The Research And Design Of The Intelligent Greenhouse Monitoring System

With the development of economic and agricultural technology, people’s living standard is keeping improving. The demand of a variety of vegetables and fruits crops will also rise, especially after the reform and opening up. Great changes occurred in people’s lives. At the same time, due to the low efficiency of traditional agricultural productivity but high economic development, people engaged in agricultural industry decline year by year. As a result, it is necessary to introduce some new agricultural production techniques, such as greenhouse cultivation techniques. Agricultural researchers developed a variety of greenhouse cultivation techniques according to the farming technology. Greenhouse can improve plant growth environment, create favorable conditions for plant growth, and avoid the changing seasons and bad weather adversely affect plants.Therefore,Greenhouse planting is a good solution to solve people’s demand for crops and engaged in agricultural labor shortages.This article takes Taiyuan Yangqu County one farm Greenhouse # 31 as instance, and based on the use of electronic technology, automatic control technology, computer technology, agricultural technology, combined with on-site the actual situation, proposes an intelligent greenhouse control system. The main design and research content is as follows:1. Completed the design of the overall structure of intelligent greenhouse control system, and illustrate the links between the various subsystems.2.Completed the greenhouse node system design, including the measurement subsystem, environment control subsystem, greenhouse node instrument design.First,completed the design of the underlying measurement subsystem. Including greenhouse parameters of the sensor selection, communication subsystem and bus type selection, SCM system hardware design, software programming and so on.Second, completed the design environment control subsystem. Including environmental regulation equipment selection, selection of the PLC, the regulation device control circuit design, PLC system I / O assignment, and PLC programming and other software programs.Third,completed greenhouse node instrument design,including the monitoring instrument selection and embedded configuration software development.3. Completed PC monitoring subsystem design. Including PC equipment selection and PC software development.4.Established a PSO-RBF neural network temperature prediction model through the parameter from indoor temperature measurement and analysis of parameter which affect the indoor temperature, and combine with PSO algorithm and RBF neural network theory. The accuracy is also verified according to the experiment data.Innovation of this paper are as follows:1.Multi-level control structure is used in this system for greenhouse integrated management to ensure the security and stability of the system.2.Applied the industrial control technology and agricultural technology to the greenhouse agricultural automation has obtained the good actual effect.3.Taken measured data as samples, a greenhouse temperature forecast model is built using PSO-RBF algorithm theory.Experimental results shows the system various parameters indicators can be observed indoor or remotely. Realized the environment control equipment local and remote control with a data display, record, process, strategies sending and other functions. This system is powerful, simple operating, safe and reliable, meet the design requirements, with a good prospect.