摘要
设备设施故障是公共交通系统运营安全事故发生的主要原因,为更好地度量和增强系统的安全韧性,提出融合复杂网络(CN)与功能共振分析方法(FRAM)的CN-FRAM运营安全韧性度量模型,并将系统韧性定义为扰动下系统性能损失与性能基线之比。首先,根据设备设施系统构成和节点功能,建立CN;其次,将FRAM模型嵌入到CN中,以扩展节点和连接,构建CN-FRAM模型;然后,基于CN-FRAM韧性度量模型分析系统组件之间功能变化的聚合,并在量化系统韧性时综合考虑网络整体效益和组件之间的耦合程度;最后,以南京市地铁信号系统为例,验证方法的可行性和有效性。结果表明:该模型可以量化系统破坏-恢复全过程的韧性,计算故障对系统的影响程度,并以韧性值最大化为目标,展现不同修复策略下的韧性表现,从而为确定最佳恢复顺序提供依据。对比现有方法,该方法所确定的最优恢复策略能显著减少系统因故障造成的整体性能损失,从而提高系统的韧性。
Equipment and facility failures were the primary cause of safety accidents in public transportation systems.In order to better quantify and enhance the safety resilience of systems,CN-FRAM operational safety resilience measurement model,integrating CN and FRAM,were proposed.System resilience was defined as the ratio of system performance loss to performance baseline under perturbations.Firstly,based on the composition and functional nodes of the equipment and facility system,a CN was established.Secondly,the FRAM model was embedded into the CN to expand nodes and connections,constructing the CN-FRAM model.Then,based on the CN-FRAM resilience measurement model,the aggregation of functional changes between system components was analyzed,and when quantifying system resilience,the overall efficiency of the network and the degree of coupling between components were considered comprehensively.Finally,using the metro signal system in Nanjing as an example,the feasibility and effectiveness of the method were validated.The results show that the model can quantify the resilience of the system throughout the disruption-recovery process,calculate the impact of failures on the system,and maximize resilience values as the objective,demonstrating resilience performance under different repair strategies,thereby providing a basis for determining the optimal recovery sequence.Compared with existing methods,the optimal recovery strategies identified by this method can significantly reduce the overall performance loss caused by failures,thus enhancing system resilience.
作者
申玲
唐令怡
廖洁
SHEN Ling;TANG Lingyi;LIAO Jie(School of Civil Engineering,Sanjiang University,Nanjing Jiangsu 210012,China;School of Civil Engineering,Southeast University,Nanjing Jiangsu 211189,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2024年第3期45-54,共10页
China Safety Science Journal
关键词
复杂网络(CN)与功能共振分析方法(FRAM)
公共交通
设备设施系统
运营安全韧性
韧性度量
complex network(CN)and functional resonance analysis method(FRAM)
public transportation systems
equipment and facilities system
safe and resilient operation
resilience measurement method
