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Design of a Home Fire Detection System Using Arduino and SMS Gateway

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  • universitas musamus

Abstract and Figures

Fire is a problem that can happen at any time. Delay in coping with house fires can induce in loss of human life or material. If the fire is not held severely, incidents like house fires can occur and create more significant losses, especially with the increasing number of residents’ settlements in the formation of huddled houses, which will be more challenging to handle in case of a fire. This research aims to build a prototype system that quickly helps house owners and firefighters to detect fires and gas leaks. This home fire detection system is utilized to measure room temperature and gas levels in a room, then the output of this system is sending information of short messages and alarms. The results revealed that the prototype room with a scale of 1:25, 1:50, and 1:75 which uses a temperature sensor and a gas sensor could run as desired. In 10 testing trials, the system works according to the designed plan, which means the system could interpret the temperature and gas leakage of a room, then the system will send a short message and ring the alarm.
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Article
Design of a Home Fire Detection System Using Arduino and
SMS Gateway
Suwarjono Suwarjono 1, * , Izak Habel Wayangkau 1, Teddy Istanto 1, Rachmat Rachmat 1,
Marsujitullah Marsujitullah 1, Hariyanto Hariyanto 2, Wahyu Caesarendra 3,* , Stanislaw Legutko 4
and Adam Glowacz 5


Citation: Suwarjono, S.; Wayangkau,
I.H.; Istanto, T.; Rachmat, R.;
Marsujitullah, M.; Hariyanto, H.;
Caesarendra, W.; Legutko, S.;
Glowacz, A. Design of a Home Fire
Detection System Using Arduino and
SMS Gateway. Knowledge 2021,1,
61–74. https://doi.org/10.3390/
knowledge1010007
Academic Editor: Gwanggil Jeon
Received: 4 September 2021
Accepted: 2 November 2021
Published: 10 November 2021
Publisher’s Note: MDPI stays neutral
with regard to jurisdictional claims in
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iations.
Copyright: © 2021 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
1Department of Informatics, Universitas Musamus, Merauke 99600, Papua, Indonesia;
izak@unmus.ac.id (I.H.W.); istanto@unmus.ac.id (T.I.); rachmat@unmus.a.c.id (R.R.);
marsujitullah@unmus.ac.id (M.M.)
2Department of Mechanical Engineering, Universitas Musamus, Merauke 99600, Papua, Indonesia;
hariyanto_ft@unmus.ac.id
3
Faculty of Integrated Technologies, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei
4Faculty of Mechanical Engineering and Management, Poznan University of Technology, 3 Piotrowo Street,
60-965 Poznan, Poland; stanislaw.legutko@put.poznan.pl
5Department of Automatic Control and Robotics, Faculty of Electrical Engineering, Automatics,
Computer Science and Biomedical Engineering, AGH University of Science and Technology,
al. A. Mickiewicza 30, 30-059 Kraków, Poland; adglow@agh.edu.pl
*Correspondence: suwarjono@unmus.ac.id (S.S.); wahyu.caesarendra@ubd.edu.bn (W.C.)
Abstract:
Fire is a problem that can happen at any time. Delay in coping with house fires can induce
in loss of human life or material. If the fire is not held severely, incidents like house fires can occur
and create more significant losses, especially with the increasing number of residents’ settlements in
the formation of huddled houses, which will be more challenging to handle in case of a fire. This
research aims to build a prototype system that quickly helps house owners and firefighters to detect
fires and gas leaks. This home fire detection system is utilized to measure room temperature and
gas levels in a room, then the output of this system is sending information of short messages and
alarms. The results revealed that the prototype room with a scale of 1:25, 1:50, and 1:75 which uses
a temperature sensor and a gas sensor could run as desired. In 10 testing trials, the system works
according to the designed plan, which means the system could interpret the temperature and gas
leakage of a room, then the system will send a short message and ring the alarm.
Keywords: fire; Arduino; sensor MQ2; sensor DS18B20; buzzer
1. Introduction
Fire is one of the tragedies that cannot be predicted. Besides being unwanted, it is
also often uncontrollable when the fire spreads. Fire incidents are hazardous and disrupt
people’s lives and livelihoods. Fire is categorized as a form of disaster. According to the
National Disaster Management Agency (BNPB) in Indonesia [
1
], a disaster is a series of
cases that threatens and disrupts people’s lives and livelihoods caused by natural factors,
non-natural factors, or human factors, resulting in loss of life, environmental damage,
property loss, and psychological impact.
Delay in coping with fires can cause in loss of human life or materials. Most of the fire
cases occurred in residential houses. A house is an object that is vulnerable to fire because
of its kind of activities. Human safety is an essential factor that must be taken into account
and prioritized in a house fire. Therefore residents of houses affected by disasters must
receive information in the form of early warnings when a fire happens so that the human
can be evacuated independently [
2
]. Information about the fire location is necessary to
provide information to the fire department for easier access to the fire location and prevent
more significant losses [3].
Knowledge 2021,1, 61–74. https://doi.org/10.3390/knowledge1010007 https://www.mdpi.com/journal/knowledge
Knowledge 2021,162
The increasing number of residential houses, where houses are close to each other, will
be more challenging to handle in a fire tragedy. A fire that occurs in a house will quickly
spread to all elements of the house. House owners will identify the fire when it starts to
spread, so there will be less time to rescue the human or house materials. The antecedent of
the fire comes from various factors such as electric short circuits and others. For this reason,
it is necessary to carry out handling efforts that can provide more information to house
owners and firefighters so worthy action could be taken immediately as not to impact more
significant losses.
