Weather monitoring system / Owen Robbin

• Main Author: Robbin, Owen
• Format: Student Project
• Language: English
• Published: 2024
• Subjects: TK Electrical engineering. Electronics. Nuclear engineering; Detectors. Sensors. Sensor networks
• Online Access: https://ir.uitm.edu.my/id/eprint/101125/1/101125.pdf; https://ir.uitm.edu.my/id/eprint/101125/
• Institution: Universiti Teknologi Mara

In my Final Year Project 2 (EEE368), my focus culminated in the development of an innovative 'Weather Monitoring System.' This cutting-edge system relies on the utilization of an Arduino Uno microcontroller, seamlessly incorporating crucial sensors such as DHT11 for temperature and humidity, MQ-135 for gas detection, and BMP180 for atmospheric pressure readings. The Arduino Integrated Development Environment (IDE) played an important role in the coding process, enabling the seamless compilation of the code into the Uno microcontroller. This hardware and software capabilities empowers the system to efficiently process and transmit wide range environmental data to a designated cloud platform (ThingSpeak) which expected to be connected to server. The real-time weather monitoring system provides users with the ability to assess common environmental conditions, covering aspects such as ambient temperature, humidity, gas levels, and atmospheric pressure, thereby offering a comprehensive weather profile remotely and promptly. Users can conveniently access the system through a user-friendly interface, enabling them to check and retrieve up-to-the-minute weather parameters from any location with internet connectivity. This project incorporates a smart alert mechanism, ensuring that users receive prompt notifications if gas levels surpass certain thresholds or if critical weather conditions emerge, thereby offering practical guidance. This project signifies a significant leap towards more intelligent and efficient weather data collection and analysis, which shows the versatility of the Arduino Uno microcontroller and sensor integration in effectively addressing real-world challenges in weather monitoring.