摘要
猪舍作为典型多参数共存的复杂环境,难以建立精确的数学模型进行有效的监控。为此,提出了一种采用PID算法的物联网生猪监管养殖系统。该系统采用积分分离型的PID算法,通过将实时值与用户值的偏差跟安全阈值进行比对获取PID算法模式(离散型和积分分离型),输出反馈调节量来启、停养殖设备,从而完成生猪自动化养殖。将2种PID算法进行对比,结果表明:积分分离型PID算法能使智慧猪栏系统具有良好的精确性和稳定性,能够高效完成自动化生猪养殖工作。
It is difficult to establish accurate mathematical model for effective monitoring because the piggery is a complex environment with typical multi-parameter coexistence.In view of the above situation,a kind of PID algorithm iot second-pollution regulatory system is put forward.The system adopts the integral separation PID algorithm,through the real value and the user value of deviation and compares the safety threshold algorithm model,output feedback control quantity to stop farming equipment for automatic breeding,breeding complete automation.Comparing the two kinds of PID algorithm,the intelligent pigsty system with the integral separation PID algorithm system has a good accuracy and stability,can efficiently complete the automation pig breeding work.
作者
张超
刘波
ZHANG Chao;LIU Bo(Information Science and Technology College of Hunan Agricultural University, Changsha 410128, PRC;Hunan Engineering Technology Research Center of Agricultural & Rural Information, Changsha 410128, PRC)
出处
《湖南农业科学》
2018年第2期89-94,共6页
Hunan Agricultural Sciences
基金
湖南省制造强省专项资金(2017209)
湖南省科技厅重点项目(2015NK2145
2016NK2118)
湖南农业大学团委科技创新立项项目(自科类2016ZK15
2017ZK25)
关键词
积分分离PID算法
智慧猪栏
生猪养殖
农业物联网
Django框架
integral separation PID controller
intelligent pigsty system
pig breeding
agricultural internet of things
Django Framework
