• 中文核心期刊
  • 中国科技核心期刊
  • RCCSE中国核心学术期刊

矿井智能通风系统关键技术研究

张富凯, 孙一冉, 孙君顶, 袁 冠, 张海燕

张富凯, 孙一冉, 孙君顶, 袁 冠, 张海燕. 矿井智能通风系统关键技术研究[J]. 煤矿安全, 2023, 54(2): 46-53.
引用本文: 张富凯, 孙一冉, 孙君顶, 袁 冠, 张海燕. 矿井智能通风系统关键技术研究[J]. 煤矿安全, 2023, 54(2): 46-53.
ZHANG Fukai, SUN Yiran, SUN Junding, YUAN Guan, ZHANG Haiyan. Research on key technologies of mine intelligent ventilation system[J]. Safety in Coal Mines, 2023, 54(2): 46-53.
Citation: ZHANG Fukai, SUN Yiran, SUN Junding, YUAN Guan, ZHANG Haiyan. Research on key technologies of mine intelligent ventilation system[J]. Safety in Coal Mines, 2023, 54(2): 46-53.

矿井智能通风系统关键技术研究

Research on key technologies of mine intelligent ventilation system

  • 摘要: 实现矿井通风智能化是建设智能矿山的主要技术手段。针对目前通风系统调整失准、智能化水平低、预警信息不能反映到抢险救灾指挥中心等问题,提出一种矿井智能通风系统建设方案;该方案由井下监控设备和地面控制中心组成,旨在建立三维通风模拟与隐患智能识别平台,实现矿井通风数据实时动态分析、三维可视化展现以及安全预警与辅助决策;重点研究了通风监测大数据库、三维通风模拟、AI视频智能识别、预警及辅助决策、系统联动控制5个关键技术,详细阐述了各自的技术特征与实现方案。基于计算机软件开发技术、三维仿真技术以及人工智能技术设计并开发实现了矿井智能通风系统。
    Abstract: The realization of intelligent mine ventilation is the main technical means to build intelligent mines. Aiming at the problems of inaccurate adjustment of the ventilation system, low level of intelligence, and early warning information to be reflected in the emergency and disaster relief command center, a construction scheme of mine intelligent ventilation system was proposed. The scheme consists of underground monitoring equipment and a ground control center. It aims to establish a 3D ventilation simulation and intelligent identification platform for hidden dangers, and realize real-time dynamic analysis of mine ventilation data, 3D visualization, and safety early warning and auxiliary decision-making. Five key technologies of ventilation monitoring database, 3D ventilation simulation, AI video intelligent recognition, early warning and auxiliary decision-making, and system linkage control were studied in detail, and their technical characteristics and implementation plans were elaborated. Based on computer software development technology, 3D simulation technology and artificial intelligence technology, the mine intelligent ventilation system is designed and developed.
  • [1] 程晓之,王凯,郝海清,等.矿井局部通风智能调控系统及关键技术研究[J].工矿自动化,2021,47(9):18 -24.

    CHENG Xiaozhi, WANG Kai, HAO Haiqing, et al. Research on intelligent regulation and control system and key technology of mine local ventilation[J]. Industry and Mine Automation, 2021, 47(9): 18-24.

    [2] 谭章禄,吴琦,肖懿轩.煤矿通风安全信息可视化方式选择研究[J].煤矿安全,2018,49(12):86-89.

    TAN Zhanglu, WU Qi, XIAO Yixuan. Study on visualization options of coal mine ventilation safety information[J]. Safety in Coal Mines, 2018, 49(12): 86-89.

    [3] 魏连江,李胜,魏宗康,等.煤与瓦斯突出对矿井通风系统的影响研究现状及展望[J].煤炭科学技术,2021,49(3):100-105.

    WEI Lianjiang, LI Sheng, WEI Zongkang, et al. Research status and prospects of the influence of coal and gas outburst on ventilation system[J]. Coal Science and Technology, 2021, 49(3): 100-105.

    [4] 杨杰,赵连刚,全芳.煤矿通风系统现状及智能通风系统设计[J].工矿自动化,2015,41(11):74-77.

    YANG Jie, ZHAO Liangang, QUAN Fang. Current situation of coal mine ventilation system and design of intelligent ventilation system[J]. Industry and Mine Automation, 2015, 41(11): 74-77.

    [5] 张庆华,姚亚虎,赵吉玉.我国矿井通风技术现状及智能化发展展望[J].煤炭科学技术,2020,48(2):97-103.

