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 s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/22/10088 |
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| author | Dinu Daraba Florina Pop Catalin Daraba |
| author_facet | Dinu Daraba Florina Pop Catalin Daraba |
| author_sort | Dinu Daraba |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-db3b1adfb8f84e1fa3e7fc5ff598da73 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-db3b1adfb8f84e1fa3e7fc5ff598da732025-08-20T01:53:48ZengMDPI AGApplied Sciences2076-34172024-11-0114221008810.3390/app142210088Digital Twin Used in Real-Time Monitoring of Operations Performed on CNC Technological EquipmentDinu Daraba0Florina Pop1Catalin Daraba2Engineering and Technology Management Department, Technical University of Cluj-Napoca, 400347 Cluj-Napoca, RomaniaOperational Excellence (OPEX) Department, XD Connects Printmasters, 437095 Baia Mare, RomaniaEngineering and Technology Management Department, Technical University of Cluj-Napoca, 400347 Cluj-Napoca, RomaniaThis 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.https://www.mdpi.com/2076-3417/14/22/10088CNC machinesdigital twinreal-time monitoringprocess optimizationhuman–machine collaboration |
| spellingShingle | Dinu Daraba Florina Pop Catalin Daraba Digital Twin Used in Real-Time Monitoring of Operations Performed on CNC Technological Equipment Applied Sciences CNC machines digital twin real-time monitoring process optimization human–machine collaboration |
| title | Digital Twin Used in Real-Time Monitoring of Operations Performed on CNC Technological Equipment |
| title_full | Digital Twin Used in Real-Time Monitoring of Operations Performed on CNC Technological Equipment |
| title_fullStr | Digital Twin Used in Real-Time Monitoring of Operations Performed on CNC Technological Equipment |
| title_full_unstemmed | Digital Twin Used in Real-Time Monitoring of Operations Performed on CNC Technological Equipment |
| title_short | Digital Twin Used in Real-Time Monitoring of Operations Performed on CNC Technological Equipment |
| title_sort | digital twin used in real time monitoring of operations performed on cnc technological equipment |
| topic | CNC machines digital twin real-time monitoring process optimization human–machine collaboration |
| url | https://www.mdpi.com/2076-3417/14/22/10088 |
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