Multi-index comprehensive evaluation method for reliability of urban rail train security detection sensor network
A technology for safety detection and urban rail trains, applied in the field of modern traffic safety, can solve problems such as the inability to comprehensively and objectively reflect the reliability of the safety detection sensor network, and achieve the effect of being easy to understand
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[0017] figure 1 Shown is the flow chart of the multi-index comprehensive evaluation method for the reliability of the urban rail train safety detection sensor network, which contains the following steps:
[0018] (1) Processing samples.
[0019] Since each evaluation index has different influences on the reliability of urban rail train safety detection sensor network, in order to make each evaluation index can be compared with each other in the system and have relative comparability, fuzzy mathematics theory must be used to analyze each evaluation index After normalization processing, the processed evaluation indicators can be used as training samples for the BP neural network. Delay, utilization rate, packet loss rate, and bit error rate are all quantitative indicators. The difference is that delay, packet loss rate, and bit error rate are reverse indicators, that is, the smaller the better, and the utilization rate is a positive indicator, namely The bigger the better. In...
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