With the rise of sustainable urban planning, greenways and linear, green spaces designated for recreational use, often built along waterways or decommissioned railroad tracks, have become a popular addition to cities worldwide.
The fire can start as a wildfire in an empty field on the outskirts of any city, but it can evolve into an urban conflagration as it hopscotched between wildland vegetation, the Greenway, adjacent fields, and neighborhoods. The same continuous strips of dense vegetation bordering the Greenway that have made the area popular among birdwatchers and bicyclists could fuel the fire, and also high winds could propelled it through populated areas.
Description:
My idea is to create a main module as firefighting system and controlled with a Neural Network with the XIAO SAMD21 board.
How does it work?
- When the temperature rises or if there is a fire nearby the Flame sensor photo transistor detects it radiation and the D0 pin goes HIGH.
- XIAO SAMD21 board gets the output of flame sensor which sends signals to the L293 driver module.
- So L293B driver module activates the water pump.
- Water is exited through the pipe attached to the pump and fire is extinguished. In addition, the buzzer is activated.
- If the flame is far away from the main module, then a spray is activated.
- This whole process which takes place is autonomous by using Neural Networks on the XIAO SAMD21board.
- The servo rotates the main module with the sensors mounted on it, ensuring that it covers an important area. When a fire is detected, the servo stops to give the water pump time to do its job.
- I have added the light sensor to make sure if the radiation is produced by natural light or by fire.
- I have also added the humidity and temperature sensor (DHT20) to feed the neural network with these very useful values.
HARDWARE:
- XIAO SAMD21 board,
- Flame Sensor,
- Temperature & Humidity Sensor V2.0 (DHT20),
- Light Sensor,
- Buzzer,
- Mini water pump, and
- L293B driver
SOFTWARE:
- Arduino IDE, and
- Python
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