基于大数据的煤矿云联网监控系统的设计与实现  

Design and Implementation of Cloud Network Monitoring System forCoal Mine Based on Big Data

作　　者：亿吉 钟本源 YI Ji;ZHONG Ben-yuan(College of Coal Engineering,Shanxi Datong University,Datong 037003,China)

机构地区：[1]山西大同大学煤炭工程学院,山西大同037003

出　　处：《机械工程与自动化》2023年第3期168-170,175,共4页Mechanical Engineering & Automation

基　　金：山西大同大学2022年研究生教育创新项目(22CX54)。

摘　　要：研究的煤矿安全生产云联网监控系统运用了云计算和大数据的技术成果,将现有井上、井下各类监测系统组成多网融合的平台,设计上层数据软件平台,对系统的整体架构方案进行研究,研发系统数据接口,实现多系统数据的采集、上传与融合,搭建安全生产数据云联网存储平台,使生产和决策更加科学化,向煤炭开采的少人化和无人化过渡,为实现智慧矿山奠定了基础。The coal mine safety production cloud network monitoring system studied in this paper uses the technical achievements of cloud computing and big data to form the existing above-well and underground monitoring systems into a multi-network fusion platform,designs the upper-level data software platform,studies the overall architecture of the system,develops the system data interface,realizes the collection,uploading and integration of multi-system data,builds a cloud network storage platform for safe production data,makes production and decision-making more scientific,transitions to less humanization and unmanned coal mining,and lays the foundation for the realization of intelligent mine.

关 键 词：煤矿安全生产 大数据 云联网监控系统 云计算 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]