    ZHANG Qinghua, YAO Yahu, ZHAO Jiyu. Status of mine ventilation technology in China and prospects for intelligent development[J]. Coal Science and Technology, 2020, 48(2): 97-103.

    [6] 李伟宏,魏志丹.矿井智能通风控制系统研究及应用[J].工矿自动化,2021,47(S1):72-74.

    LI Weihong, WEI Zhidan. Research of mine intelligent ventilation control system and its application[J]. Industry and Mine Automation, 2021, 47(S1): 72-74.

    [7] 邢永亮,曹金龙.煤矿智能化通风安全管控研究[J].工矿自动化,2021,47(S2):52-55.

    XING Yongliang, CAO Jinlong. Research on safety management and control of coal mine intelligent ventilation[J]. Industry and Mine Automation, 2021, 47(S2): 52-55.

    [8] 周福宝,魏连江,夏同强,等.矿井智能通风原理、关键技术及其初步实现[J].煤炭学报,2020,45(6):2225-2235.

    ZHOU Fubao, WEI Lianjiang, XIA Tongqiang, et al. Principle, key technology and preliminary realization of mine intelligent ventilation[J]. Journal of China Coal Society, 2020, 45(6): 2225-2235.

    [9] 邵良杉,于保才,陈晓永.矿井智能通风关键技术[J].煤矿安全,2020,51(11):121-124.

    SHAO Liangshan, YU Baocai, CHEN Xiaoyong. Key technology of mine intelligent ventilation[J]. Safety in Coal Mines, 2020, 51(11): 121-124.

    [10] 卢新明,尹红.矿井通风智能化理论与技术[J].煤炭学报,2020,45(6):2236-2247.

    LU Xinming, YIN Hong. The intelligent theory and technology of mine ventilation[J]. Journal of China Coal Society, 2020, 45(6): 2236-2247.

    [11] 刘剑.矿井智能通风关键科学技术问题综述[J].煤矿安全,2020,51(10):108-111.

    LIU Jian. Overview on key scientific and technical issues of mine intelligent ventilation[J]. Safety in Coal Mines, 2020, 51(10): 108-111.

    [12] 李冠华.矿井通风安全动态数据整合平台[J].煤矿安全,2018,49(10):110-113.

    LI Guanhua. Dynamic data integration platform for coal mine ventilation safety[J]. Safety in Coal Mines, 2018, 49(10): 110-113.

    [13] 张珂,杨应迪,刘学通,等.矿井通风系统三维模型的构建与应用[J].工矿自动化,2020,46(2):59-64.

    ZHANG Ke, YANG Yingdi, LIU Xuetong, et al. Construction and application of three-dimensional model of mine ventilation system[J]. Industry and Mine Automation, 2020, 46(2): 59-64.

    [14] 迟焕磊,袁智,曹琰,等.基于数字孪生的智能化工作面三维监测技术研究[J].煤炭科学技术,2021,49(10):153-161.

    CHI Huanlei, YUAN Zhi, CAO Yan, et al. Study on digital twin-based smart fully-mechanized coal mining workface monitoring technology[J]. Coal Science and Technology, 2021, 49(10): 153-161.

    [15] 王斌,王永宝,郝继宝,等.王楼煤矿智能通风系统优化[J].煤矿安全,2019,50(2):105-108.

    WANG Bin, WANG Yongbao, HAO Jibao, et al. Optimization of intelligent ventilation system in Wanglou Coal Mine[J]. Safety in Coal Mines, 2019, 50(2): 105-108.

    [16] 孙凯.矿井通风系统优化模型研究[J].煤炭技术,2020,39(1):105-106.

    SUN Kai. Research on optimization model of mine ventilation system[J]. Coal Technology, 2020, 39(1): 105-106.

    [17] 赵贺.山不拉矿井通风系统优化[J].煤炭技术,2020,39(10):102-106.

    ZHAO He. Optimization of ventilation system in Shanbula Mine[J]. Coal Technology, 2020, 39(10): 102-106.

    [18] 张驰,万金鹏,栾光亮.复杂通风煤矿智能反风系统研制与应用[J].煤矿科学技术,2020,48(S2):107-110.

    ZHANG Chi, WAN Jinpeng, LUAN Guangliang. Development and application of intelligent anti-wind system in complex ventilation mine[J]. Coal Science and Technology, 2020, 48(S2): 107-110.

计量
  • 文章访问数:  77
  • HTML全文浏览量:  21
  • PDF下载量:  72
  • 被引次数: 0
出版历程
  • 发布日期:  2023-02-19

目录

    /

    返回文章
    返回