基于三级队列缓存的FlexRay网络监控平台
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(北京交通大学 电气工程学院,北京 100044)

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刘 彪(1982-),男,河北保定人,副教授,主要从事智能检测技术和现场总线与控制网络方向的研究。[FQ)]

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国家自然科学基金(61401017);中央高校基本科研业务费(2014JBM112)。


FlexRay Network Monitoring Platform Based on Tri-stage Queue Buffer
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(College of Electrical Engineering, Beijing Jiaotong University, Beijing 100044,China)

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    摘要:

    FlexRay以其实时性、灵活性、高带宽的优势,被称为“下一代车载网络”;然而其协议相对复杂,网络组网调试过程较困难;目前的辅助调试工具如CANoe不能进一步分析网络性能,在应用上具有局限性;针对上述问题,提出了一种同时对多个数据采集与存储的解决方案,并以FPGA为核心设计了FlexRay网络监控平台,利用SPI和USB总线设计了通信协议,在数据缓存方面设计了三级队列缓存方案;该平台实现了通信数据监测功能,可以获取结点CPU中寄存器状态、记录数据帧到达时间,进而分析网络运行及故障状态,同时解决了大量数据缓存溢出的问题;经过测试表明:系统能够稳定运行,适用于快速、优化地设计FlexRay网络。

    Abstract:

    FlexRay is known as "the next generation of vehicle network" with the advantages of real-time, flexibility and high bandwidth. However, the complex protocol makes it difficult to build and debug the node network. Currently debugging tools can not be used to further analyze the network performance, which is the limitation in application, such as CANoe. In order to solve the problems above, a solution for multiple datas acquisition and storage at the same time is presented,and the FlexRay network monitoring platform is designed with FPGA as the core,where the protocol is based on the SPI and USB bus and tri-stage queue buffer is used for data cache.It realizes the monitoring function of the communication data, obtains the register state of the node CPU, records the arrival time of the frame, and then analyzes the network operation and fault state, and solves the problem of massive data buffer overflow. The result shows that the system can run stably and is suitable for designing FlexRay network quickly and optimally.

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刘彪,白卫伟,钟韦.基于三级队列缓存的FlexRay网络监控平台计算机测量与控制[J].,2017,25(8):139-142.

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  • 收稿日期:2017-02-09
  • 最后修改日期:2017-02-28
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  • 在线发布日期: 2017-09-08
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