中圖分類號(hào)：T-01 文獻(xiàn)標(biāo)志碼：A DOI: 10.16157/j.issn.0258-7998.257630 中文引用格式： 徐赤，王維維，林大濤，等. 離散制造企業(yè)數(shù)字化改造新范式[J]. 電子技術(shù)應(yīng)用，2026，52(3)：139-148. 英文引用格式： Xu Chi，Wang Weiwei，Lin Datao，et al. A new paradigm for digital transformation in discrete manufacturing enterprises[J]. Application of Electronic Technique，2026，52(3)：139-148.
A new paradigm for digital transformation in discrete manufacturing enterprises
Xu Chi1，Wang Weiwei2，Lin Datao3，Zhu Han3
1.Hangzhou Institute of Automation Technology；2.China Jiliang University；3.TuKua Digital Technology （Hangzhou） Co.， Ltd.
Abstract： Discrete manufacturing enterprises face multiple challenges in advancing digital transformation, including prominent data silos, inadequate data governance systems, inconsistencies between system data and operational scheduling mechanisms, insufficient application collaboration, and unclear implementation pathways. This paper first systematically analyzes the advantages and limitations of existing mainstream technical solutions such as data middle platform, industrial internet platform, microservice architecture, and enterprise service bus, pointing out their common problems in addressing the needs of small and medium-sized discrete manufacturing enterprises, including data-business separation, insufficient data reliability assurance, cost-benefit contradictions, and lack of unified scheduling mechanisms. To address these issues, this paper proposes a new paradigm for digital transformation, which mainly includes the following innovative measures: Using data standards as the breakthrough point, establish a comprehensive data governance system that covers all aspects, encompasses all data, and operates in real time across manufacturing enterprises; Centered around the corporate brain, build a radial digital architecture supported by large models; Using the data foundation as a platform, establish a unified scheduling mechanism for multi-source heterogeneous system data and business operations; Adopting the principles of small, fast, lightweight, and precise, to build a micro-unit collaborative application cluster model based on low-code development; Using transparent factories as the implementation vehicle, to explore new pathways for enterprise digital transformation and future factory construction. The new paradigm effectively addresses the limitations of existing solu
Key words : discrete manufacturing；digitalization；enterprise brain； data foundation；application cluster；data governance
