Infrasonic Wildfire Detector

The goal of the project is to create a MESH Network of Infrasonic Wildfire Sensors.

=Problem Definition= Wildfires ravage through the forests and destroy ecosystems and economies, yet still, our best means of detection is by seeing and smelling smoke. The ability to provide a signal to firefighting services when the fire is still small could save countless homes and wilderness areas. In order to modernize this detection process, we propose a device that uses infrasonic detection and signal processing to detect wildfires. Our aim is to set up a mesh network of smart nodes and dumb nodes that can detect infrasound waves (0 – 20 Hz) and communicate this information wirelessly. This technology has the potential to drastically improve our ability to mitigate wildfires by allowing us to detect the problem sooner.

Background
Found frequency response from wildfires from the article "Wildfire Detection Using Sound Spectrum Analysis Based on the Internet of Things" by Shuo Zhang, Demin Gao, Haifeng Lin, and Quan Sun at the College of Information Science and Technology, Nanjing Forestry University. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929188/

Deliverables
3 sensor devices, capable of detecting infrasonic sound waves and networking with each other and the internet.

Final Design
In Progress.

Additional Documentation
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Hardware Datasheets & Description Sheets