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多变量因果驱动的水污染溯源方法研究OA

Tracing Water Pollution Sources via Multi-Source Data Integration and Analysis

中文摘要英文摘要

为满足水污染快速溯源的需求,本文提出一个多变量因果驱动的水污染溯源技术方案.首先应用知识图谱技术和因果分析技术构建知识网络,并结合数据与知识分析异常特征,然后采用时间序列异方法分析污染事件链,实现流域动态监管和水污染溯源功能.实验的结果表明,本文方案能够提供优质高效的异常分析服务,可为河湖智能管理提供有力支撑.

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.

郑楚飞

四创科技有限公司 福州 350100

计算机与自动化

知识图谱水污染溯源技术因果分析

Knowledge GraphWater PollutionTracing TechnologyCausal Analysis

《福建电脑》 2025 (1)

54-59,6

10.16707/j.cnki.fjpc.2025.01.009

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