Sensor Collocation Study

This repository contains code and datasets for a comprehensive sensor collocation study examining indoor air quality and environmental parameters across various controlled experiments.

Overview

The project involves collecting and analyzing data from multiple sensors placed in indoor and outdoor environments to compare their performance and understanding air quality dynamics during various household activities and scenarios.

Repository Structure

• Data Processing:

  • Data_downloading.ipynb: Jupyter notebook for downloading and processing the dataset from Google Drive
  • Data will be stored in the ./data directory

• Visualization and Analysis:

  • graphs.ipynb: Jupyter notebook for visualizing sensor data across different experiments and comparing readings from various sensors

• Experiment Documentation:

  • experiments.json: JSON file containing the timing information for all experiments conducted during the study

Experiments

The study includes a wide range of environmental experiments including:

Experiment Type	Description	Number of Trials
Door Operations	Opening to garden, hallway, both	3
Exercise	Rowing with closed/open door	2
Human Presence	Occupancy effects	2
Diffuser	Water and oil diffusion	3
Vehicle Emissions	Car running at 3m and 5m distances	2
Cooking	Gas burner operation with closed/open door	2
Combustion	Candle burning (regular/scented)	4
Cleaning	Vacuum cleaning	1
Environmental	Odor from neighbors, heating, air exchange	6
VOC Testing	Controlled VOC tube experiments	6

Dataset

The data collected includes:

• Temperature readings
• Humidity measurements
• PM2.5 and PM10 particulate matter
• CO2 and VOC levels
• Air flow velocity

Getting Started

1. Clone the repository:

git clone https://github.com/yourusername/collocation_study.git cd collocation_study

2. Install required dependencies:

pip install -r requirements.txt

3. Download the dataset:

• Run the Data_downloading.ipynb notebook to fetch and organize the data files
• The data will be downloaded from Google Drive and stored in the ./data directory

4. Explore and visualize experiments:

• Open the graphs.ipynb notebook
• Select an experiment from the available options
• Generate comparison charts for CO2 and PM10 measurements
• The charts show data from all sensors alongside the reference device