Smart Weather Monitoring System And Real Time Alert System Using IoT

A Smart Weather Monitoring System and Real-Time Alert System utilizing IoT technology integrate various sensors and devices to collect meteorological data, such as temperature, humidity, air pressure, and wind speed, among others. Through interconnected networks, these systems enable continuous data acquisition, analysis, and transmission, facilitating real-time monitoring of environmental conditions. Leveraging IoT devices, the system can detect anomalies and trigger alerts promptly, providing timely warnings for impending weather events or hazardous conditions. By employing IoT, this innovative solution enhances the efficiency and accuracy of weather monitoring, contributing to proactive risk management and ensuring the safety and well-being of individuals and communities.

ABSTRACT

The system proposed is an advanced solution for weather monitoring that uses IoT to make its real time data easily accessible over a very wide range. The system deals with monitoring weather and climate changes like temperature, humidity, wind speed, moisture, light intensity, UV radiation and even carbon monoxide levels in the air; using multiple sensors. These sensors send the data to the web page and the sensor data is plotted as graphical statistics. The data uploaded to the web page can easily be accessible from anywhere in the world. The data gathered in these web pages can also be used for future references. The project even consists of an app that sends notifications as an effective alert system to warn people about sudden and drastic weather changes. For predicting more complex weather forecast that can’t be done by sensors alone we use an API that analyses the data collected by the sensors and predicts an accurate outcome. This API can be used to access the data anywhere and at any time with relative ease and can also be used to store data for future use. Due to the compact design and fewer moving parts this design requires less maintenance. The components in this project don’t consume much power and can even be powered by solar panels. Compared to other devices that are available in the market the Smart weather monitoring system is cheaper and cost effective. This project can be of great use to meteorological departments, weather stations, aviation and marine industries and even the agricultural industry.

TABLE OF CONTENTS

COVER PAGE

TITLE PAGE

APPROVAL PAGE

DEDICATION

ACKNOWELDGEMENT

ABSTRACT

CHAPTER ONE

INTRODUCTION

1.1      BACKGROUND OF THE PROJECT

  • PROBLEM STATEMENT
  • AIM / OBJECTIVE OF THE PROJECT
  • SIGNIFICANCE OF THE PROJECT
  • SCOPE OF THE PROJECT
  • APPLICATION OF THE PROJECT
  • PROJECT ORGANISATION

CHAPTER TWO

LITERATURE REVIEW

  • REVIEW OF THE RELATED STUDY
  • EXISTINGSYSTEM
  • PROPOSED SYSTEM
  • FEATURE AND ADVANTAGES OF THE PROPOSED SYTEM
  • PARAMETERS OF WEATHER STATION
  • MONITORING APPROACHES
  • OVERVIEW OF INTERNET OF THINGS
  • HISTORICAL BACKGROUND OF INTERNET OF THINGS
  • APPLICATIONS OF IOT

CHAPTER THREE

METHODOLOGY

  • BASICS OF THE PROPOSED SYSYTEM
  • DESCRITION OF SYSTEM BLOCK
  • INTERFACE DIAGRAM OF SENSORS WITH RASPBERRY PI
  • DESCRIPTION OF SYSTEM SENSORS

CHAPTER FOUR

4.0      RESULT AND TEST ANALYSIS

  • EXPERIMENTAL RESULTS
  • SIMULATIONRESULTS

CHAPTER FIVE

  • CONCLUSION
  • RECOMMENDATION AND FUTURE SCOPE
  • REFERENCES

CHAPTER ONE

1.0                                                        INTRODUCTION

1.1                      BACKGROUND OF THE STUDY

Present day innovations in technology mainly focus on controlling and monitoring of different devices over wirelessly over the internet such that the internet acts as a medium for communication between all the devices. Most of this technology is focused on efficient monitoring and controlling of different. An efficient environmental monitoring system is required to monitor and assess the weather conditions in case of exceeding the prescribed level of parameters (e.g., noise, CO and radiation levels) and for gathering data for research purposes (amount of rainfall, windspeed etc.).

A system is considered as a smart system when the device equipped with sensors, microcontrollers and various software applications becomes a self-protecting and self- monitoring system.

Event Detection based and Spatial Process Estimation are the two categories to which applications are classified. Initially the sensor devices are deployed in environment to detect the parameters (e.g., Temperature, Humidity, Pressure, LDR, noise, CO and radiation levels etc.) while the data acquisition, computation and controlling action (e.g., the variations in the noise and CO levels with respect to the quantified levels). Sensor devices are positioned at different locations to collect the data to forecast the behavior of a particular area of interest. The main aim of this paper is to design and implement an resourceful monitoring system through which the required parameters are monitored remotely using internet and the data gathered from the devices are stored in the cloud and to project the predictable trend on the web browser.

A solution for monitoring temperature and CO levels i.e., any parameter value crossing its threshold value ranges, for example CO levels in air in a particular area exceeding the normal levels etc., in the atmosphere using wireless embedded computing system is proposed in this paper. The solution also provides an intelligent remote monitoring for a particular area of interest. In this paper we also current results of collected or sensed data with respect to the normal or specified ranges of particular parameters. The embedded system is an integration of sensor devices, wireless communication which enables the user to remotely access the various parameters and store the data in cloud.

1.2                AIM/OBJECTIVES OF THE PROJECT

The aim of this work is to design a device that allows you to view your indoor and outdoor weather data (temperature, humidity, barometric pressure, CO2 and noise). The required parameters are monitored remotely using internet and the data gathered from the devices are stored in the cloud and to project the predictable trend on the web browser.

1.3                          SIGNIFICANCE OF THE PROJECT

The advantage of this device is real-time weather monitoring. We provide solution to the observatory to achieve real-time monitoring of weather at different locations in the territories.

1.4                           APPLICATION OF THE PROJECT

To analyze past data, observe the present and forecast the future. The device allows you to view your indoor and outdoor weather data (temperature, humidity, barometric pressure, CO2 and noise) in graph or digital form for real-time tracking of your environment. Observe the cycles and forecast variations around you. It is commonly used by whether broadcasters and farmers.

1.5                                  SCOPE OF THE PROJECT

Weather information like temperature, wind direction and speed, humidity, flooding can be gathered via various measuring equipment in street weather station. All the data can be centralized, organized and sent to the observatory by our product provides extensive compatibility to sensors. Through cloud management platform, the data feedback from weather stations can be visualized in form of dashboard, chart. Since the data transmission is instantaneous, alert can be triggered in cloud management platform once abnormal weather data is received. The observatory can issue warning signal to the public immediately after poor weather condition is recognized.

1.6                                   PROBLEM STATEMENT

Before now, for one to measure whether parameter such as temperature, wind direction and speed, humidity and flooding, he has to visit the particular environment and then used his instrument to measure. But nowadays, this method has change. A different method is used as a result of technological advancement which enable one to measure whether parameters using wireless means called smart whether monitoring using IoT. The system proposed is an advanced solution for weather monitoring that uses IoT to make its real time data easily accessible over a very wide range via internet.

1.7                                                         PROJECT ORGANISATION

The work is organized as follows: chapter one discuses the introductory part of the work,   chapter two presents the literature review of the study,  chapter three describes the methods applied,  chapter four discusses the results of the work, chapter five summarizes the research outcomes and the recommendations.

 

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