针对传统微景观系统依赖人工维护、缺乏生态自循环能力的问题,设计了一种以K210为核心的智能微景观控制系统,实现了环境自适应调节与人机情感交互功能。该系统通过集成传感器实时监测温湿度与光照度,并自动控制喷雾与灯光以维持微景观生态平衡;借助Wi-Fi技术,完成了环境数据的远程传输与存储。创新性地引入KPU+Yolo-K210模型,实现了人脸表情识别功能,使系统能够感知用户情绪并相应地调节环境氛围,达到减压、装饰与抗疲劳的个性化体验。实验结果表明,Yolo-K210模型识别精度达到0.874,系统各项功能运行稳定可靠,验证了其在智能微景观系统中实现“环境—人”双向交互的可行性,为智能微景观的系统化设计提供了可参考的解决方案。

To address the limitations of traditional micro-landscape systems, which rely on manual maintenance and lack ecological self-regulatory capabilities, an intelligent micro-landscape control system based on the K210 chip has been designed. This system incorporates adaptive environmental regulation and human-machine affective interaction functionalities. By integrating sensors for real-time monitoring of temperature, humidity, and light intensity, it autonomously controls misting and lighting to maintain ecological equilibrium within the micro-landscape. Utilizing Wi‑Fi technology, the system enables remote transmission and storage of environmental data. Innovatively, the KPU + YOLO‑K210 model has been incorporated to achieve facial expression recognition, allowing the system to perceive user emotions and dynamically adjust the ambient atmosphere, thereby delivering personalized experiences such as stress relief, aesthetic enhancement, and anti‑fatigue effects. Experimental results demonstrate that the YOLO‑K210 model achieves a recognition accuracy of 0.874, with all system functions operating stably and reliably. These findings validate the feasibility of establishing bidirectional "environment-human" interaction in intelligent micro-landscape systems and provide a referential framework for their systematic design.