e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:04/Issue:03/March-2022 Impact Factor- 6.752 www.irjmets.com
WEATHER MONITORING SYSTEM USING IOT
Prof. Bhushan Mankar*1, Mr. Akshay Thakare*2, Mr. Hrutwik Dalvi*3,
Mr. Rushikesh Kale*4, Mr. Nikhil Deshmukh*5, Mr. Suraj Mahalle*6
*1Professor, Department Of Electronic And Telecommunication Engineering, P. R. Pote (Patil) College
Of Engineering And Management, Amravati, Maharashtra, India.
*2,3,4,5,6Degree
Student, Department Of Electronic And Telecommunication Engineering, P. R. Pote
(Patil) College Of Engineering And Management, Amravati, Maharashtra, India.
ABSTRACT
In this research, a foundation is set for an efficient solution for tracking the weather conditions of a
specific location and making the information available anywhere in the world. The technological
advances behind this is often Internet of Things (IOT), which is an efficient and effective solution for
linking the items to the online and to attach the whole world of things in a network. Here things might be
like an electronic gadgets, sensors, and automotive electronic devices. The system functions with
tracking and monitoring environmental circumstances like temperature, ratio, candlepower, pressure
and quantity of rainfall with sensors and whenever these scores exceed a selected threshold limit for
each an e-mails, an SMS alerts appliance owner to need the required steps.
Keywords: Cloud, Internet Of Things, Weather Monitoring System, Smart Environment.
I. INTRODUCTION
Weather monitoring system deals with detecting and gathering various weather parameters at different
locations which may be analyzed or used for meteorology. The aim of this technique is achieved by technologies
like Internet of Things (IOT) and Cloud. The thought of internet of things is to attach a tool to web and to other
required connected devices. Using Internet the knowledge from the IOT device can easily be transferred to the
cloud then from the cloud to the top user. Weather Monitoring is an important practical implementation of the
concept of Internet of Things, it involves sensing and recording various weather parameters and using them for
alerts, sending notifications, adjusting appliances accordingly and also for future analysis. Also we'll attempt to
identify and display trends in parameters using graphical representation.
The devices used for this purpose are wont to collect, organize and display information. It’s expected that the
web of things goes to rework the planet by monitoring and controlling the phenomenon of environment by
using sensors/devices which are ready to capture, process and transmit weather parameters. Cloud is
availability of computing system resources like data storage, computing power without direct actives
management of user. The info captured is transmitted to the cloud in order that the info might be further
displayed. Besides this, the system consists of components like Arduino UNO board which may be a
microcontroller board consisting of 14 digital pins, a USB connection and everything wont to support
microcontroller; DHT11 is temperature and humidity sensor which is employed for detecting these mentioned
parameters; WIFI module is employed to convert the info collected from the sensor then send it to the online
server.
So, during this way weather of any location are often monitored from any remote location within the world. An
internet page is made which may have access to the cloud and display and organize the specified results.
II. METHODOLOGY
The purpose of the weather monitoring system is to gather data on environmental conditions
like temperature, pressure, humidity and light weight in a neighborhood using multiple end nodes. The
top nodes send the info to the cloud where the info is aggregated and analyzed.
III. WORKING
Working of this Project is based on the following components used in this project.
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e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:04/Issue:03/March-2022 Impact Factor- 6.752 www.irjmets.com
System Design
In IOT enabled weather monitoring system project, Arduino Uno measures four weather parameters
using four respective sensors. These sensors are temperature sensor, humidity sensor, moisture senso r
and rain level sensor. These four sensors are directly connected to Arduino Uno. Arduino Uno has inbuilt
Analog to digital converter. Arduino calculates and displays these weather parameters on LCD display.
Then it sends these parameters to Internet using IOT techniques.
Figure 1: System Design.
MICROCONTROLLER/ARDUINO UNO:-
The implemented system consists of a microcontroller (ESP8266) which is that the most essential
component during this device. The sensors are often operated by the microcontroller to urge the
info from them and it processes the analysis with sensor data from them and it processes the analysis
with the sensor data and updates it into the web through WIFI module.
Arduino/Genuino Uno may be a microcontroller board supported the ATMEGA328P. Its 14 digital
input/output pins, 6 analog inputs, 16 MHz quartz, a USB connection, an influence jack, an ICSP header
and a push button. It contains everything needed to support the microcontroller, simply connect it to a
computer with a USB cable or power it with an AC-to-DC adapter or battery to urge started.
