Our project within Aegis is the development of a fire outbreak monitoring system to help governments and emergency services combat the emergence of wildfires with our widespread system of sensor nodes that will help take pre-emptive action against the forming of wildfires. This issue has only been further highlighted by the events of the LA fires earlier this year.
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Aegis
Innovation Fest 2025
About Aegis
UN SUSTAINABILITY DEVELOPMENT GOALS
Empowered and Driven:
Delivering Solutions for Global Issues
Sustainable cities and economies: This goal is the aim to make cities and human settlements inclusive, safe, resilient and sustainable.
Climate action: This goal is to take urgent action to combat climate change and its impacts.
Life on land: This goal is to protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
In linking to our project aegis’ goal is overall to save damage caused by wildfires before they are to erupt, this is in hopes of keeping people safe all while also keeping the habitats of animals in effected areas safe as well, we hope that the more our product sells and is distributed the impact of global warming will be reduced and give time for effects to be reduced.
THE STORY BEGAN
DESIGN STORY
Challenges
Challenges we have identified within our project are those of the seemingly imminent emergence of wildfires, and that the location and prediction of fires is too widespread to locate a specific area making it hard for emergency services to respond effectively and reduce the damages caused by the fires, as we have seen with peoples homes being reduced to rubble before help is possible.
Use Case
The aegis network would be implemented across areas that are at risk of wildfires such as dry forests. The network would consist of sensor nodes that would constantly monitor the conditions of the ground surrounding its effective area, such as temperature, soil moisture and humidity. The system would send this information to emergency services in real time, allowing for more timely responses, predictions of wildfire locations and more informed decisions in regard to what situations require more urgent responses. Actors: Sensor nodes: Components of the system that would collect and relay data within their effective range Firefighters: First responders that would act on the info relayed from the control centre Control centre: System for receiving the data from deployed nodes Preconditions: Network of nodes deployed across target area Communication is set up for data transmission Firefighters have access to the system Main flow: Data collection: Nodes collect temperature soil moisture and humidity regularly Data transmission: Data is sent through to the control centre through the mesh network Dashboard: Information is displayed on the main dashboard Alert: When data reaches set conditions an alert is triggered to show an area is close to / in high risk of wildfire Decision: Data is reviewed and responders are allocated to high risk areas
Solution
Our solution to this problem is the widespread area monitoring system that aegis is developing, allowing for firefighters to see a map of high risk areas and make it possible to ``Put out the fire before it erupts``.
TECHNOLOGIES
List of Essential Tools and Technologies
THE PROCESS
PROTOTYPE DESIGN
The prototype of our wildfire condition monitoring system will be made up of 2 small sensor nodes that will be placed in soil of differing conditions along with different closed environments, the nodes will be measuring the temperature, soil moisture, and humidity levels of these environments, following this the data will then be sent to the control system which will display the measured conditions on an lcd screen, this lcd will show if the area is close to conditions of a wildfire and highlight which of the two is at risk.
Online Marketing
Creative agency
Web development
PLEDGE
Impact on the market
Forest Fire Detection System can shake up the market with a low-cost, real-time, automated solution to an increasingly critical problem in the world. In contrast to current fire detection through satellite imagery, human surveillance, or reaction, this system uses IoT sensors to detect early signs of fire danger such as low humidity, high temperature, and dry soil before a fire occurs.
It fits into the market as an anticipatory precaution, adding on to existing firefighting infrastructure through faster response time and minimal human intervention. Its node redundancy, real-time alerting, and ability to function in remote woodland areas give it an advantage over slow and inert systems. On top of this, its ability to scale to meet demand places it as the right solution for governments, forestry departments, and even private wildlife reserves looking to implement smarter green management technology.
Relative to existing products on the market, this system is more localized, granular data, low-power sensor-based, and can leverage cloud and AI technology to provide predictive insights—making it faster, smarter, and more reliable than existing fire detection systems on the market.
RESULTS
FINAL PRODUCT
To reach our final product there have been many iterations of what layout the product will have in order to house the components with many ideas of room, stability and material cost coming in to play a part in what we believe to be the most effective design for our intended purpose. From a diagram made on tinkercad we had hours sat discussing the design of the product and came to an agreement on what was best, following this the design was then 3d rendered on tinkercad to allow for the product to be printed on a 3d printer
