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基于5G的智慧物流与矿用巡检机器人协同管理研究及应用 被引量:1

Research and Application of Collaborative Management of Intelligent Logistics and Mining Inspection Robots Based on 5G
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摘要 在国家发改委积极促进智慧物流发展和矿井智能化建设的背景下,“5G+智慧物流”的模式在“十四五”期间层出不穷。为解决矿山人工巡检的不安全和矿下运输的调度困难等问题,文中提出了一种基于5G技术,以中枢调度系统为信息处理中心,实现智能巡检机器人和物流设备的协同管理的研究方案。这一方案旨在深入研究基于5G的智慧物流与矿用巡检机器人协同管理技术,使矿山巡检更加智能化,提高巡检的安全性和效率。并通过中枢调度系统的集中管理,实现矿山内部物流的精准调度和协同运作,为矿山行业提供创新的解决方案,促进矿山行业的科技创新和安全生产,从而推动矿山行业迈向更加智能化、高效化和可持续发展的未来。 In the context of the National Development and Reform Commission actively promoting the development of intelligent logistics and the intelligent construction of mines,the model of“5G+intelligent logistics”has emerged during the 14th Five-Year Plan period.In order to solve the problems of unsafe manual inspection and precise scheduling of underground transportation,this paper proposes a research solution which takes the central scheduling system as the information processing center to realize the cooperative management of intelligent inspection robots and logistics equipment based on 5G technology.This scheme aims to deeply study the 5G-based collaborative management technology of intelligent logistics and mining inspection robots,so as to make mine inspection more intelligent and improve the safety and efficiency of inspection.And through the centralized management of the centralized dispatching system,to realize the accurate dispatching and collaborative operation of the internal logistics of the mine,provide innovative solutions for the mining industry,promote technological innovation and safe production in the mining industry,so as to push the mining industry towards a more intelligent,efficient and sustainable future.
作者 叶晨璐 曾喜宇 李志峰 王松 熊超 YE Chen-lu;ZENG Xi-yu;LI Zhi-feng;WANG Song;XIONG Chao(College of Computer,Hunan University of Technology and Business,Changsha 410205;College of Frontier Cross,Hunan University of Technology and Business,Changsha 410205;College of Digital Media and Humanities,Hunan University of Technology and Business,Changsha 410205,China)
出处 《物流工程与管理》 2023年第10期29-32,42,共5页 Logistics Engineering and Management
基金 湖南省社会科学基金项目:全要素生产率视角下物流产业效率的时空演化及机制研究(22JD045) 湖南省教育厅科学研究项目:数字创新驱动平台型企业的价值共创实现机理与路径研究(21A0383) 2022年度湖南省大学生创新创业训练计划项目:基于多照片转模型的3D建模算法研究(S200210554005S)。
关键词 智慧物流 巡检机器人 5G 智能化 矿山巡检 intelligent logistics inspection robot 5G intelligence mining inspection
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