摘要
传统搭载在物理机上的开采沉陷监测数据处理系统速度慢,效率低;现行系统中数据处理、成果资料展现和成果提交滞后。研究在云平台上建立数据处理系统,对于实现沉陷监测数据在云端上及时处理,成果资料及时展现、分享具有实际意义。改进了现有的软件处理系统和数据库系统,从总体架构、项目流程、功能实现方三面,搭建云平台系统框架,并跟进项目数据积累产生的新变化和新需求,为形变监测云平台研发提供参考。
The traditional mining subsidence monitoring data processing system carried on the physical machine is slow and inefficient;the data processing,the results data presentation and the result submission are lagging behind in the current system.It is of practical significance to establish a data processing system on the cloud platform to realize timely processing of subsidence monitoring data in the cloud and timely presentation and sharing of the results.This paper improves the existing software processing system and database system,from the overall structure,project procedures,function realization,the cloud platform system framework is constructed,and new changes and new demands caused by the project data accumulation is followed up.This study provides a reference,for the deformation monitoring cloud Platform development.
作者
彭小强
池深深
石长伟
陈卫卫
陈佩文
PENG Xiaoqiang;CHI Shenshen;SHI Changwei;CHEN Weiwei;CHEN Peiwen(School of Geomatics Anhui university of science and technology, Huainan Anhui 232001, China;Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan Anhui 232001, China;Henan Yubei Water Conservancy Survey and Design Institute Co. LTD.,Henan Anyang 455000, China)
出处
《安徽理工大学学报（自然科学版）》
CAS
2020年第3期39-45,共7页
Journal of Anhui University of Science and Technology:Natural Science
基金
国家自然基金资助项目(41474026)
国家自然基金资助项目(41602357)
淮南矿业(集团)有限责任公司项目(HNKY-JTJS(2013)-28)。
关键词
开采沉陷监测
云平台
系统框架构建
数据库设计
功能实现
mining subsidence monitoring
cloud platform
system framework creation
database design
function realization
