Research on architecture and key technologies of fire rescue technology system based on digital twin

doi:10.16265/j.cnki.issn1003-3033.2023.08.1363

Abstract

Abstract:

In order to enhance the safety and efficiency of fire rescue operations, this study strategically incorporated cutting-edge information technology and implemented digital twin technology within fire rescue procedures. The paper began by analyzing the hazards encountered by firefighting and rescue personnel during operations. It then introduced the concept and essence of digital twin fire rescue technology, outlining its distinctive characteristics. The 5-layer system architecture of digital twin fire rescue technology was presented, along with an explanation of the methods for aggregation and expansion of the system architecture suitable for rescue processes. The paper further highlighted key technologies of digital twin fire rescue, including mobile positioning technology, digital threading technology, and data-driven modeling technology. The findings demonstrate that the application of digital twin fire rescue technology has the potential to enhance the safety assurance ability of fire rescue personnel and improve the efficiency of rescue operations. By enabling real-time data exchange and information fusion, digital twin fire rescue technology achieves comprehensive integration of twin data, providing more precise decision-making support for rescue operations. The 5-layer system architecture and key technologies of digital twin fire rescue technology effectively establish a connection between physical and virtual entities, facilitating the aggregation and expansion of digital twins and offering robust support for the implementation of digital twin fire rescue.

Key words: digital twin, fire rescue, system architecture, key technology, data driven, data fusion

CHEN Changkun, ZHANG Jian, JIAO Weibing, LU Tong. Research on architecture and key technologies of fire rescue technology system based on digital twin[J]. China Safety Science Journal, 2023, 33(8): 156-163.

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序号	类别	传感器类型	用途
1	体征数据	定位	采集位置数据
2		心率血氧	采集心率血氧浓度数据
3		体温	采集救援人员体温数据
4		加速度	采集运动加速度数据
5		压力	采集空呼仪压力数据
6		体态	采集救援人员体态数据
7	火场环境	烟雾浓度	采集现场烟雾浓度数据
8		氧气浓度	采集现场氧气浓度数据
9		图像	采集救援现场图像数据
10		温度	采集火场温度数据