IJRESM V5 I5 13 (1)

Abstract

Safety plays a major role into days world and it is necessary that good safety systems are to be implemented in places of industries, big manufacturing factories, education and work. This work modifies the existing safety model installed in industries and this system also be used in homes and office. The main objective of the work is designing microcontroller based toxic gas detecting and alerting system the hazardous gases like LPG and propane were sensed and displayed each and every second in the LCD display these gases exceed the normal level the nan alarm is generated immediately and also an alerting message (SMS) is send to the authorized person through GSM.

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International Journal of Research in Engineering, Science and Management
Volume 5, Issue 5, May 2022
https://www.ijresm.com | ISSN (Online): 2581-5792
*Corresponding author: tayyabnafees35@gmail.com
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Abstract: Safety plays a major role into days world and it is
necessary that good safety systems are to be implemented in places
of industries, big manufacturing factories, education and work.
This work modifies the existing safety model installed in industries
and this system also be used in homes and office. The main
objective of the work is designing microcontroller based toxic gas
detecting and alerting system the hazardous gases like LPG and
propane were sensed and displayed each and every second in the
LCD display these gases exceed the normal level the nan alarm is
generated immediately and also an alerting message (SMS) is send
to the authorized person through GSM.
Keywords: Remote sensing, Hazardous gas, Robot system.
1. Introduction
Robotics has become a staple of advanced producing for over
a century. As artificial intelligence and their major tools
become additional dependable, sturdy and reducible, such kind
of systems area unit developing additional and employed in the
war fields, enjoyment and observation functions. These
varieties of system area unit in the main management through
wireless technology and varied sensor's area unit accustomed
observe the harmful to the surroundings. Sensors like mq2,
mq3, mq6, temperature, humidity, daylight area unit the
parameters accustomed predict the harness of the gas or smoke
with the assistance of machine algorithms sort of provision
Regression and K- Nearest Neighbour (KNN). These kinds of
detection smoke referred to as gas detector, smell detector.
Robots’ area unit accustomed replace humans within the war
fields. E- Nose technology is employed to observe the harm-full
gases within the space} area, alert the admin of the military if
any suspicious things are going on within the war field. Also,
to capture all the photographs and video through camera.
2. Literature Survey
In the year of 2008, Liu Zhen-ya, Zhen-dong and bird genus
Rong, “Intelligent Residential Security Alarm and remote
System supported Single Chip Computer”, the paper focuses
on, Intelligent residential thief alarm, emergency alarm, fire
alarm, toxicant gas outpouring remote automatic sound alarm
and remote system, which is based on 89c51single chip pc. The
system will perform associate degree automatic alarm, that calls
the police hotline variety mechanically. It may also be a voice
alarm and shows alarm occurred address. This intelligent
security system may be used management the power remotely
through phone.
In the year of 2008, bird genus Peijiang and Jiang Xuehhua,
“Design and implementation of Remote watching System
supported GSM”, this paper focuses on the wireless watching
system, as a result of the wireless remote watching system has
additional and additional application, an overseas watching
system supported SMS through GSM. Supported the general
design of the system, the hardware and code design of the
system is meant. During this system, the remote signal is
transmitted through GSM network. The system includes 2
components that area unit the watching center and therefore the
remote watching station.
The watching centre consists of a pc and a TC35
communication module for GSM. The pc and therefore the
TC35 area unit connected by RS232. The remote watching
station comprises a TC35 communication module for GSM, a
MSP430F149 MCU, a show unit, sensors and DE tethering and
process unit. The code for the watching centre and the remote
watching station were designed victimization VB.
In the time of 2006, Ioan Lita, particle Bogdan Cioc and
Daniel Alexandru Visan, “a replacement Approach of
Automatic Localization System victimization GPS and GSM/
GPRS Transmission”, this paper focuses on, a coffee value
automotive localization system victimization GPS and GSM-
SMS services, that provides the position of the vehicle on the
motorist’s or proprietor’s mobile as a short communication
(SMS) on his request. The system area unit of connected with
the motor vehicle alarm that cautions the owner, on his mobile,
concerning the events that happens in conjunction with his
motor vehicle once it's located. The system consists by a GPS
receiver, a microcontroller and a GSM phone. In recent the
system area unit oft settled for deed and transmission the
information, whenever requested concerning machine standing
and cautions the attacker concerning the vehicle started
machine. The system area unit oft used as an occasional value
result for machine position localizing conjointly as in motor
vehicle shadowing system operation.
In the year of 2002, K. Galatsis, W. W. Lodarsla, K.
Kalantar- Zadeh and A. Trinchi, “Investigation of gas sensors
for vehicle cabin air quality monitoring”, this paper focuses on,
Hazardous Gas Detection Using Multi
Assistance Robot System
G. Manjula1, S. Manoj2, M. Chetan3, Taiyab Nafees4*, H. S. Pavan Kumar5
1Associate Professor, Department of Information Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bengaluru, India
2,3,4,5Student, Department of Information Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bengaluru, India

