Raspberry Pi based Weather Monitoring System using IOT

In IOT enabled weather monitoring system project, Raspberry Pi measures 9 weather parameters using respective 9 sensors. These sensors are temperature sensor, humidity sensor, light sensor, Oxygen sensor, Dust sensor, Air Pressure sensor, Rain sensor, Wind Direction sensor and Wi

Project Title

Raspberry Pi based Weather Monitoring System using IOT

Project Area of Specialization

Internet of Things

Project Summary

In IOT enabled weather monitoring system project, Raspberry Pi measures 9 weather parameters using respective 9 sensors. These sensors are temperature sensor, humidity sensor, light sensor, Oxygen sensor, Dust sensor, Air Pressure sensor, Rain sensor, Wind Direction sensor and Wind Speed sensor. These 9 sensors are directly connected to Raspberry Pi since it has an inbuilt Analog to digital converter. Raspberry Pi process and calculates these values and sends these parameters to the Internet using IOT techniques. The process of sending data to the internet using Wi-Fi is repeated after constant time intervals. Then the user needs to visit a particular website to view this data. The project connects and stores the data on a web server. Thus the user gets Live reporting of weather conditions. This project can also predict future weather conditions upto 7 days.

Project Objectives

To provide online visualization of weather conditions to help individuals or different companies to decide where to install solar panels or not, whats the best place to install wind turbines, whats the best place for agriculture. Also, in Pakistan our weather is becoming dynamic and keeps on changing every year due to global warming, so this project can provide real-time weather parameters 24/7 which can help us understand changing conditions so we can get more alert and start finding its solutions. Dwellers of areas of extreme weather can get most benefited from this project.

Project Implementation Method

This Project consist of two parts, software implementaion method and then hardware implementaion method. Project software implementation consist of checking the whole project circuit through software (proteus) and scanning the compatability of components with each other, after it the project will be implemented in terms of hardware and all 9 sensors will be connected to the raspberry pi which read and process sensor values and upload it to the cloud service using IOT technique from where anyone around the globe can access it.

Benefits of the Project

1. Provide online visualization of all weather parameters            including wind speed and direction which are rare.

2. Help individuals or different companies to decide where to install solar panels or not, whats the best place to install wind turbines, whats the best place for agriculture etc.

3. Provide real-time weather parameters 24/7 which can help us understand changing weather conditions due to global warming.

4. Dwellers of area of extreme weather conditions can get          most benefited from this project.

5. We can predict weather upto 7 days with the help of this        project.

Technical Details of Final Deliverable

1. Reads temperature from 0 to 100 degree celsius.

2. Calculate light intensity from 0 to 65535 lux.

3. Oxygen sensor range from 0 to 25%.

4. Detect dust particles larger than 0.8?m in diameter.

5. Air Pressure range from 15 to 115 kPa.

6. Rain sensor driving ability over 15mA.

7. Humidity detection range from 20% to 90%.

8. Detect wind speed from 3 mph to 125+ mph.

9. Detect wind direction from 0 to 360 degrees magnetic with     Threshold speed of less than 0.3m/s.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Education

Other Industries

Core Technology

Internet of Things (IoT)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People, Quality Education, Industry, Innovation and Infrastructure, Climate Action

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com