基于大数据的区域水资源可持续承载力预测系统设计  

Design of regional water resource sustainable carrying capacity prediction system based on big data

作　　者：郭亮 GUO Liang(Institutes of Water Resources,Heilongjiang Province Hydraulic Research Institute,Harbin 150000,China)

机构地区：[1]黑龙江省水利科学研究院水资源研究所,黑龙江哈尔滨150000

出　　处：《现代电子技术》2020年第9期117-121,共5页Modern Electronics Technique

摘　　要：针对传统的区域水资源可持续承载力预测系统耗时长、预测结果准确率低的问题,引用大数据技术设计一种新的区域水资源可持续承载力预测系统。由总控层、分系统功能层、子系统功能层和系统支撑功能层四部分组成系统硬件,同时,引入实时监测模块、信息管理模块、决策支持模块以及远程控制模块。利用显示按钮和退出按钮设计软件显示界面,通过系统初始化,样本数据读取,样本内部零矩阵定义,计算各个指标比重以及水资源可持续承载力输出等步骤组成软件流程。为检测系统效果,与传统预测系统进行实验对比,结果表明,基于大数据设计的区域水资源可持续承载力预测系统可在短时间内精准地完成预测工作。Since the traditional regional water resource sustainable carrying capacity prediction system is time-consuming and the prediction accuracy is low,a new regional water resource sustainable carrying capacity prediction system is designed based on the big data technology.The system hardware consists of four parts,named the general control layer,the sub-system function layer,the subsystem function layer and the system support function layer.In addition,the real-time monitoring module,the information management module,the decision support module and the remote control module are adopted.The design of software display interface is realized by the display button and the exit button.The system software process includes system initialization,sample data reading,definition of sample internal zero matrix,proportion calculation of each index and output of water resource sustainable carrying capacity.The proposed system is compared with the traditional prediction system to detect the system effect.The results show that the designed regional water resource sustainable carrying capacity prediction system based on the big data can accurately achieve prediction in a short time.

关 键 词：可持续承载力预测系统 区域水资源治理 系统软件设计 系统硬件设计 系统模块设计 预测效果对比 

分 类 号：TN98-34[电子电信—信息与通信工程] TV213.9[水利工程—水文学及水资源]