A Digital Twin-driven Method for Cross-stage Data Integration of Pressurized Equipment in Design, Manufacturing, and Operation & Maintenance

doi:10.3901/JME.260588

Abstract

Abstract: The integration of digital twin and artificial intelligence with advanced manufacturing technologies is driving the transformation of manufacturing enterprises from production-oriented to service-oriented models. However, pressure vessels, as core equipment in petrochemical and metallurgical industries, face significant challenges including lengthy collaboration chains, high technical requirements, and cross-regional information silos throughout their design, manufacturing, and operation phases. These issues severely limit efficient collaboration and intelligent control across the entire business chain. This paper proposes a digital twin-driven data integration method for pressure vessel full lifecycle management. A digital twin-driven operation mode is established with global information sharing mechanisms. A cross-stage data integration framework spanning design-manufacturing- operation phases is developed, incorporating key technologies such as lifecycle data fusion, virtual-real model mapping with semantic alignment, and AI-driven data mining. The method's feasibility and effectiveness are validated through a shell-and-tube heat exchanger optimization case in a refinery. Results show that the proposed approach significantly enhances cross-stage data integration, improves design and operational efficiency, reduces failure rates and maintenance costs, providing robust support for intelligent transformation and sustainable maintenance of pressure vessels.

Key words: digital twin, pressurized equipment, full lifecycle, data integration, artifical Intelligence

CLC Number:

TH49
TP391

LI Xiaobing, HUANG Wenming, JIANG Pei, YIN Chao, Cao Huajun. A Digital Twin-driven Method for Cross-stage Data Integration of Pressurized Equipment in Design, Manufacturing, and Operation & Maintenance[J]. Journal of Mechanical Engineering, 2026, 62(11): 48-60.

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URL: http://www.cjmenet.com.cn/EN/10.3901/JME.260588

http://www.cjmenet.com.cn/EN/Y2026/V62/I11/48

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