How Smart Thermostats Learn Your Habits

课文

1. Smart thermostats use sensors and machine learning to track when you're home or away.

   智能温控器通过传感器和机器学习来判断您是否在家。

2. They notice patterns—like lower temperatures at night and warmer settings before you wake up.

   它们能识别规律——比如夜间调低温度，以及在您起床前自动升温。

3. Over time, they adjust heating and cooling without needing manual input from you.

   随着时间推移，它们无需您手动操作即可自动调节冷暖。

4. This learning happens locally on the device, not by sending personal data to the cloud.

   这些学习过程在设备本地完成，不会将个人数据上传至云端。

5. Some models even detect open windows and pause heating to save energy automatically.

   部分型号甚至能检测到窗户开启，并自动暂停供暖以节能。

6. Unlike old thermostats, these devices respond to real-time weather forecasts too.

   与传统温控器不同，这些设备还能响应实时天气预报。

7. Their algorithms improve accuracy by comparing indoor conditions with outdoor changes.

   其算法通过比对室内外环境变化来提升调控精度。

8. Users report 10–15% less energy use after just three weeks of regular operation.

   用户反馈显示，连续三周正常使用后能耗降低10%–15%。

9. Installation is simple, but optimal performance requires consistent daily routines.

   安装简便，但要发挥最佳性能，需保持日常作息规律。

10. In short, they turn passive temperature control into an adaptive, energy-smart system.

    简言之，它们将被动的温度控制升级为自适应、节能的智能系统。