Paper
7 August 2024 Application of digital twin in intelligent supervision of ship pollution prevention and control in ship lock waters
Junwen Wang, Xiaodong Yang, Xiaogang An
Author Affiliations +
Proceedings Volume 13224, 4th International Conference on Internet of Things and Smart City (IoTSC 2024); 132240Y (2024) https://doi.org/10.1117/12.3034853
Event: 4th International Conference on Internet of Things and Smart City, 2024, Hangzhou, China
Abstract
Ship locks not only undertake the task of inland navigation, but also the water environment of ship locks is related to people's livelihood in inland river basins. Traditional supervision of ship pollution prevention and control in ship lock waters still adopts sampling monitoring, manual experience judgment, naked eye observation, manual recording and statistical analysis, etc., which not only affects waterway transportation, but also manually misses inspection, and the emergency response of sewage discharge lags behind, which makes it difficult to meet the requirements of modern operation and maintenance management of ship locks. Combined with the current situation of ship pollution prevention and control supervision in ship locks and the characteristics of digital twin technology, this paper uses digital twin technology from the perspective of operation and maintenance management to build an intelligent supervision system for ship pollution prevention and control in ship lock waters, which provides reference for promoting the intelligent supervision and construction of ship pollution prevention and control in ship lock waters.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Junwen Wang, Xiaodong Yang, and Xiaogang An "Application of digital twin in intelligent supervision of ship pollution prevention and control in ship lock waters", Proc. SPIE 13224, 4th International Conference on Internet of Things and Smart City (IoTSC 2024), 132240Y (7 August 2024); https://doi.org/10.1117/12.3034853
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KEYWORDS
Pollution

Pollution control

Data modeling

Environmental monitoring

Control systems

Data conversion

Data acquisition

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