Design of Shore-based Interactive Software based on QT
Pages 106 - 113
Abstract
The ocean is a huge treasure house of resources. With the exploitation of the earth’s surface resources exhausted, people are increasingly exploring and exploiting the ocean. Autonomous Underwater Vehicle (AUV) is an indispensable tool in the process of human exploration of the sea, and plays an important role in marine development, seabed exploration and marine investigation. However, due to the unpredictable underwater environment, the control of AUV and real-time monitoring of its status are essential when the aircraft is conducting sea trials. To solve this problem, this paper designs a shore-based control software. This paper aims at the AUV developed based on MOOS system, uses the Qt development platform to complete the system design, and realizes the real-time control and status monitoring of the AUV. Through the sea experiment, the related functions of the shore-based operating system were tested, and the results proved the reliability and practicability of the system, which can provide guarantee for the safe operation of AUV.
References
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Xiang Chen and Ji Sun. 2013. Design of greenhouse environment monitoring system based on Qt platform. In International Conference on Measurement, Instrumentation and Automation.
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Tan Dapeng, Li Peiyu, Pan Xiaohong, and Boyu Lin. 2008. Lightweight GUI Components Library Development Oriented to Embedded Industry Monitoring System Based on Qt/E. In International Conference on Convergence Information Technology.
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Chen Gong, X. U. Hong-Li, and Yao Jun. 2016. Design and Development of AUV Water Monitoring Software Based on Qt. Automation & Instrumentation (2016).
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Jiyeon Kim and Dongik Lee. 2014. The Effectiveness of MOOS-IvP based Design of Control System for Unmanned Underwater Vehicles. IEMEK Journal of Embedded Systems and Applications 9, 3 (2014), 157–163.
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Index Terms
- Design of Shore-based Interactive Software based on QT
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Published In
October 2023
589 pages
ISBN:9798400707988
DOI:10.1145/3633637
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 28 February 2024
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- Refereed limited
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ICCPR 2023
ICCPR 2023: 2023 12th International Conference on Computing and Pattern Recognition
October 27 - 29, 2023
Qingdao, China
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