基于卡尔曼滤波算法的菠萝育苗光照强度监测系统  

Light intensity monitoring system for pineapple seedling based on Kalman filter algorithm

作　　者：薛忠[1] 吕建骅 李明 何子明 林铭研 王润涛 Xue Zhong;LüJianhua;Li Ming;He Ziming;Lin Mingyan;Wang Runtao(South Subtropical Crops Research Institute,China Academy of Tropical Agricultural Sciences,Zhanjiang,524088,China;Lingnan Normal University,Zhanjiang,524048,China;Guangdong Zhanshu Big Data Co.,Ltd.,Zhanjiang,524003,China)

机构地区：[1]中国热带农业科学院南亚热带作物研究所,广东湛江524088 [2]岭南师范学院,广东湛江524048 [3]广东湛数大数据有限公司,广东湛江524003

出　　处：《中国农机化学报》2023年第12期107-112,共6页Journal of Chinese Agricultural Mechanization

基　　金：国家重点研发项目(2020YFD1000604、2020YFD1000605);中央公益性科研院所基本业务费“揭榜挂帅”项目(1630062022005);广东省现代农业产业技术体系创新团队建设专项资金(2022KJ109);广东省教育厅普通高校特色创新项目(2020KTSCX074);湛江市科学技术局科技计划项目(2020A04004)。

摘　　要：在菠萝育苗过程中,为降低光照强度监测误差及滞后性,设计基于卡尔曼滤波算法的光照强度监测系统。在构建LoRa无线通讯、嵌入式数据采集终端的基础上,开发具有显示、存储功能的可视化、在线监测软件界面,并提出卡尔曼滤波模型。通过对比试验,得出卡尔曼滤波模型优于加权递推平均滤波模型,其平均绝对误差不超过0.13%、均方根误差不超过0.16%、滞后时间不大于1 s。结果表明,该监测系统具有较低的误差和滞后性,对菠萝育苗的光照精准调控具有指导意义。In order to reduce the error and lag time of light intensity monitoring in the process of pineapple seedling growing,a light intensity monitoring system based on Kalman filter algorithm was designed.Based on the construction of LoRa wireless communication and embedded data acquisition terminal,a visual and online monitoring software interface with display and storage functions was developed,and a Kalman filter model was proposed.Through comparative experiments,it was concluded that the Kalman filter model was superior to the weighted recursive average filter model.The MAE percentage was not more than 0.13%,the RMSE percentage was not more than 0.16%,and the lag time was not more than 1 s.The results showed that the monitoring system had low error and lag time,which was of guiding significance for the precise regulation of light in pineapple seedling.

关 键 词：菠萝育苗 光照强度 监测系统 卡尔曼滤波 

分 类 号：TP274.5[自动化与计算机技术—检测技术与自动化装置]