IRJET- Environmental Analysis in IoT using Raspberry Pi

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 5149
Environmental Analysis in IOT using Raspberry Pi
A. Reddy Prasad1, C. Hemanth Kumar2, K. Gowthami3,C S. Sreekanth4,G. Gopikrishna4
1Assistant Professor of Computer Science and Engineering, Mother Theresa Institute of Engineering and
Technology, Palamaner, Andhra Pradesh, India
2,3,4,5UG Students, Department of Computer Science and Engineering, Mother Theresa Institute of Engineering and
Technology, Palamaner, Andhra Pradesh, India
-------------------------------------------------------------------------***------------------------------------------------------------------------
ABSTRACT - The system in this project is a solution for checking the weather conditionsat placeandmaketheinformation visible
anywhere in the world. The technology is used to do this project is Internet of Things (IOT). Now-a-days Internet of Things is in
trend, which is an advanced and efficient solution for connecting the devices to the internet and to connect the entire world of
devices in a network. Things like electronic gadgets, sensors and automotive electronic equipment are used. The system monitors
and controls the environmental conditions like temperature, relative humidity, light intensity and CO level withsensors andsends
the information to the web page. The data that is collected from the system can be accessed in the internet from many locations in
the world.
KEYWORDS: IoT, Raspberry Pi, Sensors, Smart Environment, Weather Parameters.
I. INTRODUCTION
IOT means Internet of Things. It provides internetworking of physical devices, buildings, vehicles and other components like
sensors and actuators. By giving network connectivity to systems embeddedwithelectronics,software,sensorsand actuators;
these objects are able to collect and exchange data. By using IoT objects to be sensed or controlled remotely through existing
network. It gives opportunity to connect physical world with computer-based systems. IoT improves efficiency, accuracy,
economic benefits along with reduced manpower. IoT frameworks help for the interactionbetween“things”.Alsosupportsfor
more complex structures like distributed computing and development of distributed applications. Now in these days most of
IoT frameworks seem to focus on real-time data logging solutions.
Many things affect the weather. And weather also have effect on most of living as well as non-livingthings.AtWeatherstation,
study of different environmental parameters using some instruments and equipment’s has been done. So, to meet the goal of
weather monitoring we have designedIoTbased real-time,low-cost,portableandhigh-speed weatherstationusingRaspberry-
Pi. At our weather station we are measuring some environmental parameters like temperature,humidity,lightintensity,gases
and pressure. GSM module along with ADC and microcontroller are used by many weather monitoring systems for
environmental parameters monitoring. ARM based Raspberry Pi board can handle many operations and same one is used in
this system. In this system there is no need of any external module, microcontroller and ADC. The proposed system uses IDLE
text editor where programs can be written in Python. Output data can be seen on thingspeak.com using respective protocol.
II. RELATED WORK
Existing system model mainly focuses on controlling and monitoring of different environmental activities. It uses sensor
networks to monitor physical and environmental conditions with thousands of applications in different fields. The sensor
nodes are placed at different locations to collect the data and to predict the behaviour of area.Butitrangesonlysomeextentof
area where the ZigBee protocol is used. It is the main drawback.
1) DISADVANTAGES:
• Manually Monitoring the application.
• Less Transmission and low speed data rate.
• It is extended up to 10-100 meters only.
III. PROPOSED SOLUTION:
Our proposed system makes use of 2 sensors and an LDR to measure the environmental factorssuchastemperature,humidity
and gases. The values read from the sensors are processsed by the raspberry Pi. The readings are also displayed on an LCD