Many types of research on fire detection systems using IoT have been carried
out [47]
.
In 2017, “Research on the Design of an IoT-Based Fire Detection System and an SMS
Gateway Using Arduino”, which was applied to prevent forest fires, has been researched
by the authors of [
8
], and the results of this research aid officers in identifying the real-time
conditions that occur in the forest.
“Simulation of a Room Pollution Detection System Using Smoke Sensors With Noti-
fications Via SMS (Short Message Service) and Arduino-Based Alarms” has further been
carried out by the authors of [
9
] using a SIM900 modem. It is intended to send and receive
SMS communications to users in a report on detection results using the AT-Command
protocol by the GSM network [
10
]. In 2018, research on “LPG Tube Leak Detection Through
an SMS Gateway Using an Arduino Uno-Based MQ2 Sensor” was implemented [11], and
the research outcomes are that the MQ2 sensor is connected to an Arduino board to mon-
itor LPG gas and cigarette smoke. However, gas detection is not based on the distance
of identified gasses but the level of gas content. The thicker the gas, the faster it will be
identified. The use of sensors to interpret temperature and humidity has been investigated
in [
12
,
13
] with a prototype model, although their research did not reveal how information
messages are processed and sent using short messages. Therefore, this study will compose
a system using an Arduino microcontroller, an open-source electronic board. Arduino
consists of the main components, particularly the ATMega 328 microcontroller. This board
works according to the program flow that is uploaded to the board. This design also uses
the MQ2 sensor, which is used to identify smoke, gas, and other things. The DS18B20
sensor is also used to measure the temperature in a room. The short message-based fire
detector uses another device in the form of a GSM shield module. This device will be used
as a device installed in the house and assists in sending messages that house owners and
firefighters will receive to carry out an early evacuation immediately.
2. Methodology
2.1. System Analysis
System analysis is a representation of the current system that aims to find out how the
system works. It can also define and evaluate obstacles, opportunities, problems, or needs
to be expected to propose improvements [14,15].
2.1.1. Running System Analysis
The current fire management system still uses conventional methods with assistance,
where information related to fires is obtained based on field observations. The following
are the steps in the fire handling process that are currently being carried out:
1.
The first step for the community or building owner is to detect a fire by looking at the
smoke and flames coming from the building.
2.
The second step is the building owner/local community looking for contact informa-
tion/phone number for firefighters.
3.
The second step is the building owner/community contacting the firefighters by tele-
phone to ask for help (phone calls will continue until the firefighters are successfully
contacted).
4.
The fire brigade responds to the community/fire victims. The current fire fighting
process does not involve an early detection of fires so that actions are taken based on
reports that a fire has occurred. Thus, it has been confirmed that a serious fire has
Knowledge 2021,163
occurred and property damage has occurred, and there may even be fatalities before
the officers respond to fire information. Thus, it is necessary to involve a mechanism
to be able to provide early warning information about a fire.
2.1.2. Proposed System Analysis
System analysis conveys the solution of an obstacle that happens in the running
system [16,17].
In the analysis of the proposed system as shown in Figure 1, the fire detection and
handling process are divided into 4 (four) stages which are all automated using a micro-
controller based on Arduino Uno. The following is an explanation of the proposed system
flowchart, as follows:
1.
In the first stage, the tool detects the presence or absence of a potential fire by measur-
ing the temperature in the room using a temperature sensor.
2.
In the second stage, if the room temperature is detected above >45
C, the system will
activate the siren/alarm indicating a potential fire as well as sending a text message
containing information on potential fires and also the coordinates for the detection of
potential fires via the GSM module to the homeowner and also the fire department’s
office whose calling number has been registered on the device.
3. The next step is if the detected room temperature is not more than 45 C, the system
will detect the potential for an explosion/or fire by measuring the level of LPG gas in
the room using an LPG gas sensor.
4.
The next step is if it is detected that LPG gas spreading in the room is at 220 ppm, the
system will activate the siren/alarm per sign of a potential explosion as well as send
a text message containing information on the potential for an explosion to occur to
the homeowner via the GSM module.
2.1.3. Requirement Analysis
There are two systems requirements analyses: the analysis of functional requirements
and the analysis of non-functional requirements.
Functional Requirements:
Analysis of functional requirements is stages or processes which will be provided by
the system overall. The stages are as follows:
A short message will be sent automatically if the system has recognized a potential
fire.
The system will send a short message to the house owner and the fire department
containing the house fire location.
Non-Functional Requirements:
Non-functional requirements are used in the form of hardware and software require-
ments, as shown in Table 1. The hardware and software specified in the following table are
required to design this system:
Table 1. Non-functional requirements.
No Requirements Information
1 Hardware Intel Core i3-7020U Processor, 2.3 GHz
1 TB Hard Drive
RAM 4 GB
1366 ×768 pixel HD Resolution Monitor Screen
Keyboard and Mouse
2 Software Windows 10 Operating System
Arduino IDE
Edraw Max 7.9
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3. The second step is the building owner/community contacting the firefighters by tele-
phone to ask for help (phone calls will continue until the firefighters are successfully
contacted).
4. The fire brigade responds to the community/fire victims. The current fire fighting pro-
cess does not involve an early detection of fires so that actions are taken based on
reports that a fire has occurred. Thus, it has been confirmed that a serious fire has
occurred and property damage has occurred, and there may even be fatalities before
the officers respond to fire information. Thus, it is necessary to involve a mechanism
to be able to provide early warning information about a fire.
