Abstract
In an era characterized by accelerating environmental changes and technological advancements, this research project focuses on developing a photovoltaically powered, intelligent aquaculture base station system to promote efficient automated fisheries development. The system adopts a three-tier closed-loop design with enhanced resilience: the shore-based solar control station ensures self-power supply for fishery operations; the LoRa communication module integrated with oxygen generation units forms a unified unit capable of simultaneous signal transmission and oxygen production; the underwater inspection device is equipped with multi-parameter sensors and a 4K camera system, featuring optimized communication protocols for real-time data transmission, along with magnetic coupling resonance wireless charging technology and multiple fault-tolerance mechanisms to enhance stability; AI-driven decision-making establishes aquaculture models that continuously optimize parameters such as feeding schedules and environmental conditions, advancing green smart fisheries management and achieving optimal fishery operation. This initiative is expected to have profound impacts on economic, social, and ecological environments.
Recommended Citation
Xu, Li-jun; Ge, Pan-min; and Chen, Si-xuan, "Systematic Design of Intelligent Base Station for Fishery Aquaculture" (2026). ICEB 2026 Proceedings (Beijing, China). 86.
https://aisel.aisnet.org/iceb2026/86