AeroSafe: Mobile Indoor Air Purification using Aerosol Residence Time Analysis and Robotic Cough Emulator Testbed

• URL: http://arxiv.org/abs/2508.02947v1
• Date: Mon, 04 Aug 2025 23:11:37 GMT
• Title: AeroSafe: Mobile Indoor Air Purification using Aerosol Residence Time Analysis and Robotic Cough Emulator Testbed
• Abstract summary: This paper introduces AeroSafe, a novel approach aimed at enhancing the efficacy of indoor air purification systems.<n>It includes a robotic cough emulator testbed and a digital-twins-based aerosol residence time analysis.<n>Results demonstrate the model's ability to predict aerosol concentration dynamics with a mean residence time prediction error within 35 seconds.
• Score: 3.2207003694189997
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Indoor air quality plays an essential role in the safety and well-being of occupants, especially in the context of airborne diseases. This paper introduces AeroSafe, a novel approach aimed at enhancing the efficacy of indoor air purification systems through a robotic cough emulator testbed and a digital-twins-based aerosol residence time analysis. Current portable air filters often overlook the concentrations of respiratory aerosols generated by coughs, posing a risk, particularly in high-exposure environments like healthcare facilities and public spaces. To address this gap, we present a robotic dual-agent physical emulator comprising a maneuverable mannequin simulating cough events and a portable air purifier autonomously responding to aerosols. The generated data from this emulator trains a digital twins model, combining a physics-based compartment model with a machine learning approach, using Long Short-Term Memory (LSTM) networks and graph convolution layers. Experimental results demonstrate the model's ability to predict aerosol concentration dynamics with a mean residence time prediction error within 35 seconds. The proposed system's real-time intervention strategies outperform static air filter placement, showcasing its potential in mitigating airborne pathogen risks.

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