High-Level Project Summary
During our project we designed and developed an autonomous VTOL, which will be implemented as a system to assist in earthquakes, thus minimizing mortality in these disasters and speeding up the rescue of victims with superior efficiency. In addition to supporting infrastructure and urban traffic. All this through satellite data and seismic alerts issued for a quick and effective response, and taking advantage of the versatility of VTOLs to perform with it's tasks optimally with the help of various sensors and programs to automate the missions.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
The project is the design of an autonomous UAV-VTOL aircraft, with which to deal with natural disasters, as well as the prediction of these, thanks to this minimize mortality in these disasters and thus seek to expedite the search and rescue of people and the aid of the search corps. In addition to supporting infrastructure and urban traffic. All this through satellite data and seismic alerts issued for a quick, effective response, and taking advantage of the versatility of VTOLs to perform their tasks optimally with the help of various sensors and programs to automate the missions.
It consists of an aircraft which will have the same agility as a drone but with the autonomy very similar to that of a UAV, this has an autopilot system in which it can recognize and fully explore 10 square kilometers in less than 8 minutes, it can send valuable information to the receiver while it is completing the mission, since it has a predetermined route that will help it to start as soon as possible, with a very efficient sense of emergency. It uses previously collected information about the structure of the city and satellite mapping to look for anomalies in structures or streets that may be caused due to earthquake damage, in addition to having sensors capable of easily detecting.
Being able to prevent deaths in natural disaster events not only in earthquakes as well as to be used during rescue missions for remote viewing, use thermal sensors to determine if there are still people alive to prioritize those specific areas to safeguard people who may ultimately come out alive.
Mapping areas with higher incidence of earthquakes/natural disasters to determine future landslide areas.
One of the most important advantages of UAVs is that they can replace human labor within hazardous operations. This makes data collection near landslide or fire hazard prone areas very safe and efficient when done with a UAV.
We hope to reduce the number of casualties in disasters like this as much as possible by making rescue work that can be performed by humans as efficient as possible without putting themselves at risk, and by improving the flow of medical service units by leveraging mapping tools and aerial surveillance to detect areas with less traffic to reach the injured, helping rescue workers do their jobs more efficiently, and also lessening the economic impact caused by damage to city infrastructure by mapping and surveying critical points in city structures, we expect to deploy our aircraft in one city and begin expanding fleets where needed.
We use computer equipment to keep in touch throughout the competition, as well as pages and programs to keep in touch at all times such as Discord, Google meet, Zoom, etc. As for the software used are Office 360, SolidWorks, Blender, Fusion 360, Ansys and EARTH DATA.
Space Agency Data
The data we used are official documents from NASA with the help of information from their satellites for the measurement of gases in the atmosphere and over the cities it was possible to handle VTOL technologies as well as detection to excel with the project, also thanks to the documents we were able to observe the prediction of earthquakes as well as other natural disasters.
- https://search.earthdata.nasa.gov/search/collection-details?p=C1427048413-CDDIS&pg[0][v]=f&q=C1427048413-CDDIS&ac=true
- https://eo-toolkit-guo-un-habitat.opendata.arcgis.com/
- https://www.jpl.nasa.gov/news/tectonic-plates-movements-studied-using-satellites
- https://www.jpl.nasa.gov/news/nasa-demonstrates-tsunami-prediction-system
- https://earthobservatory.nasa.gov/images/2576/pacific-nwwashington-vancouver-island
- https://history.nasa.gov/conghand/satobsrv.htm
Hackathon Journey
Despite the limitations of the pandemic we managed to maintain active and effective communication throughout the duration of the hackathon, adapting to the situation we used tools at our disposal to make calls and have the best possible communication, as it is the most important thing in a team, without good communication we could not have done effective brainstorming, select topics of interest together, organize effectively, etc..
Our work experience was extremely pleasant, with line work and good organization we were able to unify the team and establish hierarchies for the management of new lines of project development. We learned about climate change, gases in the atmosphere, prediction of natural disasters, as well as aeronautical development. Our inspiration for this project was our empathy for people and the fact that most of us were students of aeronautical engineering. We solved our problem in a simple way by implementing existing technology, but guiding it in a new direction by innovating with VTOL technology. Finally, thank you for the opportunity to present the project before you and we hope to continue participating.
References
- https://search.earthdata.nasa.gov/search/collection-details?p=C1427048413-CDDIS&pg[0][v]=f&q=C1427048413-CDDIS&ac=true
- https://eo-toolkit-guo-un-habitat.opendata.arcgis.com/
- https://www.jpl.nasa.gov/news/tectonic-plates-movements-studied-using-satellites
- https://www.jpl.nasa.gov/news/nasa-demonstrates-tsunami-prediction-system
- https://earthobservatory.nasa.gov/images/2576/pacific-nwwashington-vancouver-island
- https://history.nasa.gov/conghand/satobsrv.htm
Tags
#uav #aerodesign #vtol #aerodesign #aircraft #design
Global Judging
This project has been submitted for consideration during the Judging process.