基于物联网的花卉大棚模糊智控系统设计

Design of an Fuzzy Intelligent Control System for Flower Greenhouse Based on IOT

花卉大棚的大气温湿度、光照强度、CO2浓度、土壤水分参数直接影响花卉的产量与质量。该文以Zig Bee网络、嵌入式控制器、3G网络为核心设计出的监控系统可实现各参数智能调节。传感器电路设计主要采用数字模块传感器,具有高精度和高稳定性等显著优点,为节约能耗,传感器电路由继电器开关控制适时工作。网关节点采用高性能的32位嵌入式控制器进行设计,并自行定制出Win CE6.0嵌入式操作系统,为有效管理数据在Win CE6.0上实现嵌入式SQlite数据库,采用模糊算法实现闭环控制。测试结果表明,大气温度偏差控制在±0.6℃范围内,大气湿度偏差控制在±1.4%范围内,光照强度偏差控制在±282 lx范围内,CO2浓度偏差控制在±28 ppm范围内,土壤水分偏差控制在±0.8%范围内,各参数完全满足花卉大棚使用需求。

The parameters of flower greenhouse including atmospheric temperature and humidity, illumination intensity ,car-bon dioxide（CO2）concentration and soil water content have direct influences on yield and quality of flowers. The monitoringsystem designed in this paper with ZigBee network, embedded controller and 3G network as cores can realize intelligent ad-justment of each parameter.With advantages of high precision and stability ,the design of sensor circuit mainly employs dig-ital module sensors.In order to save energy,the sensor circuit is controlled by relay switch to work at the proper time. Thegateway node is designed by employing high performance 32-digit embedded controller and WinCE6.0 embedded OS is selfcustomized. And embedded SQlite database is realized on WinCE6.0 for effectively managing data. The closed loop controlis realized by employing fuzzy algorithm and the test result shows that the deviation of atmospheric temperature is controlledwithin ±0.6℃ ,the deviation of atmospheric humidity is controlled within ±1.4% ,the deviation of illumination intensity iscontrolled within ±282 lx,the deviation of CO2 concentration is controlled within ±28 ppm and that of soil water content iscontrolled within ±0.8% ,thus all parameters fully meet practical requirements of flower greenhouse.