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Analysis on Non-Strictly Identical Input of Safety Computer System Based on Fuzzy Theory

Due to the safety computer's double 2-vote-2 architecture in train control system, the non-strictly identical problems may be caused by the inconsistent multi-input data. If these are safety-critical data, these non-strictly identical problems may lead a serious threat to the safe operation of the train. This paper analyzes the non-strictly identical problems that exist in traditional safety computer. Then, the input data that cause to non-strictly identical problems is modeled separately. In this paper, an improved onboard double 2-vote-2 architecture safety computer platform that combines an onboard safety computer with a consistency model is proposed. The consistency model can be divided into two parts: improved fuzzy decision tree and fuzzy weighted fusion. Finally, the model is verified using based on speed data and air pressure data. Verification results indicate that the consistency model can effectively reduce the non-strictly identical problems and improve the system efficiency on the premise of ensuring the data reliability.