 3. RFID and Billing Module RFID is composed of reader/writer and RFID tag. It is an automatic wireless identification technology that uses radio wave to transmit data and uniquely identify users individually according to their unique identifiers recorded in each RFID tag. The reader/writer is a device that receives signal back fromthe tag and writes data on the tag. If a user with RFID card enters a room, the RFID unit will recognize the user and then AC power supplies to SPO module. By the billing unit, the electricity bill will be deducted from the RFID card. The work used the RFID reader/writer module Mifare RC522 [22] connected to Arduino Uno [23] to read/write the passive tag. The Arduino Uno is a MCU board based on the ATmega328. The RFID card was used to control user access and security, control power outlets ON/OFF, and implement the user-pays principle. Figure 3 shows the control circuit with RFID andArduino Uno for supplying power to SPO module. The work used solid state relay (SSR) instead of traditional relay for reducing power consumption. The RFID and Arduino module sends a high voltage to the 퐽-퐾 flip-flop and then the flip-flop produces a high voltage to drive the NPN power transistor while the user identification is confirmed. The contact of SSR closes and the AC power source line is connected to SPO module. The SPO module is thus ready for work. A diode is placed across the relay coil to protect it from arcing each time the coil is deenergized. Moreover, all the power outlets were shut down for the identification failure.The nature way to reduce the standby power consumption of the household appliances achieves further energy-saving. 4. SPO Module The SPO module with an energy metering IC is designed to sense, measure, control, and monitor for each household appliance and to provide a safety feature in the form of overload protection.The SPO module was developed on the assumption that an electrical circuit provided four power outlets to be used in a room. Figure 4 shows the detailed block diagrams of the SPO module indicated units and their
  • 5. International Journal of Distributed Sensor Networks 5 Coil RFID reader/writer Arduino Uno +5V +5V +5V J SET Q KCLR Q SSR To SPO module AC power source + − Figure 3: Control circuit for supplying power to SPO module. interactions.The SPO module consists of five units: the “DC power unit,” which supplies power to all the units of the SPO module; the “power parameters measuring unit,” sensing and measuring power parameters in real time and then sending them to MCU; the “MCU,” processing of the information frompower parametersmeasuring unit and sending a control signal to control unit; the “control unit,” controlling the power outlet conditions ON/OFF; the “liquid crystal display (LCD) unit,” monitoring the consumption electricity and displaying the electricity bill. A brief description of the units is as follows. 4.1. DC Power Unit. The power unit transfers AC 110V to various DC powers and provides operating powers for the entire system. It delivers low voltage power 5V to all the units in SPO module and LCD unit and provides power 3.3V to ZigBeeWSN room end device. 4.2. Power Parameters Measuring Unit. The unit provides sense and measure power parameters in real time and send out the messages to MCU for controlling and monitoring. As shown in Figure 4, the work used voltage divider and JCTP-80Z current transformer (CT) to sense the voltage and current of each power outlet. The CT is an electrical device whose output AC voltage is highly dependent on input AC current. It is a very sensitive current-measuring device. This fact is illustrated in the characteristic curve shown in Figure 5 [24]. It detects the current being used. Each of the current sensing signals is periodically sent to energy metering IC through a multiplexer. The energy metering IC ADE7763 [25] performs root-mean-square calculations on the sensing voltage and current and computes the active power consumed by each of the household appliances. All the real-time processing information needs sending to MCU via serial peripheral interface (SPI) bus. 4.3.MCU. Themain part of the SPOmodule is theMCUthat is a 16-bit dsPIC30F4011 [26] and contains built-in analog-to-digital converter (ADC), general purpose input and output (GPIO), universal asynchronous receiver and transmitter (UART), and SPI. The controller has extensive digital signal processor functionality, reading all the incoming measuring signals processed by energy metering IC, sending signals to control unit, ZigBee WSN, and LCD unit. According to the information about active power consumption, the MCU calculates the electricity bill and sends the message to Arduino Uno controller. Leaving the room, the user pays the bill by RFID card. 4.4. ControlUnit. Theunitwas used to control the powerout-let ON/OFF for protecting electrical circuit against overload. Figure 6 presents the hardware circuit of the control unit. In the beginning, the Reset button is pushed and the output 푄 is on LOW state. The AC power source line is connected to power outlet. Under normal operation, MCU sends a low signal to the 퐷 flip-flop, with the result that a low voltage on 푄 is fed into the NPN transistor. Both transistor and relay are cut off, and AC power source provides electricity to power outlet. However, depending on the control strategy, MCU will send some high signals to chosen control units to make the power outlets shut down instantly when the amount of working current is over the safety threshold. 4.5. LCD Unit. To monitor the power parameters of the household appliances, the LCDwas connected to theGPIOof the MCU.The LCD unit employed a 4-bit data transmission mode.
