摘要
智能网联汽车将产生海量的传感器大数据,这些数据的传输和利用蕴藏着巨大的价值。阐述了智能网联汽车传感器大数据这一新的产业形态。从技术角度出发,首先,研究了2030年我国智能网联汽车的保有量;其次,分析了未来汽车传感器配置方案;然后,综述了传感器数据压缩技术的发展;最后,计算了单车和总体的数据规模并分析了可能的传输方式。结果表明在目前可用的压缩技术下,2030年每辆智能网联汽车每秒可产生8.6 MB数据,乐观地估计我国每年的传感器大数据总规模将达到1.084×1011GB。这些数据的价值将延伸到产业链内外,在传感器数据压缩技术、通信技术和隐私保护测评等方向催生出大量的商业机会。
Intelligent connected vehicles will produce massive sensor big data,and the transmission and utilization of these data have great value.The new industrial form of intelligent connected vehicle sensor big data is described.From the technical point of view,firstly,the number of intelligent connected vehicles in China in 2030 is studied.Secondly,the development of sensor data compression technology is summarized.Finally,the individual and overall data size are calculated and the possible transmission methods are analyzed.The results show that under the currently available compression technology,each intelligent connected vehicle will generate 8.6 MB of data per second in 2030,and it is optimistic that the total size of China’s annual sensor big data will reach 1.084×1011 GB.The value of these data will extend to the inside and outside of the industry chain,and spaw a large number of business opportunities in sensor data compression technology,communication technology,and privacy protection evaluation.
作者
朱笛
刘苏
林军
ZHU Di;LIU Su;LIN Jun(CEPREI,Guangzhou 510610,China)
出处
《电子产品可靠性与环境试验》
2020年第S02期93-97,共5页
Electronic Product Reliability and Environmental Testing
关键词
智能网联汽车
传感器
大数据
预测研究
intelligent connected vehicles
sensor
big data
prediction
