摘要
针对洱海水质检测方法的局限性,提出基于证据理论多传感器信息融合处理的水质检测方法.首先通过无线传感器网络收集水质实况数据,然后用证据理论对收集数据进行实时融合,最终对融合数据进行判决.仿真结果表明,该方法可以准确的检测分析水质情况,所提供的算法感知性能较为稳定,且受样本中极端情况以及设备问题的影响较小.
In view of the limitation of the existing water quality detection methods for Erhai lake, a water quality detection method based on the evidence theory of multi - sensor information fusion is proposed. First, the water quality data are collected through the wireless sensor network, and then the collection data are fused in real time by the evidence theory. Finally, the fusion number is assessed. The simulation results show that the method can detect and analyze the water quality accurately. The proposed algorithm has a relatively stable perception performance, and is less affected by the extreme value of the sample and the equipment problem.
作者
唐菁敏
徐春龙
TANG Jing-min;XU Chun-long(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China)
出处
《云南民族大学学报（自然科学版）》
CAS
2018年第5期417-421,共5页
Journal of Yunnan Minzu University:Natural Sciences Edition
基金
国家自然科学基金(KKGD201703059)
2014年大学生创新创业项目
关键词
水质监测
证据理论
数据融合
water quality monitoring
evidence theory
data fusion