  • 6. 6 International Journal of Distributed Sensor Networks DC power unit LCD unit Voltage sensing circuit ZigBee WSN room end device To Arduino Uno microcontroller SPI MCU GPIO Current sensing Current sensing Current sensing Current sensing Differential Energy metering IC From MCU GPIO From MCU GPIO From MCU GPIO From MCU GPIO From MCU GPIO To To differential controller unit Binary control input binary control input Power parameters measuring unit To entire system AC power source controlled by RFID unit Control unit 1 Control unit 2 Control unit 3 Control unit 4 circuit 1 circuit 2 circuit 3 circuit 4 4-channel multiplexer 4-channel multiplexer UART(TX) Outlet 1 Outlet 2 Outlet 3 Outlet 4 1, 2, 3, and 4 Figure 4: Detailed block diagrams of the SPO module. 10 1 0.1 0.01 0.001 Ta = 25 ∘ C 100 Ohms 10Ohms 0.01 0.1 1 10 100 1000 Sensed current in Amps RMS (IO) Output in Volts RMS (V) Figure 5: Voltage-current characteristic curve of the JCTP-80Z. 5. Smart Control Strategy A smart control strategy needs to be developed and pro-grammed to become aware of any overload and to send out some signals to control units for controlling power outlets ON/OFF. The section presents the control algorithm to prevent circuit overload. +5V +5V From MCU GPIO Reset Outlet D SETQ CLR Q AC power source controlled by RFID unit Figure 6: Control power outlet ON/OFF. 5.1. Safety Threshold Current for Overload Protection. The MCU dsPIC30F4011 has a built-in 10-bit high-speed ADC with four sample/hold devices and 500 ksps conversion rate. The maximum analog voltage is 5V, then 1V analog input can be converted to the digital value of [(210 − 1)/5 V] × 1V = 204.6. By looking at the characteristic curve for CT (please refer to Figure 5), an AC 9A current produces AC 1V
  • 7. International Journal of Distributed Sensor Networks 7 voltage with 100Ω load. For the power line in an electrical loop was set by threshold current of 16A in this work, the corresponding digital value was (16A/9 A) × 204.6 = 363.73. The allowable digital value of 364 was thus chosen as the safety margin of the total consumption current for the studied SPO module. The safety threshold can be adjusted based on the rating current of the electrical loop. 5.2. Working Flowchart. The focus of our research was to propose a control strategy for the SPO module that was able to detect the total working current of the four household appliances with safety operation and overload protection in an electrical loop. The flow diagram of the control strategy in Figure 7 was used to show the sequence of the program execution, in which 푂푖 is the transformed digital value for the 푖th power outlet current. As mentioned earlier, the value of the Base with acceptable margin was set 364. The pro-gramming flow was based on the minimumeffect and first-in first-out rule. The priority of the control strategy is that the number of shut power outlets is a minimum and the power outlets are shut down sequentially when overload occurs. For example, four household appliances labeled as A, B, C, and D are plugged in power outlets sequentially. The shutdown order of the power outlets is as follows:A → B → C → D → A + B → A + C → A + D → B + C → B + D → C + D → A + B + C → A + B + D → B + C + D → A + B + C + D. 6. Experimental Results and Validation A prototype demo system with four power outlets was built in an electrical loop. Figure 8 shows the SPO module prototype for measuring, controlling, and monitoring of power outlets in a room. As mentioned in the preceding section, the total current consumed by household appliances with safety margin was set 16A. The MCU controls the power outlets ON/OFF by using the minimum effect and first-in first-out rule. To verify the feasibility of the control strategy and to illustrate the reliability of the proposed SPO, numerous experiment measurements and tests were made in the section. The list of the selected household appliances for the test is shown