Author(s)

Junkai Yang ¹, Sisi Wang ¹

Affiliation(s)

¹ Naval Architecture and Shipping College, Guangdong Ocean University, Zhanjiang, 524088, China

Corresponding Author

Sisi Wang

ABSTRACT

Self-propelled aquaculture vessels integrate navigation, aquaculture production, station-keeping, relocation and emergency sheltering functions. Their principal dimensions, beam, low-speed manoeuvring capability, aquaculture structures and operational states differ from those of conventional transport ships. When AIS encounter samples for this ship type are limited, direct use of merchant-ship domains may underestimate low-speed manoeuvring and lateral-clearance requirements. This paper proposes, at the methodological level, an AIS-driven dynamic hybrid ship-domain framework based on similar-vessel transfer. AIS-derived empirical boundaries of similar reference vessels are used as the data basis, while manoeuvrability constraints, operational-state constraints and an expert-defined lower safety bound are introduced as corrections. The framework is intended to guide subsequent model construction, parameter calibration and performance validation, and may provide a methodological basis for safety-boundary modelling in collision-risk identification, early warning and collision-avoidance decision-making for unmanned aquaculture vessels. Its engineering applicability requires further verification using AIS data from target waters, manoeuvring simulations, numerical experiments and simulator-based tests.

KEYWORDS

AIS, ship domain, self-propelled aquaculture vessel, manoeuvrability constraint, autonomous collision avoidance

CITE THIS PAPER

Junkai Yang, Sisi Wang. A Data-Driven Dynamic Hybrid Ship-Domain Framework for Self-Propelled Aquaculture Vessels. Journal of Electronics and Information Science (2026). Vol. 11, No. 1, 52-58. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2026.110107.

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