基于物联网的矿山机械设备状态智能感知与诊断  

Intelligent perception and diagnosis of mining machinery equipment status based on the Internet of Things

作　　者：范亦铭 FAN Yi-ming(Beijing Research Institute of Chemical Engineering Metallurg,Beijing 101100,China)

机构地区：[1]核工业北京化工冶金研究院,北京101100

出　　处：《世界有色金属》2024年第20期32-34,共3页World Nonferrous Metals

摘　　要：随着物联网技术的发展,矿山机械设备的状态智能感知与诊断已成为研究的热点之一。本文旨在探讨基于物联网的矿山机械设备状态智能感知与诊断的关键技术和应用前景,探析物联网技术在矿山领域的应用现状,重点讨论矿山机械设备状态智能感知的关键技术,包括传感器技术、数据采集与传输技术以及数据处理与分析技术,深入探讨基于物联网的矿山机械设备状态诊断的方法与策略,并结合实际案例展示了其应用效果。With the development of Internet of Things technology,intelligent perception and diagnosis of the state of mining machinery and equipment has become one of the research hot spots.This article aims to explore the key technologies and application prospects of intelligent perception and diagnosis of mining machinery equipment status based on the Internet of Things,explore the current application status of Internet of Things technology in the mining field,focus on discussing the key technologies of intelligent perception of mining machinery equipment status,including sensor technology,data acquisition and transmission technology,and data processing and analysis technology.It deeply explores the methods and strategies of mining machinery equipment status diagnosis based on the Internet of Things,and demonstrates its application effects through practical cases.

关 键 词：物联网 矿山机械设备 智能感知 状态诊断 

分 类 号：TD407[矿业工程—矿山机电]