Study And Implementation Of ZigBee-based Intelligent Monitoring System For Flower Greenhouse Environment

With the continuous improvement of people’s quality of life,green plants and flowers are gradually coming into people’s lives.Traditional greenery and flower planting rely on manual labor and material resources,and many environmental factors are difficult to judge accurately,and small environmental changes may lead to a decline in flower quality.For the southern Xinjiang region,the greenhouse monitoring and control technology is still in the semi-automatic and semi-manual stage,and the semi-intelligent greenhouse monitoring system has high cost and low accuracy,which cannot meet the demand of flower growing environment.In response to the above situation,this study designed a low-cost ZigBee-based greenhouse intelligent monitoring and control system based on field research and comprehensive analysis of flower greenhouses around Alar,and established a greenhouse environmental prediction model with a combined PCA-GAPSO-LSSVM algorithm to test the stability of the greenhouse monitoring system and achieve more accurate greenhouse environmental control.The main work of this study is as follows.(1)The intelligent monitoring system of flower greenhouse is designed and implemented based on IOT technology.In this study,a low-cost intelligent flower monitoring system is proposed by combining ZigBee technology and wireless communication technology.The system consists of two parts,an upper computer and a lower computer,which is mainly responsible for monitoring,managing,warning and remote control of environmental information.The lower computer includes two communication networks,one is responsible for acquisition,transmission and control command execution.The other is responsible for communicating with the upper computer,building a ZigBee LAN,aggregating environmental monitoring node data and sending control commands.At the same time,the system introduces edge computing at the main control device side,which can realize fully automatic regulation and control of environmental control devices under the condition of poor network communication.(2)Mobile phone APP design and cloud server construction.The upper computer control terminal includes the user’s cell phone APP terminal and Web terminal,the cell phone App is convenient for the user to view the greenhouse monitoring system operation status at any time and anywhere,and can set the greenhouse greenhouse environmental parameters threshold,when the greenhouse environmental parameters exceed the threshold range will receive the equipment alarm signal,there are manual and automatic two regulation methods.The web terminal can query the greenhouse’s timely and historical environmental data,and download and analyze the environmental data as needed.The cloud server is built with One NET cloud server.The cloud platform can store and display the uploaded data of the greenhouse monitoring system and control the equipment in the greenhouse.(3)Build greenhouse environment prediction model.The combined PCA-GAPSO-LSSVM algorithm is used to predict the greenhouse environment data,and the best-fit solution is selected through comparison analysis to achieve accurate control of the greenhouse environment.Firstly,the main meta-factors affecting the predicted objects are selected as the input variables of the prediction model by PCA.Secondly,the regularization parameter gam of LSSVM and the parameter sig2 of RBF function are optimized by GAPSO genetic particle swarm combination algorithm to establish the nonlinear prediction model of the prediction object and the principal element factor.Finally,by comparing and analyzing the three algorithms of PSO,CPSO and GAPSO,the improved algorithm of GAPSO with better fit,shorter iterations and better prediction effect is selected,and the goodness of fit is below 3%.The field test and experimental analysis show that the monitoring and control system is fully functional,lower cost,and basically perfect in automatic regulation and control.The flower greenhouse intelligent monitoring system based on ZigBee designed in this study has been run in the flower greenhouse of the University’s horticultural experiment station for trial,and the system is now running stably,with timely data collection and uploading for greenhouse environment and high stability.The greenhouse environment prediction model has small error and high accuracy,which provides an algorithmic basis for accurate environmental data regulation,and this system is highly scalable.