水文水资源监测数据自动化整编技术研究
Research on Automation Compilation Technology of Hydrological and Water Resource Monitoring Data
郑小乐1
作者信息
摘要
文章深入探讨了水文水资源监测数据的自动化整编技术,旨在强调现代科技在处理、解析和预测复杂水文数据中的关键作用.研究首先回顾了传统的数据整编方法,并对其在处理大规模和多源数据时的局限性进行了分析.随后,论文重点介绍了几种现代自动化技术,如机器学习、深度学习、大数据技术、云计算和边缘计算,并深入探讨了在数据整编中的应用,提高了数据处理的效率和准确性,还为更好的决策支持和实时响应提供了可行性.
Abstract
This paper delves deeply into the automation compilation technology of hydrological and water resource monitoring data,aiming to emphasize the pivotal role of modern science and technology in processing,interpreting,and forecasting intricate hydrological data.Initially,the study revisits conventional data compilation methodologies and analyzes their limitations in handling large-scale and multi-source data.Subsequently,the paper elaborates on several modern automation technologies,including machine learning,deep learning,big data techniques,cloud computing,and edge computing,and extensively discusses their application in data compilation.These technologies not only enhance the efficiency and accuracy of data processing,but also offer viability for better decision-making support and real-time response.
关键词
水文水资源/监测数据/自动化/信息融合/整编技术Key words
hydrology and water resources/monitoring data/automation/information fusion/compilation techniques引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据