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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
基于人工智能识别技术的智慧矿山可视化系统应用
  • Title

    Application of Smart Mine Visualization System Based on Artificial Intelligence Identification Technology

  • 作者

    郝维栋

  • Author

    Hao Weidong

  • 单位

    阳泉市南庄煤炭集团有限责任公司

  • Organization
    Yangquan City Nanzhuang Coal Group Co., Ltd.
  • 摘要
    为强化煤矿安全生产的管理效能与水平,促进煤炭产业向安全高效方向发展,构建了针对智慧矿山的全方位人工智能识别解决方案和人工智能分析平台,平台以先进的AI技术为核心驱动力,依托机器深度学习的数学模型与高效报警系统,运用机器视觉算法对煤矿地面和井下作业环境中的人员行为模式、设备运行状态、环境参数变化、非标准作业实践及高风险作业场景进行即时解析,创新性地融合了“软件+服务器”的智能视觉应用模式,通过机器视觉深度分析与人工辅助校对的双重机制,确保对异常事件的精确识别、智能化预警、实时跟踪定位、现场即时干预以及多系统间的联动响应。
  • Abstract
    In order to strengthen the management efficiency and level of coal mine safety production, promote the coal industry development towards the direction of safety and efficiency, a comprehensive artificial intelligence recognition solution scheme and artificial intelligence analysis platform for smart mines are constructed. The platform takes the advanced AI technology as the core driving force, relies on mathematical models of machine deep learning and efficient alarm system, and uses machine vision algorithm to analyze personnel behavior patterns, equipment operation states, environmental parameter changes, non-standard operation practices, and high-risk operation scenes in coal mine ground surface and downhole operation environment in real time. It innovatively integrates the "software+server" intelligent vision application mode. Through the dual mechanism of machine vision deep analysis and manual assisted proofreading, it ensures accurate identification, intelligentize early warning, real-time tracking and positioning, on-site real time intervention and linkage response between multiple systems of abnormal events.
  • 关键词

    人工智能(AI)技术智慧矿山智能平台

  • KeyWords

    Artificial Intelligence (AI) technology;smart mine;intelligent platform

  • DOI
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主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

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