摘要
多传感器数据融合技术能够整合不同传感器信息,并采用数据融合技术使目标信息获取更加高效全面。为了提高数据融合效果,提出融合优化算法模型设计方法,结合动态权重分配、注意力机制与冲突消解策略,并设计实验评估优化算法性能。实验结果表明,提出的优化算法具有更好的融合性能,能够实现更加准确、可靠的监测和预测。
Multi-sensor data fusion technology can integrate different sensor information,and use data fusion technology to make the target information acquisition more efficient and comprehensive.In order to improve the effect of data fusion,the model design method of fusion optimization algorithm is proposed,combining dynamic weight allocation,attention mechanism and conflict resolution strategy in the algorithm,and designed to evaluate the performance of the optimization algorithm.The experimental results show that the proposed optimization algorithm has better fusion performance and can achieve more accurate and reliable monitoring and prediction.
作者
刘裕灿
LIU Yucan(Dongming County Medical Security Bureau,Heze,Shandong 274500,China)
出处
《智能物联技术》
2025年第2期33-36,共4页
Technology of Io T& AI
关键词
物联网
多传感器
数据融合
优化算法
Internet of Things
multi-sensor
data fusion
optimization algorithm
作者简介
刘裕灿(1989-),男,山东菏泽人,硕士研究生,工程师,主要研究方向为信息工程。