for quick viewing. The sensors can be operated by the microcontroller to retrieve the data from them and it processes the
analysis to produce the graph sheets and updates it to the GSM and finally the message is sent to the concerned number.
ADVANTAGES:
• Improved safety and security
• High quality receiving data
• Less power consumption
• High speed data rate
IV. SYSTEM ARCHITETURE:
The implemented system consists of an operating system called Raspbian as a main processing unit fortheentiresystemand
all the sensor and devices can be connected with the Rasp-berry pi. The sensors used in this project are Temperature sensor,
humidity sensor, gas sensor and light intensity sensor. The analog switch is connected to the gas sensor and LDR sensor. This
ADC is used to convert analog signals to digital signals. A Relay switch is used to maintain a constant stability in light intensity
levels. For quick access the outputs are displayed on the LCD display.
Fig: SYSTEM ARCHITECTURE
V. MODULES
DHT11 SENSOR:
This DHT11 Temperature and Humidity Sensor consists of a digital signal output with the temperature and humidity sensor.
Every DHT11 sensor features extremely accurate sensing of humidity chamber. The sensor provides excellent quality, fast
response, anti-interference ability and high performance.
MQ-6 SENSOR:
Different gases keep evolving in the environment. Using MQ series of sensors we can easily detect the gaseslikeLPG,Nitrogen.
This sensor takes the gases in the form of analog data and converts it into digital signals usingADC. PropaneandHydrogen are

combined to produce Methane and other combustible steam, It is available in low cost and can be used for different
applications.
ADC:
ADC is a system that converts an analog signal to a digital signal. It also provides converting analog voltage to digital
numbering representing the magnitude of the voltage or current. The main function of ADC is to collect the information from
the outside world.
LDR:
The light dependent resistor works on the principle of photo conductivity. When light falls on the resistor then the
resistance is decreased. When the same LDR is kept in dark then the resistance will be high. In this, the light sensitive material
is arranged in zigzag pattern.
GSM MODULE:
Global system for mobile communication (GSM) is a standard for digital mobile communication. Itsupportsonly GSM
and a few GPRS networks. GSM was established in 1982 to create a European telephone standard. It is mainlyusedforsending
text messages using a GSM SIM.
VI. OUTPUT SCREENSHOTS:
The following figure shows the homepage of Thinkspeak cloud. The mainintensionof usingthisThingspeak istostore
the data that is delivered by the sensors and store that data in the form of tables.
Here it is necessary to register and login into an account with respective email and create a channel related to your project.
The outputs are shown in the form of graph sheets. This data can be stored in CSV formatcanbeviewedwheneveritis
required.
Fig: For Temperature

Fig: For Humidity
Fig: For Gas levels
Fig: For Light Intensity levels
If the values are exceeded the range of threshold values then an alert message is sent to the respective mobile number.

VII. CONCLUSION:
Implementing the embedded devices in the environment for monitoring activates self protection to the environment.Forthis,
we need to deploy the sensor devices in the environment for collecting the data and analysis purpose. After deploying sensor
devices in the environment, we can bring the environment into real life i.e. This device can interact with other objectsthrough
the network. Using GSM, the end user can store and analyze the data. This is the smart way to monitor environment and an
efficient, low cost embedded system that is presented with different models in this project.
VIII. REFERENCES
[1] Book “Getting Started with Raspberry Pi”, written by Shawn Wallace, First Edition.
[2] Michael Wijanarko, “Ambient Environmental Quality Monitoring Using IoT Sensor Network”,
[3] Tamilarasi B, Saravanakumar P, “Smart Sensor Interface for Environmental Monitoring in IoT”, February 2016.
[4] Nikhil Ugale, “Implementation of IoT for Environmental Condition Monitoring in Homes”.
IX. BIOGRAPHIES
A. Reddy Prasad,
Assistant Professor,
Dept of CSE, MTIET,
Palamaner.
C.Hemanth Kumar,
15HR1A0518,
Dept of CSE, MTIET,
Palamaner.
K.Gowthami,
15HR1A0541,
Dept of CSE, MTIET,
Palamaner.
C.S.Sreekanth,
15HR1A0514,
Dept of CSE, MTIET,
Palamaner.

G.GopiKrishna,
15HR1A0535,
Dept of CSE, MTIET,
Palamaner.

IRJET- Environmental Analysis in IoT using Raspberry Pi

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