江淮水利科技Issue(1)：36-40,5.DOI:10.20011/j.cnki.JHWR.202501006
基于D-S证据理论的水闸安全监测数据融合
Research on data fusion of sluices safety monitoring based on DS evidence theory
摘要
Abstract
In order to analyze the working status of the sluices from the perspective of monitoring data,this paper took the safety monitoring data of sluices as the research object,adopted the DS evidence theory method.Taking the sluices effect mon-itoring data as the underlying evidence,the identification framework corresponding to the sluices safety category is established.The basic probability value is given by combining data analysis and expert experience.The support,trust and fusion coefficient of each effect are calculated by Matlab programming,and the fusion value is finally obtained.Applied to a certain sluice in the middle reaches of the Huaihe river,the normalized fusion value of normal,basically normal,abnormal,abnormal,and uncertain states are 0.855,0.087,0,0,and 0.058.According to the recognition framework,it is determined that the sluice is in a normal state,which is consistent with the conclusion of the sluice safety evaluation report.The research results can provide some theo-retical support for solving the data fusion analysis of sluices safety monitoring.关键词
数据融合/安全监测/水闸/D-S证据理论Key words
data fusion/safety monitoring/sluice/DS evidence theory分类
水利科学引用本文复制引用
孙小冉,彭建和,张春林,张文斌..基于D-S证据理论的水闸安全监测数据融合[J].江淮水利科技,2025,(1):36-40,5.基金项目
安徽省自然科学基金资助项目(2208085US17) （2208085US17）
