基于STM32的智能绿植养护系统设计

Design of Intelligent Green Plant Nurturing System Based on STM32

设计了一款基于STM32微控制器的智能绿植养护系统,集成温湿度传感器、光照传感器和CO_(2)传感器等多种传感器模块,并采用相应算法实现高精度监测和自动调节绿植生长环境参数;该系统具有自适应能力,可以根据绿植生长状态动态调节环境参数阈值,更好地满足不同品种和生长阶段的绿植需求;系统搭载了蓝牙和Wi-Fi远程通信功能,用户可以通过手机APP和云平台实现远程监控,并对绿植生长环境参数进行设置和调节.同时,云平台和手机端实时对所采集的数据可视化,便于用户观察和处理异常情况.实验结果表明在实验室和户外环境下,该系统表现出良好的稳定性和高效性,有利于推动物联网在农业领域的应用.

An intelligent green plant nurturing system based on the STM32 microcontroller is designed in this paper.It integrates various sensor modules such as temperature and humidity sensors,light sensors,and carbon dioxide sensors,and utilizes corresponding algorithms to achieve high-precision monitoring and automatic adjustment of green plant growth environment parameters.The system possesses adaptability,dynamically adjusting environmental parameter thresholds based on the green plant′s growth status to better meet the needs of different plant varieties and growth stages.The system is equipped with Bluetooth and Wi-Fi remote communication capabilities,allowing users to achieve remote monitoring,as well as the adjustment of green plant growth environment parameters through a mobile app and cloud platform.Additionally,the cloud platform and mobile end provide real-time data visualization,facilitating user observation and the handling of exceptional situations.Experimental results indicate that the system demonstrates good stability and efficiency in both laboratory and outdoor environments,contributing to the advancement of IoT applications in the field of agriculture.