基于卡尔曼滤波算法的菠萝育苗光照强度监测系统

doi:10.13733/j.jcam.issn.2095-5553.2023.12.017

摘要/Abstract

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1s。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。

关键词: 菠萝育苗, 光照强度, 监测系统, 卡尔曼滤波

Abstract: 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.

Key words: pineapple seedling, light intensity, monitoring system, Kalman filter

中图分类号:

TP274+

薛忠, 吕建骅, 李明, 何子明, 林铭研, 王润涛. 基于卡尔曼滤波算法的菠萝育苗光照强度监测系统[J]. 中国农机化学报, 2023, 44(12): 107-112.

Xue Zhong, Lü Jianhua, Li Ming, He Ziming, Lin Mingyan, Wang Runtao. Light intensity monitoring system for pineapple seedling based on Kalman filter algorithm[J]. Journal of Chinese Agricultural Mechanization, 2023, 44(12): 107-112.

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