2.1.2. Proposed System Analysis
System analysis conveys the solution of an obstacle that happens in the running sys-
tem [16,17].
Figure 1. The proposed system.
In the analysis of the proposed system as shown in Figure 1, the fire detection and
handling process are divided into 4 (four) stages which are all automated using a micro-
controller based on Arduino Uno. The following is an explanation of the proposed system
flowchart, as follows:
Figure 1. The proposed system.
2.2. Software Design
The software for the system design to be built is a context diagram (a description of
the system designed), called DFD (Data Flow Diagram) level 0 [
18
]. The context diagram
shown in Figure 2is a general explanation of the entities involved. The entities in this
system are the admin, community, and firefighters. The admin will input the data required
to design this system and receive the information contained in the system. The citizens will
receive notifications of gas leaks. Notification of house fires will be sent by text message
and alarm if there is a fire. The fire brigade will receive information on the occurrence of
fires and confirm fires in people’s houses.
DFD (Data Flow Diagram) level 0 on the home fire detection system built is shown in
Figure 3. In this perspective, there are three processes, 1.0—process, 2.0—tool checking, and
3.0—confirmation. The admin aims to input the data needed for the system configuration
to be built and collected on the Arduino system. After the data is stored on the Arduino
system, people only need to check the tools installed at their houses. The citizens will
receive notification of gas leaks and potential fires that occur. The last process is when a
house fire happens, the Arduino system will send information in the form of an SMS to the
fire department, and then it will be confirmed that the fire incident occurred.
Knowledge 2021,165
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and 3.0confirmation. The admin aims to input the data needed for the system configu-
ration to be built and collected on the Arduino system. After the data is stored on the
Arduino system, people only need to check the tools installed at their houses. The citizens
will receive notification of gas leaks and potential fires that occur. The last process is when
a house fire happens, the Arduino system will send information in the form of an SMS to
the fire department, and then it will be confirmed that the fire incident occurred.
Figure 2. Context diagram.
Public Firefighter
Activate the tool
House fire confirmation
House fire
Information
Gas leak notification
House fire notification
Alarm notification
Arduino-based
home fire detection
system design and
SMS gateway
Admin
Temperature degree input
Gas leak input
Public data
Gas leak notification
Temperature degree input
Public information
Figure 2. Context diagram.
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Figure 3. Schematic data flow diagram.
3. Results and Discussion
The results of the research that has been done will be discussed clearly. Two subjects
that will be explained are system implementation and system testing that has been done.
System Implementation
From the results of this research, there are three steps to designing a home fire detec-
tion system: the research concept, design of the device, and scheme of the program flow
of the home fire detection system. Further explanation will be explained as follows:
1. Research concept
Research on the fire detection system that has been carried out uses two sensors for
detection, the first is the DS18B20 sensor (temperature sensor), and the second is the MQ2
sensor (gas sensor). These two sensors are media to provide input to the Arduino micro-
controller. The results that are inputted from the two sensors provide information to Ar-
duino at the location. In the event of an unnatural condition (increased temperature and
gas detected), Arduino will process the data to produce an output in the form of an alarm
sound and provide information to homeowners and firefighters via short messages sent
via the GSM module. This mechanism is a faster solution to find out the potential for a
fire to occur in a building/house. This home fire detection system identifies the potential
for a house fire, where the detection is carried out when receiving input from the DS18B20
temperature sensor and MQ2 sensor, then the data will be processed on the Arduino. If
the heat exceeds the standard room temperature limit that has been determined, Arduino
will instruct the GSM module to send a short message to the homeowner and the fire
department regarding the potential that can cause a fire. This makes it easier for firefight-
ers and homeowners to carry out rescues, thereby reducing the potential for greater cas-
ualties.
Arduino system
Gas Leak Information
1.0
Process
Admin
Gas Leak notification
House fire notification
Alarm notification
Input
Input
2.0
Check
Tool
Public
Activate tool
Activate tool
3.0
Confirmation
Firefighter
Verify the owner’s
cellphone number
Verify
Home fire confirmation
Figure 3. Schematic data flow diagram.
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3. Results and Discussion
The results of the research that has been done will be discussed clearly. Two subjects
that will be explained are system implementation and system testing that has been done.
System Implementation
From the results of this research, there are three steps to designing a home fire detection
system: the research concept, design of the device, and scheme of the program flow of the
home fire detection system. Further explanation will be explained as follows:
1. Research concept
Research on the fire detection system that has been carried out uses two sensors
for detection, the first is the DS18B20 sensor (temperature sensor), and the second is the
MQ2 sensor (gas sensor). These two sensors are media to provide input to the Arduino
microcontroller. The results that are inputted from the two sensors provide information
to Arduino at the location. In the event of an unnatural condition (increased temperature
and gas detected), Arduino will process the data to produce an output in the form of an
alarm sound and provide information to homeowners and firefighters via short messages
sent via the GSM module. This mechanism is a faster solution to find out the potential for
a fire to occur in a building/house. This home fire detection system identifies the potential
for a house fire, where the detection is carried out when receiving input from the DS18B20
temperature sensor and MQ2 sensor, then the data will be processed on the Arduino. If
the heat exceeds the standard room temperature limit that has been determined, Arduino
will instruct the GSM module to send a short message to the homeowner and the fire
department regarding the potential that can cause a fire. This makes it easier for firefighters
and homeowners to carry out rescues, thereby reducing the potential for greater casualties.
