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Iot based weather monitoring system , High school final essays of Electronics

Iot based weather monitoring system using arduino

Typology: High school final essays

2023/2024

Uploaded on 04/19/2024

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IoT based weather monitoring system
Abstract:
IoT based weather monitoring system monitors the weather conditions at a particular place and
making the information visible anywhere in the world. The technology behind this project is the
Internet of Things (IoT), which is an advanced and efficient solution for connecting things to the
internet and connecting the entire world of things in a network. The system deals with monitoring and
controlling the environmental conditions like temperature, relative humidity, and rain with sensors
and sends the information to the web page, and then plots the sensor data as graphical statistics. The
data updated from the implemented system can be accessible in the internet from anywhere in the
world.
Introduction:
Weather Monitoring Systems are used to keep track of the ever-changing weather conditions. The
information obtained by such sensors is used to report weather and maintain track of environmental
changes in a given location. Such information is particularly useful in the study of the earth as well as
the analysis of changing climatic and environmental conditions in a given location. Furthermore, the
collected data and analytics can be used in a range of applications, including agriculture, geology,
mining etc.,
We propose an IoT and cloud-based Weather Monitoring System here that aims, building a system to
detect, record, and display weather data. This system employs sensors to detect and monitor
meteorological factors, after which the collected data is transferred to Arduino cloud that can be
accessed over the internet. It is possible to examine and report the data displayed as an output on a
dashboard.
Block diagram:
Fig: Block diagram of IoT based weather monitoring system using arduino
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IoT based weather monitoring system

Abstract:

IoT based weather monitoring system monitors the weather conditions at a particular place and making the information visible anywhere in the world. The technology behind this project is the Internet of Things (IoT), which is an advanced and efficient solution for connecting things to the internet and connecting the entire world of things in a network. The system deals with monitoring and controlling the environmental conditions like temperature, relative humidity, and rain with sensors and sends the information to the web page, and then plots the sensor data as graphical statistics. The data updated from the implemented system can be accessible in the internet from anywhere in the world.

Introduction:

Weather Monitoring Systems are used to keep track of the ever-changing weather conditions. The information obtained by such sensors is used to report weather and maintain track of environmental changes in a given location. Such information is particularly useful in the study of the earth as well as the analysis of changing climatic and environmental conditions in a given location. Furthermore, the collected data and analytics can be used in a range of applications, including agriculture, geology, mining etc., We propose an IoT and cloud-based Weather Monitoring System here that aims, building a system to detect, record, and display weather data. This system employs sensors to detect and monitor meteorological factors, after which the collected data is transferred to Arduino cloud that can be accessed over the internet. It is possible to examine and report the data displayed as an output on a dashboard.

Block diagram:

Fig: Block diagram of IoT based weather monitoring system using arduino

Working principle:

An IoT-based weather monitoring system using Arduino operates on the principle of collecting environmental data through various sensors, processing it within the Arduino microcontroller and transmitting the information to an online platform for analysis and visualization. Sensors such as temperature sensor (LM35), humidity sensor (DHT11) and rainfall sensor are interfaced with the Arduino board to continuously gather real-time data. The Arduino processes this data and transmits it to the cloud via Wi-Fi module (ESP8266). Once in the cloud, the data can be accessed remotely by users through a web or mobile application for monitoring and analysis. This system enables users to monitor weather conditions in real-time and make informed decisions based on the collected data.

Advantages:

  1. Improved safety and security
  2. Less power consumption
  3. Smart way to monitor Environment
  4. The low cost and efforts are less in this system
  5. Live reporting of the weather statistics

Applications:

  1. To keep track of the ever-changing weather conditions
  2. The weather monitoring plays very important role in the field of agriculture.
  3. It is also helpful at places like rain forests.

References:

  1. Agnihotri, P., Tiwari, S., Mohan, D. Design of Air pollution monitoring system using wireless sensor network. 2020 International Conference on Electrical and Electronics Engineering (ICE3), IEEE.
    1. Ali, N.A.A., Latiff N.A.A. 2019. Environmental monitoring system based on LoRa technology in island. 2019 IEEE International Conference on Signals and Systems (ICSigSys), IEEE.
    2. Anushri B., Gadhave K., Kumbhar S., Vinod Mulik V. 2022. Environment management system using wireless sensor network. Dickensian Journal, 22, 1628–1631.
  2. Bardyn, J.-P., Melly, T., Seller, O., Sornin, N. 2016. IoT: The era of LPWAN is starting now. ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference, IEEE.
    1. Bathiya, B., Srivastava, S., Mishra, B. 2016. Air pollution monitoring using wireless sensor network. 2016 IEEE international WIE conference on electrical and computer engineering (WIECON-ECE), IEEE.
    2. Bor, M.C., Roedig, U., Voigt, T., Alonso, J.M. et al. 2016. Do LoRa low-power wide-area networks scale? Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems.
    3. Han, Q. et al. 2019. A wireless sensor network for monitoring environmental quality in the manufacturing industry. IEEE Access, 7, 78108–78119.
    4. Khutsoane O., Isong B., Abu-Mahfouz A.M. 2017. IoT devices and applications based on LoRa/LoRaWAN. IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society, IEEE.