Objective This paper presents an intelligent production system of LNG receiving stations from the perspectives of system coupling integration and decoupling implementation of production plans under the guidance of Industry 4.0, based on the combination of big data technology, process mechanism modeling, and optimization algorithms.

Method In terms of system integration, a process thermodynamic model is constructed based on comprehensive production data and the LNG physical property database, revealing the mechanisms of energy conversion coupling among various process sections within the LNG terminal. For production decision decoupling, a demand-driven, full-process production model encompassing natural gas export, LNG gasification, low-pressure pump scheduling, calorific value prediction, and compressor scheduling is established. By adopting optimization algorithms, this model enables real-time solutions to large-scale production optimization problems.

Result In practical production, this work has achieved remarkable results, comprehensively elevating the digital and intelligent production and management capabilities of the terminal. While ensuring production safety, it facilitates energy savings of 5%–10%.

Conclusion This research not only contributes to improving operational efficiency and safety but also meets environmental protection and energy efficiency requirements, achieving a win-win scenario in terms of both economic and social benefits.