Digital-Twins-Driven Semi-Physical Simulation for Testing and Evaluation of Industrial Software in a Smart Manufacturing System
To satisfy the needs of the individualized manufacturing of products, the smart manufacturing system (SMS) is frequently reconfigured. To quickly verify the reliability and adaptability of industrial software in reconfiguring the SMS for new or upgraded product orders, a semi-physical simulation met...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/10/5/388 |
| _version_ | 1797498310401982464 |
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| author | Keqiang Cheng Qiang Wang Dongyu Yang Qingyun Dai Meilin Wang |
| author_facet | Keqiang Cheng Qiang Wang Dongyu Yang Qingyun Dai Meilin Wang |
| author_sort | Keqiang Cheng |
| collection | DOAJ |
| description | To satisfy the needs of the individualized manufacturing of products, the smart manufacturing system (SMS) is frequently reconfigured. To quickly verify the reliability and adaptability of industrial software in reconfiguring the SMS for new or upgraded product orders, a semi-physical simulation method for testing and evaluation of industrial software is proposed based on digital-twins-driven technology. By establishing a semi-physical simulation model of SMS, the reliability and robustness of the software system are quickly verified by running industrial software in various manufacturing scenarios. In this paper, the key technologies to carry out semi-physical simulation testing and evaluation of industrial software for SMSs are expounded in detail, including how to synchronize cyber and physical systems, how to conduct semi-physical accelerated simulation testing, and how to identify defects quickly in industrial software used in actual production environments. By establishing a semi-physical simulation production line model for stepper motors, the effectiveness and practicality of the proposed approach are verified, and the testing verification time of industrial software is significantly reduced. Finally, the robustness of the industrial software for SMS is further verified by conducting fault injection testing, so as to provide implications for fault prognostics or fault-prevention research. |
| first_indexed | 2024-03-10T03:32:35Z |
| format | Article |
| id | doaj.art-2dc1957b2b5e4f98a4110d1fe2d50d85 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-10T03:32:35Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-2dc1957b2b5e4f98a4110d1fe2d50d852023-11-23T11:53:16ZengMDPI AGMachines2075-17022022-05-0110538810.3390/machines10050388Digital-Twins-Driven Semi-Physical Simulation for Testing and Evaluation of Industrial Software in a Smart Manufacturing SystemKeqiang Cheng0Qiang Wang1Dongyu Yang2Qingyun Dai3Meilin Wang4School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaChina Electronic Product Reliability and Environmental Testing Research Institute, Guangzhou 510610, ChinaChina Electronic Product Reliability and Environmental Testing Research Institute, Guangzhou 510610, ChinaSchool of Electronics and Information, Guangdong Polytechnic Normal University, Guangzhou 510665, ChinaSchool of Information Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaTo satisfy the needs of the individualized manufacturing of products, the smart manufacturing system (SMS) is frequently reconfigured. To quickly verify the reliability and adaptability of industrial software in reconfiguring the SMS for new or upgraded product orders, a semi-physical simulation method for testing and evaluation of industrial software is proposed based on digital-twins-driven technology. By establishing a semi-physical simulation model of SMS, the reliability and robustness of the software system are quickly verified by running industrial software in various manufacturing scenarios. In this paper, the key technologies to carry out semi-physical simulation testing and evaluation of industrial software for SMSs are expounded in detail, including how to synchronize cyber and physical systems, how to conduct semi-physical accelerated simulation testing, and how to identify defects quickly in industrial software used in actual production environments. By establishing a semi-physical simulation production line model for stepper motors, the effectiveness and practicality of the proposed approach are verified, and the testing verification time of industrial software is significantly reduced. Finally, the robustness of the industrial software for SMS is further verified by conducting fault injection testing, so as to provide implications for fault prognostics or fault-prevention research.https://www.mdpi.com/2075-1702/10/5/388digital twinindustrial softwaresemi-physical simulationaccelerated testingfault injection |
| spellingShingle | Keqiang Cheng Qiang Wang Dongyu Yang Qingyun Dai Meilin Wang Digital-Twins-Driven Semi-Physical Simulation for Testing and Evaluation of Industrial Software in a Smart Manufacturing System Machines digital twin industrial software semi-physical simulation accelerated testing fault injection |
| title | Digital-Twins-Driven Semi-Physical Simulation for Testing and Evaluation of Industrial Software in a Smart Manufacturing System |
| title_full | Digital-Twins-Driven Semi-Physical Simulation for Testing and Evaluation of Industrial Software in a Smart Manufacturing System |
| title_fullStr | Digital-Twins-Driven Semi-Physical Simulation for Testing and Evaluation of Industrial Software in a Smart Manufacturing System |
| title_full_unstemmed | Digital-Twins-Driven Semi-Physical Simulation for Testing and Evaluation of Industrial Software in a Smart Manufacturing System |
| title_short | Digital-Twins-Driven Semi-Physical Simulation for Testing and Evaluation of Industrial Software in a Smart Manufacturing System |
| title_sort | digital twins driven semi physical simulation for testing and evaluation of industrial software in a smart manufacturing system |
| topic | digital twin industrial software semi-physical simulation accelerated testing fault injection |
| url | https://www.mdpi.com/2075-1702/10/5/388 |
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