Expected Functional Safety Analysis of the Intelligent Detection and Monitoring System for Train Operating Environment Safety
With the application of intelligent sensing devices and algorithms in train operating environment safety detection and monitoring systems,expected functional safety has become one of the significant challenges facing the application of intelligent detection and monitoring systems.Limitations of sensing devices,complexity of model algorithms,and diversity of usage scenarios have contributed to the complexity of the application of intelligent detection and monitoring systems.This paper conducts an expected functional safety analysis of the train operating environment safety detection and monitoring system from three perspectives:the detection and monitoring system,the users,and the unknown risks.On this basis,this paper proposes a solution for the expected functional safety of the train operating environment safety detection and monitoring system,including the formulation of standards and norms,risk perception monitoring and protection,integrated learning,a combination of virtual and physical testing,and overall safety management.The research results contribute to a deeper understanding of the expected functional safety of train operating environment safety detection and monitoring systems developed using intelligent sensing devices and artificial intelligence algorithms,providing support for the system's R&D and engineering applications.
train operating environment safetyintelligent detection and monitoringexpected functional safetyriskscenario
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