Research on Abnormal Data Monitoring of Intelligent Vehicle Communication Network

Min Li
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引用次数: 0

Abstract

At present, to precisely ensure the routine use of intelligent vehicles' communication network, accurate data transmission is of great importance, which can also, to some extent, improve the network failure management and maintenance of smart cars, thus affecting the intellectual analysis ability of intelligent cars. Therefore, it is very necessary to perform real-time monitoring of abnormal data in the everyday use of smart cars and their regular operation. Based on the detection of anomalous data of intelligent vehicles, an instantaneous frequency estimation method of signals transmitted by a communication network is proposed in this paper. In terms of abnormal data detection, after the time-frequency decomposition of the output signal of the collected communication network, the collected anomalous data can be detected by extraction, and then the detected and captured abnormal data is filtered to finally complete the characteristic extraction of the strange frequency of the abnormal data.
智能车载通信网络异常数据监控研究
目前,为了精确保证智能汽车通信网络的日常使用,准确的数据传输是非常重要的,这也可以在一定程度上提高智能汽车的网络故障管理和维护,从而影响智能汽车的智能分析能力。因此,对智能汽车的日常使用和正常运行中的异常数据进行实时监控是非常必要的。针对智能车辆异常数据的检测问题,提出了一种通信网络传输信号的瞬时频率估计方法。在异常数据检测方面,对采集到的通信网络输出信号进行时频分解后,对采集到的异常数据进行提取检测,然后对检测到的、捕获到的异常数据进行滤波,最终完成异常数据奇异频率的特征提取。
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