摘要
目前,我国煤炭运输主要采用带式运输机,皮带运输是煤矿生产中重要的环节,直接影响煤矿的生产安全和生产效益。我国煤矿生产经历了从动力化、机械化、信息化到智能化的发展转变,目前煤矿生产转型升级正处于智能化阶段。智慧矿山建设要求实现安全、无人、高效、绿色生产,对智能化升级提出了新要求。研究对煤矿带式输送机运行状态智能化识别技术进行回顾与论述,提出基于计算机视觉技术识别带式输送机运行状态的实现方法,并对未来发展方向进行展望。
At present,the belt conveyor is mainly used in coal mine production in China.The belt conveyor,an important part of the whole coal mine production process,directly affects the production safety and effi⁃ciency of coal mines.China's coal mine production has experienced the development and transformation from motorization,mechanization,and informatization to intelligentialization.At present,the coal mine production process is transformed and upgraded into the initial stage of intelligence.The construction of intelligent mine requires safe,unmanned,efficient,and green coal mine production,and has new requirements for intelligent upgrading.This paper mainly reviews and discusses the intelligent recognition technology of the running state of the belt conveyor in coal mines,puts forward an implementation method based on the computer vision technology,and finally looks forward to the future development direction.
作者
武岳
乔旭
WU Yue;QIAO Xu(International School,Beijing University of Posts and Telecommunications,Beijing,100876;School of Artificial Intelligence,China University of Mining and Technology(Beijing),Beijing,100083)
出处
《能源科技》
2025年第1期21-25,共5页
Energy Science and Technology
基金
中国矿业大学(北京)国家重点研发计划:露天转地下开采典型灾害事故风险防控关键技术及示范(2024YFC3013900)。
关键词
带式输送机
智能识别
计算机视觉
研究进展
Belt conveyor
intelligent recognition
computer vision
research progress
作者简介
武岳(1989-),男,硕士,工程师,现任职于北京邮电大学国际学院,主要从事教学和科研工作。Tel:18911815826,E-mail:wwwuyue@bupt.edu.cn。
