基于HARMS的协同消防安全系统中的无线传感器网络和大数据

Bakytgul Khaday, E. Matson, John A. Springer, Y. Kwon, Hansu Kim, Sunbin Kim, Daulet Kenzhebalin, Cho Sukyeong, Jinwoong Yoon, Hong Seung Woo
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引用次数: 18

摘要

城市人口的增长和土地的短缺导致了高层建筑的发展。高层建筑有优点,同时也有缺点。其中一个缺点是,它们在火灾情况下不是完全安全的,因为消防车无法到达它们。如果及早发现火灾危险,可以预防和消除火灾危险。通过实现WSN (Wireless Sensor Network)和大数据,利用人代理机器人机器传感器(Human Agent Robot Machine Sensor, CFS2H)消息协议将数据采集发送到协同消防系统的其他成员,建立了整个系统中所有成员之间更快的通信和协作。固定的WSN生成和分析数据,并与系统的其他成员进行无线通信。大数据是中央数据操作中心,与所有系统成员进行通信,控制整个系统的工作。本文详细介绍了无线传感器网络与大数据在协同消防系统中的实现与应用。
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Wireless Sensor Network and Big Data in Cooperative Fire Security system using HARMS
Growing population and shortage of land in urban areas led to development of tall buildings. Tall buildings have advantages and at the same time disadvantages. One of the disadvantages is that they are not fully safe in fire situations, because fire trucks cannot reach them. Fire danger can be prevented and eliminated if it is detected early. Implementing WSN (Wireless Sensor Network) and Big Data and collecting-sending data to other members of Cooperative Fire Security System using Human Agent Robot Machine Sensor (CFS2H) messaging protocol establishes faster communication and collaboration among all the members of the whole system. The stationary WSN generates and analyzes the data and wirelessly communicates with other members of the system. Big Data is the central data manipulating center which communicates with all the system members and controls the whole system work. This paper presents detailed implementation and application of WSN and Big Data in cooperative firefighting system.
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