in Table 1. At first the user was needed to be identified via RFID unit.The electrical loop with four power outlets provided electricity for household appliances. Of the various tests evaluated, the experiments were executed on the assumption that the appliances were requested to plug in the power outlets from 1 to 4 in order. Table 2 shows the results with promising outcome. The cross “X” on the table is a symbol of unused power outlet. From Table 2, it was demonstrated to make sure that the proposed SPO module worked well, with regard to both hardware (modules of RFID and SPO) and software (execution of programs). Compared with the existing conventional power outlet, the designed power outlet made every home a smarter, safer and more energy efficient environment for consumers and families. By the ZigBee WSN transmission, Figure 9 shows the GUI monitoring platform, in which it displays the real-time Table 1: Household appliances to be tested in the work. Item codes Household appliances Operating current (monitored by LCD) 퐴 Electric fan 0.41A 퐵 Dehumidifier 1.89A 퐶 Electric pot 6.22A 퐷 Electric kettle 7.29 A 퐸 Hair dryer 9.29 A 퐹 Induction cooker 10.45A results of Test 1 and the use of household appliances 퐴 + 퐵 + 퐶 + 퐷. The monitor screen includes five blocks. Block 퐴 is the selected of the floor and room. Block 퐵 displays the total working current together with the electrical energy and electricity payment (NT dollar-domination) for the selected room. Block 퐶 shows the values of the voltage, current and active power of the four working power outlets collected from the room end device. In addition, Block 퐷 is used to show the current real-time dynamic waveforms of the voltage (upper with red color) and current (lower with green color) for the four appliances. Finally, the history information for the working voltage, working current, and active power can be also displayed in Block퐷by keying in the date on Block 퐸. And the dynamic waveforms of the voltage and current will be displayed in 24-hour time span. The display results of GUI showthe feasibility of the presented technology. Importantly, the proposed technology is designed for smart homes or smart buildings. 7. Conclusion Thedesign of an intelligent electricity environment is becom-ing more important because of the concerns for the life and property. In the paper, an IESMS is developed for achieving effective energy management and electricity safety for buildings. By integrating the matured RFID and ZigBee WSN technologies, the paper proposes a smart control strategy and implements the IESMS. The control strategy executed in a microprocessor is designed to realize energy-aware coordination of the household appliances and to implement the IESMS. The primary module in the work is the SPOmodule.Themodule constantlymeasures the power parameters and exercise control over the power outlets in an electrical loop. Furthermore, it also ensures that the overload caused no damage to the infrastructure and does not trigger the circuit breaker. Finally, numerous experiment tests have been conducted to validate the effectiveness and feasibility of the proposed IESMS. The presented technology may be applied to the service apartments. The paper is expected to contribute the valuable results to the related researchers.
  • 8. 8 International Journal of Distributed Sensor Networks Initialization Base = 364 Detect currents for all outlets Oi Sum = ΣOi Sum > Base i = 1 Sumi > Base Shut down outlet Oi i = 1 i ≦ 4 i = i + 1 j = i + 1 Sumij > Base Shut down j ≦ 4 j = j + 1 i = 1 i ≦ 3 i = i + 1 outlets Oi and Oj j = i + 1 k = j + 1 Shut down outlets Oi, Oj and Ok k = k + 1 k ≦ 4 j ≦ 3 j = j + 1 i = i + 1 i ≦ 2 Shut down all the outlets Yes No Yes No Yes No Yes No Yes No Yes No Yes No Yes Yes No No Yes No i = 1, 2, 3, 4 Sumi = Sum − Oi Sumij = Sumi − Oj Sumijk = Sumij − Ok Sumijk > Base Figure 7: Flow diagram of the program execution for the control strategy.
