Fire Fighting - Autonomous and Intelligent Sensors in the Fight against Forest Fires

(Google App Engine - Web Server)

Fire Fighting - Autonomous and Intelligent Sensors in the Fight against Forest Fires (Google App Engine - Web Server) - Banner #1

---

Current Status

Current Progress of the Project

Final Approval Grade of the Project

Description

A 1st year's lab work (project) of the MSc. degree of Computer Science and Engineering made in FCT NOVA (Faculty of Sciences and Technology of New University of Lisbon), in the subject of Mobile and Pervasive Computing. This project was built using Arduino, C++ (C Plus Plus), Java, Android and Google App Engine. The scenario chosen for this project was to combat forest fires with the use of sensors and actuators (built in Arduino boards), to detect and prevent fire occurrences in forests, as also, collect and analyse data from them, and kept in a Web Server. A Mobile App was also built to support some functions and interactions with the system, globally.

Click here to see the Project's Description!

Fire Fighting - Autonomous and Intelligent Sensors in the Fight against Forest Fires (Google App Engine - Web Server) - Project's Description #1

---

Screenshots

Fire Fighting - Autonomous and Intelligent Sensors in the Fight against Forest Fires

(Google App Engine - Web Server) - Screenshots (Part 1)

---

Fire Fighting - Autonomous and Intelligent Sensors in the Fight against Forest Fires

(Google App Engine - Web Server) - Screenshots (Part 2)

---

Live Demos

Fire Fighting - Autonomous and Intelligent Sensors in the Fight against Forest Fires

(Google App Engine - Web Server) - Live Demos (Part 1)

---

Fire Fighting - Autonomous and Intelligent Sensors in the Fight against Forest Fires

(Google App Engine - Web Server) - Live Demos (Part 2)

---

Schematic of Arduino Uno's Sketch

Fire Fighting - Autonomous and Intelligent Sensors in the Fight against Forest Fires

(Google App Engine - Web Server) - Schematic of Arduino Uno's Sketch

---

Getting Started

Prerequisites

To install and run this application, you will need:

The Git feature and/or a third-party Git Client based GUI, like:

• GitHub Desktop, GitKraken, SourceTree or TortoiseGit.

Installation

To install this application, you will only need to download or clone this repository and run the application locally:

You can do it downloading the .zip file in download section of this repository.

Or instead, by cloning this repository by a Git Client based GUI, using HTTPS or SSH, by one of the following link:

• HTTPS:

https://github.com/rubenandrebarreiro/fire-fighting-autonomous-intelligent-sensors-server.git

• SSH:

git@github.com:rubenandrebarreiro/fire-fighting-autonomous-intelligent-sensors-server.git

Or even, by running one of the following commands in a Git Bash Console:

• HTTPS:

git clone https://github.com/rubenandrebarreiro/fire-fighting-autonomous-intelligent-sensors-server.git

• SSH:

git clone git@github.com:rubenandrebarreiro/fire-fighting-autonomous-intelligent-sensors-server.git

Built with

• Java
• HTML
• Google App Engine

Contributors

Bernardo Palma Albergaria

Eduardo Manuel Silva

Rúben André Barreiro

Contacts

Rúben André Barreiro

E-mails

• ruben.barreiro.92@gmail.com
• r.barreiro@campus.fct.unl.pt
• up201808917@fe.up.pt
• up201808917@g.uporto.pt

Portfolios/Blogs and Git Hosting/Repository Services

Rúben André Barreiro

GitHub's Portfolio/Personal Blog

• https://rubenandrebarreiro.github.io/

Hosting/Repository Services

• https://github.com/rubenandrebarreiro/
• https://gitlab.com/rubenandrebarreiro/
• https://bitbucket.org/rubenandrebarreiro/
• https://dev.azure.com/rubenandrebarreiro/

Classifications/Final Approval Grades

Approval Grade of Lab Work

• 16 of 20