当前位置>主页 > 期刊在线 > 物联网 >

物联网21年18期

大数据 FIOT 技术驱动智慧交通产业创新发展模式研究——以长三角城市群为例
蒋安波¹,张福生 ²,罗金光¹,陈正球¹
(1. 常熟理工学院 信息化办公室,江苏 苏州 215506;2. 江苏省高校电梯智能安全重点建设实验室 常熟理工学院,江苏 苏州 215506)

摘  要:面对国内产业创新核心关键技术攻关模式研究动态,以大数据技术创新驱动产业发展的基金 - 集成 - 运营 - 转移(FIOT)模式,创建新型智慧交通产业关键核心技术的 FIOT 运营框架,通过大数据知识图谱建立高效的 FIOT 运营能力,依托智慧交通大数据技术为辐射的智慧城市群建设,吸引高端资本向城市产业转移,实现高端产业元素聚集,带动区域经济发展,跨越式提升政府引导的科技产业核心技术攻关能力。


关键词:大数据;智慧交通系统;核心技术;创新发展



DOI:10.19850/j.cnki.2096-4706.2021.18.045


基金项目:江苏省高等学校自然科学研究重 大项目(20KJA460011);常熟理工学院高校教 育改革项目(JXK2021028)


中图分类号:TP39                                     文献标识码:A                                   文章编号:2096-4706(2021)18-0175-04


Research on Innovative Development Model of Smart Transportation Industry Driven by Big Data FIOT Technology —Take the Yangtze River Delta Urban Agglomeration as an Example

JIANG Anbo1 , ZHANG Fusheng2 , LUO Jinguang1 , CHEN Zhengqiu1

(1.Information Office, Changshu Institute of technology, Suzhou 215506, China; 2.Key Construction Laboratory of Elevator Intelligent Safety in Colleges and Universities of Jiangsu Province, Changshu Institute of Technology, Suzhou 215206, China)

Abstract: In the face of domestic industrial innovation, the research trends of key technology research mode. The Fund-IntegrationOperation-Transfer (FIOT) model of industrial development driven by big data technology innovation is introduced. This topic has created the FIOT operation framework of the key core technology of the new intelligent transportation industry, established an efficient FIOT operation capacity through the big data knowledge map, and built a smart city cluster radiated by the intelligent transportation big data technology. This model can attract high-end capital to transfer to urban industries, realize the aggregation of high-end industrial elements, drive regional economic development, and leapfrog improve the core technology research ability of the science and technology industry guided by the government.

Keywords: big data; ITS; core technology; innovative development


参考文献:

[1] 习近平 . 中央财经委员会第二次会议 [C]. 北京:新华社,2018.

  [2] 李万 . 加强核心技术攻关的关键所在 [N]. 学习时报,2019-05-29(6).

[3] 胡利生,黄大巧,周星 . 智慧城市数据中心建设分析 [J]. 现代信息科技,2021,5(10):117-119+123.

[4] 陶永亮,廉军伟.关键核心技术攻关新型举国体制研究 [J]. 中国科技产业,2020(3):65-68.

[5] ZHAO Z Y,Zuo J,ZILLANTE G,et al. Critical success factors for BOT electric power projects in China:Thermal power versus wind power [J].Renewable Energy,2010,35(6):1283-1291.

[6] EBRAHIMNEJAD S,MOUSAVI S M,SEYRAFIANPOUR H. Risk identification and assessment for build-operate-transfer projects: A fuzzy multi attribute decision making model [J].Expert Systems with Applications,2010,37(1):575-586.

[7] WU D,YIN Y F,LAWPHONGPANICH S. Optimal selection of BOT projects on transportation networks [J].Transportation Research Part B:Methodological,2011,45(10):1699-1709.

[8] QIU L D,Wang S S. BOT projects:Incentives and efficiency [J].Journal of Development Economics,2011,94(1):127-138.

[9] AURIOL E,PICARD P M. A theory of BOT concession contracts [J].Journal of Economic Behavior & organization,2013, 89:187-209.

[10] CLARK G L,ROOT A. Infrastructure shortfall in the United Kingdom:the private finance initiative and government policy [J]. Political Geography,1999,18(3):341-365.

[11] SPACKMAN M. Public - private partnerships:lessons from the British approach [J].Economic System,2002,26(3):283-301.

[12] LIM C,KIM K J,MAGLIO P P. Smart cities with big data:Reference models,challenges,and considerations [J].Cities, 2018,82:86-99.

[13] 温珂,苏宏宇 . 从产业规律寻求解决关键核心技术问题的路径 [N]. 中国科学报,2020-05-18(4).

[14] 刘国巍,邵云飞 . 产业链创新视角下战略性新兴产业合作网络演化及协同测度——以新能源汽车产业为例 [J]. 科学学与科 学技术管理,2020,41(8):43-62.

[15] 钟国栋 . 大数据时代的政府智慧治理框架及其经济效能测度研究 [D]. 武汉:武汉大学,2017.


作者简介:蒋安波(1974—),女,汉族,吉林德惠人,高级工程师,本科,研究方向:信息化技术。