In the era of digital economy,the Internet of Vehicles technology rapid develops and generates a large amount of remote vehicle status data.In order to ensure the accuracy,consistency and timeliness of the data,this paper studies the common problems of RVS data,and proposes a sliding window median filtering method.This method aims to process abnormal fluctuation data in real time manner and improve data quality.Based on the real RVS dataset,the experiment verifies that the proposed method can significantly improve the accuracy of the data while ensuring the real-time performance.This study not only provides a new idea for data governance in Internet of Vehicles technology,but can also be applied to data processing in other fields.
关键词
车联网/大数据/智能座舱/数据治理
Key words
Internet of Vehicles/big data/intelligent cabin/data governance
维普
万方数据