2. Device design used
The device used for the prototype of the Arduino-based home fire detection system
and SMS gateway consists of the Arduino Uno microcontroller board, temperature sensor,
gas sensor, buzzer, GSM module, power adapter, and power supply (battery). The following
is a specification of each tool used:
Arduino Uno R3 Atmega328p
Sensor DS18B20
Sensor MQ2
GSM module Sim900
Active buzzer 5 V–12 V
Adapter 12 V–1 A
Alkaline Battery 9 V
3. Tool design
Figure 4is a photo of a series of fire detectors that will be used to detect fires.
The following is an explanation of the function of each device used:
Arduino UNO R3: The function of Arduino UNO R3 itself is as the control and
decision-making center of the fire detection system. The operation of the system is
made from a program and then uploaded to the Arduino Uno R3 to be done so that the
connected input and output devices can operate according to the previously uploaded
program.
DS18B20 sensor: The function of the DS18B20 sensor is to identify the room temper-
ature in the home fire detection system. After detecting an increase in temperature
above >45
C in the room, the data becomes the input for Arduino Uno R3 and further
action will be taken for the next process.
MQ2 sensor: The function of the MQ2 sensor is to identify gas levels in the room.
Detection of this sensor will be input for Arduino Uno R3 and further action will be
taken for the next process.
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GSM module: The GSM function used in the design of this system is to send informa-
tion in the form of a short message ordered by Arduino Uno R3 when Arduino gets
input from both sensors, namely the MQ2 sensor and the DS18B20 sensor.
Buzzer: Serves as a warning so that homeowners can hear or be aware of the condition
of the house.
Adapter 12 V–1 A: Serves to convert AC voltage to mid-DC, which provides power so
that the Arduino Uno R3 and GSM modules can work properly.
9 V battery: Serves to supply and provide electricity to the Arduino system and GSM
module when the adapter does not work.
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In this step, the system will initialize the buzzer on the Arduino device, which will
be applied for home fire detection and SMS gateway that functions as an alarm in the case
of a fire.
Stage 5: Room temperature identification
The fifth step is the DS18B20 sensor interpreting process when the detection system
is on.
Figure 4. Home fire detector circuit.
GSM module
LPG Gas sensors
Temperature
sensors
Power supply
Sms
g
etwa
y
GSM module
Arduino uno board
Figure 4. Home fire detector circuit.
1. Program flow design
The program flow plan that has been performed on the design of a home fire detection
system and the SMS gateway is more detailed, as follows:
Stage 1: Microcontroller initialization
The first stage is the step when the home fire detection system and SMS gateway are
operated. In this stage, when the Arduino system is ON, it will proceed to the next stage.
Stage 2: Initialization of DS18B20 and MQ2 sensors
In this step, a prototype of a home fire detection system and an SMS gateway will
discover room temperature and LPG gas in a room initialized on an Arduino device. Both
of these devices will be available and set for the next stage.
Stage 3: GSM module initialization
In the third stage, the system will initialize the GSM module on the Arduino device,
which transfers short messages.
Stage 4: Buzzer initialization
In this step, the system will initialize the buzzer on the Arduino device, which will be
applied for home fire detection and SMS gateway that functions as an alarm in the case of
a fire.
Stage 5: Room temperature identification
The fifth step is the DS18B20 sensor interpreting process when the detection system is on.
Knowledge 2021,168
Testing the process of identifying fire early warnings through the temperature sensor
DS18B20, as shown in Figure 5is performed as follows:
The initial stage is the presence of a fire source in a box that has been fitted with a heat
detection sensor as shown in the photo in the chart above. The fire was lit for a while
until the temperature in the room increased. The temperature sensor then detects
an increase in room temperature, the temperature sensor will tolerate an increase in
temperature up to 45
C, if the temperature has exceeded that value (>45
C), then the
temperature sensor will send that value to the Arduino microcontroller board which
then responds to the input by doing two actions at once.
The first action is the buzzer activation command. The buzzer will sound an alarm
signaling a potential fire in the room.
The second action is an order to send a short message through the GSM model with
the SMS gateway method to homeowners and fire officers, which contains messages
in the form of information on potential fires and the coordinates of the potential fire
points.
The system will again take temperature measurements and will not give orders to turn
on the buzzer and send short messages if the detected temperature has not exceeded
the value of 45 C.
Knowledge 2021, 1, FOR PEER REVIEW 9 of 16
Figure 5. Room temperature reading.
Testing the process of identifying fire early warnings through the temperature sensor
DS18B20, as shown in Figure 5 is performed as follows:
The initial stage is the presence of a fire source in a box that has been fitted with a
heat detection sensor as shown in the photo in the chart above. The fire was lit for a
while until the temperature in the room increased. The temperature sensor then de-
tects an increase in room temperature, the temperature sensor will tolerate an in-
crease in temperature up to 45 °C, if the temperature has exceeded that value (>45
°C), then the temperature sensor will send that value to the Arduino microcontroller
board which then responds to the input by doing two actions at once.
The first action is the buzzer activation command. The buzzer will sound an alarm
signaling a potential fire in the room.
The second action is an order to send a short message through the GSM model with
the SMS gateway method to homeowners and fire officers, which contains messages
in the form of information on potential fires and the coordinates of the potential fire
points.
The system will again take temperature measurements and will not give orders to
turn on the buzzer and send short messages if the detected temperature has not ex-
ceeded the value of 45 °C.
Figure 5. Room temperature reading.
