Quality of nighttime sleep is crucial. The common practice of air conditioners' sleep mode is to recommend a fixed sleep curve or suggest a pre-trained temperature curve based on geologic location. However, these models neglect the user preference and dynamic changes in the room's thermal environment, making it difficult to satisfy people of different ages and genders and resulting in discomfort during sleep. Demanding user to input their preferences or private data causes privacy issues, which leads to a bottleneck in solving this problem. Therefore, the paper proposes a new dynamic thermal parameter model for sleep, which learns the users' metabolic rate and thermal resistance of clothing and bedding through the user's undetected setting before sleep and simple feedback after waking up. These parameters fully reflect the inherent preferences of users and the thermal environment of rooms. After 1–2 rounds of feedback, the model can simulate the needs of users pretty well. In addition, we have optimized the PMV sleep model based on the dynamic thermal parameter model to regulate the temperature of air conditioner. In the controlled experiment, 84% of the participants expressed satisfaction with the regulated sleep temperature environment using the new model, which is 17% higher than that of the fixed curve. This model establishes a personalized model for users without obtaining their privacy information. In future research, wind speed control and humidity control can be introduced, and other sleep monitoring devices can be added to achieve more precise air conditioning temperature control.

中文翻译：

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基于 PMV 模型和动态热参数的可靠睡眠温度调节

夜间睡眠质量至关重要。空调睡眠模式的常见做法是推荐固定的睡眠曲线或根据地理位置建议预先训练的温度曲线。然而，这些模型忽视了用户偏好和房间热环境的动态变化，难以满足不同年龄和性别的人，导致睡眠不适。要求用户输入他们的偏好或私人数据会导致隐私问题，从而导致解决该问题的瓶颈。因此，论文提出了一种新的睡眠动态热参数模型，通过用户睡前未被检测到的设置和醒来后的简单反馈来学习用户的新陈代谢率和衣服和床上用品的热阻。这些参数充分反映了用户的固有偏好和房间的热环境。经过1-2轮的反馈，模型可以很好地模拟用户的需求。此外，我们在动态热参数模型的基础上优化了PMV睡眠模型来调节空调的温度。在对照实验中，84%的参与者对使用新模型调节的睡眠温度环境表示满意，比固定曲线高出17%。该模型在不获取用户隐私信息的情况下为用户建立了个性化模型。未来的研究中可以引入风速控制和湿度控制，还可以添加其他睡眠监测装置，实现更精准的空调温度控制。