  • 9. International Journal of Distributed Sensor Networks 9 Table 2: Experimental tests and results. Experimental tests Household appliances Total current (A) Power outlet conditions Demand Actuality Outlet 1 Outlet 2 Outlet 3 Outlet 4 Test 1 퐴 0.41 0.41 ON X X X 퐴 + 퐵 2.30 2.30 ON ON X X 퐴 + 퐵 + 퐶 8.52 8.52 ON ON ON X 퐴 + 퐵 + 퐶 + 퐷 15.81 15.81 ON ON ON ON Test 2 퐸 9.29 9.29 ON X X X 퐸 + 퐷 16.58 7.29 OFF ON X X 퐸 + 퐷 + 퐶 22.80 13.51 OFF ON ON X 퐸 + 퐷 + 퐶 + 퐵 24.69 15.40 OFF ON ON ON Test 3 퐶 6.22 6.22 ON X X X 퐶 + 퐹 16.67 10.45 OFF ON X X 퐶 + 퐹 + 퐸 25.96 15.51 ON OFF ON X 퐶 + 퐹 + 퐸 + 퐵 27.85 12.34 OFF OFF ON ON Test 4 퐶 + 퐸 15.51 15.51 ON ON X X 퐶 + 퐸 + 퐹 25.96 15.51 ON ON OFF X 퐶 + 퐸 + 퐹 + 퐴 26.37 15.92 ON ON OFF ON 퐶 + 퐸 + 퐹 + 퐷 33.25 13.51 ON OFF OFF ON Figure 8: SPO module prototype. Figure 9: Test results shown on GUI monitoring platform. Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper. References [1] N. Saito, “Ecological home network: an overview,” Proceedings of the IEEE, vol. 101, no. 11, pp. 2428–2435, 2013. [2] T. A. Nguyen and M. Aiello, “Energy intelligent buildings based on user activity: a survey,” Energy and Buildings, vol. 56, no. 1, pp. 244–257, 2013. [3] M.-T. Yang, C.-C. Chen, and Y.-L. Kuo, “Implementation of intelligent air conditioner for fine agriculture,” Energy and Buildings, vol. 60, pp. 364–371, 2013. [4] T. Li, J. Ren, and X. Tang, “Secure wireless monitoring and control systems for smart grid and smart home,” IEEE Wireless Communications, vol. 19, no. 3, pp. 66–73, 2012. [5] J. Byun, B. Jeon, J. Noh, Y. Kim, and S. Park, “An intelligent self-adjusting sensor for smart home services based on ZigBee communications,” IEEE Transactions on Consumer Electronics, vol. 58, no. 3, pp. 794–802, 2012. [6] J.-M.Wang and C.-L. Lu, “Design and implementation of a sun trackerwithadual-axis singlemotor for anoptical sensor-based photovoltaic system,” Sensors (Switzerland), vol. 13, no. 3, pp. 3157–3168, 2013. [7] L. Zhao, J. L. Zhang, and R. B. Liang, “Development of an energy monitoring system for large public buildings,” Energy and Buildings, vol. 66, pp. 41–48, 2013. [8] D.-M. Han and J.-H. Lim, “Smart home energy management system using IEEE 802.15.4 and zigbee,” IEEE Transactions on Consumer Electronics, vol. 56, no. 3, pp. 1403–1410, 2010. [9] Y. Hiranaka, Y. Sato, T. Taketa, and S. Miura, “Smart power outlets with cross-layer communication,” in Proceedings of the 13th International Conference on Advanced Communication Technology (ICACT ’11), pp. 1388–1393, Phoenix Park, The Republic of Korea, February 2011. [10] N. F. B. I. Gulcharan, H. Daud, N.M. Nor, T. Ibrahim, and E. T. Nyamasvisva, “Limitation and solution for healthcare network using RFID technology: a review,” Procedia Technology, vol. 11, pp. 565–571, 2013.
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