Knowledge 2021,169
Testing the process of identifying fire early warnings through the temperature sensor
DS18B20, as shown in Figure 6is performed as follows:
The initial stage is the presence of a gas source (LPG) in a box that has been fitted with
a heat detection sensor as shown in the photo above. The gas valve is opened for a
while until the gas fills the space/box. The gas sensor then detects an increase in the
volume of gas in the room/box, the gas sensor will tolerate an increase in gas volume
up to 220 ppm, if the gas volume has exceeded this value (>220 ppm), then the gas
sensor will send the value to the Arduino microcontroller board which then responds
to the input by performing two actions at once.
The first action is the buzzer activation command. The buzzer will sound an alarm
signaling a potential fire in the room.
The second action is an order to send a short message through the GSM model with
the SMS gateway method to the homeowner, which contains a message in the form of
information on potential explosions/fires due to gas leaks.
The system will again measure the gas volume and will not give the order to turn on
the buzzer and send a short message if the detected gas volume has not exceeded the
220 ppm value.
Knowledge 2021, 1, FOR PEER REVIEW 10 of 16
Figure 6. LPG gas identification.
Testing the process of identifying fire early warnings through the temperature sensor
DS18B20, as shown in Figure 6 is performed as follows:
The initial stage is the presence of a gas source (LPG) in a box that has been fitted
with a heat detection sensor as shown in the photo above. The gas valve is opened
for a while until the gas fills the space/box. The gas sensor then detects an increase in
the volume of gas in the room/box, the gas sensor will tolerate an increase in gas
volume up to 220 ppm, if the gas volume has exceeded this value (>220 ppm), then
the gas sensor will send the value to the Arduino microcontroller board which then
responds to the input by performing two actions at once.
The first action is the buzzer activation command. The buzzer will sound an alarm
signaling a potential fire in the room.
The second action is an order to send a short message through the GSM model with
the SMS gateway method to the homeowner, which contains a message in the form
of information on potential explosions/fires due to gas leaks.
Figure 6. LPG gas identification.
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2. Sensor calibration test
Sensor calibration is the process of checking and adjusting the accuracy of the mea-
suring instrument needed to ensure that the measurement results are carried out and are
consistent with other tools. The calibration process is carried out to test for gas leaks using
3 (three) test scenarios based on the room/box comparison scale used to test the system.
The first scenario testing is on a scale of 1 to 75
MQ2 sensor calibration is sensor calibration with a gas lighter tool. This test was
carried out with a room size of 4 cm wide, 4 cm long, and 5.3 cm high with a scale ratio of 1
to 75 from the original size. Tests at this scale will send a short message warning at a gas
level of 270 ppm, which refers to the gas volume scheme in Table 2. When checking the
DS18B20 sensor with a scale of 1 to 75, the system will immediately send an SMS because
the standard room temperature ranges from 30.12 to 31.56 degrees, as shown in Figure 7.
Knowledge 2021, 1, FOR PEER REVIEW 11 of 16
The system will again measure the gas volume and will not give the order to turn on
the buzzer and send a short message if the detected gas volume has not exceeded the
220 ppm value.
2. Sensor calibration test
Sensor calibration is the process of checking and adjusting the accuracy of the meas-
uring instrument needed to ensure that the measurement results are carried out and are
consistent with other tools. The calibration process is carried out to test for gas leaks using
3 (three) test scenarios based on the room/box comparison scale used to test the system.
The first scenario testing is on a scale of 1 to 75
MQ2 sensor calibration is sensor calibration with a gas lighter tool. This test was car-
ried out with a room size of 4 cm wide, 4 cm long, and 5.3 cm high with a scale ratio of 1
to 75 from the original size. Tests at this scale will send a short message warning at a gas
level of 270 ppm, which refers to the gas volume scheme in Table 2. When checking the
DS18B20 sensor with a scale of 1 to 75, the system will immediately send an SMS because
the standard room temperature ranges from 30.12 to 31.56 degrees, as shown in Figure 7.
Figure 7. Sensor testing with a scale of 1:75.
Testing the second scenario with a scale of 1 to 50
This test is carried out with a room size of 6 cm wide, 6 cm long, and 8 cm high with
a scale ratio of 1 to 50 from the original size, as shown in Figure 8. In this test, the system
will send a short warning message at a gas level of 400 ppm, which refers to the gas vol-
ume scheme in Table 3. When checking the DS18B20 sensor with a scale of 1 to 50, the
system will immediately send a short message because the standard room temperature
ranges from 30.12 to 31.56 degrees.
Figure 7. Sensor testing with a scale of 1:75.
Testing the second scenario with a scale of 1 to 50
This test is carried out with a room size of 6 cm wide, 6 cm long, and 8 cm high with a
scale ratio of 1 to 50 from the original size, as shown in Figure 8. In this test, the system will
send a short warning message at a gas level of 400 ppm, which refers to the gas volume
scheme in Table 3. When checking the DS18B20 sensor with a scale of 1 to 50, the system
will immediately send a short message because the standard room temperature ranges
from 30.12 to 31.56 degrees.
Testing the third scenario with a scale of 1 to 25
In testing the DS18B20 sensor, the scale used is 1 to 25. The standard room temper-
ature to be tested is 45 degrees. When the temperature reaches 45 degrees, the system
immediately sends a short message to the homeowner and the fire department. MQ2
sensor calibration is sensor calibration with a gas lighter tool. This test was carried out
with a room size of 12 cm wide, 12 cm long, and 16 cm high with a scale ratio of 1 to 25
from the original size, as shown in Figure 9. Tests at this scale will send a short message
warning at a gas level of 800 ppm, which refers to the gas volume scheme in Table 4.
