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作 者:刘磊磊 赵华[2] Liu Leilei;Zhao Hua(Beiqi Foton Motor Co.,Ltd,beijing,100055;Instrunmentation Technology and Economy Institute,Beijing 100055)
机构地区:[1]北汽福田股份有限公司,北京102206 [2]机械工业仪器仪表综合技术经济研究所,北京100055
出 处:《中国仪器仪表》2021年第3期64-68,共5页China Instrumentation
摘 要:商用车产业面临市场红海倒逼产品设计升级、设计水平与国际存较大差距、海量研发数据缺乏积累和挖掘利用等问题。基于此,本文提出一种面向商用车设计工业大数据存储分析的工业互联网平台测试床建设方案,包括商用车研发设计领域海量数据的采集、汇聚、存储、管理和分析挖掘。实现通过数据驱动推动研发设计业务实现优化升级,提高商用车产业链整体协同效率,推动商用车产业实现数字化转型。Commercial vehicle industry faces the problems while the red sea markets are forcing product design upgrading, there are the large gap between China and the world about design level, lack of accumulation, mining and utilization of massive R&D data. Based on that, this paper proposes a test bed for the industrial internet platform for designing industrial big data storage and analysis for commercial vehicles, including that collect, aggregate, store, manage and analyze the massive amounts of data in the field of commercial vehicle R&D and design. So that to promote the optimization and upgrade of R&D and design business through data drive, improving the overall synergy efficiency of the commercial vehicle industry chain, and promoting the digital transformation of the commercial vehicle industry.
分 类 号:U466[机械工程—车辆工程] TP393.09[交通运输工程—载运工具运用工程]
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