基于农业电气自动化的大棚智能控温系统设计  

The Intelligent Temperature Control System Design for Greenhouse Based on Agricultural Electrical Automation

作　　者：杨龙 Yang Long(Intelligent Control College,Gansu Institute of Mechanical and Electrical Engineering,Tianshui 741000,China)

机构地区：[1]甘肃机电职业技术学院智能控制学院,甘肃天水741000

出　　处：《农机化研究》2024年第1期116-119,125,共5页Journal of Agricultural Mechanization Research

基　　金：甘肃省高等学校创新基金项目(2021A-295)。

摘　　要：为了实现大棚温度的精确控制,基于数据融合与模糊控制技术,设计了智能温控系统。温度数据融合包括异常数据剔除、节点内数据融合与节点间数据融合,最终输出大棚温度表征量。模糊温度控制输入量为大棚温度表征量及其与设置值的偏差量,输出为温度调控设备控制信号。对系统中温度数据融合性能进行测试,结果表明:该方法优于平均值法;对温度控制性能进行测试,结果表明系统介入后温度相对偏差区间为[-2.5%,3.5%]。In order to achieving precise control for greenhouse temperature,this system was designed based on data fusion and fuzzy control.Temperature data fusion includes eliminating abnormal data,intra node data fusion and data fusion between nodes,and then,the temperature characterization for greenhouse was output.In fuzzy temperature control,the temperature characterization for greenhouse and the deviation value between temperature setpoint and temperature characterization were taken as input,and temperature control equipment control signal was taken as output.The test was taken for temperature data fusion,the result showed that this method was superior to the average method;The test was taken for temperature controllability,the result showed that temperature relative deviation range was[-2.5%,3.5%]after system intervention.

关 键 词：大棚 数据融合 温度模糊控制 温度调控 

分 类 号：S625.5[农业科学—园艺学]