Under the trend of economic globalization, intelligent manufacturing has attracted a lot of attention from academic and industry. Related enabling technologies make manufacturing industry more intelligent. As one of the key technologies in artificial intelligence, big data driven analysis improves the market competitiveness of manufacturing industry by mining the hidden knowledge value and potential ability of industrial big data, and helps enterprise leaders make wise decisions in various complex manufacturing environments. This paper provides a theoretical analysis basis for big data-driven technology to guide decision-making in intelligent manufacturing, fully demonstrating the practicability of big data-driven technology in the intelligent manufacturing industry, including key advantages and internal motivation. A conceptual framework of intelligent decision-making based on industrial big data-driven technology is proposed in this study, which provides valuable insights and thoughts for the severe challenges and future research directions in this field.

在经济全球化的趋势下，智能制造引起了学术界和产业界的广泛关注。相关使能技术使制造业更加智能化。大数据驱动分析作为人工智能的关键技术之一，通过挖掘工业大数据的隐藏知识价值和潜在能力，提高制造业的市场竞争力，帮助企业领导者在各种复杂的制造环境中做出明智的决策。本文为大数据驱动技术指导智能制造决策提供了理论分析依据，充分论证了大数据驱动技术在智能制造行业的实用性，包括关键优势和内在动因。