Analysis by the British Heart Foundation (BHF) shows that London residents are breathing in toxins equivalent to 160 cigarettes a year. The effects of air pollution in the circulatory and pulmonary systems can be devastating, especially for young children.
While many of us avoid traffic-heavy areas when cycling and fear the outdoors; have we ever thought about how stagnated air indoors can affect our family?
This project studies the number of toxic air particles while also considering environmental factors like temperature and humidity. Sensors were placed both indoors and outdoors.
Pilar Zhang Qiu
SENSOR DATA COLLECTION, STORAGE AND VISUALISATION
- Communication Protocols
- Data Collection Code
- Data Storage (Google API)
- Data Visualisation
(Web App Integration)
IDEATION, SYSTEM DESIGN AND HARDWARE
- Product Design and
- Component Order
- Hardware Development:
circuit design, soldering
02 SYSTEM & HARDWARE SET-UP
The hardware set-up consists of a:
Raspberry Pi Model 3B+
Two temperature and humidity (DHT22) sensors
Two air particle (MQ-135) sensors
One ADS1115 analog-to-digital converter module
A set of DHT22 and MQ-135 was installed both inside and outside my bedroom.
The collected data is processed to calculate PPM (Particle per Million) values of hazardous air particles.
Data is then stored in a Google Sheet through an API.
The website then reads the data from the spreadsheet and plots it automatically in graphs.
03 WEB APP - DATA VISUALISATION
A web app was created to present the collected air quality (PPM), temperature and humidity data in simplified graphs. This can be accessed by selecting a specific date range or by choosing the live data feed.
This web app was hosted for local networks by using the Apache software in the Raspberry Pi.