Figure 2: - Simple Arduino Microcontroller Board
WIFI MODULE:-
The Arduino Uno which we have used is integrated with a Wi-Fi module called Arduino Uno Wi-Fi. The board is
based on the ATmega328P with an ESP8266 Wi-Fi module consolidated TCP/IP protocol stack. In order to
establish communication with the ESP8266 Wi-Fi module, microcontroller needs to use some AT commands.
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e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:04/Issue:03/March-2022 Impact Factor- 6.752 www.irjmets.com
Figure 3:- Wifi Module
SENSORS:-
The system consists of a temperature and humidity sensor (DHT 11) and Barometric Pressure Sensor
(BMP180). These 2 sensors will be measure the primary environmental parameters like temperature, humidity
and the CO levels. These sensors will give the analog voltage as an input to the microcontroller board as each
analog voltage corresponds to a particular weather factor, then the microcontroller will convert.
Figure 4:- SENSOR (DHT-11)
BAROMETRIC PRESSURE SENSOR (BMP180):-
BMP 180 may be a part of BMPXXX family which are used for measuring atmospheric or atmospheric pressure.
It’s cheap and convenient to use. It measures the atmospheric pressure which is nothing but air weight or
weight of the air in simple words. It provides the knowledge in digital output.
Figure 5:- BMP-180
LDR (Light-Dependent Resistor):-
An LDR may be a light dependent resistor which work on the principle that it's a rheostat in it .which
changes its resistance consistent with the intensity of the sunshine. it's widely utilized in many light
sensing or light detecting circuit for instance in some smartphone it's attached with camera in order
that the camera can adjust its shutter speed consistent with the intensity of the sunshine . Its resistance
decrease with the rise in candlepower. It’s built of a high resistance semiconductor.
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e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:04/Issue:03/March-2022 Impact Factor- 6.752 www.irjmets.com
Figure 6:- LDR
Raindrop Module:-
It is used for the detection of rain. It can also be used to detect the intensity of rainfall. It has both digital
outputs as well as analog output. It has two further sub components that are control board and rain
board. It has a potentiometer for adjusting the sensitivity.
Figure 7:- Raindrop Module Sensor
IV. RESULTS AND DISCUSSION
Once the sensor measures are downloaded to the cloud, the values are evaluated then the edge limit
exceed an e-mails, an SMS and a tweeter post are posted.
V. CONCLUSION
This System monitor the changes happening over the environment and provide enough ways for the
users to access the knowledge from anywhere through cloud. The temperature and humidity sensor will
monitor and provides the small print about the changes happening over the climate. The gas and sound
sensor are used for monitoring the pollution over environment. The Monitored condition are going to be
updated within the cloud.
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e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:04/Issue:03/March-2022 Impact Factor- 6.752 www.irjmets.com
VI. FUTURE SCOPE
1. One can implement a couple of more sensors and connect it to the satellite as a worldwide feature
of this technique.
2. In aircraft, navigation and military there's an excellent scope of this real-time system.
3. It can also be implemented in hospitals or medical institutes for the research & study in “Effect of
Weather on Health and Diseases”, hence to provide better precaution alerts.
ACKNOWLEDGEMENTS
First of all, we extend our deepest gratitude guide Prof. Bhushan Mankar for providing immense support
and guidance. We are beholden for guiding us at every step in the project. He has most honestly guided us
throughout; never leaving us unanswered for any of our doubts. It was him constant persuasion,
encouragement, inspiration and able guidance that helped us in completing our Project successfully.
VII. REFERENCES
[1] Rao BS, Rao KS, Ome N (2016) Internet of Things (IOT) based weather monitoring system.
International Journal of Advanced Research in Computer and Communication Engineering Sep 5(9):
312-319.
[2] Gangopadhyay S, Mondal MK (2016) A wireless framework for environmental monitoring and instant
response alert. In International Conference on Microelectronics, Computing and Communications
(MicroCom) Jan 23 HE. p. 1-6
[3] Kumar D, Aseri TC, Patel RB (2010) EECHDA: Energy Efficient Clustering Hierarchy and Data
Accumulation for Sensor Networks. BIJIT 2(1): 150-157.
[4] Cerpa A, Estrin D (2004) ASCENT: Adaptive self-configuring sensor networks topologies. IEEE
transactions on mobile computing 3(3): 272-285.
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