Using Digital Twin Documents to Control a Smart Factory: Simulation Approach with ROS, Gazebo, and Twinbase

Article Computer Science, Interdisciplinary Applications

KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0

Qiushi Cao et al.

Summary: In the context of Industry 4.0, smart factories utilize advanced technologies for production monitoring and analysis, but the heterogeneous nature of industrial data leads to complex knowledge extraction. In order to achieve predictive maintenance, symbolic AI technologies are required. KSPMI is a knowledge-based system developed based on a hybrid approach utilizing both statistical and symbolic AI technologies.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2022)

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Review Engineering, Industrial

Review of digital twin about concepts, technologies, and industrial applications

Mengnan Liu et al.

Summary: Engineering software and digitalized equipment are widely used in the industrial product lifecycle, generating massive data. The concept of digital twin has gained much attention and sparked debates. A comprehensive review of 240 academic publications reveals the research status, key technologies, and industrial applications of digital twin.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Engineering, Industrial

Non-centralised control strategies for energy-efficient and flexible manufacturing systems

Jenny L. C. Diaz et al.

Summary: This work focuses on designing non-centralised control architectures to enhance energy efficiency and flexibility in manufacturing systems. By dividing systems into sub-systems and using distributed optimization techniques, the proposed strategies aim to minimize total energy consumption and achieve closed-loop performance similar to centralized control.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Multidisciplinary Sciences

Digital twins as run-time predictive models for the resilience of cyber-physical systems: a conceptual framework

Francesco Flammini

Summary: Digital twins are being widely used for modeling and performance prediction in cyber-physical systems, and this paper focuses on data-driven evaluation and prediction through a conceptual framework based on autonomic systems.

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2021)

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Article Computer Science, Information Systems

Twinbase: Open-Source Server Software for the Digital Twin Web

Juuso Autiosalo et al.

Summary: Digital twins are expected to form a network called Digital Twin Web in the future, which follows a structure similar to the World Wide Web. Twinbase, an open-source Digital Twin Web server developed with user-friendliness in mind, stores and distributes digital twin documents using Git workflows. The Digital Twin Web requires established standards for efficient usage and relies on globally accessible and transferable identifiers for proper functionality.

IEEE ACCESS (2021)

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Article Computer Science, Information Systems