To fully identify the interaction and coupling effects between the subsystem elements in SPO mode,an improved FRAM was developed to propose a quantitative analysis model based on the risk evolution mechanism.Firstly,the fuzzy comprehensive evaluation method was used to evaluate the functional variability of system functional modules.Then,the concept of structural importance was introduced to analyze upstream and downstream coupling variability of functional modules of the computational system and determine the coupling effect mechanism between various functional elements of the system.Finally,the Monte Carlo simulation method was used to calculate the functional resonance risk index for SPO-specific scenarios,analyze potential functional resonance situations,and set effective functional barriers.The results showed that the improved functional resonance analysis method can explain the nonlinear coupling situation of SPO.The functional variability coupling change index of modules such as air traffic control and services,pilot cognitive state,and captain control was relatively high with a value of more than 2.5.In the approach and landing scenario,eight functions(e.g.,crew technical training,important meteorological information,air traffic control services,and ground information support)were prone to functional resonance.Combined with the functional resonance results,the physical,symbolic,functional,and invisible functional safety barrier measures were set to provide specific operational suggestions.
关键词
功能共振分析法(FRAM)/单一飞行员运行(SPO)/风险演化/耦合变化/功能可变性
Key words
functional resonance analysis method(FRAM)/single pilot operation(SPO)/risk evolution/coupling changes/functional variability
维普
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