数据融合在水产养殖监控系统中的应用  

Application of data fusion in an aquaculture supervisory system

作　　者：缪新颖[1] 邓长辉[1] 高艳萍[1] 

机构地区：[1]大连水产学院信息工程学院,辽宁大连116023

出　　处：《大连水产学院学报》2009年第5期436-438,共3页Journal of Dalian Fisheries University

基　　金：辽宁省教育厅高等学校科研计划项目(2008150);大连市科研计划项目(2008B11NC015)

摘　　要：在水产养殖监控系统中,为了提高测量精度往往进行多点测量。本研究中作者给出了监控系统的构成,在多点采集的基础上,首先采用分布图法剔除疏失误差,然后采用自适应加权数据融合算法对采集数据进行融合。测量数据和分析结果表明,处理后的数据精度大大提高。The multi-point measurement was used in aquaculture supervisory system to improve the accuracy.The architecture of the system was proposed,and some algorithms were put forward.Distribution diagram method was adopted to wipe off the careless errors.The adaptive weighted fusion algorithm was applied to the collected values.The experiments showed that the accuracy of the data was improved greatly by the fusion method.

关 键 词：传感器 精度 疏失误差 数据融合 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]