摘要
在大数据时代,传统的汽车数据采集和处理方式已无法满足新能源汽车行业的需求,新能源汽车全维度数据定位终端系统的研究已是大势所趋。本文搭建了一款全维度数据定位终端系统架构,其包含空天地一体化对地观测网络、社会感知网络、全维度空间3层。为了解决新能源汽车定位异常问题,本文提供了基于数据驱动和基于知识库两种技术路径。研究发现,基于数据驱动的方法和基于知识库的方法均能够有效解决系统问题,新能源汽车全维度数据定位终端系统为新能源汽车的发展和普及提供了一定的借鉴与参考。
In the era of big data,the traditional automobile data collection and processing methods can no longer meet the needs of the new energy automobile industry,and under the the research of the full-dimensional data positioning terminal system of new energy vehicles has become the general trend.This paper builds a full-dimensional data positioning terminal system architecture,including three layers:Space-space-ground integrated earth observation network,social perception network,and full-dimensional space.In order to solve the problem of abnormal positioning of new energy vehicles,this paper provides two technical paths:Data-driven and knowledge-based.It is found that both data-driven and knowledge-based methods can effectively solve system problems,and the full-dimensional data positioning terminal system of new energy vehicles provides a certain reference for the development and popularization of new energy vehicles.
作者
陈恒睿
秦博扬
CHEN Hengrui;QIN Boyang(Xinhua International Business School,Liaoning University,Shenyang,Liaoning 110136,China;XUTELI School,BIT,Beijing 102401,China)
出处
《自动化应用》
2023年第17期96-98,101,共4页
Automation Application
关键词
全维度数据
空天地一体化
社会感知网络
数据驱动
知识库
full-dimensional data
air-space-ground integration
social perception networks
data-driven
knowledge base