Knowledge 2021,171
Knowledge 2021, 1, FOR PEER REVIEW 12 of 16
Figure 8. Sensor testing with a scale of 1:50.
Testing the third scenario with a scale of 1 to 25
In testing the DS18B20 sensor, the scale used is 1 to 25. The standard room tempera-
ture to be tested is 45 degrees. When the temperature reaches 45 degrees, the system im-
mediately sends a short message to the homeowner and the fire department. MQ2 sensor
calibration is sensor calibration with a gas lighter tool. This test was carried out with a
room size of 12 cm wide, 12 cm long, and 16 cm high with a scale ratio of 1 to 25 from the
original size, as shown in Figure 9. Tests at this scale will send a short message warning
at a gas level of 800 ppm, which refers to the gas volume scheme in Table 4.
Figure 9. Sensor testing with a scale of 1:25.
Table 2. Sensor calibration with a 1:75 ratio from the actual room.
No LPG Gas Level Condition Information
1 0–150 PPM Safe
Standard gas levels in a room, no fire has oc-
curred.
2 151–200 PPM Emergency
This condition can burn the room if the gas
meets the existing fire source.
Figure 8. Sensor testing with a scale of 1:50.
Knowledge 2021, 1, FOR PEER REVIEW 12 of 16
Figure 8. Sensor testing with a scale of 1:50.
Testing the third scenario with a scale of 1 to 25
In testing the DS18B20 sensor, the scale used is 1 to 25. The standard room tempera-
ture to be tested is 45 degrees. When the temperature reaches 45 degrees, the system im-
mediately sends a short message to the homeowner and the fire department. MQ2 sensor
calibration is sensor calibration with a gas lighter tool. This test was carried out with a
room size of 12 cm wide, 12 cm long, and 16 cm high with a scale ratio of 1 to 25 from the
original size, as shown in Figure 9. Tests at this scale will send a short message warning
at a gas level of 800 ppm, which refers to the gas volume scheme in Table 4.
Figure 9. Sensor testing with a scale of 1:25.
Table 2. Sensor calibration with a 1:75 ratio from the actual room.
No LPG Gas Level Condition Information
1 0–150 PPM Safe
Standard gas levels in a room, no fire has oc-
curred.
2 151–200 PPM Emergency
This condition can burn the room if the gas
meets the existing fire source.
Figure 9. Sensor testing with a scale of 1:25.
Table 2. Sensor calibration with a 1:75 ratio from the actual room.
No LPG Gas Level Condition Information
1 0–150 ppm Safe Standard gas levels in a room, no fire has occurred.
2 151–200 ppm Emergency This condition can burn the room if the gas meets the existing fire source.
3201–300 ppm or over
300 ppm Watch out This condition is possible when the gas finds the source of the fire, a fire
will occur and an explosion may happen.
Table 3. Sensor calibration with a 1:50 ratio from the actual room.
No LPG Gas Level Condition Information
1 0–150 ppm Safe Standard gas levels in a room, no fire has occurred.
2 151–250 ppm Emergency This condition can burn the room if the gas meets the existing fire source.
3251–400 ppm or over
400 ppm Watch out This condition is possible when the gas finds the source of the fire, a fire
will occur and an explosion may happen.
Knowledge 2021,172
Table 4. Sensor calibration with a 1:25 ratio from the actual room.
No LPG Gas Level Condition Information
1 0–200 ppm Safe Standard gas levels in a room, no fire has occurred.
2 201–400 ppm Emergency This condition can burn the room if the gas meets the existing fire source.
3400–800 ppm or over
800 ppm Watch out This condition is possible when the gas finds the source of the fire, a fire
will occur, and an explosion may happen.
3. Black box test
Black box testing is a method used to test the functionality of a system based on
its functional requirements in order to find out whether a device or system is working
properly based on pre-defined requirements, without having to know the internal structure
of the code or program on the system being created.
In accordance with the calibration tests carried out above, it was explained that the
system calibration testing was running as desired.
-
MQ2 sensor interpretation went well, and output worked as planned. The system
sends a short message to the homeowner.
-
In the DS18B20 reading test, the sensor can read and measure the condition of the
room at the time of measurement in a standard temperature room and a hot room
(>45
C). The measurements taken have sent a short message to homeowners and
firefighters.
-
The buzzer can work according to the instructions given, which is to sound an alarm
when the room temperature reaches the maximum limit.
4. System test
This stage is testing the systems and tools that have been calibrated in the actual
environment with the sizes as we have previously stated, namely based on the general
size of the rooms in our area, both rooms and kitchens. The test scenario includes two
parts, namely temperature detection and LPG gas detection. The following is a detailed
test scenario:
1. Test scenario Room temperature level with a threshold of 45 C
- Test duration 60 min
- Room size = W: 3.5 m ×H: 2.5 sqm
- Heat introduction: Maspion MV-250 NEX exhaust fan
In room temperature testing, we used the Maspion MV-250 NEX exhaust fan as a heat
supply device into the room where the heat source came from the gas stove flame.
2. Test scenarios LPG gas level with a threshold of 151 ppm
- Test duration 30 min
- Room temperature level (threshold >45 C)
- Room size = W: 3.5 m ×H: 2.5 sqm
- Gas source, 12 kg LPG cylinder
- SNI standard regulator gas valve (Indonesian national standard)
- JL-269-C. gas detector gauge
We use the JL-269-C gas pressure gauge to monitor the actual movement of gas
pressure because the MQ sensor we use can only work at the lowest gas pressure of
220 ppm.
