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Received:July 09, 2021 Revised:August 13, 2021
Received:July 09, 2021 Revised:August 13, 2021
中文摘要: 针对目前农业灌溉用水浪费的情况, 提出了一种以树莓派为主控器件、云平台为监控的智能灌溉系统. 本文以农作物为灌溉对象, 分析了模糊控制算法、树莓派4B、传感技术、HTTP协议、MySQL数据库和OneNET云平台等技术的特点, 设计了一种能够根据环境状况自动灌溉的智能灌溉系统. 系统的硬件部分能完成空气温湿度、土壤湿度的采集. 软件部分考虑云平台技术开发成本低、功能上完全可以替代传统的Web, 而选择在云平台上开发了应用平台, 能控制灌溉并把数据上传至OneNET云平台, 同时将环境数据导入模糊控制器使得灌溉策略更加科学. 经过灌溉实验测试, 系统最大灌溉误差不超过2%, 能够很好地解决灌溉用水浪费问题, 具有广阔的应用前景.
Abstract:In view of the current waste of agricultural irrigation water, an intelligent irrigation system with a Raspberry Pi as the main control device and a cloud platform for monitoring is proposed. This study, with the crop as the experimental object, analyzes the characteristics of the fuzzy control algorithm, Raspberry Pi 4B, sensor technology, HTTP protocol, MySQL database, and OneNET cloud platform and designs an intelligent irrigation system that can automatically irrigate according to environmental conditions. The hardware part of the system can complete the collection of air temperature and humidity and soil humidity. In terms of the software part, considering the low development cost of cloud platform technology that can completely replace the traditional Web in function, applications are developed on the cloud platform, and they can control irrigation and upload the data to the OneNET cloud platform. Meanwhile, they can also import the environmental data into the fuzzy controller to make the irrigation strategy more scientific. In irrigation experimental tests, the maximum irrigation error of the system does not exceed 2%, which means the system can solve the problem of irrigation water waste and therefore has broad application prospects.
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基金项目:江苏省333高层次人才培养工程(2625)
引用文本:
赵苏徽,陈晓.基于树莓派和云平台的智能灌溉系统.计算机系统应用,2022,31(4):123-129
ZHAO Su-Hui,CHEN Xiao.Intelligent Irrigation System Based on Raspberry Pi and Cloud Platform.COMPUTER SYSTEMS APPLICATIONS,2022,31(4):123-129
赵苏徽,陈晓.基于树莓派和云平台的智能灌溉系统.计算机系统应用,2022,31(4):123-129
ZHAO Su-Hui,CHEN Xiao.Intelligent Irrigation System Based on Raspberry Pi and Cloud Platform.COMPUTER SYSTEMS APPLICATIONS,2022,31(4):123-129