福建电脑2025，Vol.41Issue(1)：54-59,6.DOI:10.16707/j.cnki.fjpc.2025.01.009
多变量因果驱动的水污染溯源方法研究
Tracing Water Pollution Sources via Multi-Source Data Integration and Analysis
摘要
Abstract
To meet the demand for rapid tracing of water pollution,this article proposes a multivariate causal driven water pollution tracing technology solution.Firstly,knowledge graph technology and causal analysis technology are applied to construct a knowledge network,and abnormal features are analyzed by combining data and knowledge.Then,time series anomaly methods are used to analyze the pollution event chain,achieving dynamic monitoring of the watershed and traceability of water pollution.The experimental results indicate that the proposed solution can provide high-quality and efficient anomaly analysis services,which can provide strong support for intelligent management of rivers and lakes.关键词
知识图谱/水污染/溯源技术/因果分析Key words
Knowledge Graph/Water Pollution/Tracing Technology/Causal Analysis分类
信息技术与安全科学引用本文复制引用
郑楚飞..多变量因果驱动的水污染溯源方法研究[J].福建电脑,2025,41(1):54-59,6.
