智能矿山大数据采集与云传输研究与应用  

Research and Application of Big Data Collection and Cloud Transmission of Intelligent Mines

作　　者：赵奕[1] 何煦春[1] 张维国 石磊 韦永兰[1] 丁涛[1] 马文利[1] ZHAO Yi;HE Xuchun;ZHANG Weigao;SHI Lei;WEI Yonglan;DING Tao;MA Wenli

机构地区：[1]中国恩菲工程技术有限公司,北京100038

出　　处：《中国矿山工程》2022年第3期11-19,共9页China Mine Engineering

基　　金：“基于大数据的金属矿山开采装备智能管控技术研发与示范”课题一:金属矿山开采过程及装备数据智能采集与融合技术。

摘　　要：本文针对金属矿山井下开采区域的复杂作业环境和多源、异构、分级、跨域信息环境,突破工业互联网低带宽数据稳定传输及安全稳定穿透、多源异构数据融合等技术的瓶颈,研究了基于边缘计算的金属矿山多维数据采集与云传输方法,构建了金属矿山数据采集智能代理与分布式系统,为金属矿山开展基于大数据的智能管控技术研发提供了完整的数据层面支持,为金属矿山开采过程及装备数据的采集与云传输提供了有效解决研究。According to the complex operation environment and multi-source, heterogeneous, hierarchical and cross-domain information environment in the underground mining areas of metal mines, this paper breaks through technological bottlenecks including stable transmission of low bandwidth data of industrial Internet, safe and stable penetration, multi-source and heterogeneous data fusion, etc., studies the method of multi-dimensional data collection and cloud transmission in metal mines based on edge computing and builds an intelligent agent and distribution system for data collection of metal mines. It provides complete data support for research and development of intelligent management and control technology for metal mines based on big data and offers effective solution for research on mining process and equipment data collection and cloud transmission of metal mines.

关 键 词：智能矿山 大数据 数据智能代理 云传输 

分 类 号：TD672[矿业工程—矿山机电]