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Research on the Intelligently Early Warning of the Safety Based on the Multi-sensor Data Fusion Technology

机译:基于多传感器数据融合技术的安全智能预警研究

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According to the study of the quantitative analysis on the major hazards of the entity and virtual body in the mine production system, the early warning method of the mine safety production with the mixedmode of the active and passive way is presented based on wireless sensor networks, In which, applying the ZigBee2007/PRO protocol stack, wireless sensor microcontroller technology and the GIS positioning of wireless sensor network technology complete the dangerous source data collection such as the environmental parameters of the operation area, the operation parameters of production, and the threshold alarms. The early warning method is the active and passive safety warning system having the comprehensive treatment function of the initiative warning of the mine production safety, event location, coordination of data query and auxiliary accident treatment decisions through the node sensor design, efficient data frame, active and passive early-warning algorithm.
机译:通过对矿山生产系统中实体和虚拟主体主要危害的定量分析研究,提出了基于无线传感器网络的主动与被动混合模式的矿山安全生产预警方法,其中,通过使用ZigBee2007 / PRO协议栈,无线传感器微控制器技术和无线传感器网络技术的GIS定位,可以完成危险源数据的收集,例如操作区域的环境参数,生产的操作参数和阈值警报。预警方法是主动和被动安全预警系统,具有通过节点传感器设计,高效的数据框架,主动的,对矿山生产安全的主动预警,事件定位,数据查询协调和辅助事故处理决策的综合处理功能。和被动预警算法。

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