汽车全生命周期大数据决策支持平台建设方案  

Construction Scheme of Big Data Decision Support Platform Based on the Automobile Whole Life Cycle

作　　者：毛何灵 庞进喜 高雪 Mao Heling;Pang Jinxi;Gao Xue(China Auto Information Technology(Tianjin)Co.,Ltd.,Tianjin,300300)

机构地区：[1]中汽信息科技(天津)有限公司,天津300300

出　　处：《汽车文摘》2023年第12期14-20,共7页Automotive Digest

摘　　要：由于数据采集工具的普及,汽车“选、购、用、管、修、换”全生命周期都会产生数据,需要从中提取关键信息以实时反映市场变动、竞企动态、技术趋势等。通过对行业内数据处理流程和工具进行调研,利用各环节的耦合关系,集成数据降维、数据融合和数据治理等关键技术,将数据资源通过识别ID相互打通。最终论证可视化平台与分析报告可用于凝结数据分析结果与专家智慧,为汽车以及零部件企业的产品规划、市场战略提供决策支持,数字化赋能汽车的价值链。Due to the popularity of data acquisition tools,the whole life cycle of automobile’s“selection,purchase,use,management,repairment and replacement”will generate data,from which key information needs to be extracted to reflect market changes,competitive enterprise dynamics,technology trends.In this study,data processing processes and tools in the industry are investigated.Key technologies such as dimensionality reduce,data fusion and data governance are integrated by using the coupling relationship of various stages to connect data resources with each other through ID identification.It is proved the point that through the visualization platform and analysis report,data analysis results and expert wisdom can be aggregated to provide decision support for product planning and market strategy of automobile and parts enterprises,and better digitize the value chain of automobile.

关 键 词：汽车行业数据 汽车生命周期 决策支持系统 大数据平台建设 

分 类 号：U495[交通运输工程—交通运输规划与管理]