Figure 10 is a test graph of the performance of the tool in the actual environment based
on the above scenario.
Knowledge 2021,173
Knowledge 2021, 1, FOR PEER REVIEW 14 of 16
In room temperature testing, we used the Maspion MV-250 NEX exhaust fan as a
heat supply device into the room where the heat source came from the gas stove flame.
2. Test scenarios LPG gas level with a threshold of 151 ppm
- Test duration 30 min
- Room temperature level (threshold >45 °C)
- Room size = W: 3.5 m × H: 2.5 sqm
- Gas source, 12 kg LPG cylinder
- SNI standard regulator gas valve (Indonesian national standard)
- JL-269-C. gas detector gauge
We use the JL-269-C gas pressure gauge to monitor the actual movement of gas pres-
sure because the MQ sensor we use can only work at the lowest gas pressure of 220 ppm.
Figure 10 is a test graph of the performance of the tool in the actual environment
based on the above scenario.
Figure 10. Testing at room temperature to the heat limit >45 °C.
Figure 11 shows the temperature moved slowly towards the threshold >45 °C, then
the system responds by activating an alarm when the temperature is above the threshold.
Figure 11. Testing on the LPG gas pressure level to the threshold value of 220 ppm.
Based on the tests carried out in a more realistic environment, it can be concluded
that the readings of the temperature detection sensor and the LPG gas detection sensor
can work according to predetermined requirements, where the device successfully sends
a short message and sounds an alarm. The testing time for detecting room temperature is
31 31 32 33 35 37 40 43 45 47 49 50 51
0
10
20
30
40
50
60
treshold temp level
50 70 90
120
145 160 180 200 220 235 250 270 290
0
50
100
150
200
250
300
350
treshold gas volume level
Figure 10. Testing at room temperature to the heat limit >45 C.
Figure 11 shows the temperature moved slowly towards the threshold >45
C, then
the system responds by activating an alarm when the temperature is above the threshold.
Knowledge 2021, 1, FOR PEER REVIEW 14 of 16
In room temperature testing, we used the Maspion MV-250 NEX exhaust fan as a
heat supply device into the room where the heat source came from the gas stove flame.
2. Test scenarios LPG gas level with a threshold of 151 ppm
- Test duration 30 min
- Room temperature level (threshold >45 °C)
- Room size = W: 3.5 m × H: 2.5 sqm
- Gas source, 12 kg LPG cylinder
- SNI standard regulator gas valve (Indonesian national standard)
- JL-269-C. gas detector gauge
We use the JL-269-C gas pressure gauge to monitor the actual movement of gas pres-
sure because the MQ sensor we use can only work at the lowest gas pressure of 220 ppm.
Figure 10 is a test graph of the performance of the tool in the actual environment
based on the above scenario.
Figure 10. Testing at room temperature to the heat limit >45 °C.
Figure 11 shows the temperature moved slowly towards the threshold >45 °C, then
the system responds by activating an alarm when the temperature is above the threshold.
Figure 11. Testing on the LPG gas pressure level to the threshold value of 220 ppm.
Based on the tests carried out in a more realistic environment, it can be concluded
that the readings of the temperature detection sensor and the LPG gas detection sensor
can work according to predetermined requirements, where the device successfully sends
a short message and sounds an alarm. The testing time for detecting room temperature is
31 31 32 33 35 37 40 43 45 47 49 50 51
0
10
20
30
40
50
60
treshold temp level
50 70 90
120
145 160 180 200 220 235 250 270 290
0
50
100
150
200
250
300
350
treshold gas volume level
Figure 11. Testing on the LPG gas pressure level to the threshold value of 220 ppm.
Based on the tests carried out in a more realistic environment, it can be concluded
that the readings of the temperature detection sensor and the LPG gas detection sensor
can work according to predetermined requirements, where the device successfully sends a
short message and sounds an alarm. The testing time for detecting room temperature is
longer, which is 60 min, while for gas detection testing, it is only 30 min because the time
we need to heat the room is longer than the time to release gas into the room.
4. Conclusions
Based on the tests and outputs that have been carried out, it can be concluded that
the design of an Arduino-based home fire detection system and SMS gateway can provide
information on fires that occur quickly to homeowners and rescue fires to reduce losses and
minimize possible fatalities. When tested in the actual environment, it runs as desired, with
ten successful attempts to send SMS and sound the alarm. Thus, if the test is carried out in
something similar to our test environment, then the system is expected to run according to
what has been determined.
Knowledge 2021,174
Author Contributions:
Conceptualization, S.S., I.H.W., T.I. and R.R.; methodology, S.S., I.H.W., T.I.,
M.M. and S.S.; software, T.I., S.S. and R.R.; validation, R.R. and S.S.; formal analysis, T.I., H.H., M.M.
and R.R.; investigation, S.S. and R.R.; resources, S.S., I.H.W., H.H., M.M. and R.R; data curation, H.H.,
S.S. and R.R.; writing—original draft preparation, H.H., M.M., R.R. and W.C.; writing—review and
editing, I.H.W., H.H., W.C., S.L. and A.G.; supervision, W.C.; funding acquisition, H.H., S.L. and A.G.
All authors have read and agreed to the published version of the manuscript.
Funding: The APC was funded by Professor Adam Glowacz.