G. Manjula et al. International Journal of Research in Engineering, Science and Management, VOL. 5, NO. 5, MAY 2022
56
automotive cabin air quality watching may be effectively
analyse during metal chemical compound semi conductive
(MOS) gas sensors. During this paper, commercially accessible
gas sensors area unit compared with made-up Moo3 primarily
based sensors possessed comparable gas sensing properties.
The sensing element has response seventy-four higher relative
to the best business sensing element tested [21]. Within the year
2000, K. Galatsis, W. W oldarsla, Y.X. Li and K. Kalantar-
Zadeh, “A Vehicle air quality monitor victimization gas sensors
for improved safety”, this paper focuses on A vehicle cabin air
quality monitor victimization monoxide (CO) and element (02)
gas sensors has been designed, developed and on- road tested.
The continual watching of element and monoxide provides else
vehicle safety as alarms can be set out once dangerous gas
concentrations area unit reached, preventing driver fatigue,
drowsiness, and exhaust gas suicides. CO concentrations of
30ppm and element levels not up to nineteen.5% were skilled
while driving.
Diclehan Karakaya et al., [5] planned the “Electronic Nose”
for detection the venturesome gases and predicting the harness
of the venturesome gases. The planned system uses the varied
chemical sensors for detection the venturesome gases and
therefore the machine learning algorithms to predict the harness
of the venturesome gases. The author delineated that the
planned system may be used for variety of applications:
business or business production processes like producing
product, medical purpose and in cordial reception, analytical
chemistry and medical specialty industries. Electronic Nose
application may also be accustomed check the freshness and
matureness watching of fruit, for detection of explosives and
conjointly in varied transportation for people’s safety purpose
and non-public security purpose.
Diclehan Karakaya et al., [5] planned the “Electronic Nose”
for detection the venturesome gases, predicting the harmless of
the venturesome gases. The planned system uses the varied
chemical sensors for detection the venturesome gases and
therefore the machine learning algorithms to predict the harness
of the venturesome gases. The author delineated that the
planned system may be used for variety of applications:
business or business production processes like producing
product, medical purpose and in cordial reception, analytical
chemistry and medical specialty industries. Electronic Nose
application may also be accustomed check the freshness and
matureness watching of fruit, for detection of explosives and
conjointly in varied transportation for people's safety personal
security purpose.
3. Proposed Multi-Function Assistant Robot System
The projected Multi-Function Assistant golem system
consists of machine-controlled modules that accomplish the
subsequent functions:
• The module is developed for exchange human beings
in numerous dangerous areas. Also, these robots can
determine the bombs and numerous gases in the war
field.
Fig. 1. MFR system architecture
Fig. 2. Modules of MFR system
Logistic regression is one in every of the machine learning
formula and supervised learning classification formula
accustomed predict the harness of the gas initial it’ll categorize
the all the values then it’ll compare with the trained with time
period data.
K-Nearest Neighbours (KNN): In statistics, the k- nearest
neighbours’ formula could be a non-constant classification
model. It is used for classification and regression. In each case,
the input consists of the k nearest coaching examples in
information set. The KNN additionally known as a lazy
learner’s formula.
Feature selection:
The options that contribute additional to the prediction of the
output are designated from the given set of features
computationally victimisation feature extraction algorithms.
Numerous feature selection techniques or algorithms are there
which are utilized in the past. Feature selection can scale back
the quantity of options required for prediction.
4. Experimental Setup
This section offers the introduction about the setup that was
used for experimentation to run the project. Python language is
employed for implementation of algorithm and also the
projected system used Logistic Regression and KNN (K-
Nearest Neighbour) for prediction. Cube Suit++ is used for
development and integration of hardware. The result’s made
supported the information from the hardware and predict the
harness of the gas victimisation the supplying regression and
KNN algorithms.

G. Manjula et al. International Journal of Research in Engineering, Science and Management, VOL. 5, NO. 5, MAY 2022
57
5. Result and Discussion
This section discusses the performance of the developed
framework. The potent of developed model is evaluated below
supplying regression and KNN algorithms and also the results
are compared.
6. Conclusion
The gas detector and also the essential level of individual gas
ought to be identified and then this method is often enforced by
police work numerous gases either in domestic area like places
of education establishments, residential and industrial space
that avoid damaging of human lives. This method provides fast
response rate and also the diffusion are often created quicker
than the manual strategies.
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