基于ZYNQ的列车MVB总线波形采集与物理层故障诊断OA

To address the challenges of heavy maintenance tasks,difficult physical layer fault localization,and high communication latency associated with traditional"FPGA+ARM"dual-chip architectures in current MVB(Multifunctional Vehicle Bus)networks,this paper designs an MVB bus waveform acquisition and fault diagnosis system based on the ZYNQ heterogeneous SoC platform.First,leveraging the on-chip high-bandwidth interconnection characteristics of the Programmable Logic(PL)and Processing System(PS)in the ZYNQ architecture,a hardware-software co-design acquisition architecture is constructed,resolving the timing bottleneck of cross-chip trans-mission.Second,for common short-circuit,open-circuit,and impedance mismatch faults in the MVB physical link,a diagnosis method combining key time-domain feature extraction and an expert rule base is proposed.Decision thresholds are set based on the IEC 61375 standard and statistical criteria,replacing traditional single-threshold judgment.Finally,a semi-physical simulation experimental plat-form was built for system verification.Test results show that the system can accurately reconstruct high-speed MVB signal waveforms;in a laboratory environment,the end-to-end delay from acquisition to diagnosis is controlled at the millisecond level,and typical physical layer faults can be accurately diagnosed.This design achieves deep on-chip coupling of data acquisition and intelligent processing,providing a highly integrated engineering solution for train network status monitoring.