大数据驱动的智能制造

摘要

数据是未来制造业的核心要素,工业大数据分析是赋予制造"智能"的关键.系统分析了大数据驱动的智能制造的科学范式、理论方法与使能技术,阐述了应用方向与工业实践;根据"第四范式:数据密集型科学发现",提出了"关联-预测-调控"的大数据驱动智能制造科学范式;根据数据处理流程,总结了融合处理、关联分析、性能预测与优化决策四位一体的方法体系.围绕边缘层、平台层和应用层设计大数据平台,介绍了大数据驱动智能制造的使能技术;从智能设计、计划调度、质量优化、设备运维四个角度,综述工业大数据驱动的智能制造应用现状.%The industrial big data analytics is one of the most critical issues to enable the intelligent manufacturing.According to"the fourth paradigm:data-intensive scientific discovery", the"connection-prediction-regulation"scientific paradigm of big data-driven intelligent manufacturing was proposed.According to the data processing processes, the method system of fusion processing, correlation analysis, performance prediction and optimization decision was summarized.The big data platform was designed around the edge layer, platform layer and application layer, and the enabling technology of big data-driven intelligent manufacturing was introduced.Then four typical application scenarios were illustrated and reviewed:design, planning and scheduling, quality optimization, and machinery health management.