论文标题
室内空气质量改善
Indoor Air Quality Improvement
论文作者
论文摘要
室内空气质量差会导致各种慢性呼吸道疾病（例如哮喘，心脏病和肺癌）的发展。由于人类很难检测到感觉处理的空气质量极为困难，因此需要有效的通风系统可以提供更健康的环境。在本文中，我们设计了一个节能通风系统，该系统可以根据历史数据来预测传感器占用模式，以提高室内空气质量。
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.
