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The complexity and numerous influencing factors of the industrial chain make precise monitoring, optimized control, and scientific management extremely difficult. However, utilizing big data technology to achieve full factor correlation analysis of industries is an effective way to support the modernization development of industries in the future. On the basis of analyzing the current situation of industrial big data applications, this article elaborates on the functions and objectives of the industrial big data platform, and constructs the overall architecture of the platform from four aspects: technical architecture, data architecture, application architecture, and physical architecture. At the same time, this article also analyzes the two key technologies involved in the platform, and combines machine learning related algorithms to profile enterprises, multi-dimensional mining of enterprise information for data display services. By building this platform, precise industrial management based on big data can be achieved, more scientific and objective industrial guidance policies can be formulated, supporting industrial management decisions, and providing valuable references for industrial informatization and intelligent transformation and upgrading.
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Yu et al. (2023) studied this question.
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