# DATIV—Remote Enhancement of Smart Aerosol Measurement System Using Raspberry Pi-Based Distributed Sensors

## TL;DR

The DATIV system uses low-cost, distributed sensors to monitor and improve indoor air quality for reducing airborne disease transmission.

## Contribution

A Raspberry Pi-based, open-source system for remote monitoring of indoor air quality using distributed particulate matter sensors.

## Key findings

- DATIV enables simultaneous use of multiple particulate matter sensors with remote control capabilities.
- The system features a browser-based GUI for easy operation from any remote device.
- Validation measurements and software architecture are presented for practical implementation.

## Abstract

Enclosed public spaces are hotspots for airborne disease transmission. To measure and maintain indoor air quality in terms of airborne transmission, an open source, low cost and distributed array of particulate matter sensors was developed and named Dynamic Aerosol Transport for Indoor Ventilation, or DATIV, system. This system can use multiple particulate matter sensors (PMSs) simultaneously and can be remotely controlled using a Raspberry Pi-based operating system. The data acquisition system can be easily operated using the GUI within any common browser installed on a remote device such as a PC or smartphone with a corresponding IP address. The software architecture and validation measurements are presented together with possible future developments.