Raspberry Pi Air Quality

Brief

Status: Obsoleted 废弃
Year: 2015

After having self-studied Python and Flask in 2015, I came into contact with Raspberry Pi, it's very interesting, playing with hardware and sensors.

中文详细介绍和简略教程 应公司要求在抖音上了一节招生宣传课

Tech stack

• Hardware:
  • Raspberry Pi 3B
  • PlanTower PMS5003s(G5s) PM2.5 laser dust sensor
  • Aoson DHT22(AM2302) temperature and humidity sensor
• Frontend: Material UI High-chat
• Backend: Flask

limited by my ability at that time,
Deficiency:

• Frequency requests from frontend to backend results error, because request will call sensor directly, backend not use a database or global variable to cache sensor data.
• Data of High-charts rendered from Flask template syntax, which should be asynchronous via js ajax, due to the poor frontend ability at that time, hence need to request frequently to update chart.

And the tech stack is outdated now, so this project is obsoleted. Maybe refactor in the future.

Screen shot

Enrolling publicity course on DouYin(TikTok) ask by ex-company in 2021.