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[ "黄明峰,男,贵阳市信息产业发展中心高级工程师,主要研究方向为大数据技术与产业、云计算技术与应用、政府数据开放、城市信息化等。" ]
网络出版日期:2016-07,
纸质出版日期:2016-07-15
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黄明峰. 工业大数据发展态势与典型应用[J]. 电信科学, 2016,32(7):175-178.
Mingfeng HUANG. Development trend and typical applications of industrial big data[J]. Telecommunications science, 2016, 32(7): 175-178.
黄明峰. 工业大数据发展态势与典型应用[J]. 电信科学, 2016,32(7):175-178. DOI: 10.11959/j.issn.1000-0801.2016183.
Mingfeng HUANG. Development trend and typical applications of industrial big data[J]. Telecommunications science, 2016, 32(7): 175-178. DOI: 10.11959/j.issn.1000-0801.2016183.
从工业大数据的概念、特征入手,对工业大数据的发展态势进行了探讨,指出工业大数据可广泛应用于企业生产过程的各个环节。并按照研发设计环节、供应链环节、生产制造环节、营销与服务环节等应用场景对工业大数据的应用进行了分析与归纳。
The concept and characteristics of industrial big data were introduced
and its development trend was discussed.It meant that industrial big data cluld be widely used in the whole production process in manufacturing enterprises.According to application scenes of research and design
supply
manufacturing
marketing and service
the applications of industrial big data were analyzed and summed up.
钟海 . 大数据在工业制造业的应用与研究 [J ] . 企业技术开发:学术版 , 2015 , 34 ( 5 ): 104 - 105 .
ZHONG H . Application and research of big data in industrial manufacturing [J ] . Technological Development of Enterprise , 2015 , 34 ( 5 ): 104 - 105 .
王喜文 . 工业大数据的四种用途和两大价值 [J ] . 物联网技术 , 2016 , 6 ( 4 ): 7 .
WANG X W . Four uses and two values of industrial big data [J ] . Internet of Things Technologies , 2016 , 6 ( 4 ): 7 .
胡亮 , 刘洋 . 工业大数据在航天制造领域的集成应用研究 [J ] . 军民两用技术与产品 , 2015 ( 23 ): 48 - 51 .
HU L , LIU Y . Integrated application of industrial data in the field of aerospace manufacturing [J ] . Dual Use Technologies &Products , 2015 ( 23 ): 48 - 51 .
罗平 . 浅谈工业大数据的价值实现方式 [J ] . 商 , 2015 ( 29 ): 210 - 211 .
LUO P . Study on the value realization of industrial big data [J ] . Business , 2015 ( 29 ): 210 - 211 .
王建民 . 探索走出符合国情的工业大数据自主之路——工业大数据的范畴、关键问题与实践 [J ] . 中国设备工程 , 2015 ( 9 ): 36 - 37 .
WANG J M . Exploration out of the national industrial big data independent road-category,key issues and practice of industrial big data [J ] . China Plant Engineering , 2015 ( 9 ): 36 - 37 .
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