Scenario model–driven CPS design: methods and applications

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Authors: Mengjin Qu, Shihong Li, Yining Yao, Kui Liu, Qing Li
Cited by: 2
References: 52

Abstract

Advancing AI enhances CPS capabilities but complicates human-system interactions. To address these challenges, this paper proposes a scenario-driven CPS design method based on an industrial-intelligence framework, focusing on system elements, hierarchies, and activities. We apply this framework to diverse scenarios—including power-system maintenance, flight management, and intelligent mining—using model-based techniques. These applications validate the framework’s effectiveness and provide a robust modeling foundation for real-world CPS development.

Fields of Study & Subjects

Advanced Software Engineering Methodologies Systems Engineering Methodologies and Applications Model-Driven Software Engineering Techniques

Publication details

Journal / source
Enterprise Information Systems
Publisher
Informa UK Limited
Volume
20
Issue
4
Publication date
10 March 2026
Language
EN