The Weather Report system, which provides local weather forecasts, is one of the top IoT-based applications. This initiative lessens reliance on weather forecasting services. The system gathers data from the temperature, humidity, and rain sensors and uses the internet to post statistics online. Red, yellow, and green notifications can identify extreme calamities, including volcanoes, tsunamis, torrential rain, and many more.
Here we propose a smart weather reporting system over the internet. Our proposed system allows for weather parameter reporting over the internet. It allows the people to directly check the weather stats online without the need of a weather forecasting agency. System uses temperature, humidity as well as rain sensor to monitor weather and provide live reporting of the weather statistics. The system constantly monitors temperature using temperature sensor, humidity using humidity sensor and also for rain. The system constantly transmits this data to the microcontroller, which now processes this data and keeps on transmitting it to the online web server over a wifi connection. This data is live updated to be viewed on the online server system. Also system allows user to set alerts for particular instances, the system provides alerts to user if the weather parameters cross those values. Thus the IOT based weather reporting system provides an efficient internet based weather reporting system for users.
Hardware componentss
Block Diagram
Weather forecast these days is unpredictable too be exact because of the climate changes drastically over weather. In cause of that, Weather Reporting System is mostly used to monitor the continuously changing climatic and weather conditions over controlled areas likes house, industry, agriculture and etc. in real time monitoring. Internet of Things (IoT) platform use is ThingSpeak it’s should be able displaying the weather parameters and the information will visible wherever in the world and it’s also displaying on the OLED with two-way microcontroller communication via Wi-Fi hotspots. The condition of some particular place that be reported by satellite weather report system does not give the exact condition. However, the problem occurs when needed the accurate weather report for current time. With weather reporting system all weather parameters sensor will be controlled by ESP32 microcontroller as the server that will send all the data collected by sensors to the database by ThingSpeak and will visible anywhere in the world and also display on OLED that use Wemos D1 mini as its microcontroller and a client. This data then will be compared with the weather forecast data and statistics made by forecast station. All data collected will be also saved in google sheet format by IFTT tool for easier to analyse the data. This system will monitor the changes of weather condition happening over the environment and then provides the users fastest way to access the information from anywhere.
Climate plays an important role in human life the unprecedented growth of industries and vehicular traffic have seriously affected the purity of clean air and environment. Satellite weather report system gives condition of present which does not give the exact condition of the particular place. The building sector offers a great potential for the energy savings, where it is necessary to have accurate weather data in the exact location where the building is being built in order to improve the calibration of energy simulation programs. By develop a controlling local weather reporting system with ESP32 and Wemos D1 mini microcontroller can minimize the error in weather forecast system at exact location. A precision agriculture and farming can be defined as the art and science of using technology to improve crop production. Even though water is a scarce resource, overall 50% of water is wasted in agriculture due to the improper scheduling of irrigation. In this context, the realtime monitoring of water usage in the fields can prevent misuse of water. Use of technology in the field of agriculture plays important role in increasing the production as well as in reducing the extra man power efforts, some of the researches tried for betterment of farmers and provides the systems that use technologies which are helpful for increasing the agriculture yield. Difficulty to monitor weather parameters through offline system such as agriculture zone during certain hazardous envy and critical situations where the people need to check manually the weather condition at the places and it will take time unless it is online system. In the evolving generation of wireless technology, the concept of smart cities and IOT has given a new remark in the world. One such remark leads towards the online smart weather station system. The weather parameters should be able displaying, analysing and monitoring system using ThingSpeak that connect user with internet that visible anywhere in the world. To analyse and monitoring system using ThingSpeak that connect user with internet that visible anywhere in the world. Internet of Things (IoT) is playing a leading role in providing solutions to many applications with the support of software, internet and embedded systems. There is a necessity in security or alarming system that give warning and alerting when there is a bad condition at the place. The existing technologies are developed using microcontrollers like Arduino, Node MCU etc. and ARM processors like Raspberry Pi. So, machine learning techniques achieved better performance than traditional statistical methods in learning without being expressly customized. Data measured by the stations could be used for various purposes, such as: air quality management to reduce pollutant gases in the local atmosphere and climate monitoring for a better yields of the region crops. To making alarming system this project has uses the Blynk apps to send a notification when the weather at bad condition to the user and also the buzzer sound at the weather station to put the user at home alert about the situation outside.
Based on the results that are obtained by the sensors send and display to ThingSpeak for user viewing. This will make monitoring weather parameter more easily with the Wi-Fi connection this system will start and ThingSpeak start displaying sensor data by graph and also all this data can be analysing in ThingSpeak. From the data Table 1, 2 and 3 and Table 4, the results have been compared and shown that the weather parameter from forecast station is not too accurate so with weather reporting system people can get the actual condition at their place with ease. The results of MQ135 and rain sensor from Table 6 uses to make comparison in actual condition of particular location in determine the sensor data value corresponding with actual condition and conclusion of the results data recorded can be made. With wireless monitoring network devices, the people can check online on the web page the weather condition to take certain steps and issues even in worst case for monitoring the weather parameters. With all the data also weather reporting system is to monitoring certainly weather to overcome the most important factor determining agricultural enterprise success or failure and have ease the user from getting inaccurate forecast from Forecast Company for their place. The IoT component that has established the communication between the microcontroller boards were ESP32 and Wemos D1 mini with communication via Wi-Fi hotspot.
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