Digital Twin Used in Real-Time Monitoring of Operations Performed on CNC Technological Equipment

This article presents the development and implementation of a real-time monitoring solution designed for CNC machines, specifically applied to 150 industrial printing machines, leveraging Digital Twin (DT) technology. The system integrates an SQL database with Android and .NET interfaces, ensuring seamless data synchronization across all machines and optimizing production processes. The real-time monitoring enables immediate reflection of operational changes, enhancing predictive maintenance and reducing machine downtime. A notable feature of the system is its 1 s average data synchronization rate per machine, managing 150 resources distributed over a 10,000 mp area. This fast synchronization improves workflow coordination, reducing production time by approximately 10%, and minimizing operator delays caused by material issues, machine malfunctions, or product defects. The integration of advanced analytics further supports real-time decision-making, predictive maintenance, and performance optimization, aligning the solution with the objectives of Industry 4.0 and Industry 5.0 initiatives. This version reflects the specific results of the research, including the 1 s synchronization rate, the 10% reduction in production time, and the scalability of the system for 150 resources.

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Institutions

Publication Details

Journal
Applied Sciences
Published
2024-11-05
DOI
https://doi.org/10.3390/app142210088
Citations
20
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
6.98

Funders

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article

Digital Twin Used in Real-Time Monitoring of Operations Performed on CNC Technological Equipment

Catalin Daraba, Dinu Darabă, Florina Silvia Pop
20 citations
Applied Sciences
Digital Transformation in Industry
6.98
article

Digital Twin Used in Real-Time Monitoring of Operations Performed on CNC Technological Equipment

Catalin Daraba, Dinu Darabă, Florina Silvia Pop
article en
20 citations

Abstract

This article presents the development and implementation of a real-time monitoring solution designed for CNC machines, specifically applied to 150 industrial printing machines, leveraging Digital Twin (DT) technology. The system integrates an SQL database with Android and .NET interfaces, ensuring seamless data synchronization across all machines and optimizing production processes. The real-time monitoring enables immediate reflection of operational changes, enhancing predictive maintenance and reducing machine downtime. A notable feature of the system is its 1 s average data synchronization rate per machine, managing 150 resources distributed over a 10,000 mp area. This fast synchronization improves workflow coordination, reducing production time by approximately 10%, and minimizing operator delays caused by material issues, machine malfunctions, or product defects. The integration of advanced analytics further supports real-time decision-making, predictive maintenance, and performance optimization, aligning the solution with the objectives of Industry 4.0 and Industry 5.0 initiatives. This version reflects the specific results of the research, including the 1 s synchronization rate, the 10% reduction in production time, and the scalability of the system for 150 resources.

Applied SciencesVol. 14(22)
Technical University of Cluj-Napoca (RO)
Universitatea Tehnică din Cluj-Napoca
Openalex Percentile: Top 3%
Digital Transformation in Industry
6.98
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Digital Twin Used in Real-Time Monitoring of Operations Performed on CNC Technological Equipment — Catalin Daraba, Dinu Darabă, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS