Real Time Weather Monitoring System Based On Intelligent Network -Final Year Project Report 

Abstract

Weather refers to the state of the atmosphere, to the degree that it is hot or cold, wet or dry, calm or stormy, clear or cloudy. Weather basically is day-to-day temperature and precipitation activity. Hence, through certain measures weather change can be predicted such technique is called Weather forecasting. Human beings have attempted to predict the weather informally for millennium and formally since the nineteenth century. Weather forecasts are made by collecting quantitative data about the current state of the atmosphere on a given place and using scientific understanding of atmospheric processes to project how the atmosphere will evolve on that place.
However, to accurately determine the weather and to predict the weather beforehand requires accurate tools which for local people or organization may be costly as well as those tools may require special attention to operate. Due to this, the current practices are mostly limited to APIs created by foreign organization which cannot give us specific detail about the weather our desired location.
The project explores tools and techniques to develop a cheap automated system which monitors the weather condition. The weather condition is driven by air pressure (temperature and moisture) differences between one place and another. Our proposed system makes use of three sensors to measure the weather factors such as temperature, humidity, light intensity, and pressure. Through this system we can automatically collect the information about humidity and temperature. The details are stored in a database and according to current and previous data we can produce the results in graphical manner in the system. The objective of this paper is to formulate the weather and be able to forecast the weather without human error.