"IOT WEATHER MONITORING SYSTEM"

2018

Climate is the condition of the environment, to the extent that it is hot or chilly, wet or dry, quiet or stormy, clear or overcast. Man desires to stay up to date about the modern day of new weather conditions of any place like a university campus or another precise building. Checking the climate conditions physically is troublesome. Here on this paper the weather station is based totally on IoT (internet of things). The "Weather Bot" reports the climate data of the college campus by showing the temperature and humidity of the air on e-bulletin board from the reading that is sensed. Such a framework contains sensor like DHT11 that detects temperature and humidity. The sensor is associated with an e-bulletin board and ESP8266 board that is a low fee Wi-Fi module. By keeping the embedded devices in the environment for tracking enables us to know the college campus weather. The execution of the climate observing framework needs to convey the sensor gadgets in the surrounding...

2020

The IOT based Weather Monitoring and Reporting System venture is utilized to get Live detailing of climate conditions. It will monitor temperature, moistness, dampness smoke, and light and downpour level. Assume Scientists/nature investigators need to screen changes in a specific situation like a downpour backwoods. Also, these individuals are from better places anywhere. In the proposed article we monitoring the weather monitor and alerting using different sensors for easy access of the data. Here we proposed LM35,Smoke, humidity, light, soil moisture sensors are measure the temperature, humidity, soil moisture sensor, light status and smoke for smart weather and all the data will post into server using internet of things.

Lecture Notes in Electrical Engineering, 2019

In recent decades, the science and engineering professions have been heavily influenced by their responsibilities to the society. This responsibility has been directed towards the protection of public health and welfare. protection of environment is also a forefront responsibility and hence there is need to monitor it. The existing system in this paper uses separate devices and sensors to monitor the environmental parameters and condition. This may be tedious in case of monitoring a numbers of environmental surroundings and it is also not portable. The proposed system overcome the drawback of previous system by displaying all the parameter needed for accessing the environment as a single device and it is also easily portable. Updating real time data over cloud servers and giving alert over emergency messaging system.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

The Weather Monitoring System using the IoT is one such application of IoT that has paved the way for organizations to create new and efficient solutions. Because of the rapidly changing climate, the weather forecast is uncertain and inaccurate these days. The IoT based Weather Monitoring system features to monitor temperature and humidity level, Barometric pressure, light intensity, air quality and rainfall. The required hardware includes Raspberry Pi, Arduino Mega, DHT11, Light intensity sensor BH1750, MQ-135, BME-280, and raindrop sensor.. All the above sensors are used to measure the given parameters. Arduino IDE and Node-RED software is used for programming and connecting hardware devices and online services. All sensors and hardware components are connected and built with Raspberry pi and Arduino. The arduino board is programmed with necessary code through Arduino IDE. The output of the arduino is stored in the local database using the influxdb. A Web Application dashboard is developed using HTML, CSS and JavaScript. The web application collects data from the Node-RED and the dashboard visualizes all the sensor data like temperature, humidity, barometric pressure, light intensity, air quality and rainfall. The paper gives a description of using IoT to help the user to identify and monitor the temperature, humidity, barometric pressure, air quality, light intensity and rainfall in the environment. This dashboard will update real time values of the above parameters to help monitor, control and maintain a particular environment.

Not My Paper, 2020

In recent years, people are getting more conscious of the environment they are living in. This consciousness is driving the need to develop a reliable environmental monitoring system. An environmental air quality monitoring system also has industrial application. In mining or in heavy industry, there is a possibility of air contamination by different harmful gases. In such hazardous situations, an environmental monitoring system can potentially save the life of the workers. In such large-scale sensor deployment, there are data collection, data management, connection, and power consumption issues. IoT technology is specifically suited for this sort of need. This paper presents an IoT based framework that effectively monitors the change in an environment using sensors, microcontroller, and IoT based technology. With our device, users can monitor temperature, humidity, detect the presence of harmful gases both in the indoor and outdoor environment. The data is stored in the web server and the user can access the data anywhere in the world through an internet connection. We have developed a web application to provide vital information to the user. The user can also set up a notification for critical changes in the sensor data. In comparison to other closely related systems, our system is low cost, accurate and user friendly. It is also cloud-based and has easy monitoring and data visualization modules. The system has been evaluated in different stages. After testing all the functions in different conditions, it shows a high degree of accuracy and reliability.

