首页|基于Qt Creator的农业大棚远程自动监控系统设计

基于Qt Creator的农业大棚远程自动监控系统设计

扫码查看
为使农作物生长在最适宜的环境中,结合物联网技术与Qt Creator开发环境,设计一款农业大棚远程自动监控系统.系统由数据采集存储、视频监控、数据显示及反馈控制 4部分组成.部署在大棚内的传感器实时采集大棚内的环境数据,采用单片机作为主控,并通过WIFI将大棚的测控系统与Qt Creator结合起来.同时,系统支持自动和手动 2种控制模式,用户可以通过Qt Creator界面查看大棚环境的实时数据,并对大棚内的补光灯、降温风扇、喷洒开关和换气风扇等设备进行操控.通过测试可得,Qt Creator显示温度与大棚实际温度的相对误差分布于-0.44%~0.43%之间,Qt Creator显示湿度与大棚实际湿度的相对误差分布于-1.52%~2.13%之间;在各环境数据异常情况下,相关设备均能自动关闭和打开.表明系统具有较高的控制精度且自动控制实时性高,能够实现农业大棚的远程监测和控制.
In order to make crops grow in the most suitable environment,a remote automatic monitoring system for agricultural greenhouses is designed by combining the Internet of Things(IoT)technology and Qt Creator development environment.The system consists of four parts:data acquisition and storage,video monitoring,data display and feedback control.The sensors deployed in the greenhouse collect the environmental data in the greenhouse in real time,use the microcontroller as the main control,and combine the measurement and control system of the greenhouse with Qt Creator through WIFI.At the same time,the system supports two control modes:automatic and manual.Users can view the real-time data of the environment in the greenhouse through the Qt Cre-ator interface and manipulate the fill light,cooling fan,spray switch,ventilation fan and other equipment in the greenhouse.Through the test,it can be obtained that,the relative error between the Qt Creator display temperature and the actual temperature of the greenhouse is distributed between-0.44%and 0.43%,and the relative error between the Qt Creator display humidity and the actual humidity of the greenhouse is distributed between-1.52%and 2.13%;in the case of abnormalities of each environmental data,the relevant equipment can be automatically turned off and on.It shows that the system has high control precision and high real-time automatic control,and can realize remote monitoring and control of agricultural greenhouses.

internet of things technologyQt Creatormicrocontrollerwisdom agricultureautomatic monitoringvideo monitoring

李艳、刘瑞、张庆、霍婷婷

展开 >

宁夏师范学院 物理与电子信息工程学院,宁夏 固原 756000

陕西工业职业技术学院 商贸与流通学院,陕西 咸阳 712000

物联网技术 Qt Creator 单片机 智慧农业 自动监控 视频监控

宁夏回族自治区自然科学基金宁夏师范学院本科教学项目

2022AAC03318NJYZSTP2404

2024

智慧农业导刊

智慧农业导刊

ISSN:
年,卷(期):2024.4(8)
  • 8