高级检索

煤矿安全监测监控体系中边缘计算模式研究

屈世甲, 武福生, 贺耀宜

屈世甲, 武福生, 贺耀宜. 煤矿安全监测监控体系中边缘计算模式研究[J]. 煤炭科学技术, 2022, 50(5).
引用本文: 屈世甲, 武福生, 贺耀宜. 煤矿安全监测监控体系中边缘计算模式研究[J]. 煤炭科学技术, 2022, 50(5).
QU Shijia, WU Fusheng, HE Yaoyi. Research on edge computing mode in coal mine safety monitoring and control system[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(5).
Citation: QU Shijia, WU Fusheng, HE Yaoyi. Research on edge computing mode in coal mine safety monitoring and control system[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(5).

煤矿安全监测监控体系中边缘计算模式研究

Research on edge computing mode in coal mine safety monitoring and control system

Funds: 

Key Technology Innovation Project of Tian Di Technology Co., Ltd. (2019-TD-ZD007)

  • 摘要: 针对煤矿现有监测监控体系下井下融合度不高,现场灾害分析和联动处理能力缺乏,无法满足监测监控深度融合需要的问题。对标智慧矿山建设中安全保障方面对监测监控体系的要求,论述了建立深度融合监测监控体系的必要性。分析了边缘计算技术在煤矿监测监控体系中的适用性,提出了建立基于云、边、端三级的煤矿监测监控体系架构,增加“端”侧传感信息的采集和第一级安全分析预警并实现区域联动功能。提出了煤矿监测监控体系中设置两级边缘节点的模式,分析指出边缘网关是当前更为关注的边缘计算节点。结合EdgeX Foundry平台架构对智能边缘网关的硬件平台和软件平台设计提出了构想,设计了煤矿安全监控系统边缘网关的整体架构。以煤矿工作面外因火灾为例,分析了现有监测监控体系和基于边缘计算监测监控体系下对火灾信息采集、分析预警和灾变处置的不同流程,将原有的火灾9步处理流程优化为4步处理流程,分析认为基于边缘计算的监测监控体系在系统井下深度融合、区域安全融合分析和处置方面相比较现有监测监控体系都有一定的优势。
    Abstract: In view of the low degree of underground integration in the existing monitoring and control system of coal mines, the lack of on-site disaster analysis and linkage processing capabilities, and the inability to meet the needs of deep integration of monitoring and control, based on the requirements for the monitoring and control system in the aspect of safety guarantee in the construction of smart mines, the necessity to establish the depth of integration monitoring and control system was put forward. The applicability edge computing technology in the coal mine monitoring and control system was analyzed, and the establishment of a coal mine monitoring and control system based on cloud, edge and end was proposed, and the collection of “end” side sensing information and the first-level security analysis and early warning were added and the regional linkage function was realized. A mode of setting up two-level edge nodes in the coal mine monitoring and control system was proposed, analysis points out that the edge gateway is the edge computing node that is currently more concerned. Combined with the EdgeX Foundry platform architecture, the design of the hardware platform and software platform of the intelligent edge gateway design was put forward, and the overall architecture of the edge gateway of the coal mine safety monitoring system was designed.Taking the fire outside the coal mine face as an example, the different processes of fire information collection, analysis and early warning and disaster disposal under the existing monitoring and monitoring system and the monitoring and monitoring system based on edge computing were analyzed, and the original 9-step fire treatment process was optimized to a 4-step treatment process. The analysis shows that the monitoring and control system based on edge computing has certain advantages compared to the existing monitoring and control system in terms of deep integration of the system, regional safety integration analysis and disposal.
  • 期刊类型引用(15)

    1. 焦建英,吕春颖,邵暖,张贺玉,张翔,武智瑛. 基于C#+PLC煤矿边缘监测AI控制研究. 煤炭技术. 2025(04): 235-238 . 百度学术
    2. 王昕彤. 基于大数据和人工智能的矿山安全预警与监控. 信息与电脑(理论版). 2024(01): 202-204 . 百度学术
    3. 郝守礼,乔燕军,范科,赵文韬,丁洒. 光伏发电区红外热成像火灾预警系统研究. 信息与电脑(理论版). 2024(05): 59-61 . 百度学术
    4. 田佳伟,唐子山. 基于边缘计算和ST-YOLO的矿井智能监控技术研究. 煤炭工程. 2024(07): 165-173 . 百度学术
    5. 都书刚,戴万波,马旭伟,康舆哲. 智能矿山IoT边缘数据网关技术研究. 矿冶. 2024(04): 631-636 . 百度学术
    6. 张婧,周浩,屈世甲,赵乾坤. 工作面煤壁甲烷涌出在受限空间的扩散规律研究. 煤炭技术. 2024(10): 135-141 . 百度学术
    7. 张婧,张桓瑞,赵乾坤,屈世甲. 综采工作面区域甲烷分布特征及关键监测位置研究. 中国矿业. 2024(10): 209-216 . 百度学术
    8. 崔林林,权晓光,徐昊,仝依良,王晓彬. 基于Azure边云结合在煤矿安全方向应用研究. 传感器与微系统. 2024(12): 37-40 . 百度学术
    9. 王健,屈世甲,于振,张羽. 煤矿地下水库安全监测及预警关键技术研究. 中国煤炭. 2024(12): 71-82 . 百度学术
    10. 安军. 基于无线通信技术的电气火灾智能监控系统. 自动化与仪表. 2023(01): 120-124 . 百度学术
    11. 程德强,钱建生,郭星歌,寇旗旗,徐飞翔,顾军,高亚超,赵金升. 煤矿安全生产视频AI识别关键技术研究综述. 煤炭科学技术. 2023(02): 349-365 . 本站查看
    12. 杨波. 基于大数据分析的煤矿通风自动控制系统. 能源与环保. 2023(08): 39-44 . 百度学术
    13. 李伟,叶鸥,刘辉,黄天尘. 基于数字孪生技术的大型煤矿远程智能监控研究. 计算机测量与控制. 2023(11): 204-211 . 百度学术
    14. 刘辉,张晓利,黄天尘,赵堃. 基于改进RBF数据融合算法的煤矿井下安全监控研究. 计算机测量与控制. 2023(11): 173-180 . 百度学术
    15. 蔡勇. 煤矿安全监测监控系统在应用中存在的问题及解决措施分析. 内蒙古煤炭经济. 2022(24): 94-96 . 百度学术

    其他类型引用(3)

计量
  • 文章访问数:  78
  • HTML全文浏览量:  15
  • PDF下载量:  3007
  • 被引次数: 18
出版历程
  • 网络出版日期:  2023-04-02
  • 发布日期:  2022-05-24

目录

    /

    返回文章
    返回