生命周期视域下的工业大数据价值发现研究

Research on Value Discovery of Industrial Big Data from the Perspective of Life Cycle

[目的/意义]工业大数据是实现智能制造的触媒和源动力,是推动传统制造业数字化转型的重要抓手,深度发掘工业大数据的潜在价值,对实现产业数字化转型升级具有重要意义。[方法/过程]基于数据生命周期视角,结合工业大数据特有的属性特征,构建三阶段的工业大数据生命周期模型,并依此提出生命周期视域下的工业大数据价值发现模型。[结果/结论]厘清工业大数据生命周期各阶段呈现出的数据价值,即数据整合阶段的静态价值、数据分析阶段的动态价值以及数据应用阶段的决策价值,并阐释不同阶段数据价值发现过程的动力模式,即数据整合阶段的“场景+规范”数据采集模式与有序数据组织模式、数据分析阶段的智能化数据处理模式与自适应算法匹配模式、数据应用阶段的协同化数据使用模式与数据价值前反馈模式。

[Purpose/Significance]Industrial big data is the catalyst and source power to realize intelligent manufacturing,and it is an important link to promote the digital transformation of traditional manufacturing industry.Further exploring the potential value of industrial big data is of great significance to realize the digital transformation and upgrading of industry.[Method/Process]Combining with the unique attribute characteristics of industrial big data,this paper constructed a three-stage model of industrial big data life cycle based on the perspective of data life cycle and constructed the industrial big data value discovery mode under the perspective of life cycle.[Result/Conclusion]This paper clarifies the data value presented existing in each major stage in the industrial big data life cycle,i.e.,the data static value in the data integration stage,the data dynamic value in the data analysis stage,and the data decision value in the data application stage,and explains the power mode of the data value discovery process at different stages,i.e.,the“scene+specification”data acquisition mode and orderly data organization mode in the data integration stage,the intelligent data processing mode and adaptive algorithm matching mode in the data analysis stage,and the data collaboration usage mode and forward feedback mode of data value in the data application stage.