Design And Implementation Of Intelligent Greenhouse System Based On Internet Of Things

Greenhouses provide suitable growing environment for crops,which are an important infrastructure of agricultural production and play an important role in modern agricultural production.In recent years,with the rapid development of economy and science and technology,especially the advancement of Internet of Things technology,our country’s greenhouses are developing from the traditional extensive planting methods to the modern,intelligent,networked and precise modern agriculture.The scientific and technological content of agricultural production has increased rapidly,and the modernization degree of greenhouses has been greatly improved compared with the past.Firstly,the significance of the research on intelligent greenhouse system and the research status at home and abroad,as well as the development of greenhouses and Internet of Things technology are introduced.Secondly,the design principles and functional requirements of the system are analyzed.An intelligent greenhouse system is designed based on the Internet of Things technology,which uses Zigbee+5G wireless communication mode,image recognition technology and PID control technology.The system has the functions of remote monitoring and automatic control.Thirdly,the thesis focuses on the research of the greenhouse temperature control strategy,PID control principle and implementation process,and carries on the simulation experiment and the result analysis.And design hardware and software for the control system Then the greenhouse temperature is visualized on the Web,and the pseudo-color image technology is used to display the real-time temperature change and distribution,realizing the remote intelligent temperature control.Finally,the future intelligent agriculture has been summarized and forecasted.The intelligent greenhouse system based on Internet of Things technology is designed to perform real-time monitoring and remote wireless transmission of greenhouse environmental parameter data through various sensors,and use intelligent control algorithms to output control parameters to achieve automatic adjustment of temperature and other parameters,in order to meet growth demand of different crops,implement fine management of greenhouse agricultural production,and improve the efficiency of agricultural production.