Article Details

Title · Authors · Abstract · Keywords · DOI · References

Application of AI-based Multi-dimensional Big Data Analysis in the Intelligent Supervision of Refined Oil Products

HUANG Yili

(Nanchong Branch of China Telecom Co., Ltd., Nanchong 637000, China)

Section：Internet of Things · Vol. 2026, Issue 7 · Pages：189-192 · 2096-4706（2026）07-0189-04 · CLC number：TP391 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.07.037

Abstract

In the regulation of the refined oil circulation industry, the application of “AI + big data” technologies to achieve intelligent supervision holds significant value and broad prospects. This study adopts a multi-dimensional data analysis approach to build an AI-based intelligent regulatory platform capable of real-time processing and intelligent analysis of massive datasets. The proposed platform not only enhances the monitoring capability for issues such as tax losses and illegal operations in the oil market, but also helps safeguard consumers' legitimate rights and interests. Meanwhile, it provides data-driven support for precise decision-making by government authorities and contributes positively to the optimization of the business environment, demonstrating strong potential for wider implementation.

Keywords

AI+Big Data; refined oil products; intelligent supervision; data-driven

References

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About the authors

Huang Yili (1991-), female, Han nationality, from Zigong, Sichuan, engineer, master's degree, research direction: communication technology, big data, and Internet of Things technology.