The Chinese White Dolphin, often referred to as the "Panda of the Sea," serves as a critical indicator species for evaluating the health of the marine ecosystem. Xiamen, in China's Fujian Province, is the only city where these dolphins can be observed within an urban setting. However, the waters around Xiamen Bay, which are home to the Chinese White Dolphin, are increasingly impacted by marine engineering projects and dense maritime traffic, including ferries, fishing boats, engineering vessels, yachts, and speedboats. This surge in activity within the core habitat of the species highlights the urgent need for enhanced monitoring and regulation of the Xiamen Rare Marine Species National Nature Reserve. The solution to this challenge leverages 5G-A integrated sensing and artificial intelligence technology. This system monitors vessel activity in real-time, collects navigation data, and integrates critical meteorological, hydrological, and marine engineering operation data. Through this data fusion, it offers decision-making support by analyzing and identifying abnormal behaviors, issuing alerts, and providing emergency response services for the conservation area. This technology helps mitigate risks, enhancing protection for the Chinese White Dolphin and supporting the preservation of other marine life in the region. Key aspects of this approach include: 1) 5G-A Integrated Sensing Technology: A comprehensive, all-weather, multi-dimensional sensing network is established for the dolphin conservation area. By incorporating 5G-A base stations, radar systems, visual terminals, AIS, VHF, and standard data-sharing interfaces, the network facilitates real-time data exchange and intelligent processing between vessels and shore operations in the protected waters. 2)AI-Based Supervision System: A large-scale AI-driven model is employed to oversee the conservation area. This model addresses challenges such as high vessel density, collision risks, and the complexity of monitoring the marine environment. By fusing multi-source, spatiotemporal data on ship navigation and power operations, the system enables advanced reasoning and data interpretation, providing actionable insights for managing the conservation zone.