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基于智能灌溉系统WSN节点自供电系统设计 被引量:5

Design of WSN node self-power supply system based on intelligent irrigation system
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摘要 为提高智能灌溉系统大面积推广和系统节点能量利用效率,采用MPPT算法结合太阳能、超级电容、聚合物锂电池设计出基于STM32智能灌溉WSN节点自供电系统。利用Matlab软件,搭建光伏电池模型分析光伏特性,完成系统供电设计与模块选型,并设计能量管理电路,结合Qt平台开发监控软件。结合软件对系统进行测试分析,软件平台读取光伏电池及锂电池电压、电流实时数据,同时计算MPPT效率。经实验验证,系统整体运行良好, WSN节点采用太阳能光伏电池供能结合聚合物合锂电池、超级电容储能工作寿命较长,MPPT效率在86%附近小幅度波动,WSN节点自供电系统设计有效解决了传统节点单个电源引起能量不足缺陷,为智能灌溉系统普及与推广提供试验支撑。为WSN节点自供电提供新思路与设计方案,有效提升智能灌溉系统可靠性与实用性,在一定程度上提高农业灌溉效率和智能化水平。 In order to improve the large-scale popularization of intelligent irrigation system and the energy utilization efficiency of system nodes, a WSN node self-power supply system based on STM32 intelligent irrigation was designed by using MPPT algorithm combined with solar energy, super capacitor and polymer lithium battery. Using Matlab software, the photovoltaic cell model was built to analyze the photovoltaic characteristics, the power supply design and module selection were completed, and the energy management circuit was designed, and the monitoring software was developed based on Qt platform. The system is tested and analyzed with software. The software platform reads the real-time data of voltage and current of photovoltaic and lithium batteries, and calculates MPPT efficiency. The experimental results show that the whole system works well. The WSN node uses solar photovoltaic cells for energy supply, polymer lithium-ion batteries and super capacitors for energy storage. The MPPT efficiency is over 86%. The design of WSN node self-power supply system effectively solves the energy shortage caused by single power supply in traditional nodes, and provides experimental support for the popularization and popularization of intelligent irrigation system. At the same time, it provides a new idea and design scheme for WSN node self-power supply, effectively improves the reliability and practicability of intelligent irrigation system, and to a certain extent improves the efficiency and intelligence level of agricultural irrigation.
作者 陈明霞 张寒 李顺艳 王晓文 Chen Mingxia;Zhang Han;Li Shunyan;Wang Xiaowen(College of Mechanical and Control Engineering,Guilin University of Technology,Cuilin,541006,China;College of Geomatics and Geoin formation,Guilin University of Technology,Guilin,541006,China)
出处 《中国农机化学报》 北大核心 2019年第10期182-187,共6页 Journal of Chinese Agricultural Mechanization
基金 国家自然基金地区科学基金项目(61863009) 桂林理工大学科研启动项目(GLUTQD2012028)
关键词 智能灌溉 WSN节点 STM32 太阳能光伏电池 MPPT算法 intelligent irrigation WSN node STM32 solar photovoltaic cells MPPT algorithm
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