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arXiv · 2012.15387

Indoor Air Quality Improvement

Ajinkya Gawade·Aniket Sanap·Vishal Baviskar·Ryan Jahnige·Qingquan Zhang·Ting Zhu
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Abstract

Poor indoor air quality can contribute to the development of various chronic respiratory diseases such as asthma, heart disease, and lung cancer. Since air quality is extremely difficult for humans to detect though sensory processing, there is a need for efficient ventilation systems that can provide a healthier environment. In this paper, we have designed an energy efficient ventilation system that predicts sensor occupancy patterns based on historical data to improve indoor air quality.

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Ajinkya Gawade, Aniket Sanap, Vishal Baviskar, Ryan Jahnige, Qingquan Zhang, Ting Zhu. 2020-12-31. Indoor Air Quality Improvement. https://arxiv.org/abs/2012.15387

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