A Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations
| Autor: | Chun Ting Chow, Kwok Chun Li, Ching-Hung Lee, Ka Yeung Wong, K. K. H. Ng, Cho Yin Yiu, Tsz Ching Chan |
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| Rok vydání: | 2021 |
| Předmět: |
Technology
QH301-705.5 Process (engineering) Computer science Aviation QC1-999 Human error Real-time computing intelligent automation Data loss Robustness (computer science) digital twin air transport operations General Materials Science Biology (General) QD1-999 shared situational awareness Instrumentation Fluid Flow and Transfer Processes business.industry Physics Process Chemistry and Technology General Engineering Air traffic control Engineering (General). Civil engineering (General) Automation Computer Science Applications Chemistry Systems architecture TA1-2040 business collaborative decision making |
| Zdroj: | Applied Sciences Volume 11 Issue 22 Applied Sciences, Vol 11, Iss 10923, p 10923 (2021) |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app112210923 |
| Popis: | Automation technologies have been deployed widely to boost the efficiency of production and operations, to trim the complicated process, and to reduce the human error involved. Nevertheless, aviation remains human-centred and requires collaboration between different parties. Given the lack of a collaborative decision-making training platform for air traffic operations in the industry, this study utilises the concept of cyber-physical systems (CPS) to formulate a system architecture for pilots and air traffic control officers training in collaborative decision making by linking and integrating the virtual counterparts of flights and air traffic control operations. Collaborative decision-making training and the corresponding intelligent automation aids could be realised and supported. A performance analysis via a flight task undertaken with different computational load settings was prepared to evaluate the platform’s latency and integrity. The latency is presented using its 95% confidence interval, and integrity is presented using the percentage of data loss during wireless transmission. The results demonstrated convincing performance and a promising system robustness in both domains. |
| Databáze: | OpenAIRE |
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