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Fire Detection System

Documentation API Documentation

This repository contains an nRF Connect SDK based Fire Detection System application. This project is designed for early detection of wildfires using a network of sensors monitoring temperature, humidity, and smoke levels. The system is built on the Zephyr RTOS and utilizes LTE-M communication for reliable data transmission even in remote areas.

Getting started

Before getting started, make sure you have a proper nRF Connect SDK development environment. Follow the official Installation guide.

Initialization

The first step is to initialize the workspace folder (fire-detection-system-workspace) where the fire-detection-system and all nRF Connect SDK modules will be cloned. Run the following command:

# initialize fire-detection-system-workspace for the fire-detection-system (main branch)
west init -m https://github.com/nmpluta/fire-detection-system --mr main fire-detection-system-workspace
# update nRF Connect SDK modules
cd fire-detection-system-workspace
west update

Building and running

To build the application, run the following command:

cd fire-detection-system
west build -b $BOARD app

where $BOARD is the target board.

A sample debug configuration is also provided. To apply it, run the following command:

west build -b $BOARD app -- -DEXTRA_CONF_FILE=debug.conf

Once you have built the application, run the following command to flash it:

west flash

Testing

To execute Twister integration tests, run the following command:

west twister -T tests --integration

Documentation

A minimal documentation setup is provided for Doxygen and Sphinx. To build the documentation first change to the doc folder:

cd doc

Before continuing, check if you have Doxygen installed. It is recommended to use the same Doxygen version used in CI. To install Sphinx, make sure you have a Python installation in place and run:

pip install -r requirements.txt

API documentation (Doxygen) can be built using the following command:

doxygen

The output will be stored in the _build_doxygen folder. Similarly, the Sphinx documentation (HTML) can be built using the following command:

make html

The output will be stored in the _build_sphinx folder. You may check for other output formats other than HTML by running make help.

About

The fire_detection_system is an IoT-based project designed for early detection of wildfires using a network of sensors monitoring temperature, humidity, and smoke levels. The system is built on the Zephyr RTOS and utilizes LTE-M communication for reliable data transmission even in remote areas.

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