基于数据融合技术的水体生态智能监测与预警系统构建  

Construction of water ecological intelligent monitoring and early warning system based on data fusion technology

作　　者：张毅 李宝智 王贵玲 ZHANG Yi;LI Bao-zhi;WANG Gui-ling(Guangdong Polytechnic of Environmental Protection Engineering,Foshan 528216,China)

机构地区：[1]广东环境保护工程职业学院,广东佛山528216

出　　处：《环境生态学》2025年第1期142-147,共6页Environmental Ecology

基　　金：广东高校科研平台项目(重点领域专项)(2021ZDZX1099);广东省普通高校特色创新类项目(2024KTSCX392);广东环境保护工程职业学院院长基金项目(J421422012312)资助。

摘　　要：随着信息技术的发展,需要不断创新和优化监测技术和方法,提高环境监测工作的质量和效率。为此,本研究设计了一种基于数据融合技术的水体生态智能监测与预警系统,旨在实现水质的实时监控和风险预警。该系统通过集成遥感影像、水质传感器网络和水文气象数据等多源信息,利用多源数据融合算法提高监测的精准性和时效性。同时,引入了自适应神经模糊推理系统(ANFIS)以增强对水环境变量相互作用的认识,并结合深度学习网络进行数据的模式识别,从而实现水质变化趋势的实时分析和风险预警。实验表明,该系统在多种水体中的监测效果显著,对特定污染物的检测准确率超过95%。这一成果不仅为水环境管理提供了新技术,也为其他环境监测领域的方法创新提供了借鉴。With the development of information technology,it is necessary to continuously innovate and optimize monitoring technologies and methods to improve the quality and efficiency of environmental monitoring work.Therefore,an intelligent monitoring and early-warning system of water ecology based on data fusion technology is designed in this study,which aims to realize real-time monitoring and risk early-warning of water quality.The system integrates multi-source information such as remote sensing images,water quality sensor networks,and hydrological and meteorological data,and utilizes multi-source data fusion algorithms to improve the accuracy and timeliness of monitoring.At the same time,the Adaptive Neural Fuzzy Inference System(ANFIS)was introduced to enhance the understanding of the interaction between water environment variables,and combined with deep learning networks for pattern recognition of data,thereby achieving real-time analysis of water quality change trends and risk warning.Experimental results have shown that the system has significant monitoring effects in various water bodies,with an accuracy rate of over 95%for detecting specific pollutants.This achievement not only provides new technologies for water environment management,but also provides reference for innovative methods in other environmental monitoring fields.

关 键 词：数据融合技术 水体监测 预警系统 多源数据融合算法 自适应神经模糊推理系统 

分 类 号：X832[环境科学与工程—环境工程] X835