标识解析与车联网先导区融合发展关键技术与推进路径研究
Research on Key Technologies and Promotion Paths for the Integration Development of Identification Analysis and IoT Pilot Area
摘要: 车联网先导区建设整体需求是通过新一代信息和通信技术,实现跨行业跨平台数据的互联互通,而工业互联网标识解析体系是工业互联网网络体系的重要组成部分,是支撑工业互联网互联互通的神经中枢。通过标识解析体系与车联网先导区融合发展,将促进车联网先导区多车辆与众多交通元素和相关设施的全方位连接,改善驾乘感受。本文通过分析车联网先导区建设现状,利用标识解析体系跨平台、跨行业互联互通的特性,立足于车联网先导区当前架构,将标识与车联网终端(包含车载终端、路侧终端、云端等)进行融合,提出了标识与车联网先导区的融合发展新架构,解决了原架构的“数据孤岛”、平台不互通、数据难溯源等问题,进一步推进了车联网先导区的建设与发展。
Abstract:
The overall demand for the construction of the pilot area of the Internet of vehicles is to achieve cross-industry cross-platform data interconnection through a new generation of information and communication technology, and the industrial Internet identification and analysis system is an important part of the industrial Internet network system, is the nerve center to support the interconnection of the industrial Internet. Through the integrated development of the identification and analysis system and the pilot area of the Internet of Vehicles, the comprehensive connection between multiple vehicles and numerous traffic elements and related facilities in the pilot area of the Internet of vehicles will be promoted to improve the driving and riding experience. Pilot area construction situation in this paper, by analyzing the car network, using the analytical system identification characteristics of the cross-platform, cross-industry interconnectivity, based on the forerunner area of the current car networking architecture, identifies and car network terminal (including car terminal, roadside terminal, cloud, etc.) for integration, puts forward the identity and the integration development of the new architecture of pilot area, car networking. The “data island” of the original architecture, platform connectivity, difficult data traceability and other problems have been solved, and the construction and development of the pilot area of the Internet of vehicles has been further promoted.
参考文献
|
[1]
|
刘艳玲, 王鹤迦. 数据是驱动工业互联网创新发展的核心“燃料” [EB/OL]. 通信世界网.
http://www.cww.net.cn/article?id=561019, 2022-04-16.
|
|
[2]
|
张晓迪. 信通院发布车联网白皮书: C-V2X产品研发已基本成熟[EB/OL]. C114通信网.
https://baijiahao.baidu.com/s?id=1654320382640389794&wfr=spider&for=pc, 2019-12-30.
|
|
[3]
|
任语铮, 曾诗钦, 霍如, 谢人超, 黄韬, 张钰雯. 新型工业互联网标识解析体系探讨与实践[J]. 信息通信技术与政策, 2019, 302(8): 74-77.
|
|
[4]
|
常昊. 我国车联网技术发展的现状和建议[J]. 内燃机与配件, 2018(9): 205.
|
|
[5]
|
罗忠, 罗瑛. 车联网发展的探讨[J]. 电子技术与软件工程, 2015(6): 11.
|
|
[6]
|
魏如秋. 车联网运用分析研究[J]. 价值工程, 2018(8): 182-184.
|
|
[7]
|
焦萍萍. 车联网数据安全风险及应对策略研究[J]. 电子技术与软件工程, 2021(4): 248-249.
|
|
[8]
|
中国信息通信研究院. 2021年车联网白皮书[R]. 北京: 中国通信研究院, 2021.
|
|
[9]
|
曹吉昌, 华贤平. 关于在新建城区开展车联网建设的案例研究——以无锡市为例[J]. 建设科技, 2021(15): 9-12.
|
|
[10]
|
游涓洋, 浦俊懿. 计算机行业: 从车联网示范区情况看智慧路网的建设内容与市场规模[EB/OL].
http://stock.finance.sina.com.cn/stock/go.php/vReport_Show/kind/lastest/rptid/637172160854/index.phtml, 2020-03-10.
|
|
[11]
|
魏文渊, 赵鹏超, 谢卉瑜, 张博. 车联网标识解析体系研究[J]. 时代汽车, 2021(6): 4-8.
|
|
[12]
|
王群, 钱焕延. 车联网体系结构及感知层关键技术研究[J]. 电信科学, 2012, 28(12): 1-9.
|
|
[13]
|
李家文, 申存淼. 智能网联汽车云控基础平台分析与发展概述[R]//中国智能网联汽车产业发展报告. 北京: 社会科学文献出版社, 2019: 65-82.
|
|
[14]
|
方啸, 王秀峰, 张旭, 侯广大. 5G车路协同在干线物流自动驾驶中的应用[J]. 信息通信技术与政策, 2020(12): 28-32.
|
|
[15]
|
邓稳. 基于车联网环境的安全通信技术研究与实现[D]: [硕士学位论文]. 成都: 电子科技大学, 2020.
|