基于决策树挖掘算法的水利工程信息化管理数据共享系统设计  

Design of Data Sharing System for Hydraulic Engineering Information Management Based on Decision Tree Mining Algorithm

作　　者：田晓敏 熊斌 TIAN Xiaomin;XIONG Bin(Hubei Hanjiang Wangfuzhou Hydropower Co.,Ltd.,Xiangyang,Hubei 441800,China)

机构地区：[1]湖北汉江王甫洲水力发电有限责任公司,湖北襄阳441800

出　　处：《移动信息》2024年第10期60-62,共3页Mobile Information

摘　　要：当前,水利工程信息化管理面临着数据共享困难、分析决策效率低等挑战。文中利用决策树挖掘算法,设计了一种水利工程信息化管理数据共享系统。该系统采用模块化设计,包括数据采集与预处理、决策树挖掘、数据共享与交互、决策支持与管理等模块,并综合应用物联网、边缘计算、高性能计算、可视化等技术,实现了水利工程数据的高效采集、智能分析、实时共享和科学决策。仿真实验结果表明,该系统能有效处理大规模水利工程数据,提供精准的管理决策支持,具有良好的性能和应用前景。At present,the information management of water conservancy projects is facing challenges such as difficult data sharing and low efficiency of analysis and decision-making.This paper uses decision tree mining algorithm to design a data sharing system for information management of water conservancy projects.The system adopts modular design,including data collection and preprocessing,decision tree mining,data sharing and interaction,decision support and management modules,and comprehensively applies Internet of Things,edge computing,high-performance computing,visualization and other technologies to realize efficient collection,intelligent analysis,real-time sharing and scientific decision-making of water conservancy engineering data.Simulation results show that the system can effectively process large-scale water conservancy project data,provide accurate management decision support,and has good performance and application prospects.

关 键 词：水利工程 信息化管理 数据共享 决策树挖掘算法 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]