IRJET - A Cyber-Physical System for Environmental Monitoring Based on IOT

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1936
A Cyber-Physical System for Environmental Monitoring based on IoT
A.Samundeeshwari M.E1, M.Surendarabalaji2, M.Suryaharan3, M.Tamilmani4
1Associate professor, Department of Electronics and Communication Engineering, Paavai Engineering College,
Namakkal, Tamil Nadu, India.
2UG Student, Department of Electronics and Communication Engineering, Paavai Engineering College,
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Abstract - In this project, we introduces the creation of a
cyber-physical system that controls environmental
circumstances or environmentalconditionsindistantplacesin
indoor areas. Communication between the parts of the system
is carried out using the existing wireless infrastructure based
on IEEE standards of 802.11 b / g. The resulting solution
provides the opportunity to log measurements from locations
around the world and to visualize and analyses the data
collected from any device connected to the Internet. Thiswork
includes the full solution, a cyber-physical system beginning
from the physical stage, composed of sensors and
communication protocol, and achieving cyber-level data
management and storage. The experimental findings indicate
that the suggested scheme for environmental and ambient
tracking apps is a feasible and simple solution.
Keywords: wireless infrastructure, sensors,
communication protocol
1. INTRODUCTION
The requirements for environment care are speedily rising
with the continuous growing of the world population.
Incredible success in electronic technology has been
observed with the rapid advancement of sensors, Arduino
and computers prompt development. Numerous
technological revolution designs are takenfortheadvantage
of electronic service improvement.Byusingsensorsthedata
are gathered. After gathering certain information the data
and status of each sensors are updated through IOT.
2. METHODOLOGY
This project uses sensors like wetness, Smoke detector,
Temperature sensor (LM35). Whenever unsafe gas is
detected then buzzer alert is given. The temperature
detector LM35 senses the temperature Associate in Nursing
converts it into an electrical (Analog) signal. The Analog
signal is reborn into digital format by the data converter
(ADC). Then the fan are going to be ON. The standing of each
detector can provide updates through the IOT. Light-weight
gets on whenever LDR sensesnightmode.Motoraregoingto
be on just in case of dry condition detected by wetness
detector.
3. BLOCK DIAGRAM
4. HARDWARE COMPONENTS
4.1 DHT11 sensor
DHT11 may be an affordable digital detector for sensing.
Temperature and humidness. This detector will be simply
interfaced withanymicro-controllerlikeArduino,Raspberry
Pi etc… to live humidness and temperature in a flash. The
temperature vary of DHT11 is from zero to fifty C with a 2-
degree accuracy. Humidness vary of this detector is from
twenty to eightieth with five-hitter accuracy. The rateofthis
detector is 1Hz .i.e. it offers one reading for each second.
DHT11 is little in size with in operationvoltagefromthree to
five volts. The most current used whereas mensuration is
two.5mA.
4.2 Carbon dioxide sensor
A carbonic acid gas device or CO2 device is Associate in
nursing instrument for the activity of carbonic acid gas. The

foremost common principles for CO2 sensors are infrared
gas sensors (NDIR) and chemical gas sensors.
Fig -1: Carbon dioxide sensor
Measurement carbonic acid gas is vital in watching indoor
air quality, the operate of the lungs within the style of a
capnograph device, and lots of industrial processes.
4.3 ESP8266 Wi-Fi Module
The ESP8266 Wi-Fi Module can be a self-containedSOCwith
integrated TCP/IP protocol stack that will offer any
microcontroller access to your Wi-Fi network. The ESP8266
is capable of either hosting Associate in nursing application
or offloading all Wi-Fi networking functions from another
application processor.
Fig -2: ESP8266 Wi-Fi Module
4.4LCD
The ARDUINO IDE permits the user to use LCD in four bit
mode. This kind of communication permits the user to
decrease the pin usage on ARDUINO, not like different the
ARDUINO needn't to be programmed on an individual basis
for mistreatment it in four it mode as a result of by default
the ARDUINO is about up to speak in four bit mode. Within
the circuit you'll be able to see we've used 4bit
communication (D4-D7).
4.5 power supply
The board may be provided with power either from the DC
power jack (7 - 12V), the USB connecter (5V), or the VIN pin
of the board (7-12V). Activity voltage via the 5V or three.3V
pins bypasses the regulator, and might injury your board.
4.6 LDR
Light Dependent resistance (LDR) or a photograph
resistance could also be a tool whose resistance could also
be a operate of the incident radiation. The working
principle of AN LDR is image natural phenomenon that
is nothing but a natural phenomenon. Once the sunshine is
absorbed by the material then the natural
phenomenon of thematerial reduces.Oncethesunshinefalls
on the LDR, then the electrons among the valence band
of the material unit desirous to the physical
phenomenon band.
Fig -3: Light Dependent resistance
4.7 ARDUINO
The ARDUINO IDE permits the user to use liquid crystal
display in four bit mode. this sort of communicationpermits
the user to decrease the pin usage on ARDUINO, not
like completely different the ARDUINO needn't to be
programmed on a private basis for practice itinfouritmode
as a results of by default the ARDUINO is concerning up to
talk in four bit mode. Among the circuit you will be ready
to see we've used 4bit communication (D4-D7).
Fig -4: ARDUINO BOARD
5. CONCLUSION
The design and implementation of large-scaleandlong-term
CO2 monitoring sensor network is discussed. A low-cost
sensor deployment strategy with guaranteed performance
which addresses the sensor deployment problems in the
existing models has been proposed. Hardware
implementation of this model has been done and the
parameters are periodically monitored with few sensors.

REFERENCES
[1] EdoardoBiagioni, Kent Bridges, (2002),“The
application of remote sensor technology to assist the
recovery of rare and endangeredspecies,Special Issue
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[2] J.Hao, J.Brady, B.Guenther, J.Burchett, M.Shankar,
S.Feller, (2006), “Human tracking with wireless
distributed pyroelectric sensors”, IEEE Sensors
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[3] Jong-Won Kwon, Yong-Man Park,Sang-JunKoo,Hiesik
Kim, (2007), “Design of air pollution monitoring
system using zigbee networks for ubiquitous-city”,
Proceedings of the International Conference on
Convergence Information Technology, Pages
10241031
[4] M.de Boer, (1998), “Facing the air pollution agenda for
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[6] V.Rajaravivarma, Y.Yang, T.Yang, (2003), “An overview
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Proceedings of 35th South Eastern Symposium on
System Theory.

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