International Journal of Innovative Technology and Exploring Engineering

Pollution detection and regular monitoring is extremely significant errand in this day and age of in our existing world. To make a better and more secure condition for individual, creatures, and plants. We have to screen and control the contamination through the Internet of things innovation. This investigation proposes air contamination and checking model which distinguishes contamination in air based on information mining calculation. The sensor System is used to recognize the sensor regards from different gas sensors. The microcontroller is utilized to exchange the qualities from ADC to server. Information mining is utilized to compute the toxins from various regions. ID3 algorithm is used to figuring the base of the characteristics on probability. Bluetooth module is utilized to interface the controller with the customer and the customer associated with the server by means of web administrations. Remote sensors are utilized to ascertain the level of unsafe gases presents noticea...

2021

This paper introduces different topics about Air pollution monitoring based on IoT (internet of things). It describes different methods used for monitoring and measuring Air pollution using different techniques. Some papers discussed Air pollution monitoring using (Arduino uno, Raspberry or ESP8266, PIC microcontroller). All would be presented to improve air monitoring efficiently and to clarify the tools used in each technique giving the differences between one technique and another. Reducing air pollution is necessary for the future, and cities around the world are using technology and smart city initiatives to take on the problem because it is considered as the major environmental risk factor for human health. Air pollution causes heart disease, stroke, chronic obstructive pulmonary disease, lung cancer and acute lower respiratory disease. Therefore, it is important to reduce traffic and output from factories to decrease pollution

Advances in Systems, Control and Automations, 2021

Air pollution is one of the major concerns in the world; especially, some of the toxic gases when in excess may have dire impacts on human health and are like CO 2 , NH 3 , particulate matter, etc. The temperature, humidity, and wind speed are also the weather parameters having their effects and cause for other gases in the environment. This paper concerns with the development of hardware which provides the concentration level of significant gases, i.e., CO 2 , NH 3 , O 2 , PM2.5 using MQ-Series gas sensors and the environment parameters, i.e., temperature, humidity, dew point, wind speed in real-time using the Raspberry Pi based on Internet of Things (IoT) platform. The data has been stored in the firebase database for realtime monitoring. The cloud computing-based monitoring system with inbuilt Wi-Fi connectivity ensures the analysis of different air pollutants and weather parameters on a periodical basis to provide the general air quality index (AQI) on a real-time basis. In the case of undesired conditions, the notification alert message will be sent to the user.

— In today's world where population and industrialization has expanded exponentially, pollution is a major crisis faced by the mankind and necessary measures should be taken to control it fast. Currently our population neglects this fact and there is less awareness regarding the pollution threshold values set by the government. To tackle this problem the system explored is an IOT kit, with effective utilization of various sensors, recording the values of different types of pollutants in the environment and display the statistics on a website which can be accessed by all users for free. The system we are proposing is an advanced solution for monitoring the environmental pollution at particular place and makes the information accessible to every individual.

Journal of Advanced Research in Applied Sciences and Engineering Technology, 2024

Rapid urbanization and industrialization have raised concerns about environmental quality and sustainability in recent years. The Internet of Things (IoT) has played an important role in monitoring physical phenomena by generating data that can be sent and preserved in the cloud. This work explores an IoT-based environmental monitoring system's potential, using an Arduino-based device for real-time tracking of environmental parameters including sound levels, humidity, dust concentration, total volatile organic compounds (TVOC), carbon dioxide (CO2), and carbon monoxide (CO). Real-time data are collected from various semi-residential and marketplace locations named in Pach raster More, Tomaltola, DowamoyiMore, Fojdarimore, and station road in Jamalpur district of Mymensingh Division, Bangladesh on non-holiday days, providing a representative snapshot of typical environmental conditions. The collected data is stored in a cloud server named firebase database. The implemented monitoring system offers several key features including accuracy and reliability, real-time monitoring data analytics alerts and notifications historical data as well as it can lead to various benefits and impacts of Improved Air and Water Quality Healthier Urban Environment (IAWUE) to enable local authorities and individuals to make educated decisions for a healthier and more sustainable urban environment. Graphical representations of the data revealed distinct patterns and trends, offering valuable insights into air quality variations across different areas. Interestingly, the results showed sound levels slightly below the standard range, indicating a relative control of noise pollution in the sampled regions. The findings of the work will serve as a vital resource for further research and guide policy-making for environmental improvement and sustainable practices in urban settings.