一种基于无线传感器网络的猪舍环境数据融合算法  

A Fusion Algorithm for Piggery Environmental Data Based on Wireless Sensor Networks

作　　者：刘志豪 荣丽红 李娟[1] 徐文龙 仝志民 LIU Zhihao;RONG Lihong;LI Juan;XU Wenlong;TONG Zhimin(College of Mechanical and Electrical Engineering,Qingdao Agricultural University,Qingdao 266109,China)

机构地区：[1]青岛农业大学机电工程学院,山东青岛266109

出　　处：《青岛农业大学学报(自然科学版)》2025年第1期65-71,78,共8页Journal of Qingdao Agricultural University(Natural Science)

基　　金：青岛农业大学博士启动基金(1122031);黑龙江省人才培育计划项目(XDB201815);国家自然科学基金(32073029);山东省自然科学基金重点项目(ZR2020KC027)。

摘　　要：在智能化养殖背景下,针对猪舍环境数据融合精度不高的问题,提出了一种基于无线传感器网络的新型数据融合算法。首先对猪舍环境数据进行卡尔曼滤波估计,然后将估计值和测量值发送到头节点进行一致性分析和加权数据融合,最后将头节点的集群数据融合值发送给汇聚节点,并基于一致性分析,在汇聚节点上对不同头节点的集群数据融合值进行加权数据融合。通过实例试验验证,该算法能在保证猪舍环境湿度测量精度的前提下,利用自适应多速率测量模式减少无线湿度传感器的数据传输量和能量消耗。Under the background of intelligent aquaculture,a new data fusion algorithm based on wireless sensor networks was proposed to improve the accuracy of environmental data fusion for piggeries.Firstly,the piggery environmental data was estimated by the Kalman filter.The estimated values and measured values were sent to the head nodes for consistency analysis and weighting data fusion.Cluster data fusion values at different head nodes were sent to the sink node and then weighted at the sink node based on consistency analysis.Through experimental examples,it was verified that the proposed algorithm could reduce data transmission and energy consumption of wireless humidity sensors in the self-adaption multi-rate measurement mode when the accuracy of piggery environmental humidity measurement was ensured.

关 键 词：猪舍环境湿度 无线传感器网络 多速率测量 数据融合 

分 类 号：TP274.5[自动化与计算机技术—检测技术与自动化装置] S828[自动化与计算机技术—控制科学与工程]