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46 lines
1.7 KiB
Markdown
46 lines
1.7 KiB
Markdown
# "QCS" - the network of Clover charging stations
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[CopterHack-2023](copterhack2023.md), team **Lyceum 128**.
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## Network realisation
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Our charging stations use Python web server created with Django framework. On that server we storage information about charging stations:
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- Position (GPS + ArUco marker).
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- Possibility to drone landing.
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- Drone info (If it's on it).
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To connect to server we use API with special personal key for every drone and station. It can be regenerated if secured key became public.
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If you want to test station without drone you can use API Debug page. You must be in your account to open it.
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### Electronics in the station
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There are Arduino Mega and Wemos D1 on the station.
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Wemos D1 connect with server to collect information, do tasks. Arduino Mega receive signals from Wemos and make physical updates such as moving landing platform, LED indication and other more.
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After completing mission Wemos send request to a server to confirm updates on the server.
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## Clover flight
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We're using recursive landing algorithm to achieve success landing. Small ArUco marker is on the landing platform. Camera can use this marker on the ~25cm height. Next drone use standard landing.
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## Visit our landing and API page
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[https://qcs.pythonanywhere.com/](https://qcs.pythonanywhere.com/)
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## Source code
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Of that project is in our [GitHub page](https://github.com/qcs-charge/).
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## Team
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CH2023, Lyceum 128.
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- Mikhail Konstantinov, [@mikemka](https://t.me/mikemka/), programmer.
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- Julia Shvecova, [@Juli_Phil](https://t.me/Juli_Phil/), science adviser.
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- Oleg Sherstobitov, [@kulumuluu](https://t.me/kulumuluu/), constructor.
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