Acknowledgments:
The author’s gratitude goes to Ikhlasul Amal, a final-year student of Informatics
Engineering, Universitas Musamus, Merauke, Indonesia, who has helped prepare this research.
Conflicts of Interest: The authors declare no conflict of interest.
References
1.
BNPB. Defenisi Bencana. bnpb.go.id. 2021. Available online: https://bnpb.go.id/definisi-bencana (accessed on 25 May 2021).
(In Bahasa)
2.
Kodur, V.; Kumar, P.; Rafi, M.M. Fire hazard in buildings: Review, assessment and strategies for improving fire safety. PSU Res.
Rev. 2019,4, 1–23. [CrossRef]
3.
Ding, L.; Khan, F.; Ji, J. Risk-based safety measure allocation to prevent and mitigate storage fire hazards. Process. Saf. Environ.
Prot. 2020,135, 282–293. [CrossRef]
4. Zandamela, A.A. An Approach to Smart Home Security System Using Ardunio. Electr. Eng. Int. J. 2017,4, 1–18. [CrossRef]
5.
Saeed, F.; Paul, A.; Rehman, A.; Hong, W.H.; Seo, H. IoT-Based Intelligent Modeling of Smart Home Environment for Fire
Prevention and Safety. J. Sens. Actuator Netw. 2018,7, 11. [CrossRef]
6.
Kamelia, L.; Ismail, N.; Firmansyah, A.A. Fire disaster early detection system in residential areas. J. Phys. Conf. Ser.
2019
,1402,
044001. [CrossRef]
7.
Hillary, R.; Rotich, P.; Geofrey, A.; Sam, A. Early Fire Detection System in Tanzania Markets. In Proceedings of 7th International
Electronic Conference on Sensors and Applications; MDPI: Basel, Switzerland, 2020; Volume 2, p. 50.
8.
Sasmoko, D.; Mahendra, A. Rancang bangun sistem pendeteksi kebakaran berbasis iot dan sms gateway menggunakan arduino.
Simetris J. Tek. Mesin, Elektro dan Ilmu Komput. 2017,8, 469. [CrossRef]
9.
Utomo, B.T.W.; Saputra, D.S. Saputra, Simulasi Sistem Pendeteksi Polusi Ruangan Menggunakan Sensor Asap Dengan Pemberi-
tahuan Melalui SMS (Short Message Service) Dan Alarm Berbasis Arduino. J. Ilm. Teknol. Inf. Asia 2016,10, 56–68.
10.
Nurnaningsih, D. Pendeteksi Kebocoran Tabung LPG Melalui SMS Gateway Menggunakan Sensor MQ-2 Berbasis Arduino Uno.
J. Tek. Inform. 2018,11, 121–126. [CrossRef]
11. Santosa, E.; Budiyanta, A.S. Rancang Bangun Sensor Suhu Tanah dan Kelembaban Udara. J. Sains Dirgant. 2009,7, 201–213.
12.
Suherman, S.; Andriyanto, I.; Dwiyatno, S. Rancang Bangun Alat Ukur Temperatur Suhu Perangkat Server Menggunakan Sensor
Lm35 Bebasis Sms Gateway. Prosisko 2015,2, 42–63.
13.
Christian, J.; Komar, N. Prototipe Sistem Pendeteksi Kebocoran Gas LPG Menggunakan Sensor Gas MQ2, Board Arduino
Duemilanove, Buzzer, dan Arduino GSM Shield pada PT. Alfa Retailindo (Carrefour Pasar Minggu). J. Ticom 2013,2, 58–64.
14.
Aep Nurul Hidayah. DEFINISI PERANCANGAN By Aep Nurul Hidayah. 2016. Available online: www.aepnurulhidayat.
wordpress.com (accessed on 23 September 2021).
15.
Irawan, S.P. Pelajari Tentang Sensor Suhu DS18B20 Dan Bagaimana Penyambungan Alat Tersebut Sebagai Input Pada Perangkat
Raspberry Pi Sebagai Sensor Suhu Sebuah Ruangan. kl801.ilearning.me, 2017. Available online: https://kl801.ilearning.me/2017
/02/26/pelajari-tentang-sensor-suhu-ds18b20-dan-bagaimana-penyambungan-alat-tersebut-sebagai-input-pada-perangkat-
raspberry-pi-sebagai-sensor-suhu-sebuah-ruangan/#:~:text=DS18B20adalahsensorsuhudigital,%2F-0.5$^\circ$C (accessed
on 24 February 2021).
16.
Badriah, S. Fungsi Handphone Di Kalangan Mahasiswa Fakultas Ilmu Sosial dan Ilmu Politik Universitas Airlangga. AntroUnair-
doNet 2017,VI, 462–472.
17.
Sumber Pengertian. Pengertian Flowchart Secara Umum dan Menurut Para Ahli Lengkap! Available online: www.
Sumberpengertian.id (accessed on 24 September 2021).
18.
Ridho Catur. Data Flow Diagram (DFD). 2014. Available online: www.mouridho.blogspot.com (accessed on 25 September 2021).
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Early Fire Detection System in Tanzania Markets
  • R Hillary
  • P Rotich
  • A Geofrey
  • A Sam
Hillary, R.; Rotich, P.; Geofrey, A.; Sam, A. Early Fire Detection System in Tanzania Markets. In Proceedings of 7th International Electronic Conference on Sensors and Applications; MDPI: Basel, Switzerland, 2020; Volume 2, p. 50.