摘要
随着智能网联汽车越来越普及,汽车数据增长迅速。随着数据分析应用工作的深入,技术人员对车辆数据的上报频率、单车信号项数量提出了越来越高的要求。本文介绍一种事件型&周期型协同的车辆运行数据上传方法,避免数据上报周期的固有延迟,也避免无差别进行数据库更新动作带来的巨大性能浪费。
With the increasing popularity of intelligent connected cars,car data is growing rapidly.With the deepening of data analysis and application work,technicians have put forward higher and higher requirements for the upload frequency of vehicle data and the number of bicycle signal items.This paper introduces an event periodic collaborative vehicle operation data upload method to avoid the inherent delay of data upload cycle and the huge performance waste caused by the undifferentiated database update action.
作者
桂康哲
郭来喜
覃文泉
许凌睿
GUI Kang-zhe;GUO Lai-xi;QIN Wen-quan;XU Ling-rui(SAIC GM Wuling Automobile Co.,Ltd.,Guangxi Laboratory of New Energy Automobile,Guangxi Key Laboratory of Automobile Four New Features,Liuzhou 545007,China)
出处
《汽车电器》
2023年第8期54-55,58,共3页
Auto Electric Parts
关键词
智能网联车型
数据上传
事件型&周期性协同
intelligent connected model
data upload
event type&periodic collaborative
