%0 Journal Article %T 别墅声控智能家居设计
Design of Voice-Controlled Smart Home System for Villas %A 王乔仪 %A 蔡昌友 %A 常晓帆 %A 丁玉凯 %J Instrumentation and Equipments %P 12-18 %@ 2332-7006 %D 2025 %I Hans Publishing %R 10.12677/iae.2025.131002 %X 人工智能技术的快速发展推动了智能家居的普及，其中声控智能家居正逐渐成为别墅生活的必备配置。本文提出了一种基于STM32F103C8T6单片机的别墅声控智能家居系统设计方案。该方案包括语音识别模块、舵机控制窗帘模块、继电器控制空调模块、按键模块、显示屏模块、LED照明模块和WiFi通信模块，可以支持手动和自动两种操作模式，还集成了温湿度、烟雾和光照传感器，实现了环境的监测。在手动模式下，用户可通过物理按键或移动应用程序界面设置环境参数阈值，并直接控制窗帘、空调和照明设备。在自动模式下，系统根据预设阈值自主调节室内环境，如温度过高时启动空调降温，光照不足时开启照明，烟雾浓度过高时打开窗帘通风。实验结果表明，该系统可以表现出良好的响应速度和稳定性，能够有效满足用户对声音控制的需求。
The rapid development of artificial intelligence technology has promoted the popularization of smart home, and voice-controlled smart home is gradually becoming a necessary configuration for villa life. This paper presents a design scheme of villa voice control smart home system based on STM32F103C8T6 single chip microcomputer. The scheme includes speech recognition module, steering engine control curtain module, relay control air conditioning module, key module, display module, LED lighting module and WiFi communication module. It can support manual and automatic operation modes. It also integrates temperature and humidity, smoke and light sensors to realize environmental monitoring. In manual mode, users can set the threshold of environmental parameters through physical buttons or mobile application interface, and directly control curtains, air conditioning and lighting equipment. In the automatic mode, the system automatically adjusts the indoor environment according to the preset threshold, such as starting the air conditioning to cool down when the temperature is too high, opening the lighting when the light is insufficient, and opening the curtain to ventilate when the smoke concentration is too high. The experimental results show that the system can show good response speed and stability, and can effectively meet the needs of users for sound control. %K 智能家居， %K 温湿度检测， %K 光照检测， %K 烟雾检测， %K APP
Smart Home %K Temperature and Humidity Detection %K Light Detection %K Smoke Detection %K APP %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=108722