Governance Method for RVS Problem Data Based on Sliding Window Median Filtering
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.
Internet of Vehiclesbig dataintelligent cabindata governance
万方数据
维普
