Abstract

Weather monitoring plays an important role in human life. It is important to collect information of temporal dynamics of weather changes. There are many solutions available for weather monitoring. In particular, weather parameter information is required for serving industries to obtain knowledge of temperature and humidity in atmosphere. Monitoring wind power is an essential requirement for erecting wind mills. Humidity, visibility and temperature are continuously monitored at airports for flight takeoff and landing. The wind velocity and its direction are required by low speed aerial vehicles like unmanned aerial vehicles (UAV's) and micro air vehicles (MAV's). This is to know the exact wind speed and direction for dropping some object at a particular point or tracking any object on ground. Several research works have been made in this area and proposed different techniques for monitoring different weather parameters and transmitting the collected data to the ground stations over different modes of communication. However, no detailed studies are available to monitor and obtain the data directly from cloud. As a result, an embedded weather monitoring system is proposed. This is an advanced solution for monitoring the two weather parameters — temperature and humidity of a particular location continuously and uploading the monitored data to the internet cloud. The Scientific principle behind this system is the Internet of Things (IOT) which is an advanced and efficient solution for connecting the things to the internet and to connect the entire world of things through a network. The weather monitoring station is an embedded system built using an AVR microcontroller integrated with weather monitoring sensors to measure temperature and humidity. The monitored data uploaded on the cloud can be accessed by using smart phone application. This mobile phone application provides a continuous updating of the weather information of that particular location accessed from any part of the world by any individual.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call