Zeroxygen - Space Apps Challenge

Zeroxygen| Spot That Fire V3.0

Awards & Nominations

Zeroxygen has received the following awards and nominations. Way to go!

Global Nominee

Spot That Fire V3.0

Recent wildfires worldwide have demonstrated the importance of rapid wildfire detection, mitigation, and community impact assessment analysis. Your challenge is to develop and/or augment an existing application to detect, predict, and assess the economic impacts from actual or potential wildfires by leveraging high-frequency data from a new generation of geostationary satellites, data from polar-orbiting environmental satellites, and other open-source datasets.

Track This Fire

Summary

Considering the large occurrence of forest fires, which in many cases are caused intentionally or by negligenceWe propose a communication system based in LORA network, integrating information available on the Internet (Weather / NASA FIRMS) with inexpensive sensors that will be fixed in risk areas to produce early warnings, but also located on demand to be able to follow in detail the movement of flames and smoke. we devised a wristband device (LORA Device) coupled by Bluetooth to a smartphone to be used by firefighters, and thus keep them communicated even without cellular coverage. This bracelet also serves as a panic button to alert the control center in case the user has problems.

How We Addressed This Challenge

We developed a communications system, sensors and a wristband device, using LORA networks, integrating them with satellite and weather data.

We intend to send and receive data in areas with little or no communications coverage.

The firefighters will have a wristband device linked by bluetooth with their smartphones and integrated into the LORA data network to receive information in real time or to send a distress request

How We Developed This Project

Our team was inspired by the multiple forest fires: Australia, USA, Argentina (our country, with more than 10 affected provinces) and how difficult it was to coordinate firefighters and other resources in areas of difficult access.

We use our own designs of IoT sensors to detect smoke, temperature and fire.

We also developed a protocol for LORA radio repeaters and a wrist device linked by Bluetooth

The sensors and repeaters are based on Arduino mini Pro controllers and RFM95 radio modules. The wrist device has a Heltec module that integrates a controller, Bluetooth radio and LORA

We program in C language for Arduino and Python to convert from CSV (Sensors / NASA FIRMS) to KML for Google Maps