Vietnam Maritime University’s AI Breakthrough Cuts Simulation Delays to Milliseconds

In a significant stride towards enhancing maritime training and simulation technology, researchers from Vietnam Maritime University have developed an innovative approach to improve the real-time control of maritime simulation systems. The study, led by Truong Cong My from the School of Electrical and Electronics Engineering, focuses on mitigating the time delay issues prevalent in current systems, thereby paving the way for more effective and autonomous maritime training solutions.

Maritime simulation systems are crucial tools for training seafarers, allowing them to practice navigation, maneuvering, and ship handling in a safe, controlled environment. However, existing systems often rely on conventional control methods that introduce delays, limiting their effectiveness in real-time scenarios. The research published in the Journal of Informatics Visualization (JOIV) addresses this challenge by employing artificial neural networks (ANNs) to control the dynamic model of a cockpit cabin deck with three degrees of freedom (3 DOF).

The traditional systems, which depend on technology transfers from other countries, often face issues such as high costs, lengthy delays, and reduced national security. By developing a domestic solution, the researchers aim to overcome these hurdles and enhance technological autonomy. The novel approach involves using ANNs to control the motion platform, which is built on the Stewart platform design principle. This method significantly reduces the time delay from up to 1200ms to a more responsive range, improving the system’s ability to react to real-time control commands.

“The findings demonstrate that the reaction to real-time control, rotation error, and drive/servo system movement are all greatly improved,” said Truong Cong My, lead author of the study. This enhancement not only boosts the training effectiveness but also opens up new opportunities for the maritime sector to develop advanced, locally-produced simulation technologies.

The commercial impacts of this research are substantial. By reducing reliance on foreign technology, maritime simulation systems can become more cost-effective and accessible, particularly for developing nations. The improved real-time control capabilities can also enhance the accuracy and reliability of training programs, leading to better-prepared seafarers. Additionally, the development of domestic simulation technologies can stimulate local economies by creating jobs and fostering innovation in the maritime sector.

“This research is a step forward in making maritime training more efficient and autonomous,” added Truong Cong My. The study not only addresses the technical challenges but also highlights the broader implications for the maritime industry, emphasizing the importance of technological independence and innovation.

As the maritime sector continues to evolve, the integration of advanced technologies like ANNs into simulation systems will play a pivotal role in shaping the future of training and operational practices. The research published in the Journal of Informatics Visualization serves as a testament to the potential of domestic innovation and its impact on global maritime standards.

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