How to Build an IoT System Using AI and Drones to Prevent Wildfires in California

In the wildfire monitoring system, the DHT22 and BMP180 sensors will be used to collect temperature, humidity, pressure, and altitude data. This data will be sent to a MySQL database for storage via AWS MQTT, allowing for SMS and email notifications to monitor analysts and enabling alerts to fire stations and the data for future research. The Raspberry Pi 4 is utilized in this project as a compact and portable computer to connect the DHT22 and BMP180 sensors. The Raspberry Pi 4 will have AWS-IOT-MQTT installed to transmit data from the Pi to a Restful server. The Restful server, built with FastAPI, will persist the data into the MySQL database and send email notifications to users. This paper will demonstrate the proper use of sensors to construct your IoT system. The cost of the project can be influenced by the price of different sensors, and using reliable sensors can save time during debugging by helping developers identify errors in the code rather than in the hardware. The project also involves the use of several libraries on the Raspberry Pi, including Adafruit_DHT, Adafruit_Python_DHT, Adafruit_CircuitPython, and Adafruit_Python_BMP. These libraries are essential for retrieving data from DHT22 and BMP180 sensors. By following this paper, readers will understand how to effectively build and manage an IoT weather monitoring system, taking into consideration the cost and reliability of sensors, as well as the interaction of various software libraries and drones system. Also, Drones have become a crucial tool for rescue operations. With continuous advancements in science and technology, their functionalities are steadily increasing. In rescue missions, drones can monitor wildfire in real time, scout various hazardous environments, and assist firefighters in firefighting and rescue efforts. Additionally, modern building structures are complex, and multiple factors influence fire incidents. Firefighters often cannot promptly assess the specific situation of a fire scene or safely enter to conduct rescue operations. By utilizing drones, remote-controlled reconnaissance of the fire scene can be conducted, providing better support for firefighters in their firefighting efforts.