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By virtue of its geographical location, Pakistan is highly vulnerable to climate change. Thus due to high unpredictability in extreme weather events, many natural disasters have occurred in the past which resulted in political and economic instability and deterioration of natural ecosystems. This project aims to develop a system which can collect information related to weather efficiently to enable predictions of potential climatic hazards.


Im Presently, there are high end systems available for continuous weather monitoring. These systems are implemented on a large scale for monitoring weather of a whole city or state. Implementing such system for a small area is not feasible, since they are not designed for it and the overhead for maintaining such systems for a small area is very high. Human input is still required to pick the best possible forecast model to base the forecast upon. This involves pattern recognition skills and knowledge of model performance thus; there are chances of human errors e.g. inaccurate human calculations or coverage of small area. It also has limitations to know about exceeding hazardous parameters of environment.


The purpose of this project is to design an efficient weather station mote and to create a wireless sensor network. This system will monitor weather conditions such as temperature, pressure, light intensity, humidity, wind speed and direction in real time without human intervention with an objective to achieve accuracy, precision and power efficiency with minimized number of components.


The cloud service will use the imported data to plot charts which will show visual representation of the weather pattern over a recorded period of time. The visual patterns will indicate the weather behavior of the particular region.


This system essentially does the same as existing stations but with significant improvements. Its design supports distributed computing architecture. Each node will independently send its data directly to the station without requiring a coordinator node. This makes the design simple and easy to understand.

  • Cloud based architecture will help in analyzing sensor data in real time without requiring an “always on” dedicated display console to detect adverse events.
  • The use of self-designed electronic anemometer instead of using traditional rotating anemometer.
  • The use of a real time operating system enables on-demand scheduling of each task.
  • The system will be portable and easy to install.
  • Response to alerts generated by such system will be in the form of alerts sent to public, re-routing of traffic, evacuation of affected areas.

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