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作 者:武岳 曹天宇 WU Yue;CAO Tianyu(International School,Beijing University of Posts and Telecommunications,Beijing 100876;School of Artificial Intelligence,China University of Mining and Technology-Beijing,Beijing 100083)
机构地区:[1]北京邮电大学国际学院,北京100876 [2]中国矿业大学(北京)人工智能学院,北京100083
出 处:《能源科技》2024年第1期23-26,共4页Energy Science and Technology
基 金:北京市自然科学基金面上项目课题:面向城市安全的排水管道内部缺陷智能识别和三维重建视觉方法研究(4202065)。
摘 要:矿灾发生时缺少高效的救援调度是煤炭行业是当前面临的重大问题。煤矿的生产过程复杂,生产环境集中在空间狭小的矿井巷道内,生产过程中容易诱发矿灾,发生矿灾时需要应急指挥调度系统具有高效的时间性。针对矿灾应急指挥调度设计了基于物联网的智慧矿山矿灾应急指挥调度系统。该系统通过基于物联网的综合监控采集到的数据,使用时间轴技术对环境数据进行回溯和分析,实现对矿灾发生时场景的实时信息分析,通过应急指挥电子沙盘技术,实现对矿井内人员的实时定位,为矿灾应急指挥调度提供了智能化决策。The lack of efficient rescue dispatch during mine disasters is a significant challenge faced by the coal industry.The production process in coal mines is complex,with production environments concentrated in narrow mine tunnels.Production incidents such as fires,floods,and mining disasters can occur unexpectedly,highlighting the need for an emergency command and dispatch system that responds effectively and promptly.In response,a smart mine emergency command and dispatch system based on the Internet of Things(IoT)is designed.The system collects data through IoT-based comprehensive monitoring and uses time-axis technology to retrospectively analyze environmental data,enabling real-time information analysis during mine disasters.Utilizing emergency command electronic sandbox technology,it achieves real-time positioning of personnel inside the mine,providing intelligent decision-making for emergency command and dispatch during mine disasters.
分 类 号:TD76[矿业工程—矿井通风与安全]
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